Hao Wu | Protein engineering | Best Researcher Award

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Assoc. Prof. Dr. Hao Wu | Protein engineering | Best Researcher Award

Teacher  at Changsha University of Science and Technology, China

Dr. Hao Wu is a highly qualified researcher with a Ph.D. in Microbiology and extensive postdoctoral experience. Currently serving as an Associate Professor at Changsha University of Science & Technology, his research focuses on food biotechnology, protein engineering, and synthetic biology, particularly in the development of anti-diabetic compounds, enzyme engineering, and the production of human milk oligosaccharides. With over 20 publications in high-impact journals and leadership in numerous first-author and corresponding author roles, Dr. Wu has made significant contributions to applied food science and biotechnology. His work on enzyme stability and microbial fermentation has direct industrial and health-related implications. Additionally, he is actively involved in peer review and editorial positions for several prestigious journals. While his profile would benefit from further recognition through awards and major project leadership, his impressive publication record and research contributions make him a strong contender for the Best Researcher Award.

Professional Profile 

Education🎓

Dr. Hao Wu holds a Ph.D. in Microbiology, which he earned in 2019 from Guangxi University in Nanning, Guangxi, China. He also completed his Bachelor of Science in Bioengineering at Guangxi University in 2013. His academic background provides a solid foundation for his current research, bridging microbiology, biotechnology, and food science. During his doctoral studies, Dr. Wu specialized in the molecular aspects of food biotechnology and protein engineering, laying the groundwork for his postdoctoral research at Jiangnan University. This advanced training has been crucial in shaping his research focus on the production of anti-diabetic compounds, enzyme modification, and synthetic biology applications. Throughout his academic journey, Dr. Wu has gained a strong grasp of both theoretical and practical aspects of bioengineering, allowing him to make significant contributions to the field of food biotechnology. His educational path reflects a deep commitment to advancing the understanding of microbiology and food science.

Professional Experience📝

Dr. Hao Wu has a rich professional background, combining research and teaching roles in the field of food biotechnology. After completing his Ph.D., he gained postdoctoral experience at Jiangnan University, where he advanced his research in protein engineering and microbial fermentation techniques. In December 2021, Dr. Wu joined Changsha University of Science & Technology as an Associate Professor in the School of Food Science and Bioengineering, where he has continued his research on food biotechnology, synthetic biology, and enzyme engineering. His work focuses on developing innovative solutions such as producing anti-diabetic compounds through microbial fermentation and engineering enzymes for the production of functional sugars and sugar alcohols. Dr. Wu’s role as a professor also involves mentoring graduate students and contributing to the university’s research initiatives. His experience as a peer reviewer and editorial board member for numerous scientific journals further highlights his active engagement in the scientific community.

Research Interest🔎

Dr. Hao Wu’s research interests are centered around food biotechnology, protein engineering, fermentation engineering, and synthetic biology. His work focuses on the development of potential anti-diabetic compounds through microbial fermentation techniques, employing methods such as microbial mutation breeding and fermentation process control. Additionally, Dr. Wu is dedicated to the molecular modification of enzymes, particularly in improving their thermal stability, catalytic activity, and substrate specificity for the production of functional sugars and sugar alcohols. Another key area of his research involves using cutting-edge synthetic biological technologies, including gene editing and metabolic engineering, to design and construct efficient cell factories for producing human milk oligosaccharides. His innovative approaches aim to address pressing challenges in the food industry, including the creation of healthier food ingredients and more sustainable production methods. Dr. Wu’s interdisciplinary expertise allows him to make significant contributions to both the scientific community and the applied biotechnology sector.

Award and Honor🏆

Dr. Hao Wu has earned several notable awards and honors throughout his academic and professional career, reflecting his outstanding contributions to the fields of food biotechnology and microbiology. As a leading researcher in the production of functional food ingredients and enzyme engineering, he has gained recognition for his innovative work, particularly in developing anti-diabetic compounds through microbial fermentation and engineering enzymes with improved properties. His research has been widely published in prestigious journals, and his work has attracted significant attention from the scientific community. Dr. Wu’s leadership extends beyond research, as he serves as a peer reviewer for numerous scientific journals, such as Journal of Agricultural and Food Chemistry and Critical Reviews in Food Science and Nutrition. His expertise has also led to editorial roles, including membership on the editorial boards of Food Science and Human Wellness and Journal of Future Foods, further demonstrating his respected status in the field.

Research Skill🔬

Dr. Hao Wu possesses a diverse set of research skills that have significantly contributed to his success in food biotechnology and microbiology. His expertise spans several advanced techniques, including microbial fermentation, protein engineering, and enzyme modification. Dr. Wu is proficient in employing microbial mutation breeding and fermentation process control to produce bioactive compounds, particularly for anti-diabetic applications. His work in molecular modification of enzymes focuses on improving their thermal stability, catalytic activity, and substrate specificity, using cutting-edge approaches like computational design and rational engineering. In addition, Dr. Wu is well-versed in synthetic biology techniques, such as gene editing and metabolic engineering, which he uses to design high-efficiency cell factories for the production of human milk oligosaccharides. His ability to integrate various biotechnological methodologies, along with his comprehensive understanding of biochemistry, enables him to address complex challenges and make innovative contributions to both the scientific community and the food industry.

Conclusion💡

Dr. Hao Wu is a strong candidate for the Best Researcher Award, particularly due to his:

  • High-quality publications,

  • Pioneering work in enzyme and metabolic engineering,

  • Leadership in synthetic biology applications for food science, and

  • Active contribution to the academic community through editorial roles.

If complemented by evidence of major grant leadership, mentorship of young researchers, and international academic visibility, his candidacy would be even more compelling.

Publications Top Noted✍️

  • Research Progress on the Preparation and Function of Antioxidant Peptides from Walnuts

    • Authors: Yuxi Hu, Ce Ni, Yingying Wang, Xun Yu, Hao Wu, Jia Tu, Changzhu Li, Zhihong Xiao, Li Wen

    • Year: 2023

    • Citation: International Journal of Molecular Sciences, DOI: 10.3390/ijms241914853

  • D-allulose, a Versatile Rare Sugar: Recent Biotechnological Advances and Challenges

    • Authors: Wenli Zhang, Ding Chen, Jiajun Chen, Wei Xu, Qiuming Chen, Hao Wu, Cuie Guang, Wanmeng Mu

    • Year: 2023

    • Citation: Critical Reviews in Food Science and Nutrition, DOI: 10.1080/10408398.2021.2023091

  • Engineering the Thermostability of D-lyxose Isomerase from Caldanaerobius Polysaccharolyticus via Multiple Computer-Aided Rational Design for Efficient Synthesis of D-Mannose

    • Authors: Hao Wu, Ming Yi, Xiaoyi Wu, Yating Ding, Minghui Pu, Li Wen, Yunhui Cheng, Wenli Zhang, Wanmeng Mu

    • Year: 2023

    • Citation: Synthetic and Systems Biotechnology, DOI: 10.1016/j.synbio.2023.04.003

  • Overview of Strategies for Developing High Thermostability Industrial Enzymes: Discovery, Mechanism, Modification and Challenges

    • Authors: Hao Wu, Qiuming Chen, Wenli Zhang, Wanmeng Mu

    • Year: 2023

    • Citation: Critical Reviews in Food Science and Nutrition, DOI: 10.1080/10408398.2021.1970508

  • Alanine Substitution to Determine the Effect of LR5 and YR6 Rice Peptide Structure on Antioxidant and Anti-Inflammatory Activity

    • Authors: Yun-Hui Cheng, Bu-Qing Liu, Bo Cui, Li Wen, Zhou Xu, Mao-Long Chen, Hao Wu

    • Year: 2023

    • Citation: Nutrients, DOI: 10.3390/nu15102373

  • Recent Development of Phenyllactic Acid: Physicochemical Properties, Biotechnological Production Strategies and Applications

    • Authors: Hao Wu, Cuie Guang, Wenli Zhang, Wanmeng Mu

    • Year: 2023

    • Citation: Critical Reviews in Biotechnology, DOI: 10.1080/07388551.2021.2010645

  • Application Prospects and Opportunities of Inorganic Nanomaterials for Enzyme Immobilization in the Food-Processing Industry

  • Glycosyltransferase from Bacteroides Gallinaceum Is a Novel α-1,3-Fucosyltransferase That Can Be Used for 3-Fucosyllactose Production In Vivo by Metabolically Engineered Escherichia Coli

    • Authors: Geng Chen, Hao Wu, Yingying Zhu, Li Wan, Wenli Zhang, Wanmeng Mu

    • Year: 2022

    • Citation: Journal of Agricultural and Food Chemistry, DOI: 10.1021/acs.jafc.1c06719

  • D-Mannose-Producing Isomerases and Epimerases: Properties, Comparisons, and Different Strategies

  • L-Arabinose Isomerase: Sources, Biochemical Properties, and Its Use to Produce D-Tagatose

  • Engineering Escherichia Coli for Highly Efficient Production of Lacto-N-triose II from N-acetylglucosamine, the Monomer of Chitin

  • Efficient Control of Acrylamide in French Fries by an Extraordinarily Active and Thermo-Stable L-Asparaginase: A Lab-Scale Study

  • Microbial Production, Molecular Modification, and Practical Application of L-Asparaginase: A Review

  • Metabolic Engineering of Escherichia Coli for Efficient Biosynthesis of Lacto-N-tetraose Using a Novel β-1,3-Galactosyltransferase from Pseudogulbenkiania Ferrooxidans

  • Metabolic Engineering of Escherichia Coli for Lacto-N-triose II Production with High Productivity

Pedro Bertemes-Filho | Biomedical Engineering | Best Researcher Award

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Prof. Dr. Pedro Bertemes-Filho | Biomedical Engineering | Best Researcher Award

Santa Catarina State University, Brazil

Dr. Pedro Bertemes Filho is a distinguished researcher in biomedical engineering, specializing in electrical bioimpedance and medical instrumentation. With a Ph.D. in Medical Physics from the University of Sheffield, he has contributed significantly to biomedical signal processing and the development of wireless clinical devices. His recent focus includes electrical impedance spectroscopy for tissue characterization and cervical cancer diagnosis through large-scale clinical studies in Brazil. As a full professor at UDESC, he leads the Biomedical Engineering research group and teaches across undergraduate to PhD levels. He has held postdoctoral positions at prestigious institutions, including the University of São Paulo and Dartmouth College, and actively collaborates internationally. Dr. Filho serves on editorial boards, is a peer reviewer for leading journals, and holds leadership roles in global bioimpedance societies. His innovative research, academic leadership, and global engagement make him a highly suitable candidate for the Best Researcher Award, recognizing his sustained excellence and impactful contributions.

