Kin Fai Tong | Engineering | Best Researcher Award

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Prof. Dr. Kin Fai Tong | Engineering | Best Researcher Award

Chair Professor of Antennas and Applied Electromagnetics at Hong Kong Metropolitan University, Hong Kong

Professor Kin Fai (Kenneth) Tong is a highly accomplished researcher in antennas and applied electromagnetics, with a prolific academic and professional career spanning over two decades. He holds a Ph.D. in Electronic Engineering and currently serves as Chair Professor at Hong Kong Metropolitan University, with prior leadership roles at University College London. A Fellow of IEEE and several other prestigious academies, he has received numerous international awards including best paper and innovation accolades. His research is backed by substantial funding from top agencies such as EPSRC, DFID, Innovate UK, and MoD UK, with over 30 funded projects in wireless communication, smart agriculture, IoT, and fluid antenna systems. His work has led to groundbreaking advancements in 6G technologies and hybrid microwave-optical systems. While already a leading expert, future efforts could further focus on commercializing innovations and expanding interdisciplinary collaborations. Overall, Professor Tong is exceptionally well-suited for the Best Researcher Award.

Professional Profile

Education🎓

Professor Kin Fai (Kenneth) Tong possesses an impressive educational background that laid the foundation for his distinguished career in electronic engineering and applied electromagnetics. He earned his Bachelor’s and Master’s degrees in Engineering, followed by a Ph.D. in Electronic Engineering, all from reputable institutions known for their strong emphasis on innovation and technological advancement. His academic journey reflects a commitment to excellence and continuous learning, equipping him with in-depth theoretical knowledge and practical expertise in areas such as antennas, wireless communication, and electromagnetic theory. Throughout his educational career, he demonstrated exceptional aptitude for research and problem-solving, which later translated into pioneering contributions to 5G and 6G wireless systems, microwave photonics, and IoT technologies. Professor Tong’s robust academic training not only shaped his scientific mindset but also prepared him to mentor future engineers and researchers, making him a valuable asset in both educational and research-focused institutions around the world.

Professional Experience📝

Professor Kin Fai (Kenneth) Tong has amassed extensive professional experience in the field of electronic engineering, particularly in applied electromagnetics, wireless communications, and antenna design. He currently serves as a Professor of Microwave and Communication Systems at University College London (UCL), where he leads research initiatives and mentors students in cutting-edge technological domains. Over the years, Professor Tong has held various academic and research positions, contributing significantly to the development of 5G and emerging 6G technologies, microwave photonics, and wearable electronics. His work bridges theoretical research with real-world applications, earning him international recognition. He has collaborated with leading industry partners and academic institutions on numerous high-impact projects, and his research has resulted in over 300 scholarly publications. Beyond his technical achievements, he is an influential educator and speaker, often invited to present his work at global conferences. His professional journey reflects a deep commitment to innovation, leadership, and knowledge dissemination.

Research Interest🔎

Professor Kin Fai (Kenneth) Tong’s research interests lie at the intersection of applied electromagnetics and next-generation wireless communication systems. He focuses on the design and development of advanced antennas, microwave and millimeter-wave systems, and their integration into emerging technologies such as 5G, 6G, and the Internet of Things (IoT). His work also explores microwave photonics, body-centric wireless communications, and wearable electronics—aiming to create high-performance, compact, and energy-efficient communication systems. Professor Tong is particularly interested in reconfigurable intelligent surfaces (RIS), terahertz communications, and electromagnetic compatibility in complex environments. His interdisciplinary approach combines theoretical modeling, simulation, and practical prototyping to address real-world engineering challenges. By collaborating with international partners from academia and industry, he drives innovation in areas such as medical diagnostics, wireless sensing, and smart cities. His research continues to shape the future of wireless connectivity, contributing to transformative solutions that enhance communication efficiency, reliability, and sustainability.

Award and Honor🏆

Professor Kin Fai (Kenneth) Tong has received numerous awards and honors in recognition of his outstanding contributions to the field of electromagnetics and wireless communication. He is a Fellow of the Institution of Engineering and Technology (IET) and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), reflecting his esteemed professional standing. Over the years, he has been honored with prestigious research grants and awards for excellence in innovation and academic leadership. His pioneering work in body-centric wireless communications and millimeter-wave antenna design has earned accolades from international conferences and professional societies. Professor Tong has also served on editorial boards of reputed journals and has been invited as a keynote speaker at global conferences, further validating his impact on the scientific community. These recognitions highlight his commitment to advancing technology, fostering interdisciplinary collaboration, and mentoring the next generation of engineers and researchers in the field.

Research Skill🔬

Professor Kin Fai (Kenneth) Tong possesses a diverse and robust set of research skills that have significantly advanced the fields of electromagnetics, antenna design, and wireless communication. He excels in the development and analysis of millimeter-wave and terahertz antennas, with a strong command of computational electromagnetic simulation tools and experimental prototyping. His expertise includes designing body-centric wireless systems and wearable antennas, demonstrating a deep understanding of human body interaction with radio frequency signals. He is also proficient in system integration, signal processing, and electromagnetic compatibility. Professor Tong’s interdisciplinary approach allows him to collaborate effectively across engineering, healthcare, and biomedical fields, applying his skills to real-world applications such as remote sensing and wireless body area networks. His ability to lead complex research projects, publish extensively in top-tier journals, and secure competitive funding showcases his strategic thinking and innovative problem-solving abilities, making him a highly skilled and impactful researcher in his domain.

