Kin Fai Tong | Engineering | Best Researcher Award

Posted on by ScienceFather

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

Jian Liu | Engineering | Best Researcher Award

Posted on by ScienceFather

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.

 

Balamurugan C.R | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Balamurugan C.R | Engineering | Best Researcher Award

Professor & Head/EEE at Er.Perumal Manimekalai College of Engineering, India

Dr. C.R. Balamurugan is a distinguished academician and researcher in the field of Electrical and Electronics Engineering, with extensive expertise in power electronics and industrial drives. With a strong academic background, he holds multiple degrees, including a Ph.D. in Power Electronics from Annamalai University, and an M.E. in Power Electronics and Industrial Drives from Sathyabama University. His career spans over two decades, during which he has held various teaching and administrative positions in reputed engineering institutions. Currently serving as a Professor and Head of EEE at Er.Perumal Manimekalai College of Engineering, Hosur, Dr. Balamurugan has contributed significantly to academia through research, mentorship, and curriculum development. His research interests lie in power electronics, renewable energy systems, and multilevel inverters. He has been recognized with numerous awards for his outstanding contributions to teaching and research. His ability to secure research funding and his active participation in AICTE IDEA LAB further highlight his dedication to advancing engineering education and technological innovation. With a strong commitment to knowledge dissemination, he continues to inspire students and researchers in the field of electrical and electronics engineering.

Professional Profile

Education

Dr. C.R. Balamurugan has a strong educational background in electrical and electronics engineering, with a specialization in power electronics. He earned his Ph.D. in Power Electronics from Annamalai University in 2015, demonstrating his expertise in the field. His M.E. in Power Electronics and Industrial Drives from Sathyabama University (2005) was completed with distinction, securing 80.04%. Prior to that, he completed his B.E. in Electrical and Electronics Engineering from Arunai Engineering College under Madras University in 2000, graduating with a first-class score of 68.2%. His foundational studies include a Diploma in Electrical and Electronics Engineering (DEEE) from Annai Velankanni Polytechnic, where he achieved an impressive 91.1% in 1997. Additionally, he holds an M.B.A. in Information Technology from Tamil Nadu Open University, obtained in 2009 with 65.2%. His diverse educational qualifications equip him with technical, managerial, and research skills essential for leadership roles in academia and industry.

Professional Experience

Dr. C.R. Balamurugan has an extensive career in academia, spanning over two decades. He is currently a Professor and Head of the EEE department at Er.Perumal Manimekalai College of Engineering, Hosur, a position he has held since November 2024. Previously, he served as a Professor and Head of the ECE department at the same institution from September 2023 to November 2024. His experience includes working as a Professor at Er.Perumal Manimekalai College of Engineering (2022–2023), and as a Professor and Head at Tagore Institute of Engineering and Technology, Salem (2022). He has also held teaching positions at Annamalaiyar Engineering College, Polur, and Karpagam College of Engineering, Coimbatore, where he served as a Professor and Head from 2018 to 2021. His early career includes roles as Assistant and Associate Professor at Arunai Engineering College (2005–2017) and Lecturer at Sri Jayaram Engineering College (2002–2003). His leadership in academic institutions highlights his expertise in teaching, research, and departmental management.

Research Interests

Dr. C.R. Balamurugan’s research primarily focuses on power electronics, with specific interests in multilevel inverters, renewable energy systems, and power electronics applications in industrial drives. His work in these areas has contributed significantly to improving efficiency and performance in electrical power systems. He is particularly interested in the development of advanced inverter topologies, motor control techniques, and energy-efficient power conversion technologies. His research also extends to AI-driven solutions for optimizing power electronics applications, grid integration of renewable energy sources, and fault diagnostics in electrical systems. Dr. Balamurugan actively collaborates with fellow researchers and industries to implement cutting-edge innovations in power electronics. His dedication to research has led to several funded projects, conference presentations, and journal publications in reputed platforms such as Scopus and Web of Science.

Research Skills

Dr. C.R. Balamurugan possesses a diverse set of research skills, enabling him to excel in both theoretical and experimental studies. His expertise includes power electronics circuit design, multilevel inverter development, and simulation using MATLAB/Simulink. He is proficient in hardware implementation of power converters, motor control systems, and renewable energy integration. Additionally, he has experience in AI-based optimization techniques for power electronics applications. His ability to conduct experimental validation and performance analysis of power electronic systems sets him apart as a researcher. He has also been successful in securing research grants and managing funded projects. His skills extend to technical writing, where he has authored numerous research papers published in indexed journals. Furthermore, he actively mentors students and research scholars, guiding them in advanced electrical engineering research and project development.

Awards and Honors

Dr. C.R. Balamurugan has received numerous awards in recognition of his excellence in teaching and research. Some of his notable achievements include the “Best Faculty Advisor Award” from the Institute of Engineers, India (2023), and the “Active Young Researcher Award” from Conference World (2018). He has secured multiple “Best Faculty Awards” from Arunai Engineering College for outstanding academic performance between 2006 and 2017. Additionally, he has received cash prizes for contributions to digital content development at Karpagam College of Engineering. His research excellence has been acknowledged with the “Best Paper Award” for his work on multilevel inverters. Furthermore, he has successfully secured research funding, including Rs. 10,94,118 from AICTE for the modernization of the Power Electronics lab (2020-2021) and Rs. 7,500 from the Tamil Nadu State Council for Science and Technology (2023-2024). His role as a faculty coordinator for AICTE IDEA LAB further demonstrates his leadership in academic and research activities.