Professional Profile 

Education🎓

Dr. Pedro Bertemes Filho has an extensive and distinguished academic background in the field of biomedical engineering. He earned his Ph.D. in Medical Physics from the University of Sheffield in the United Kingdom, where he conducted pioneering research in electrical bioimpedance. Prior to his doctoral studies, he completed his undergraduate and master’s degrees in Electrical Engineering in Brazil, laying a strong foundation in electronics and signal processing. Over the years, he has pursued postdoctoral research at renowned institutions such as the University of São Paulo, Brazil, and Dartmouth College, USA, further enhancing his expertise in biomedical instrumentation and clinical applications. His academic journey reflects a deep commitment to interdisciplinary learning and innovation, blending engineering principles with medical sciences. This diverse and robust educational background has equipped him with the knowledge and skills to lead cutting-edge research and mentor students at all academic levels, from undergraduate to doctoral programs, in biomedical engineering.

Professional Experience📝

Dr. Pedro Bertemes Filho has accumulated extensive professional experience in the field of biomedical engineering, marked by academic leadership, innovative research, and international collaboration. He is a full professor at the State University of Santa Catarina (UDESC) in Brazil, where he has played a vital role in advancing research in electrical bioimpedance and biomedical instrumentation. Throughout his career, Dr. Bertemes Filho has led numerous research projects, contributed to scientific development through high-impact publications, and secured funding from national and international agencies. His work includes collaborations with hospitals and universities across Europe, the United States, and Latin America, promoting interdisciplinary applications of biomedical engineering in diagnostics and health monitoring. In addition to research, he has served in various academic leadership roles, including department head and graduate program coordinator, fostering educational excellence and innovation. His professional journey highlights a blend of technical expertise, mentorship, and commitment to improving healthcare through engineering solutions.

Research Interest🔎

Dr. Pedro Bertemes Filho’s research interests lie primarily in the field of biomedical engineering, with a strong focus on electrical bioimpedance, biomedical instrumentation, and the development of non-invasive diagnostic techniques. He is particularly interested in using bioimpedance technology to monitor physiological parameters and detect abnormalities in biological tissues, which has significant implications for early disease diagnosis and patient care. His research also explores the integration of sensors and electronic systems for real-time health monitoring, aiming to improve accessibility and accuracy in clinical settings. Dr. Bertemes Filho is passionate about interdisciplinary approaches, often collaborating with professionals from medicine, physics, and computer science to develop innovative healthcare solutions. His studies are deeply rooted in practical applications, targeting enhancements in diagnostic tools, medical devices, and patient monitoring systems. Through his research, he seeks to bridge the gap between engineering and medicine, ultimately contributing to the advancement of personalized and preventive healthcare technologies.

Award and Honor🏆

Dr. Pedro Bertemes Filho has received numerous awards and honors in recognition of his exceptional contributions to biomedical engineering and academic excellence. He has been acknowledged for his pioneering work in electrical bioimpedance and biomedical instrumentation, which has significantly advanced non-invasive diagnostic techniques. Throughout his career, Dr. Bertemes Filho has earned several research grants and fellowships, both nationally and internationally, underscoring the impact and innovation of his work. He has also been invited as a keynote speaker at prestigious conferences and has served on editorial boards of respected scientific journals, reflecting his leadership in the field. His dedication to teaching and mentoring has been celebrated with academic awards from institutions where he has served, recognizing his commitment to nurturing future scientists and engineers. These accolades not only highlight his scientific achievements but also affirm his role as an influential figure in the global biomedical research community.

Research Skill🔬

Dr. Pedro Bertemes Filho possesses a diverse and robust set of research skills that have significantly advanced the field of biomedical engineering. His expertise lies in electrical bioimpedance, signal processing, and the development of non-invasive diagnostic devices. He is proficient in designing and implementing biomedical instrumentation, integrating both hardware and software components to create innovative solutions for healthcare. Dr. Bertemes Filho is skilled in data acquisition, statistical analysis, and computational modeling, which are essential for validating experimental results and enhancing the accuracy of biomedical systems. He has a strong command of simulation tools and programming languages commonly used in research environments. Additionally, his collaborative approach enables him to work effectively with multidisciplinary teams, fostering innovation across fields such as medicine, electronics, and physics. His ability to translate complex theoretical concepts into practical applications demonstrates his analytical thinking, problem-solving capacity, and commitment to advancing scientific knowledge for real-world impact.

Publications Top Noted✍️

  • Title: A comparison of modified Howland circuits as current generators with current mirror type circuits
    Authors: P. Bertemes-Filho, B.H. Brown, A.J. Wilson
    Year: 2000
    Citations: 130

  • Title: Bipolar and tetrapolar transfer impedance measurements from volume conductor
    Authors: B.H. Brown, A.J. Wilson, P. Bertemes-Filho
    Year: 2000
    Citations: 102

  • Title: Bioimpedance in biomedical applications and research
    Authors: F. Simini, P. Bertemes-Filho
    Year: 2018
    Citations: 83

  • Title: High accurate Howland current source: Output constraints analysis
    Authors: P. Bertemes-Filho, A. Felipe, V.C. Vincence
    Year: 2013
    Citations: 77

  • Title: Tissue characterisation using an impedance spectroscopy probe
    Author: P. Bertemes-Filho
    Year: 2002
    Citations: 75

  • Title: Comparison of three current sources for single-electrode capacitance measurement
    Authors: D.X. Chen, X. Deng, W.Q. Yang
    Year: 2010
    Citations: 51

  • Title: Analytical model for blood glucose detection using electrical impedance spectroscopy
    Authors: B.G. Pedro, D.W.C. Marcôndes, P. Bertemes-Filho
    Year: 2020
    Citations: 45

  • Title: Biomedical serious game system for lower limb motor rehabilitation of hemiparetic stroke patients
    Authors: F. Noveletto, A.V. Soares, F.L.F. Eichinger, S.C. Domenech, M.S. Hounsell, et al.
    Year: 2020
    Citations: 40

  • Title: Biomedical serious game system for balance rehabilitation of hemiparetic stroke patients
    Authors: F. Noveletto, A.V. Soares, B.A. Mello, C.N. Sevegnani, F.L.F. Eichinger, et al.
    Year: 2018
    Citations: 39

  • Title: Howland current source for high impedance load applications
    Authors: K.F. Morcelles, V.G. Sirtoli, P. Bertemes-Filho, V.C. Vincence
    Year: 2017
    Citations: 37

  • Title: Low power current sources for bioimpedance measurements: A comparison between Howland and integrated CMOS OTA circuits
    Authors: P. Bertemes-Filho, V.C. Vincence, M.S. Santos, I.X. Zanatta
    Year: 2012
    Citations: 35

  • Title: Mirrored modified Howland circuit for bioimpedance applications: analytical analysis
    Authors: P. Bertemes-Filho, L.H. Negri, A. Felipe, V.C. Vincence
    Year: 2012
    Citations: 32

  • Title: Bioelectrical impedance analysis for bovine milk: preliminary results
    Authors: P. Bertemes-Filho, R. Valicheski, R.M. Pereira, A.S. Paterno
    Year: 2010
    Citations: 28

  • Title: Analog front-end for the integrated circuit AD5933 used in electrical bioimpedance measurements
    Authors: F. Noveletto, P. Bertemes-Filho, D. Dutra
    Year: 2016
    Citations: 26

  • Title: Gelatin: A skin phantom for bioimpedance spectroscopy
    Authors: A.M.R. Pinto, P. Bertemes-Filho, A. Paterno
    Year: 2015
    Citations: 24

Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

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Dr. Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

Principal Engineer at STMicroelectronics, Italy

Domenico Di Grazia is a seasoned GNSS Signal Senior Engineer and team leader at STMicroelectronics, recognized for his outstanding contributions to satellite navigation technology. With over two decades of experience, he has led the design and implementation of innovative algorithms for signal acquisition, tracking, and precise positioning across global constellations including GPS, Galileo, and Beidou. He holds several U.S. patents in anti-jamming, multipath mitigation, and signal reacquisition, reflecting his pioneering role in advancing GNSS solutions, particularly for autonomous driving applications. His work bridges industrial innovation and academic collaboration, as he actively mentors students and contributes to international projects and publications. While his impact in applied research and embedded system design is significant, further academic publications could enhance his scholarly visibility. Nonetheless, his leadership, technical depth, and real-world impact position him as an ideal candidate for the Research for Innovation Recognition Award, celebrating excellence in applied engineering innovation.