Conclusion💡

Professor Kin Fai (Kenneth) Tong is highly suitable for the Best Researcher Award.
His decades-long contributions to antennas, wireless communications, and applied electromagnetics—combined with high-level funding, awards, publications, and global recognition—make him an ideal candidate. His research has not only advanced scientific knowledge but also shaped industrial applications in 6G, smart cities, and IoT.

Publications Top Noted✍️

  • Title: Advances in Microstrip and Printed Antennas
    Authors: KF Lee, W Chen
    Year: 1997
    Citations: 888

  • Title: Experimental and Simulation Studies of the Coaxially Fed U-slot Rectangular Patch Antenna
    Authors: KF Lee, KM Luk, KF Tong, SM Shum, T Huynh, RQ Lee
    Year: 1997
    Citations: 586

  • Title: A Broad-band U-slot Rectangular Patch Antenna on a Microwave Substrate
    Authors: KF Tong, KM Luk, KF Lee, RQ Lee
    Year: 2000
    Citations: 400

  • Title: Circularly Polarized U-slot Antenna
    Authors: KF Tong, TP Wong
    Year: 2007
    Citations: 330

  • Title: Microstrip Patch Antennas—Basic Characteristics and Some Recent Advances
    Authors: KF Lee, KF Tong
    Year: 2012
    Citations: 312

  • Title: Fluid Antenna Systems
    Authors: KK Wong, A Shojaeifard, KF Tong, Y Zhang
    Year: 2020
    Citations: 296

  • Title: A Survey of Emerging Interconnects for On-Chip Efficient Multicast and Broadcast in Many-Cores
    Authors: A Karkar, T Mak, KF Tong, A Yakovlev
    Year: 2016
    Citations: 183

  • Title: Fluid Antenna Multiple Access
    Authors: KK Wong, KF Tong
    Year: 2021
    Citations: 173

  • Title: Frequency Diverse Array with Beam Scanning Feature
    Authors: J Huang, KF Tong, CJ Baker
    Year: 2008
    Citations: 140

  • Title: Frequency Diverse Array: Simulation and Design
    Authors: J Huang, KF Tong, K Woodbridge, C Baker
    Year: 2009
    Citations: 136

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

Mohamed Zakaria | Engineering | Best Researcher Award

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Dr. Mohamed Zakaria | Engineering | Best Researcher Award

Kafrelsheikh University Faculty of Engineering, Egypt

Dr. Mohamed H. Zakaria, an Assistant Professor in Civil Engineering at Kafrelsheikh University, Egypt, is a dedicated researcher specializing in Soil Mechanics, Foundation Engineering, Highway Engineering, and Reinforced Concrete. With a Ph.D. from Menoufia University and a consistent academic trajectory, he has published extensively in reputable international journals, contributing innovative research on structural behavior, excavation systems, and the integration of advanced techniques such as machine learning and finite element modeling. His recent work addresses critical infrastructure challenges, reflecting both technical depth and practical relevance. Dr. Zakaria maintains active profiles on ORCID, Scopus, and ResearchGate, demonstrating his engagement with the global research community. His research reflects strong potential for collaboration and societal impact. While he could further enhance his profile through increased citations, international projects, and mentorship roles, his achievements and commitment make him a highly suitable candidate for the Best Researcher Award, with significant promise for future contributions.

Professional Profile 

Education🎓

Dr. Mohamed H. Zakaria has pursued a robust and progressive academic path in the field of Civil Engineering. He earned his Ph.D. in Civil Engineering from Menoufia University, Egypt, where he focused on advanced geotechnical and structural engineering concepts. Prior to this, he obtained a Master of Science degree in Civil Engineering from Kafrelsheikh University, further deepening his expertise in soil mechanics and foundation engineering. His academic journey began at Kafrelsheikh University, where he laid a strong foundation in engineering principles. Throughout his educational career, Dr. Zakaria demonstrated academic excellence, dedication to research, and a commitment to innovation. His studies have equipped him with both theoretical knowledge and practical problem-solving skills, which are evident in his applied research and numerous publications. His educational background not only reflects a high level of specialization in his chosen field but also positions him well for continued contributions to civil engineering education and research.

Professional Experience📝

Dr. Mohamed H. Zakaria has amassed extensive professional experience in the field of Civil Engineering, primarily through his longstanding association with Kafrelsheikh University in Egypt. He began his academic career as a Demonstrator in 2014, steadily progressing to the position of Assistant Lecturer in 2019, and currently serves as an Assistant Professor in the Civil Engineering Department. His roles have encompassed teaching, mentoring, and conducting impactful research in soil mechanics, foundation engineering, and highway engineering. Dr. Zakaria has contributed significantly to the academic community through his involvement in experimental investigations, numerical modeling, and structural analysis. His research has been published in numerous high-impact journals, reflecting both academic rigor and practical relevance. Through his professional journey, he has demonstrated a strong commitment to advancing civil engineering knowledge and fostering innovation. His experience positions him as a capable educator, active researcher, and a valuable contributor to both academic and applied engineering projects.

Research Interest🔎

Dr. Mohamed H. Zakaria’s research interests are rooted in the core areas of Civil Engineering, with a particular focus on Soil Mechanics, Foundation Engineering, Highway Engineering, and Reinforced Concrete. He is especially passionate about understanding and improving the behavior of structural systems under various loading and environmental conditions. His work explores critical challenges such as settlement mitigation, bearing capacity enhancement, and the structural performance of pile walls and reinforced concrete elements. Dr. Zakaria is also interested in the application of advanced techniques like finite element modeling, machine learning, and experimental methods to optimize design and construction practices. His interdisciplinary approach combines theoretical modeling with practical experimentation, aiming to develop innovative and sustainable engineering solutions. Through his research, he seeks to enhance the safety, durability, and efficiency of infrastructure systems, making a tangible impact on both academic knowledge and engineering practice. His work invites collaboration and has strong potential for global relevance.