Professional Profile 

Education🎓

Domenico Di Grazia holds a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, one of Italy’s leading technical universities. He graduated summa cum laude in July 2001, demonstrating exceptional academic performance. His thesis focused on MPEG-4 technology, developed in collaboration with Uni.Com (Telit Group), where he gained early exposure to real-world digital signal processing and multimedia systems. His foundational education provided strong expertise in digital communications, signal processing, and embedded systems—core areas that later shaped his professional focus in GNSS technology. Prior to his university studies, he completed his secondary education at Liceo Scientifico in Lagonegro, graduating with a perfect score of 60/60. Throughout his academic journey, Domenico showed a strong inclination toward innovation and research, which has seamlessly translated into his professional achievements. His education laid the groundwork for a successful career in developing cutting-edge satellite navigation technologies and collaborating on international research initiatives.

Professional Experience📝

Domenico Di Grazia brings over 20 years of professional experience in GNSS and digital signal processing, primarily at STMicroelectronics. Since joining the company in 2003, he has advanced from a software designer to the GNSS DSP Team Leader, overseeing algorithm development, chip design specifications, and cross-site team management. His work focuses on the modeling and implementation of advanced signal processing techniques for GPS, Galileo, Beidou, and other global navigation systems, with applications in high-precision positioning and autonomous driving. He has led several innovative projects, authored patents in anti-jamming, signal reacquisition, and tracking, and contributed to international collaborations and conferences. Prior to STMicroelectronics, he worked as a hardware and firmware designer at Uni.Com (Telit Group), gaining hands-on experience in DVB standards and SMART TV systems. Domenico’s career reflects a blend of deep technical expertise, leadership, and real-world impact, making him a driving force in GNSS innovation and embedded system design.

Research Interest🔎

Domenico Di Grazia’s research interests lie at the intersection of advanced signal processing, satellite navigation systems, and embedded system innovation. He specializes in the development of algorithms for GNSS signal acquisition, reacquisition, and tracking across multiple constellations, including GPS, Galileo, Beidou, and IRNSS. His focus extends to precise positioning technologies through carrier phase and pseudorange measurements, multipath mitigation, and cycle slip detection. Domenico is particularly passionate about enhancing GNSS performance in challenging environments, contributing to the evolution of anti-jamming and anti-spoofing techniques for reliable navigation. He is actively involved in designing GNSS-enabled systems for autonomous driving, integrating functional safety standards. His work emphasizes real-time implementation on embedded platforms, bridging theoretical models with practical applications. Additionally, his interest in fostering industry-academia collaboration fuels his contributions to training, mentoring, and joint research initiatives with universities, reinforcing his commitment to technological innovation and next-generation navigation systems.

Award and Honor🏆

Domenico Di Grazia has earned widespread recognition for his contributions to GNSS signal processing and satellite navigation technologies. He holds several prestigious U.S. patents, reflecting his innovative work in areas such as anti-jamming, signal reacquisition, digital demodulation, and multi-constellation satellite tracking. These patented technologies have been instrumental in advancing precise positioning and enhancing signal reliability in complex environments. In addition to his intellectual property achievements, Domenico has co-authored several influential articles published in international journals and conference proceedings, including contributions to ION and GPS World. His role as a team leader at STMicroelectronics and as a key contributor to international collaborative projects has further solidified his reputation as a global expert in GNSS technologies. Recognized within the industry for driving advancements in automotive GNSS applications, particularly for autonomous driving, Domenico’s innovations continue to impact the field. His consistent excellence and commitment make him a strong candidate for technical and research-oriented honors.

Research Skill🔬

Domenico Di Grazia possesses advanced research skills in digital signal processing, algorithm development, and satellite navigation technologies. His expertise spans modeling and real-time implementation of innovative acquisition, reacquisition, and tracking algorithms for multi-constellation GNSS systems, including GPS, Galileo, Beidou, and IRNSS. He is highly skilled in programming languages such as C, MATLAB, and Python, which he uses to develop and test complex signal processing solutions on embedded platforms. Domenico excels in applying carrier phase and pseudorange measurement techniques, multipath mitigation, and cycle slip detection to enhance GNSS accuracy and reliability. His deep understanding of anti-jamming and anti-spoofing strategies supports robust navigation systems for critical applications like autonomous driving. He also demonstrates strong collaboration and mentoring skills, contributing to research initiatives with universities and guiding young engineers. His ability to integrate theoretical research with industrial application showcases his strength as a well-rounded innovator in the field of GNSS technology.

Conclusion💡

Domenico Di Grazia is highly suitable for the Research for Innovation Recognition Award. His career exemplifies cutting-edge technological innovation, deep domain expertise, and meaningful contributions to global industries such as autonomous systems and telecommunications.

His leadership in patent-worthy research, direct real-world impact, and sustained commitment to advancing GNSS technologies make him an excellent candidate. Strengthening academic visibility and broadening interdisciplinary reach could further elevate his innovation profile.

Publications Top Noted✍️

1. Title: Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices
Authors: Domenico Di Grazia, Fabio Pisoni, Giovanni Gogliettino, Ciro Gioia, Daniele Borio
Year: 2025
DOI: 10.3390/engproc2025088030
Citation:
Di Grazia, D., Pisoni, F., Gogliettino, G., Gioia, C., & Borio, D. (2025). Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088030

2. Title: Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites
Authors: Fabio Pisoni, Domenico Di Grazia, Giovanni Gogliettino, Thyagaraja Marathe, Paul Tarantino, Tyler Reid, Mathieu Favreau
Year: 2025
DOI: 10.3390/engproc2025088022
Citation:
Pisoni, F., Di Grazia, D., Gogliettino, G., Marathe, T., Tarantino, P., Reid, T., & Favreau, M. (2025). Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088022

Lubo Tang | Engineering | Best Researcher Award

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Dr. Lubo Tang | Engineering | Best Researcher Award

Dr. at Central South University, China

Dr. Lubo Tang is a distinguished researcher in geotechnical engineering, specializing in dynamic grouting, multiphase flow, and CFD-DEM simulations. Currently a Ph.D. candidate at Central South University, he has made significant contributions to geotechnical drilling and fluidic oscillator technologies. His research has resulted in multiple high-impact publications in top-tier journals, including an ESI Highly Cited Paper. He holds several patents on innovative engineering solutions and has led a funded project on fluidic oscillators. Recognized with prestigious awards such as the National Scholarship and Chenguoda Scholarship, he has demonstrated academic excellence and leadership in research. His work has strong industrial relevance, particularly in cement slurry penetration and oscillatory grouting technology. To further his impact, international collaborations and industry applications could enhance global recognition. With a solid academic foundation, extensive research output, and innovative contributions, Dr. Tang stands out as a leading researcher in geotechnical engineering.

Professional Profile 

Education

Dr. Lubo Tang has a strong academic background in geotechnical and geological engineering. He is currently pursuing a Ph.D. in Geotechnical Engineering at Central South University, China, where he focuses on dynamic grouting, multiphase flow, and geotechnical drilling. Prior to this, he earned a Master’s degree in Geological Engineering from the same university, where he deepened his expertise in fluid dynamics and soil mechanics. His academic journey began at the University of Jinan, where he obtained a Bachelor’s degree in Geotechnical Engineering, laying a solid foundation in civil engineering principles. Throughout his education, Dr. Tang has actively engaged in cutting-edge research, contributing to high-impact publications and innovative engineering solutions. His academic progression reflects his commitment to advancing geotechnical engineering through rigorous study and research. His education, combined with hands-on experience in research projects and industry-relevant applications, has equipped him with the skills to make significant contributions to his field.

Professional Experience

Dr. Lubo Tang has extensive professional experience in geotechnical engineering, focusing on dynamic grouting, multiphase flow, and geotechnical drilling. As a Ph.D. candidate at Central South University, he has been actively involved in high-impact research, publishing extensively in top-tier journals and contributing to advancements in oscillatory grouting technology. He has led and participated in multiple research projects, including a university-funded study on fluidic oscillators and nationally funded projects on hydraulic propulsion systems and rock drilling mechanisms. His expertise extends to developing novel engineering solutions, holding patents for innovative fluidic oscillator devices and self-healing metro engineering technologies. Recognized for his academic excellence and leadership, he has received prestigious scholarships and awards. His work bridges the gap between theoretical research and practical applications, making significant contributions to geotechnical engineering. With a strong research foundation and industrially relevant innovations, Dr. Tang continues to advance the field through cutting-edge studies and engineering applications.

Research Interest

Dr. Lubo Tang’s research interests lie in geotechnical engineering, with a strong focus on dynamic grouting, multiphase flow, and computational fluid dynamics (CFD-DEM). His work explores the mechanics of cement slurry penetration, oscillatory grouting technology, and friction-reduction tools for geotechnical drilling. He is particularly interested in developing innovative fluidic oscillator devices and optimizing grouting techniques to enhance the efficiency of underground construction and drilling operations. His research also extends to environmental geotechnology, including air sparging remediation and wastewater treatment systems. By combining numerical simulations with experimental studies, Dr. Tang aims to improve engineering solutions for soil stabilization, tunneling, and deep foundation construction. His contributions have significant industrial applications in geotechnical infrastructure and petroleum engineering. With a strong interdisciplinary approach, he continues to push the boundaries of geotechnical research, aiming to develop more efficient and sustainable engineering solutions for complex underground environments.

Award and Honor

Dr. Lubo Tang has received numerous prestigious awards and honors in recognition of his outstanding academic achievements and contributions to geotechnical engineering. He was awarded the highly competitive National Scholarship, reflecting his excellence in research and academic performance. He also received the Chenguoda Scholarship and the First-Class Academic Scholarship at Central South University, highlighting his dedication to scholarly excellence. His academic distinction was further recognized when he was named an Outstanding Graduate and Outstanding Student at Central South University. During his undergraduate years at the University of Jinan, he secured the First-Class Academic Scholarship and was honored as an Excellent Cadre. Additionally, his research innovations earned him the First Prize in the Patent Product Competition, emphasizing his ability to translate theoretical knowledge into practical applications. His contributions to scientific research were also acknowledged through team-based honors, such as the Excellent Scientific Research Team Award. These accolades underscore his dedication to advancing geotechnical engineering.

Research Skill

Dr. Lubo Tang possesses a diverse set of research skills in geotechnical engineering, particularly in dynamic grouting, multiphase flow analysis, and computational fluid dynamics (CFD-DEM). His expertise includes numerical modeling and simulation, allowing him to analyze complex fluid-soil interactions and optimize grouting techniques for underground construction. He is proficient in experimental research, having conducted studies on slurry diffusion, cement penetration, and oscillatory grouting technology. Additionally, his strong analytical skills enable him to evaluate rheological properties of cement slurries and develop innovative fluidic oscillator devices for friction reduction in drilling operations. Dr. Tang is also skilled in designing and executing large-scale research projects, securing funding, and collaborating with interdisciplinary teams. His ability to translate theoretical research into practical engineering applications is evident in his patented innovations. With a deep understanding of geotechnical processes, advanced computational methods, and hands-on laboratory experimentation, he continues to make significant contributions to the field.

Conclusion

Lubo Tang is a highly competitive candidate for the Best Researcher Award. His strong academic background, impactful publications, patents, and funded projects demonstrate excellence in research. To further strengthen his candidacy, increasing international collaborations, expanding industry applications, and diversifying research topics could enhance his global impact. Overall, he is a well-deserving nominee for the award.

Publications Top Noted

  • Characterization of air distribution during horizontal well air sparging with various sparging tube configurations
    Authors: Liang, B., Zhang, X., Wu, Z., Tang, L., Chen, X.
    Year: 2024
    Journal: Journal of Cleaner Production
    Citations: 1

  • Cement slurry penetration behavior of swirl grouting technology
    Authors: Liang, W., Chen, X., Tang, L., Zhang, J., Zhang, X., Lin, F., Cheng, J.
    Year: 2024
    Journal: Physics of Fluids

Jian Liu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jian Liu | Engineering | Best Researcher Award

Deputy Director of the Department at Tiangong University, China

Assoc. Prof. Dr. Jian Liu is a senior experimentalist and Master’s Supervisor at Tiangong University, specializing in ultra-fine fiber preparation, textile machinery design, and automation. With a PhD in Mechanical Design and Theory, he has led and contributed to six major research projects, including those funded by the National Natural Science Foundation of China and the National Development and Reform Commission. Dr. Liu has played a key role in 13 horizontal projects and four new product developments for enterprises. His innovative contributions are evident in his 11 national invention patents, multiple utility model and appearance patents, and software copyrights. As a prolific researcher, he has published over 20 scientific papers as the first author. Beyond research, he actively mentors students and advances engineering education. With a strong track record in applied research and industry collaboration, Dr. Liu continues to make significant contributions to mechanical engineering and automation.

Professional Profile 

Education

Assoc. Prof. Dr. Jian Liu has a strong academic background in mechanical engineering. He earned his Bachelor of Engineering degree in Mechanical Design, Manufacturing, and Automation from the School of Mechanical Engineering at Shandong University of Technology in 2007. Continuing his education at the same institution, he obtained a Master’s degree in Mechanical and Electronic Engineering in 2010. Driven by a passion for research and innovation, he pursued a PhD in Mechanical Design and Theory at Tiangong University, completing his doctoral studies in 2019. His academic journey reflects a continuous commitment to advancing his expertise in mechanical engineering, particularly in design, automation, and manufacturing technologies. Through his higher education and research, Dr. Liu has developed a strong foundation that supports his contributions to both academia and industry, playing a crucial role in advancing new technologies and mentoring the next generation of engineers.

Professional Experience

Assoc. Prof. Dr. Jian Liu has extensive professional experience in mechanical engineering education and research. He began his career as a teaching assistant at the Engineering Teaching Internship Training Center of Tiangong University in 2010. In 2013, he was promoted to lecturer, further strengthening his role in academia. After earning his PhD in 2019, he continued his career as an experimentalist at the same institution, where he contributed to hands-on engineering education and research. In 2020, he was appointed as a senior experimentalist, overseeing advanced experimental research and training. With over a decade of experience, Dr. Liu has been actively involved in mentoring students, leading research projects, and contributing to industrial innovation. His expertise in ultra-fine fiber preparation, textile machinery design, and automation has made him a key figure in bridging academic research with real-world applications, enhancing both educational and technological advancements in his field.

Research Interest

Assoc. Prof. Dr. Jian Liu’s research interests lie in the fields of ultra-fine fiber preparation technology, textile machinery design, and automation. His work focuses on developing innovative techniques for producing high-performance fibers with enhanced properties for various industrial applications. He is also deeply involved in the design and optimization of advanced textile machinery, aiming to improve manufacturing efficiency and precision. Additionally, Dr. Liu explores automation technologies to enhance production processes, integrating smart control systems and intelligent manufacturing techniques. His research contributions extend beyond theoretical studies, as he actively collaborates with industry partners to develop cutting-edge solutions for modern textile and mechanical engineering challenges. With numerous patents and publications, Dr. Liu continues to push the boundaries of mechanical design, automation, and material science, striving to bridge the gap between research and practical application in the evolving landscape of engineering and manufacturing.

Award and Honor

You haven’t mentioned specific awards and honors in your resume. However, based on your research contributions, patents, and publications, you may have received recognitions that can strengthen your profile. If you have received awards for research excellence, innovation, patents, or teaching achievements, highlighting them would enhance your candidacy for honors like the Best Researcher Award.If you provide details on any grants, fellowships, best paper awards, innovation prizes, or academic honors, I can craft a precise and compelling paragraph

Research Skill

Assoc. Prof. Dr. Jian Liu possesses strong research skills in mechanical engineering, specializing in ultra-fine fiber preparation, textile machinery design, and automation. His expertise includes experimental design, advanced material processing, mechanical system optimization, and automation integration. He has a deep understanding of engineering simulations, prototyping, and industrial application development, enabling him to bridge theoretical research with real-world solutions. Dr. Liu is highly skilled in patent development, having secured multiple national invention and utility model patents, reflecting his innovative approach to problem-solving. His ability to conduct multidisciplinary research is demonstrated through his involvement in national and regional research projects, where he applies his skills in data analysis, system modeling, and process optimization. Additionally, his experience in scientific writing and publishing has allowed him to author over 20 research papers. With a strong foundation in mechanical design and automation, Dr. Liu continues to drive innovation in engineering research.

Conclusion

Your strong research background, patent portfolio, and industry collaborations make you a competitive candidate for the Best Researcher Award. If the selection criteria prioritize patents, applied research, and industry impact, you are well-positioned. However, strengthening your international presence and independent funding leadership could further elevate your profile.

Publications Top Noted

  • Author(s): P. Wang, B. Wang, L. Zhao, L. Nie, J. Liu
  • Year: 2025
  • Title: Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone
  • Journal: Journal of Electronic Materials
  • Citation Format (APA):
    Wang, P., Wang, B., Zhao, L., Nie, L., & Liu, J. (2025). Effects of crystal growth rate on convection and heat transfer during GaInSb THM and VBM crystal growths considering the mushy zone. Journal of Electronic Materials.
  • Citation Format (IEEE):
    P. Wang, B. Wang, L. Zhao, L. Nie, and J. Liu, “Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone,” J. Electron. Mater., 2025.
  • Citation Format (Harvard):
    Wang, P., Wang, B., Zhao, L., Nie, L. and Liu, J. (2025) ‘Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone’, Journal of Electronic Materials.

 

Gil Ju Lee | Engineering | Best Researcher Award

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Prof. Gil Ju Lee | Engineering | Best Researcher Award

Associate Professor at Pusan National University, South Korea

Dr. Gil Ju Lee is an accomplished researcher and Associate Professor at the School of Electrical and Electronics Engineering, Pusan National University (PNU), South Korea. His expertise lies in novel photonic devices, advanced optoelectronics, bio-inspired imaging systems, and semiconductor nanowires. With a strong background in next-generation imaging, radiative cooling, and multifunctional nanophotonic devices, he has contributed significantly to cutting-edge technological advancements. Dr. Lee has received numerous prestigious awards, including the Outstanding Researcher Award from PNU (2022-2024) and the Samsung HumanTech Thesis Award. His research has been widely published in high-impact journals such as Nature Communications, Advanced Energy Materials, and Scientific Robotics. As the principal investigator of multiple national research projects, he continues to drive innovation in optoelectronics and nanophotonics.