Award and Honor🏆

Dr. Mohamed H. Zakaria has earned recognition for his dedication to research and academic excellence in Civil Engineering. While specific named awards and honors are not extensively listed in public records, his consistent publication of high-quality research in reputable, peer-reviewed international journals reflects his scholarly impact and recognition within the academic community. His achievements in developing innovative solutions for geotechnical and structural engineering challenges, such as enhancing the performance of secant pile walls and utilizing machine learning in structural prediction, demonstrate both technical expertise and thought leadership. His rising citation metrics and growing international research collaborations also highlight his influence and professional standing. Dr. Zakaria’s academic progression—from Demonstrator to Assistant Professor at Kafrelsheikh University—illustrates his merit and recognition by peers and institutions. As he continues to contribute significantly to his field, he is well-positioned to receive further honors and awards in acknowledgment of his impactful research and academic leadership.

Research Skill🔬

Dr. Mohamed H. Zakaria possesses a diverse and well-developed set of research skills that span both theoretical and practical aspects of Civil Engineering. He is highly proficient in experimental design and laboratory testing, particularly in the areas of soil mechanics, foundation behavior, and reinforced concrete structures. His ability to conduct complex analyses is complemented by his expertise in numerical modeling, including the use of finite element methods for simulating structural and geotechnical behavior. Additionally, Dr. Zakaria has demonstrated skill in applying advanced technologies such as machine learning to predict structural performance, showcasing his adaptability and innovation in solving engineering problems. He is also adept at conducting comprehensive literature reviews, synthesizing technical data, and publishing findings in high-impact journals. His collaborative approach and strong communication skills enhance his ability to work across multidisciplinary teams. Overall, his research skillset makes him a valuable contributor to academic advancements and practical engineering solutions.

Conclusion💡

Dr. Mohamed H. Zakaria is a highly promising and dedicated researcher with a strong and focused track record in civil engineering. His steady academic career, continuous publication record, and exploration of advanced methods like machine learning and FE modeling in civil applications showcase technical excellence and innovative thinking.

Publications Top Noted✍️

  1. Title: Mitigating Settlement and Enhancing Bearing Capacity of Adjacent Strip Footings Using Sheet Pile Walls: An Experimental Approach
    Authors: Ali Basha, Ahmed Yousry Akal, Mohamed H. Zakaria
    Year: 2025
    Citation: Infrastructures, 2025, DOI: 10.3390/infrastructures10040083

  2. Title: A Comparative Study of Terrestrial Laser Scanning and Photogrammetry: Accuracy and Applications
    Authors: Mohamed H. Zakaria, Hossam Fawzy, Mohammed El-Beshbeshy, Magda Farhan
    Year: 2025
    Citation: Civil Engineering Journal, March 2025, DOI: 10.28991/cej-2025-011-03-021

  3. Title: Cantilever Piled-Wall Design Criteria in Cohesionless Soil: A Review
    Authors: Mohamed Hamed Zakaria, Ali Basha
    Year: 2024
    Citation: World Journal of Engineering, 2024, DOI: 10.1108/WJE-01-2024-0038

  4. Title: Prediction of RC T-Beams Shear Strength Based on Machine Learning
    Authors: Saad A. Yehia, Sabry Fayed, Mohamed H. Zakaria, Ramy I. Shahin
    Year: 2024
    Citation: International Journal of Concrete Structures and Materials, 2024, DOI: 10.1186/S40069-024-00690-Z

  5. Title: Effect of Insufficient Tension Lap Splices on the Deformability and Crack Resistance of Reinforced Concrete Beams: A Comparative Study Techniques and Experimental Study
    Authors: Roba Osman, Boshra El-taly, Ahmed Fahmy, Mohamed Zakaria
    Year: 2024
    Citation: Engineering Research Journal, Nov 2024, DOI: 10.21608/erjm.2024.296635.1337

  6. Title: Predicting the Maximum Axial Capacity of Secant Pile Walls Embedded in Sandy Soil
    Authors: Ali M. Basha, Mohamed H. Zakaria, Maher T. El-Nimr, Mohamed M. Abo-Raya
    Year: 2024
    Citation: Geotechnical and Geological Engineering, July 2024, DOI: 10.1007/s10706-023-02734-9

  7. Title: Two-Dimensional Numerical Approaches of Excavation Support Systems: A Comprehensive Review of Key Considerations and Modelling Techniques
    Authors: Mohamed Hamed Zakaria, Ali Basha
    Year: 2024
    Citation: Journal of Contemporary Technology and Applied Engineering, July 2024, DOI: 10.21608/jctae.2024.299692.1030

  8. Title: Interfacial Shear Behavior of Composite Concrete Substrate to High-Performance Concrete Overly After Exposure to Elevated Temperature
    Authors: Nagat M. Zalhaf, Sabry Fayed, Mohamed H. Zakaria
    Year: 2024
    Citation: International Journal of Concrete Structures and Materials, March 2024, DOI: 10.1186/s40069-023-00654-9

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

Mohammad Hossein Khosravi | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Hossein Khosravi | Engineering| Best Researcher Award

Associate Professor at University of Birjand, Iran

Mohammad Hossein Khosravi is an Associate Professor in the Department of Mining Engineering at the University of Birjand, Iran. He holds a Ph.D. in Geotechnical Engineering from the Tokyo Institute of Technology and has a broad academic background, including an M.Sc. in Rock Mechanics from the University of Tehran. His research interests focus on geomechanics, rock/soil slope engineering, and tunneling, with a particular emphasis on physical modeling and retaining structures. Khosravi has earned numerous prestigious awards, including best paper/presentation honors at international conferences and a Ph.D. scholarship from Japan’s Monbukagakusho. He has also gained valuable experience through postdoctoral research at the Center for Urban Earthquake Engineering and consulting roles in geotechnical engineering. He is actively involved in several professional organizations and has been a faculty member at both the University of Birjand and the University of Tehran. His research and academic achievements have made significant contributions to the field of geotechnical engineering.

Professional Profile

Education

Mohammad Hossein Khosravi has an impressive academic background. He earned his Ph.D. in Geotechnical Engineering from the Tokyo Institute of Technology in Japan, completing his dissertation on the arching effect in geomaterials with applications to retaining walls and undercut slopes. Prior to that, he obtained an M.Sc. in Rock Mechanics from the University of Tehran, where he conducted research on the groutability of alluvial deposits at the Kheirabad Dam foundation. He began his academic journey with a B.Sc. in Mining Engineering from Shahid Bahonar University of Kerman, where he studied the permeability of oxidized copper ore against water and sulfuric acid. His educational path reflects a deep commitment to advancing geotechnical engineering and geomechanics.

Professional Experience

Mohammad Hossein Khosravi has extensive professional experience in both academia and industry. He is currently an Associate Professor in the Department of Mining Engineering at the University of Birjand, Iran, where he contributes to both teaching and research. Previously, he served as an Assistant Professor at the University of Tehran, further strengthening his academic profile. Khosravi’s professional experience extends beyond academia; he was a postdoctoral research fellow at the Center for Urban Earthquake Engineering at the Tokyo Institute of Technology and worked as a Geotechnical Consulting Engineer at TaiseiKiso Sekkei Company in Japan. Additionally, he has held positions as a university lecturer and geotechnical site engineer, where he applied his expertise in real-world projects. His career demonstrates a successful blend of teaching, research, and practical experience in geotechnical engineering.

Research Interest

Mohammad Hossein Khosravi’s research interests are primarily focused on geomechanics, with a specific emphasis on rock/soil slope engineering, tunneling, and the behavior of retaining structures. He is particularly interested in physical modeling in geotechnical engineering, investigating the complex interactions of geomaterials under various stress conditions. His work also explores the arching effect in geomaterials, which has significant applications in the design and stability of retaining walls and undercut slopes. These areas of research are critical for improving the safety and efficiency of infrastructure projects such as tunnels, slopes, and retaining structures, making his work highly relevant to both academia and industry in the field of geotechnical engineering.

Award and Honor

Mohammad Hossein Khosravi has received numerous prestigious awards and honors throughout his academic and professional career. Notably, he was recognized with certificate awards for best paper and presentation at the 10th International Conference on Earthquake Engineering in Tokyo (2012) and the Japanese Geotechnical Conference (2010), reflecting the high quality and impact of his research. He also earned a postdoctoral fellowship from the Center for Urban Earthquake Engineering (CUEE) in Tokyo in 2012, further solidifying his expertise in geotechnical engineering. Khosravi was awarded a Ph.D. scholarship by Japan’s Ministry of Education, Culture, Sports, Science, and Technology (Monbukagakusho) for his doctoral studies. Additionally, he was recognized as the second-ranked student in his M.Sc. program and the first-ranked student in his B.Sc. program, both achievements earning him notable accolades. His exceptional academic and research achievements demonstrate his dedication and influence in his field.

Conclusion

Mohammad Hossein Khosravi’s strong academic foundation, innovative research contributions, international exposure, and recognition through awards make him a very suitable candidate for the Best Researcher Award. His work in geotechnical engineering addresses crucial issues in infrastructure and safety, which are of global importance. By expanding his research visibility and collaborations, he has the potential to further elevate his impact in the scientific community. Overall, he demonstrates the qualities and achievements expected of a Best Researcher Award recipient.

Publications Top Noted

  • Title: Determination of the caving zone height using numerical and physical modeling based on the undercutting method, joint dip, and spacing
    Authors: Alipenhani, B., Jalilian, M., Majdi, A., Bakhshandeh Amnieh, H., Khosravi, M.H.
    Year: 2024
    Citations: 2
  • Title: Use of LBPs to estimate VBPs as observed from an investigation of physical model bimrocks
    Authors: Najafvand, K., Khosravi, M.H., Amini, M., Medley, E.
    Year: 2024
    Citations: 0
  • Title: Introducing a new rock abrasivity index using a scaled down disc cutter
    Authors: Moradi, M., Khosravi, M.H., Hamidi, J.K.
    Year: 2024
    Citations: 1
  • Title: Soil Arching and Ground Deformation around Tunnels in Sandy Grounds: Review and New Insights
    Authors: Khandouzi, G., Khosravi, M.H.
    Year: 2024
    Citations: 2
  • Title: Numerical modelling of cohesive-frictional soil behind inclined retaining wall under passive translation mode
    Authors: Sarfaraz, H., Khosravi, M.H., Pipatpongsa, T.
    Year: 2024
    Citations: 0
  • Title: Performance Evaluation of Artificial Neural Networks and Support Vector Regression in Tunneling-Induced Settlement Prediction Incorporating Umbrella Arch Method Characteristics
    Authors: Varjovi, M.A., Rahmanpour, M., Khosravi, M.H., Majdi, A., Le, B.T.
    Year: 2024
    Citations: 1
  • Title: A review on the buried pipeline responses to tunneling-induced ground settlements
    Authors: Mahmoudi, H., Khandouzi, G., Khosravi, M.H.
    Year: 2024
    Citations: 0
  • Title: Mobilization of Cohesion and Friction Angle of Intact Rocks in the Shearing Process
    Authors: Alidaryan, M., Khosravi, M.H., Bahaaddini, M., Moosavi, M., Roshan, H.
    Year: 2023
    Citations: 3
  • Title: An analytical investigation of soil arching induced by tunneling in sandy ground
    Authors: Khandouzi, G., Khosravi, M.H.
    Year: 2023
    Citations: 10
  • Title: Theoretical and Numerical Analysis of Cohesive-Frictional Backfill against Battered Retaining Wall under Active Translation Mode
    Authors: Sarfaraz, H., Khosravi, M.H., Pipatpongsa, T.
    Year: 2023
    Citations: 7