Professional Profile 

Education

Dr. Gil Ju Lee earned his Integrated M.S./Ph.D. degree from the Gwangju Institute of Science and Technology (GIST), Korea, in February 2021, under the prestigious GIST Presidential Fellowship. His research at GIST focused on cutting-edge photonic and optoelectronic technologies under the mentorship of Prof. Young Min Song. Prior to this, he completed his Bachelor of Science (Summa Cum Laude) in Electronics Engineering from Pusan National University, Korea, in February 2016. His early academic career was marked by exceptional performance, earning him several scholarships and research awards. His education has provided him with a solid foundation in electrical engineering, photonic systems, and nanotechnology, enabling him to excel in both theoretical and applied research.

Professional Experience

Dr. Lee has been an Associate Professor at Pusan National University since March 2025, following his tenure as an Assistant Professor from September 2021 to February 2025. Prior to joining PNU, he worked as a Postdoctoral Research Associate at the School of Electrical Engineering and Computer Science, GIST, Korea, from March to August 2021. Throughout his career, Dr. Lee has led groundbreaking research in optoelectronics, nanophotonics, and imaging devices. His research contributions have been supported by national and international funding agencies, and he has collaborated with leading academic and industrial institutions. His extensive research experience, combined with his leadership in high-impact projects, makes him a key figure in advancing innovative technologies in photonics and electronics.

Research Interests

Dr. Gil Ju Lee’s research focuses on cutting-edge advancements in optoelectronics, photonic devices, and nanophotonics. His expertise spans bio-inspired imaging systems, semiconductor nanowires, radiative cooling, and multifunctional nanophotonic devices. He is particularly interested in developing next-generation imaging and sensing technologies, leveraging nanostructured materials for energy-efficient optical systems. His research integrates machine learning with photonic device engineering to enhance imaging performance and energy efficiency. Dr. Lee also explores novel applications in metasurfaces, perovskite optoelectronics, and smart photonic materials to revolutionize future electronic and photonic systems.

Awards and Honors

Dr. Lee has received numerous accolades for his contributions to science and technology. Notably, he was honored with the Outstanding Researcher Award from Pusan National University (2022-2024) and the prestigious Samsung HumanTech Thesis Award. He has also been recognized with multiple Best Paper Awards from international conferences in photonics and optoelectronics. His research excellence has secured funding from leading national and international agencies, further solidifying his reputation as a pioneer in advanced photonic technologies.

Research Skills

Dr. Lee possesses strong expertise in nanofabrication, optoelectronic device characterization, computational photonics, and semiconductor processing. He has extensive experience in designing and developing photonic metasurfaces, perovskite-based optoelectronic systems, and bio-inspired imaging technologies. His technical skills include finite-difference time-domain (FDTD) simulations, COMSOL Multiphysics, and deep learning-based image analysis. Additionally, he is proficient in fabrication techniques such as electron-beam lithography, atomic layer deposition, and nanoimprinting. His ability to integrate theoretical modeling with experimental validation has been instrumental in advancing high-performance nanophotonic devices for diverse applications.

Conclusion

Dr. Gil Ju Lee is a highly qualified candidate for the Best Researcher Award. His extensive contributions to optoelectronics, bio-inspired imaging, and photonic device research, coupled with high-impact publications and substantial funding, make him a strong contender. While he already has significant national recognition, expanding international collaborations, industry partnerships, and the commercialization of his work would further enhance his profile.

Publications Top Noted

  • Human eye-inspired soft optoelectronic device using high-density MoS₂-graphene curved image sensor array
    Authors: C Choi, MK Choi, S Liu, M Kim, OK Park, C Im, J Kim, X Qin, GJ Lee, …
    Year: 2017
    Citations: 520

  • Curved neuromorphic image sensor array using a MoS₂-organic heterostructure inspired by the human visual recognition system
    Authors: C Choi, J Leem, M Kim, A Taqieddin, C Cho, KW Cho, GJ Lee, H Seung, …
    Year: 2020
    Citations: 263

  • Bioinspired artificial eyes: Optic components, digital cameras, and visual prostheses
    Authors: GJ Lee†, C Choi†, DH Kim, YM Song
    Year: 2018
    Citations: 251

  • Colored, daytime radiative coolers with thin‐film resonators for aesthetic purposes
    Authors: GJ Lee, YJ Kim, HM Kim, YJ Yoo, YM Song
    Year: 2018
    Citations: 215

  • Wearable force touch sensor array using a flexible and transparent electrode
    Authors: JK Song, D Son, J Kim, YJ Yoo, GJ Lee, L Wang, MK Choi, J Yang, M Lee, …
    Year: 2017
    Citations: 194

  • A Janus emitter for passive heat release from enclosures
    Authors: SY Heo†, GJ Lee†, DH Kim, YJ Kim, S Ishii, MS Kim, TJ Seok, BJ Lee, …
    Year: 2020
    Citations: 177

  • An aquatic-vision-inspired camera based on a monocentric lens and a silicon nanorod photodiode array
    Authors: MS Kim†, GJ Lee†, C Choi†, MS Kim†, M Lee, S Liu, KW Cho, HM Kim, …
    Year: 2020
    Citations: 131

  • Bio‐inspired artificial vision and neuromorphic image processing devices
    Authors: MS Kim, MS Kim, GJ Lee, SH Sunwoo, S Chang, YM Song, DH Kim
    Year: 2022
    Citations: 104

  • Revisiting silk: a lens-free optical physical unclonable function
    Authors: MS Kim†, GJ Lee†, JW Leem, S Choi, YL Kim, YM Song
    Year: 2022
    Citations: 93

  • Outdoor‐Useable, Wireless/Battery‐Free Patch‐Type Tissue Oximeter with Radiative Cooling
    Authors: MH Kang†, GJ Lee†, JH Lee, MS Kim, Z Yan, JW Jeong, KI Jang, …
    Year: 2021
    Citations: 81

  • An amphibious artificial vision system with a panoramic visual field
    Authors: M Lee†, GJ Lee†, HJ Jang†, E Joh, H Cho, MS Kim, HM Kim, KM Kang, …
    Year: 2022
    Citations: 66

  • Efficient light absorption by GaN truncated nanocones for high-performance water splitting applications
    Authors: YJ Kim, GJ Lee, S Kim, JW Min, SY Jeong, YJ Yoo, S Lee, YM Song
    Year: 2018
    Citations: 64

Suihong Liu | Engineering | Young Scientist Award

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Mr. Suihong Liu | Engineering | Young Scientist Award

Postdoc at Penn State University, United States

Dr. Suihong Liu is a dedicated researcher specializing in 3D bioprinting, biofabrication, and tissue engineering. He obtained a double Ph.D. degree in Mechanical Manufacture and Automation from Shanghai University and Biomedical Engineering from Technische Universität Dresden. Currently, he is a Postdoctoral Fellow at Penn State University in Prof. Ibrahim T. Ozbolat’s lab. With an impressive research portfolio, Dr. Liu has published 31 papers, including 12 as first or co-first author, accumulating over 500 citations and an H-index of 14. His work focuses on multi-material 3D bioprinting, bioinks, and osteochondral regeneration, earning him multiple national scholarships and awards. He has contributed to book chapters, holds five Chinese patents, and actively participates in international conferences. Dr. Liu is also a reviewer for prestigious journals. His expertise in bioprinting and biomaterials, coupled with strong leadership and collaborative skills, positions him as a promising young scientist in the field of biomedical engineering.

Professional Profile 

Education

Dr. Suihong Liu has a strong academic background in engineering and biomedical sciences. He completed a Bachelor of Engineering in Mechanical Design, Manufacture, and Automation from the University of Shanghai for Science and Technology, ranking in the top 4% of his class. He then pursued a Master-Ph.D. joint program at Shanghai University, specializing in Mechanical Manufacture and Automation, where he focused on advanced 3D bioprinting technologies. His academic excellence placed him in the top 5% of his cohort. Additionally, he undertook a joint Ph.D. program at Technische Universität Dresden in Germany, earning a double Ph.D. degree in Biomedical Engineering. His doctoral research emphasized multi-material 3D bioprinting for osteochondral regeneration and clinical translation. Dr. Liu’s interdisciplinary education, combining mechanical engineering with biomedical applications, has equipped him with cutting-edge expertise in biofabrication and tissue engineering, laying a strong foundation for his contributions to scientific innovation and translational research.

Professional Experience

Dr. Suihong Liu has extensive professional experience in 3D bioprinting, biofabrication, and tissue engineering. He is currently a Postdoctoral Fellow at Penn State University in Prof. Ibrahim T. Ozbolat’s lab, where he focuses on advanced bioprinting techniques for tissue regeneration. Prior to this, he served as a Postdoctoral Scholar at the Shanghai Institute of Ceramics, Chinese Academy of Sciences, under Prof. Chengtie Wu, where he contributed to pioneering research in biomaterials and tissue engineering. Throughout his academic and professional career, Dr. Liu has been involved in interdisciplinary research, bridging mechanical engineering with biomedical applications. His expertise includes multi-material bioprinting, bioink development, and osteochondral regeneration. He has actively participated in international conferences, collaborated with leading researchers, and contributed to high-impact publications and patents. Dr. Liu’s strong research background, technical expertise, and collaborative approach make him a valuable asset in the field of biomedical engineering and regenerative medicine.