Danica Babic | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Danica Babic | Engineering | Best Researcher Award

University of Belgrade, Faculty of Transport and Traffic Engineering, Serbia

Prof. Dr. Danica Babić is an esteemed expert in air transport and traffic engineering, with extensive academic, research, and consultancy experience. She specializes in airline planning, transportation networks, and air passenger demand forecasting. With over 50 published papers in leading scientific journals and conference proceedings, she has made significant contributions to the field. Dr. Babić has been actively involved in international research projects, including FP7 and Horizon 2020, and has participated in numerous conferences and workshops worldwide. Her expertise extends to consulting in airport planning, network recovery, and aviation operations. She is also a program committee member of TRANSCODE and has delivered lectures on AI in aviation at global forums.

Professional Profile

Education

Dr. Babić earned her Ph.D. in Engineering (Air Transportation) from the University of Belgrade – Faculty of Transport and Traffic Engineering (UB-FTTE) in 2015, with a dissertation focused on network structure and airline scheduling optimization. Prior to that, she completed her Master’s degree in 2009 and a Bachelor’s degree in 2005, both in Air Transport Engineering from UB-FTTE. She has also participated in specialized training programs and workshops, including courses on air transport economics, risk analysis, and multimodal transport organized by leading institutions like EUROCONTROL and SESAR JU.

Professional Experience

Dr. Babić has been a faculty member at the University of Belgrade – Faculty of Transport and Traffic Engineering since 2005, holding positions ranging from Teaching Assistant to her current role as an Associate Professor. She has contributed to major research initiatives, including the European Commission-funded FP7 TRANSTOOLS 3 project and the Horizon 2020 SYN+AIR project. In addition to academia, she has served as a consultant on projects related to airline schedule optimization, airport design, and aviation demand modeling. Notably, she was involved in the sustainability study for Airport Konstantin Veliki in Niš and the technical documentation for the Pljevlja Airport and Heliport project.

Research Interests

Dr. Danica Babić’s research primarily focuses on air transport planning and optimization, with a particular emphasis on airline scheduling, airport operations, and aviation demand forecasting. She explores the complexities of airline network structures, flight scheduling efficiency, and multimodal transportation integration. Her work contributes to enhancing operational resilience in the aviation industry, optimizing passenger and cargo transport flows, and improving decision-making in air transport systems. Additionally, she is deeply involved in data-driven analysis and AI applications in aviation, leveraging machine learning and advanced statistical modeling to predict air travel demand, assess airline performance, and optimize network recovery strategies. Her research extends to the role of artificial intelligence in air traffic management, disruption management, and capacity planning. Dr. Babić is also engaged in sustainability and environmental impact assessment within aviation, working on projects related to emissions reduction, green airport initiatives, and the integration of alternative fuels to support eco-friendly air transport development.

Awards and Honors

Dr. Danica Babić has received numerous academic and professional recognitions for her contributions to the field of air transport and traffic engineering. She has been honored by the University of Belgrade for her excellence in research and teaching, recognizing her significant role in advancing aviation studies. Her doctoral thesis on “Network Structure and Airline Scheduling Optimization” was highly regarded and contributed to innovations in airline operations. She has also been recognized by international organizations for her contributions to aviation research, including her involvement in prestigious EU-funded projects like FP7 Transtools 3 and Horizon 2020 SYN+AIR. As a program committee member of the International Conference on Science and Development of Transport (TRANSCODE), she has played a key role in shaping aviation research discussions.

Conclusion

Prof. Dr. Danica Babić is a highly qualified and accomplished researcher in air transport and traffic engineering. Her extensive research publications, EU project contributions, consultancy experience, and academic leadership make her a strong candidate for the Best Researcher Award. Strengthening her global collaborations, leading independent research initiatives, and acquiring additional international recognitions would further enhance her qualifications.

Overall, she is a highly deserving nominee with impactful research in transportation and aviation. 🚀

Publications Top Noted

  1. Market share modeling in airline industry: An emerging market economies application
    • Authors: D. Babić, J. Kuljanin, M. Kalić
    • Year: 2014
    • Citations: 27
  2. Modeling the selection of airline network structure in a competitive environment
    • Authors: D. Babić, M. Kalić
    • Year: 2018
    • Citations: 22
  3. Integrated door-to-door transport services for air passengers: From intermodality to multimodality
    • Authors: D. Babić, M. Kalić, M. Janić, S. Dožić, K. Kukić
    • Year: 2022
    • Citations: 20
  4. Airport Access Mode Choice: Analysis of Passengers’ Behavior in European Countries
    • Authors: A. Colovic, S.G. Pilone, K. Kukić, M. Kalić, S. Dožić, D. Babić, M. Ottomanelli
    • Year: 2022
    • Citations: 13
  5. The airline schedule optimization model: Validation and sensitivity analysis
    • Authors: O. Babić, M. Kalić, D. Babić, S. Dožić
    • Year: 2011
    • Citations: 11
  6. An AHP approach to airport choice by freight forwarder
    • Authors: S. Dožić, D. Babić, M. Kalić, S. Živojinović
    • Year: 2023
    • Citations: 9
  7. Airline route network expansion: Modelling the benefits of slot purchases
    • Authors: D. Babić, M. Kalić
    • Year: 2012
    • Citations: 9
  8. Recent trends in assessment of proposed consolidations in EU airline industry – From discretion to arbitrariness
    • Authors: D. Pavlović, D. Babić
    • Year: 2018
    • Citations: 8
  9. IMPACT OF COVID-19 ON THE AVIATION INDUSTRY: An overview of global and some local effects
    • Authors: M. Kalić, D. Babić, S. Dožić, J. Kuljanin, N. Mijović
    • Year: 2022
    • Citations: 6
  10. Predicting air travel demand using soft computing: Belgrade airport case study
  • Authors: M. Kalić, S. Dožić, D. Babić
  • Year: 2012
  • Citations: 6
  1. Efikasnost aviokompanija u Evropskoj uniji: Primena AHP i DEA metoda
  • Authors: S. Dožić, D. Babić
  • Year: 2015
  • Citations: 4
  1. Modelling the estimation of the airline profit in case of purchasing new slots for increasing flight frequency
  • Authors: D. Babić, M. Kalić
  • Year: 2011
  • Citations: 4
  1. Introduction to the air transport system
  • Authors: M. Kalić, S. Dožić, D. Babić
  • Year: 2022
  • Citations: 3

Luigi Fortuna | Engineering | Future Frontier Science Award

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Prof. Luigi Fortuna | Engineering | Future Frontier Science Award

IEEE Life Fellow at Università di Catania, Italy

Prof. Luigi Fortuna is a Full Professor of Automatic Control at the University of Catania, Italy, with extensive experience in robust control, nonlinear science, chaos, robotics, and soft-computing strategies for control. He earned his Master’s degree in Electrical Engineering in 1977 and has since contributed significantly to the field with over 700 technical papers, 20 scientific books, and 10 industrial patents. His research has earned him recognition, reflected in an H-index of 56 on SCOPUS. Prof. Fortuna has coordinated and participated in numerous international research projects, including collaborations with institutions like the Joint European Torus (UK) and ENEA (Italy). He has also served in various academic leadership roles, such as the Dean of the Engineering Faculty and Coordinator of the PhD course in Systems Engineering at the University of Catania. A Fellow of IEEE, he is also a prominent figure in international conference organization and scientific journals.

Professional Profile

Education

Prof. Luigi Fortuna earned his education in Electrical Engineering, completing his Master’s degree at the University of Catania, Italy, in 1977. Following this, he pursued advanced studies and research, which led to his professional career in academia and industry. His educational foundation laid the groundwork for his extensive contributions to the fields of automatic control, nonlinear science, chaos theory, robotics, and soft computing for control applications. Throughout his career, Prof. Fortuna has been involved in various international academic and research initiatives, which have helped shape his expertise and knowledge. His academic journey has been marked by a focus on both theoretical and applied aspects of control systems, with a strong emphasis on interdisciplinary research. Prof. Fortuna’s educational background has also led to significant roles in academic leadership, where he has guided and mentored students at both undergraduate and postgraduate levels.

Professional Experience

Prof. Luigi Fortuna has had an illustrious career, primarily in academia and research, with a focus on electrical engineering, control systems, and nonlinear science. He began his academic career as an assistant professor at the University of Catania, Italy, and later became a full professor in the Department of Electrical Engineering. His professional experience spans various research areas, including nonlinear control, robotics, soft computing, and chaos theory, where he has made significant contributions. Prof. Fortuna has held various leadership positions, serving as the head of his department and as a member of numerous academic committees. He has collaborated extensively with international research groups, contributing to the advancement of control theory and its practical applications. Prof. Fortuna has supervised numerous graduate and Ph.D. students, influencing the development of future experts in the field. His professional experience also includes publishing over 200 scientific papers and serving on editorial boards of prestigious journals.

Research Interests

Prof. Luigi Fortuna’s research interests lie primarily in the fields of electrical engineering, control systems, nonlinear dynamics, and artificial intelligence. His work has focused extensively on nonlinear control theory, robotics, and the application of chaos theory in practical systems. He has contributed to the development of methods for controlling nonlinear systems, with applications in various engineering fields, including automation and robotics. Prof. Fortuna has also explored the integration of soft computing techniques, such as fuzzy logic and neural networks, into control systems to enhance system performance and adaptability. Additionally, his research encompasses the use of machine learning and optimization algorithms in the design and control of complex systems. His interdisciplinary approach has led to significant advancements in both theoretical frameworks and real-world applications, bridging the gap between advanced mathematical concepts and practical engineering solutions. Prof. Fortuna’s work continues to influence developments in control theory, robotics, and intelligent systems.

Awards and Honors

Prof. Luigi Fortuna has received numerous awards and honors throughout his distinguished career in recognition of his contributions to electrical engineering, control theory, and artificial intelligence. He has been acknowledged for his pioneering work in nonlinear dynamics, robotics, and advanced control systems. Prof. Fortuna was named a Fellow of the IEEE (Institute of Electrical and Electronics Engineers), a prestigious recognition that highlights his outstanding contributions to the field of control systems and nonlinear dynamics. Additionally, he has been awarded various international research grants, reflecting the global impact of his work. He has also been honored with awards from prominent academic and scientific organizations, further underscoring his leadership in the field of electrical engineering. Throughout his career, Prof. Fortuna has been a regular recipient of best paper awards at major conferences and symposiums. His academic achievements, dedication to research, and innovations have earned him widespread recognition and respect in the global scientific community.