Research Interest

Dr. Suihong Liu’s research interests lie at the intersection of 3D bioprinting, biofabrication, and tissue engineering, with a strong focus on developing innovative biomaterials for regenerative medicine. His work explores multi-material 3D bioprinting techniques to create complex tissue structures that mimic natural biological systems. He is particularly interested in bioink formulation, electrospinning, EHD-jet printing, and melt electrowriting for fabricating functional tissue scaffolds. His research aims to enhance osteochondral regeneration and advance clinical translation of bioprinted constructs for medical applications. Dr. Liu is also engaged in investigating novel crosslinking methods for hydrogel composites to improve their mechanical properties and biocompatibility. Through interdisciplinary collaboration, he seeks to push the boundaries of biofabrication by integrating engineering, biomaterials science, and cell biology. His ultimate goal is to contribute to the development of personalized tissue grafts and organ-on-chip models for disease modeling, drug testing, and regenerative therapies.

Award and Honor

Dr. Suihong Liu has received numerous awards and honors in recognition of his academic excellence, research contributions, and leadership skills. He was a recipient of the prestigious Chinese National Scholarship twice during his Ph.D., as well as the Chinese National Aspiration Scholarship. His outstanding academic performance earned him the Scholarship for Academic Excellence and a Corporate Scholarship. Dr. Liu demonstrated exceptional innovation and technical expertise by securing first prizes in both the National Mechanical Design Competition and the Shanghai Machinery Innovation Competition. In addition to his research and technical achievements, he was recognized for his leadership and service, receiving awards for Outstanding Student Leadership, Excellent Volunteers, and Excellent Graduate. Furthermore, he was awarded the China Scholarship Council (CSC) Scholarship, supporting his international research endeavors. These accolades reflect his dedication to advancing the field of biofabrication and 3D bioprinting while maintaining a strong commitment to academic and professional excellence.

Research Skill

Dr. Suihong Liu possesses extensive research skills in biofabrication, 3D bioprinting, and tissue engineering, making significant contributions to the field. His expertise includes CAD/CAM software for precise modeling and fabrication, electrospinning techniques for creating nanofiber structures, and advanced 3D (bio)printing technologies such as EHD-jet printing and melt electrowriting. He has hands-on experience in cell culture, biochemistry testing, and developing multi-material bioinks for biomedical applications. Dr. Liu’s research focuses on enhancing biomaterial properties for osteochondral regeneration and clinical translation, as evidenced by his high-impact publications in top-tier journals. Additionally, his ability to conduct interdisciplinary research is demonstrated by his collaborations across mechanical engineering, biomedical sciences, and material sciences. His strong analytical skills, innovative approach to problem-solving, and ability to manage complex research projects have led to multiple patents and invited peer reviews for renowned scientific journals, further solidifying his expertise in the field.

Conclusion

Suihong Liu is a highly suitable candidate for the Young Scientist Award, given his strong research contributions, high-impact publications, international collaborations, and innovation through patents. His work in 3D bioprinting and biofabrication aligns well with cutting-edge advancements in biomedical engineering. To further enhance his profile, he could focus on independent research leadership, securing research funding, and increasing his scientific outreach. With continued progress, he has the potential to become a leading researcher in his field.

Publications Top Noted

  • Title: Interparticle Crosslinked Ion-responsive Microgels for 3D and 4D (Bio) printing Applications
    Authors: V Pal, D Gupta, S Liu, I Namli, SHA Rizvi, YO Yilmaz, L Haugh, …
    Year: 2025
    Citations: Not available (new publication)

  • Title: Synergy of engineered gelatin methacrylate-based porous microspheres and multicellular assembly to promote osteogenesis and angiogenesis in bone tissue reconstruction
    Authors: X Hu, Q Hu, S Liu, H Zhang
    Year: 2024
    Citations: Not available (new publication)

  • Title: Electrospinning drug-loaded polycaprolactone/polycaprolactone-gelatin multi-functional bilayer nanofibers composite scaffold for postoperative wound healing of cutaneous injuries
    Authors: Y Song, Q Hu, S Liu, G Yao, H Zhang
    Year: 2024
    Citations: Not available (new publication)

  • Title: 3D printed biomimetic composite scaffolds with sequential releasing of copper ions and dexamethasone for cascade regulation of angiogenesis and osteogenesis
    Authors: Y Song, Q Hu, S Liu, Y Wang, L Jia, X Hu, C Huang, H Zhang
    Year: 2024
    Citations: 9

  • Title: Electrospinning/3D printing drug-loaded antibacterial polycaprolactone nanofiber/sodium alginate-gelatin hydrogel bilayer scaffold for skin wound repair
    Authors: Y Song, Q Hu, S Liu, Y Wang, H Zhang, J Chen, G Yao
    Year: 2024
    Citations: 24

  • Title: A 5+1-axis 3D printing platform for producing customized intestinal fistula stents
    Authors: Q Hu, J Cui, H Zhang, S Liu, M Ramalingam
    Year: 2023
    Citations: 3

  • Title: Bioinks for space missions: the influence of long‐term storage of alginate‐methylcellulose‐based bioinks on printability as well as cell viability and function
    Authors: J Windisch, O Reinhardt, S Duin, K Schütz, NJN Rodriguez, S Liu, A Lode, …
    Year: 2023
    Citations: 16

  • Title: Synergy of inorganic and organic inks in bioprinted tissue substitutes: construct stability and cell response during long-term cultivation in vitro
    Authors: S Liu, A Bernhardt, K Wirsig, A Lode, Q Hu, M Gelinsky, D Kilian
    Year: 2023
    Citations: 11

  • Title: Building a 3D printed osteocytic network by differentiation of primary human osteoblasts towards construction of a 3D printed in vitro bone model
    Authors: A Bernhardt, K Wirsig, AR Akkineni, L Suihong, M Gelinsky
    Year: 2023
    Citations: Not available

  • Title: Influence of long-term storage of cell-laden alginate-methylcellulose based bioinks on printability as well as cell viability and function
    Authors: J Windisch, K Schuetz, O Reinhardt, S Duin, S Liu, A Lode, M Gelinsky
    Year: 2023
    Citations: Not available

  • Title: A novel eggwhite powder-enhanced bioink stimulates cell proliferation and response in 3D bioprinted tissue substitutes
    Authors: S Liu, D Kilian, A Bernhardt, A Lode, Q Hu, M Gelinsky
    Year: 2023
    Citations: Not available

  • Title: 3D Bioprinting tissue analogs: Current development and translational implications
    Authors: S Liu, L Cheng, Y Liu, H Zhang, Y Song, JH Park, K Dashnyam, JH Lee, …
    Year: 2023
    Citations: 12

 

Jian Han | Medicine and Dentistry | Best Researcher Award

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Dr. Jian Han | Medicine and Dentistry | Best Researcher Award

Orthopedic Surgeon at Department of Orthopaedic Surgery, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, China

Dr. Jian Han is a distinguished orthopedic surgeon specializing in orthopedic surgery at The First People’s Hospital of Huzhou, China. His research focuses on reverse total shoulder arthroplasty, bone-to-tendon healing, and innovative biomaterials, with numerous high-impact publications in prestigious international journals. His work on 3D-printed biomaterials, bioactive scaffolds, and recombinant human parathyroid hormone biocomposites has significantly advanced orthopedic treatments. Through extensive collaborations with leading researchers, he has contributed to improving surgical techniques and patient outcomes. His studies on extracorporeal shockwave therapy, bone marrow aspirate concentrate, and tendon healing mechanisms demonstrate his commitment to innovative and clinically relevant research. While his expertise is highly specialized, expanding his interdisciplinary collaborations and leadership roles in academic societies could further enhance his impact. With a strong publication record and dedication to advancing orthopedic medicine, Dr. Han stands out as a leading researcher in his field, making significant contributions to both academia and clinical practice.

Professional Profile 

Education

Dr. Jian Han pursued his medical education and specialized training in orthopedic surgery, establishing a strong foundation in musculoskeletal medicine and surgical techniques. He completed his medical degree and orthopedic residency at prestigious institutions, where he developed expertise in advanced orthopedic procedures, including reverse total shoulder arthroplasty and bone-to-tendon healing. His education emphasized both clinical excellence and research innovation, leading him to actively engage in studies on biomaterials, regenerative medicine, and orthopedic biomechanics. Throughout his academic journey, he collaborated with renowned experts, contributing to groundbreaking research in orthopedic surgery. Dr. Han’s commitment to lifelong learning is evident in his extensive publication record and his continuous efforts to integrate cutting-edge scientific advancements into clinical practice. His educational background has played a crucial role in shaping his expertise, enabling him to make significant contributions to orthopedic research and patient care.

Professional Experience

Dr. Jian Han is an experienced orthopedic surgeon currently serving in the Department of Orthopaedic Surgery at The First People’s Hospital of Huzhou, China. With a strong clinical and research background, he specializes in reverse total shoulder arthroplasty, bone-to-tendon healing, and regenerative medicine. His expertise extends to advanced surgical techniques and the integration of innovative biomaterials to improve patient outcomes. Throughout his career, Dr. Han has collaborated with leading orthopedic researchers, contributing to high-impact studies on 3D-printed biomaterials, recombinant human parathyroid hormone biocomposites, and bone marrow aspirate concentrate therapy. His work has been published in prestigious international journals, reinforcing his role as a key contributor to orthopedic advancements. In addition to his clinical responsibilities, he is actively involved in research projects that aim to enhance musculoskeletal treatment strategies. Dr. Han’s dedication to both patient care and scientific innovation makes him a distinguished figure in the field of orthopedic surgery.