Conclusion

Prof. Luigi Fortuna’s accomplishments make him a strong candidate for the Future Frontier Science Award. His extensive experience in complex systems, robust control, and nonlinear science, combined with his leadership and innovative contributions, aligns with the vision of the award. With an emphasis on expanding cross-disciplinary collaborations, mentoring emerging talent, and enhancing public engagement, Prof. Fortuna could further amplify his remarkable legacy in science.

Publications Top Noted

  • Fractional order systems: modeling and control applications
    • Authors: R Caponetto, G Dongola, L Fortuna, I Petras
    • Year: 2010
    • Citations: 1344
  • Soft Sensor for Monitoring and Control of Industrial Processes. In Advances in Industrial Control Series
    • Authors: L Fortuna, S Graziani, A Rizzo, MG Xibilia
    • Year: 2007
    • Citations: 1115
  • Chaotic sequences to improve the performance of evolutionary algorithms
    • Authors: R Caponetto, L Fortuna, S Fazzino, MG Xibilia
    • Year: 2003
    • Citations: 642
  • Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study
    • Authors: COVIDSurg Collaborative
    • Year: 2021
    • Citations: 579
  • Soft sensors for product quality monitoring in debutanizer distillation columns
    • Authors: L Fortuna, S Graziani, MG Xibilia
    • Year: 2005
    • Citations: 401
  • Model order reduction techniques with applications in electrical engineering
    • Authors: L Fortuna, G Nunnari, A Gallo
    • Year: 2012
    • Citations: 321
  • Effects of mobility in a population of prisoner’s dilemma players
    • Authors: S Meloni, A Buscarino, L Fortuna, M Frasca, J Gómez-Gardeñes, V Latora, …
    • Year: 2009
    • Citations: 288
  • A chaotic circuit based on Hewlett-Packard memristor
    • Authors: A Buscarino, L Fortuna, M Frasca, L Valentina Gambuzza
    • Year: 2012
    • Citations: 286
  • Elective cancer surgery in COVID-19–free surgical pathways during the SARS-CoV-2 pandemic: an international, multicenter, comparative cohort study
    • Authors: JC Glasbey, D Nepogodiev, JFF Simoes, O Omar, E Li, ML Venn, PGDME, …
    • Year: 2021
    • Citations: 274
  • Chua’s circuit implementations: yesterday, today and tomorrow
    • Authors: L Fortuna, M Frasca, MG Xibilia
    • Year: 2009
    • Citations: 270
  • Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
    • Authors: J Glasbey, A Ademuyiwa, A Adisa, E AlAmeer, AP Arnaud, F Ayasra, …
    • Year: 2021
    • Citations: 265
  • Bifurcation and chaos in noninteger order cellular neural networks
    • Authors: P Arena, R Caponetto, L Fortuna, D Porto
    • Year: 1998
    • Citations: 225
  • Chua’s circuit can be generated by CNN cells
    • Authors: P Arena, S Baglio, L Fortuna, G Manganaro
    • Year: 1995
    • Citations: 224
  • Cellular neural networks: chaos, complexity and VLSI processing
    • Authors: G Manganaro, P Arena, L Fortuna
    • Year: 2012
    • Citations: 211
  • Does chaos work better than noise?
    • Authors: M Bucolo, R Caponetto, L Fortuna, M Frasca, A Rizzo
    • Year: 2002
    • Citations: 206

Mantesh Basappa Khot | Engineering | Best Researcher Award

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Dr. Mantesh Basappa Khot | Engineering | Best Researcher Award

Assistant Professor at PES University, India

Dr. Mantesh Basappa Khot, Assistant Professor in Mechanical Engineering at PES University, is a dedicated researcher with expertise in machine design, composite materials, and sustainable engineering. He holds a Ph.D. from PES University (2024) and a Master’s degree in Machine Design from Visvesvaraya Technological University, where he was awarded a Gold Medal. Dr. Khot’s research contributions include over 14 international publications in areas such as composite material innovation for automotive and aerospace applications, as well as sustainable solutions like recycling textile and plastic waste. He has actively contributed to curriculum development, including his role in establishing the BEST center at PES University. In addition, Dr. Khot has significant experience in teaching a wide range of undergraduate and postgraduate courses, mentoring students, and organizing conferences. His technical skills in NAAC documentation, finite element analysis, and digital design further enhance his academic and professional profile.

Professional Profile

Education

Dr. Mantesh Basappa Khot has a robust educational background in engineering, which forms the foundation of his academic and research career. He earned his Ph.D. in Mechanical Engineering from PES University in 2024, where his research focused on innovative applications of composite materials. Prior to that, he completed his Master’s degree in Machine Design from Visvesvaraya Technological University, graduating with a Gold Medal, a testament to his academic excellence. His undergraduate studies were in Mechanical Engineering, where he acquired a solid technical foundation. Throughout his academic journey, Dr. Khot has engaged in various interdisciplinary projects, enhancing his expertise in machine design and sustainable engineering. His education is complemented by practical experience and a commitment to advancing engineering principles, making him a valuable asset in both teaching and research environments. Dr. Khot’s educational achievements underscore his dedication to fostering innovation and excellence in the field of mechanical engineering.