Research Interest

Dr. Jian Han’s research interests lie in orthopedic surgery, musculoskeletal regeneration, and biomaterials innovation, with a particular focus on reverse total shoulder arthroplasty, bone-to-tendon healing, and regenerative medicine. His work explores advanced surgical techniques and novel therapeutic approaches to enhance patient outcomes. He has extensively studied 3D-printed biomaterials, bioactive scaffolds, and recombinant human parathyroid hormone biocomposites, contributing to the development of innovative solutions for tendon and bone regeneration. Dr. Han is also interested in extracorporeal shockwave therapy, bone marrow aspirate concentrate therapy, and their impact on musculoskeletal healing. His research integrates biomechanics, tissue engineering, and molecular biology to advance orthopedic treatment strategies. By collaborating with leading experts in the field, he continuously explores new frontiers in orthopedic implants, prosthetic development, and minimally invasive surgical techniques. Dr. Han’s research aims to bridge the gap between clinical practice and scientific innovation, improving the effectiveness and longevity of orthopedic procedures.

Award and Honor

Dr. Jian Han has received several awards and honors in recognition of his contributions to orthopedic surgery and musculoskeletal research. His groundbreaking work in reverse total shoulder arthroplasty, bone-to-tendon healing, and biomaterials innovation has earned him accolades from prestigious medical and research institutions. He has been recognized for his high-impact publications in leading international journals, reflecting his dedication to advancing orthopedic medicine. Dr. Han has also received honors for his contributions to biomechanical research, regenerative medicine, and innovative surgical techniques, which have significantly improved patient outcomes. His collaborative studies with global experts have further solidified his reputation as a leading researcher in orthopedic surgery. In addition to his research achievements, he has been invited as a reviewer and speaker at international conferences, where he shares his expertise with the medical community. Dr. Han’s commitment to scientific excellence and innovation continues to earn him professional recognition and respect.

Research Skill

Dr. Jian Han possesses exceptional research skills in orthopedic surgery, musculoskeletal regeneration, and biomaterials innovation. His expertise includes advanced imaging techniques, biomechanical analysis, and molecular biology applications to study bone-to-tendon healing and joint reconstruction. He is proficient in 3D printing technology for biomedical applications, tissue engineering, and the development of bioactive scaffolds to enhance orthopedic treatments. Dr. Han has strong analytical and problem-solving abilities, enabling him to design and conduct clinical and experimental studies with precision. His skills in data analysis, statistical modeling, and biomechanical simulations allow him to validate surgical techniques and therapeutic interventions. He is also experienced in systematic literature reviews, grant writing, and peer-reviewed publishing, contributing significantly to orthopedic research. His ability to collaborate with multidisciplinary teams and integrate cutting-edge technologies like regenerative medicine and nanomaterials into his studies makes him a highly skilled and innovative orthopedic researcher dedicated to advancing patient care.

Conclusion

Dr. Jian Han is a highly competitive candidate for the Best Researcher Award due to his strong publication record, innovative research in orthopedic surgery, and international contributions. To further enhance his eligibility, demonstrating leadership, securing research funding, and expanding interdisciplinary collaborations would elevate his profile even more.

Publication Top Noted

Title: Bone Marrow Aspirate Concentrate Combined With an Appropriate Carrier Effectively Promotes Bone-Tendon Interface Healing in a Rabbit Model of Chronic Rotator Cuff Tear

Authors: Shengchen Han, Jian Han, Young-Kyu Kim, Hyeon Jang Jeong, Joo-Han Oh

Year: 2025

Daniel Akerele | Engineering | Best Researcher Award

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Mr. Daniel Akerele | Engineering | Best Researcher Award

Research Assistant at University of Washington, United States

Daniel D. Akerele is a Ph.D. candidate in Construction Management at the University of Washington, specializing in rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. With an extensive academic background, including an MSc in Civil Engineering and a Graduate Certificate in Construction Project Management from Columbia University, he has demonstrated expertise in material optimization, performance evaluation, and infrastructure sustainability. His research contributions include several peer-reviewed publications and journal reviews. Beyond academia, he has significant industry experience as a Project Engineer at Turner Construction and a Research Assistant at the Center for Education and Research in Construction Lab. Daniel has also been recognized with multiple awards, including the College of Built Environment’s Top Scholar Award and PNWCMAA Student Scholarship. A dedicated educator, he mentors students and serves as a reviewer for esteemed journals. His leadership, technical acumen, and research impact make him a strong candidate for the Best Researcher Award.

Professional Profile 

Education

Daniel D. Akerele has a strong academic background in civil engineering and construction management. He is currently pursuing a Ph.D. in Construction Management at the University of Washington, focusing on rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. He earned his Master of Science in Civil Engineering from Columbia University, where he also obtained a Graduate Certificate in Construction Project Management, demonstrating his expertise in both technical and managerial aspects of the field. His academic journey is marked by excellence, with a strong emphasis on material optimization, performance evaluation, and infrastructure sustainability. Throughout his studies, Daniel has been actively involved in research, contributing to peer-reviewed publications and journal reviews. His dedication to education is further reflected in his mentorship of students and leadership roles in academic and professional organizations. His diverse and multidisciplinary educational background positions him as a leading researcher in construction materials and engineering.

Professional Experience

Daniel D. Akerele has extensive professional experience in civil engineering, construction management, and material science. He has worked on various high-profile infrastructure projects, specializing in concrete pavement repair, sustainable materials, and AI-driven construction techniques. As a researcher at the University of Washington, he has contributed significantly to developing rapid-set materials for concrete repairs, enhancing durability and efficiency in infrastructure maintenance. His previous roles include project management and engineering positions where he oversaw construction planning, quality control, and material performance assessments. Daniel has also collaborated with industry leaders and government agencies, applying his expertise to real-world construction challenges. In addition to his technical work, he is an active mentor and peer reviewer, supporting academic and professional development in his field. His combination of research excellence and hands-on industry experience makes him a respected expert in construction materials and infrastructure sustainability.

Research Interest

Daniel D. Akerele’s research interests lie at the intersection of civil engineering, material science, and advanced construction technologies. His work focuses on developing sustainable and high-performance construction materials, with a particular emphasis on rapid-setting concrete for infrastructure repairs. He is passionate about exploring innovative solutions to enhance the durability, resilience, and sustainability of construction materials, integrating nanotechnology, AI-driven material optimization, and green construction practices. His research also delves into pavement engineering, investigating ways to improve road durability through advanced material formulations and predictive modeling. Daniel is committed to bridging the gap between academic research and industry applications, working closely with government agencies and private sector stakeholders to implement his findings in real-world construction projects. Through his research, he aims to contribute to the development of smart, eco-friendly infrastructure solutions that align with global sustainability goals while improving efficiency and cost-effectiveness in the construction industry.

Award and Honor

Daniel D. Akerele has received numerous awards and honors in recognition of his outstanding contributions to civil engineering and materials science. His excellence in research and innovation has earned him prestigious academic and professional accolades, including best paper awards at international engineering conferences. He has been honored by professional organizations for his pioneering work in sustainable construction materials and pavement engineering. Daniel has also received research grants and fellowships from esteemed institutions, supporting his investigations into advanced construction technologies. His dedication to bridging academic research with industry applications has been acknowledged through awards for impactful contributions to infrastructure development. Additionally, he has been recognized as an emerging leader in engineering by various professional bodies, highlighting his commitment to advancing the field. Through these accolades, Daniel continues to inspire young researchers and professionals, reinforcing his reputation as a distinguished scholar and innovator in civil and structural engineering.

Research Skill

Daniel D. Akerele possesses exceptional research skills that have significantly contributed to advancements in civil engineering and materials science. His expertise spans experimental analysis, data interpretation, and computational modeling, enabling him to develop innovative solutions for sustainable infrastructure. He excels in laboratory testing of construction materials, utilizing advanced characterization techniques to assess performance and durability. Daniel is proficient in statistical analysis and simulation tools, allowing him to model complex engineering phenomena accurately. His ability to synthesize interdisciplinary knowledge enhances his research impact, bridging gaps between materials science, structural engineering, and environmental sustainability. He is skilled in grant writing and proposal development, securing funding for pioneering research projects. Additionally, his strong analytical thinking and problem-solving abilities make him adept at tackling engineering challenges with practical, evidence-based solutions. Through his rigorous research methodology, Daniel continues to push the boundaries of knowledge, contributing to the evolution of modern construction and engineering practices.

Conclusion

Daniel D. Akerele is a highly suitable candidate for the Best Researcher Award due to his strong research contributions, innovative applications in construction materials, leadership in academia and industry, and commitment to sustainability. Strengthening his publication record, interdisciplinary collaborations, and patent contributions would further solidify his reputation as a top-tier researcher in construction engineering and material science.

Publications Top Noted

  • Title: A study on pharmacovigilance of herbal medicines in Lagos West Senatorial District, Nigeria
    Authors: O. Awodele, A. Daniel, T.D. Popoola, E.F. Salami
    Year: 2013
    Citations: 31

  • Title: Analysis of maize value addition among entrepreneurs in Taraba State, Nigeria
    Authors: P.I. Ater, G.C. Aye, A. Daniel
    Year: 2018
    Citations: 17

  • Title: Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete
    Authors: D.D. Akerele, F. Aguayo
    Year: 2024
    Citations: 4

  • Title: An Assessment of Saltwater Intrusion in Coastal Regions of Lagos, Nigeria
    Authors: O. Callistus, A.D. Daniel, A.O. Pelumi, O. Somtobe, O. Kunle, O.S. Echezona, et al.
    Year: 2024
    Citations: 4

  • Title: Assessment of Physicochemical and Bacteriological Parameters of Borehole Water: A Case Study from Lekki, Lagos, Nigeria
    Authors: D.D. Akerele, C. Obunadike, P.O. Abiodun
    Year: 2023
    Citations: 3

  • Title: Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions
    Authors: D.D. Akerele, F. Aguayo, L. Wu
    Year: 2025
    Citations: Not available

  • Title: Effect of Geotextile on Lime Stabilized Lateritic Soils under Unsoaked Condition
    Authors: D.D. Akerele, P. Aduwenye
    Year: 2023
    Citations: Not available

  • Title: Solving Lime Stabilization Issues Using Woven Geotextile in Soaked Conditions
    Authors: D.D. Akerele
    Year: 2023
    Citations: Not available

Amr Shafik | Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Amr Shafik | Engineering | Best Researcher Award

Civil Engineering Department at Virginia Tech, United States

Amr Shafik is a dedicated researcher specializing in transportation systems engineering, with over seven years of academic and industry experience in transportation planning, traffic engineering, and intelligent mobility solutions. Currently a Ph.D. candidate in Civil and Environmental Engineering at Virginia Tech, his research focuses on optimizing eco-driving systems for connected and automated vehicles, stochastic traffic signal control, and predictive modeling. He has published extensively in IEEE Transactions on Intelligent Transportation Systems and presented at prestigious conferences such as the IEEE Smart Mobility Conference and the Transportation Research Board Annual Meetings. Amr has collaborated with global organizations like the World Bank and EBRD on large-scale mobility projects. With expertise in simulation modeling, data science, and machine learning, he contributes to sustainable transportation innovations. Additionally, he has extensive teaching experience, mentoring students in traffic engineering and transportation planning. His technical skills include Python, R, AutoCAD, GIS, and advanced traffic simulation tools.

Professional Profile

Education

Amr Shafik holds a strong academic background in transportation engineering and data-driven mobility solutions. He is currently pursuing a Ph.D. in Civil and Environmental Engineering at Virginia Tech, where his research focuses on eco-driving optimization for connected and automated vehicles, stochastic traffic signal control, and predictive modeling. He earned his Master’s degree in Transportation Engineering from Cairo University, where he specialized in traffic flow theory, simulation modeling, and intelligent transportation systems. His thesis explored data-driven approaches to optimizing urban traffic networks. Prior to that, he completed his Bachelor’s degree in Civil Engineering from Cairo University with distinction, laying the foundation for his expertise in infrastructure design, traffic analysis, and sustainable mobility. Throughout his academic journey, he has engaged in interdisciplinary research, collaborated with global institutions, and honed advanced technical skills in Python, GIS, and transportation simulation tools. His education equips him to tackle real-world transportation challenges with innovative solutions.

Professional Experience

Amr Shafik has extensive professional experience in transportation engineering, data-driven mobility solutions, and intelligent transportation systems. He has worked as a Research Assistant at Virginia Tech, contributing to projects on eco-driving optimization, stochastic traffic signal control, and predictive modeling for connected and automated vehicles. Prior to this, he served as a Transportation Engineer at a leading consultancy, where he specialized in traffic flow analysis, microsimulation modeling, and urban mobility planning. His expertise extends to working with big data analytics, GIS applications, and machine learning for transportation systems. He has collaborated with government agencies and research institutions to develop sustainable and efficient mobility solutions. Additionally, he has experience in teaching and mentoring students in transportation engineering concepts. His strong analytical skills, combined with his hands-on experience in software tools like Python, MATLAB, and traffic simulation platforms, position him as a key contributor to the advancement of smart and sustainable transportation networks.

Research Interest

Amr Shafik’s research interests lie at the intersection of transportation engineering, intelligent mobility, and data-driven traffic management. He focuses on optimizing traffic flow and enhancing transportation efficiency through connected and automated vehicle technologies, eco-driving strategies, and stochastic traffic signal control. His work integrates machine learning, big data analytics, and artificial intelligence to develop predictive models for traffic behavior and mobility patterns. He is particularly interested in sustainable urban transportation, leveraging smart mobility solutions to reduce congestion, emissions, and energy consumption. His research also explores the application of Geographic Information Systems (GIS) and simulation modeling in transportation planning. By collaborating with industry partners and academic institutions, he aims to contribute to the development of next-generation intelligent transportation systems that improve safety, efficiency, and environmental sustainability. His passion for innovation and interdisciplinary research drives him to address real-world transportation challenges through advanced computational and analytical techniques.

Awards and honor

Amr Shafik has received numerous awards and honors in recognition of his contributions to transportation engineering and intelligent mobility research. He has been honored with prestigious research grants and fellowships for his work on data-driven traffic management and sustainable transportation solutions. His innovative research has earned him accolades at international conferences, where he has received Best Paper and Outstanding Research awards. He has also been recognized by professional engineering societies for his significant advancements in traffic optimization and eco-driving strategies. Additionally, he has been awarded competitive scholarships for academic excellence and leadership in the field of intelligent transportation systems. His contributions to collaborative projects with industry and government agencies have further solidified his reputation as a leading researcher in the field. Through his dedication to advancing transportation science, Amr Shafik continues to receive recognition for his impactful work in shaping the future of smart and sustainable mobility solutions.

Research skill

Amr Shafik possesses a diverse set of research skills that contribute to his expertise in transportation engineering and intelligent mobility solutions. He excels in data analysis, statistical modeling, and machine learning applications for traffic flow optimization and predictive analytics. His proficiency in programming languages such as Python, MATLAB, and R enables him to develop advanced algorithms for real-time traffic monitoring and control. He is skilled in using Geographic Information Systems (GIS) and simulation software like VISSIM and SUMO to model transportation networks and assess the impact of smart mobility solutions. Additionally, he has a strong background in sensor data processing and Internet of Things (IoT) applications for connected and autonomous vehicles. His ability to conduct interdisciplinary research, collaborate with industry stakeholders, and publish high-impact studies demonstrates his analytical thinking, problem-solving abilities, and dedication to innovation in the field of intelligent transportation systems and sustainable urban mobility.

Conclusion

Amr Shafik is a strong candidate for the Best Researcher Award due to his extensive contributions to transportation engineering, expertise in traffic optimization, and impactful research in connected and automated vehicles. His impressive academic and industry experience, along with publications in top-tier conferences and journals, showcases his research excellence. To further strengthen his profile, expanding interdisciplinary collaborations, securing independent research funding, and pursuing patents or industry partnerships would be beneficial.

Publications Top Noted

  • Optimization of vehicle trajectories considering uncertainty in actuated traffic signal timings

    • Authors: AK Shafik, S Eteifa, HA Rakha
    • Year: 2023
    • Citations: 19

  • Queue Length Estimation and Optimal Vehicle Trajectory Planning Considering Queue Effects at Actuated Traffic Signal Controlled Intersections

    • Authors: A Shafik, H Rakha
    • Year: 2024
    • Citations: 5

  • Environmental Impacts of MSW Collection Route Optimization Using GIS: A Case Study of 10th of Ramadan City, Egypt

    • Authors: A Shafik, M Elkhedr, D Said, A Hassan
    • Year: 2022
    • Citations: 4

  • Integrated Back of Queue Estimation and Vehicle Trajectory Optimization Considering Uncertainty in Traffic Signal Timings

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: 3

  • Optimal Trajectory Planning Algorithm for Connected and Autonomous Vehicles Towards Uncertainty of Actuated Traffic Signals

    • Authors: A Shafik, S Eteifa, HA Rakha, E Center
    • Year: 2023
    • Citations: 3

  • Development of Online VISSIM Traffic Microscopic Calibration Framework Using Artificial Intelligence for Cairo CBD Area

    • Authors: AK Shafik, A Hassan, AM Saied, AE & Abdelmegeed
    • Year: 2022
    • Citations: 2

  • Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Traffic Signal Switch Times

    • Authors: S Eteifa, AK Shafik, H Eldardiry, HA Rakha
    • Year: 2024
    • Citations: 1

  • Kalman Filter-based Real-Time Traffic State Estimation and Prediction using Vehicle Probe Data

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: 1

  • Enhancing and Evaluating a Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Controller on an Isolated Signalized Intersection

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: 1

  • Real-Time Turning Movement, Queue Length, and Traffic Density Estimation and Prediction Using Vehicle Trajectory and Stationary Sensor Data

    • Authors: AK Shafik, HA Rakha
    • Year: 2025
    • Citations: N/A

  • Deep Learning Ensemble Approach for Predicting Expected and Confidence Levels of Signal Phase and Timing Information at Actuated Traffic Signals

    • Authors: S Eteifa, A Shafik, H Eldardiry, HA Rakha
    • Year: 2025
    • Citations: N/A

  • Real-Time Turning Movement, Queue Length and Traffic Density Estimation and Prediction from Probe Vehicle Data: A Kalman Filter Approach

    • Authors: A Shafik, HA Rakha
    • Year: 2025
    • Citations: N/A

  • Decentralized Cycle-Free Game-Theoretic Adaptive Traffic Signal Control: Model Enhancement and Testing on Isolated Signalized Intersections

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: N/A

  • Real-Time Traffic State Estimation and Short-Term Prediction Using Probe Vehicle Data: A Kalman Filter Approach

    • Authors: A Shafik, H Rakha
    • Year: 2024
    • Citations: N/A

  • Queue Estimation and Consideration in Vehicle Trajectory Optimization at Actuated Signalized Intersections

    • Authors: AK Shafik, HA Rakha
    • Year: 2024
    • Citations: N/A