Professional Experience

Dr. Mantesh Basappa Khot has accumulated diverse professional experience within academia and research, specializing in mechanical engineering and material sciences. Currently, he serves as an Assistant Professor at the Department of Mechanical Engineering, PES University, where he is deeply involved in both teaching and guiding research projects. Dr. Khot has contributed to various interdisciplinary studies, focusing particularly on composite materials and sustainable engineering solutions. He is known for integrating practical, real-world applications into his curriculum, enhancing students’ understanding of machine design and structural analysis. Previously, Dr. Khot held positions in the industry where he gained hands-on experience in mechanical systems and advanced material applications, further enriching his academic insights. His collaborative projects with industry partners have addressed engineering challenges and have led to innovations in material efficiency and machine resilience. Dr. Khot’s professional experience reflects a blend of academic rigor and applied engineering expertise, positioning him as a leader in his field.

Research Interests

Dr. Mantesh Basappa Khot’s research interests focus on mechanical engineering and material science, specifically in the development and optimization of advanced composite materials for structural applications. His work explores the design, analysis, and application of fiber-reinforced composites, with an emphasis on enhancing their strength, durability, and sustainability. Dr. Khot is particularly interested in lightweight materials that retain high-performance characteristics, making them ideal for automotive, aerospace, and energy sectors. He is also dedicated to sustainable engineering practices, researching biodegradable and eco-friendly composites that minimize environmental impact. His studies delve into the material properties at both macro and micro levels, utilizing experimental and computational modeling techniques to better understand how different material compositions affect performance. Through his research, Dr. Khot aims to contribute to innovations in mechanical design and structural integrity, with a long-term goal of creating safer and more sustainable engineering solutions across various industries.

Awards and Honors

Dr. Mantesh Basappa Khot has been honored with several prestigious awards recognizing his contributions to mechanical engineering and materials science. His research innovations in composite materials and sustainable engineering solutions have earned him accolades from leading institutions and industry bodies. Dr. Khot has received awards for excellence in research, including distinctions at international conferences focused on composite materials and structural engineering. His contributions have also been acknowledged through grants and fellowships that support advanced research in materials science, enabling him to further explore innovative applications of lightweight and eco-friendly materials. Dr. Khot’s work has garnered recognition not only for its academic impact but also for its real-world applicability, especially in automotive and aerospace engineering. His commitment to sustainable engineering and groundbreaking contributions in the field have solidified his reputation as a respected and influential researcher, inspiring new advancements in materials science and mechanical engineering.

Conclusion

Dr. Mantesh Basappa Khot is a strong candidate for the Best Researcher Award due to his extensive publication record, innovative research in sustainable materials, and active involvement in academic and administrative roles. With further emphasis on interdisciplinary and industry-based projects, he could increase his impact and contribution to the mechanical engineering field. Dr. Khot’s academic accomplishments, research focus on sustainable materials, and commitment to teaching and mentorship make him a highly deserving nominee for this award.

Publications Top Noted

  • Plastic waste into fuel using pyrolysis process
    • Authors: MB Khot, S Basavarajappa
    • Year: 2017
    • Citations: 7
  • Effect of tool material on thrust force and delamination in the drilling of coconut leaf sheath fibre reinforced polymer composites
    • Authors: MB Khot, MP Kumar
    • Year: 2021
    • Citations: 5
  • Plastic waste into fuel using pyrolysis process
    • Authors: BK Mantesh, S Basavarajappa
    • Year: 2017
    • Citations: 3
  • A review on textile waste production, management and its applications in construction engineering field
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2022
    • Citations: 2
  • Finite element modelling and dynamic characteristic analysis of the human CTL-Spine
    • Authors: S Dayanand, BR Kumar, A Rao, C CV, M B Khot, H Shetty
    • Year: 2020
    • Citations: 2
  • Plastic waste into fuel using pyrolysis process
    • Authors: S Basavarajappa, MB Khot
    • Year: 2017
    • Citations: 2
  • Finite element modelling and simulation of car bonnet’s crashworthiness parameters for pedestrian safety
    • Authors: KS Neeraj, SRS Salanke, SS Tejas, SR Sudhansh, MB Khot
    • Year: 2024
    • Citations: 1
  • A review on fabrication and dynamic characterisation of composite beam structure
    • Authors: J Akshobya, MB Khot
    • Year: 2023
    • Citations: 1
  • A cotton waste reinforced composite for automotive applications: development and thermal characterization
    • Authors: MB Khot, KSSD Sethuram
    • Year: 2024
    • Citations: 0
  • A review on finite element modelling and experimental analysis of crashworthiness design of automotive body
    • Authors: SRS Salanke, S Shantha Raju, T SS, N Kolhapuri Srinivas, MB Khot
    • Year: 2024
    • Citations: 0
  • Finite element analysis & topology optimization of excavator bucket teeth for optimal performance
    • Authors: BAM Mohan, MU Rahaman, R Madhu, MB Khot
    • Year: 2024
    • Citations: 0
  • Recent advancements in 3D printing for gear design and analysis: a comprehensive review
    • Authors: L Pujari, S Manoj, OK Gaddikeri, P Shetty, MB Khot
    • Year: 2024
    • Citations: 0
  • Prediction of elastic properties of cotton waste reinforced epoxy composites for structural applications
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2024
    • Citations: 0
  • Design and Analysis of Multitasking Column Climbing Robot
    • Authors: V Shanura Pattara, V Abhi, R Ravi, PV Ranganatha, M Basappa Khot
    • Year: 2023
    • Citations: 0
  • Experimental and Numerical Investigation of Tensile Strength of Hybrid Flax–Glass Epoxy Reinforced Composite
    • Authors: RR Reddy, MB Khot
    • Year: 2023
    • Citations: 0

Aly Mousaad Aly | Engineering | Best Researcher Award

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Prof. Aly Mousaad Aly | Engineering | Best Researcher Award

PhD at Louisiana State University, United States

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3

jienan Shen | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. jienan Shen | Engineering | Best Researcher Award

Research associate at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3