Conclusion

Dr. C.R. Balamurugan’s illustrious career in academia and research stands as a testament to his expertise, dedication, and contributions to the field of electrical and electronics engineering. With over two decades of experience, he has played a crucial role in mentoring students, leading research initiatives, and managing academic departments. His extensive work in power electronics, particularly in multilevel inverters and renewable energy systems, has significantly advanced knowledge in the field. Recognized with multiple awards and research grants, he continues to push the boundaries of innovation in engineering education and research. As a Professor and Head of the EEE department, he remains committed to fostering a culture of excellence in teaching and research. His passion for technology and academic leadership ensures that he remains a driving force in the advancement of electrical and electronics engineering, shaping the next generation of engineers and researchers.

Publication Top Notes

  • “A Review on Modulation Strategies of Multilevel Inverter”

    • Authors: C.R. Balamurugan, S.P. Natarajan, R. Bensraj, B. Shanthi
    • Journal: Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
    • Year: 2016
    • Citations: 35

  • “Performance Evaluation of Multi Carrier Based PWM Techniques for Single Phase Five Level H-Bridge Type FCMLI”

    • Authors: E. Sambath, S.P. Natarajan, C.R. Balamurugan
    • Journal: IOSR Journal of Engineering
    • Year: 2012
    • Citations: 33

  • “Development of Raspberry Pi and IoT Based Monitoring and Controlling Devices for Agriculture”

    • Authors: C. Balamurugan, R. Satheesh
    • Journal: Journal of Social, Technological and Environmental Science
    • Year: 2017
    • Citations: 27

  • “Three Area Power System Load Frequency Control Using Fuzzy Logic Controller”

    • Author: C.R. Balamurugan
    • Journal: International Journal of Applied Power Engineering (IJAPE)
    • Year: 2018
    • Citations: 25

  • “Investigations on Three Phase Five Level Diode Clamped Multilevel Inverter”

    • Authors: C.R. Balamurugan, S.P. Natarajan, R. Bensraj
    • Journal: International Journal of Modern Engineering Research
    • Year: 2012
    • Citations: 24

  • “Comparative Analysis of Various Z-Source Based Five Level Cascaded H-Bridge Multilevel Inverter”

    • Authors: C.R. Balamurugan, K. Vijayalakshmi
    • Journal: Bulletin of Electrical Engineering and Informatics
    • Year: 2018
    • Citations: 16

  • “Automatic Railway Gate Control System Using 8051 Microcontroller”

    • Authors: C.R. Balamurugan, P. Vijayshankarganth, R. Alagarraja, V.E. Subramanian
    • Journal: International Journal of ChemTech Research
    • Year: 2018
    • Citations: 15

  • “A Review on Various Multilevel Inverter Topologies”

    • Authors: C.R. Balamurugan, S.P. Natarajan, M. Arumugam
    • Journal: Global Journal of Advanced Research
    • Year: 2015
    • Citations: 12

  • “Development of Fuzzy Logic Control for Paralleled Positive Output Elementary Luo Converters”

    • Authors: R. Kayalvizhi, S.P. Natarajan, S. Anbumalar
    • Conference: 1st IEEE Conference on Industrial Electronics and Applications
    • Year: 2006
    • Citations: 10

  • “A New Modified Hybrid H-Bridge Multilevel Inverter Using Less Number of Switches”

    • Authors: C.R. Balamurugan, S.P. Natarajan, V. Vidhya
    • Conference: International Conference on Computation of Power, Energy, Information and Communication
    • Year: 2013
    • Citations: 9

Reza SojoudiZadeh | Engineering | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Reza SojoudiZadeh | Engineering | Best Researcher Award

Assistant Professor at Department of Civil Engineering, Mahabad Branch, Islamic Azad University, Mahabad, Iran

Dr. Reza Sojoudi Zadeh is an Associate Professor in the Department of Civil Engineering at Mahabad Branch, Islamic Azad University, Iran. His research focuses on structural optimization, seismic performance of buildings, and concrete technology. He has published extensively in high-impact journals, contributing to advancements in soft computing techniques, metaheuristic optimization, and earthquake-resistant structures. With a strong academic background, he teaches both undergraduate and graduate courses, specializing in finite element analysis, structural optimization, and reinforced concrete structures. His expertise bridges the gap between theoretical research and practical engineering applications, making significant contributions to civil engineering.

Professional Profile 

Education

Dr. Sojoudi Zadeh earned his Ph.D. in Civil Engineering (Structural Engineering) from Urmia University, Iran (2014-2018), where he focused on seismic performance-based life cycle cost optimization of steel moment frames using soft computing techniques. He completed his M.Sc. in Structural Engineering from Tabriz University (2000-2002), working on dynamic soil-structure interaction using SAP2000 software. His B.Sc. in Civil Engineering (1996-2000) from Tabriz University laid the foundation for his expertise in structural analysis and design.

Professional Experience

Dr. Sojoudi Zadeh is an Associate Professor at Islamic Azad University, Mahabad Branch, where he has been actively involved in research, teaching, and mentoring students. His academic career spans over two decades, during which he has taught undergraduate and postgraduate courses in statics, reinforced concrete design, structural optimization, and finite element analysis. He has authored numerous peer-reviewed research papers and collaborated on studies focusing on structural performance, seismic resilience, and advanced optimization algorithms. His contributions extend to engineering software applications and innovative design methodologies for sustainable and resilient structures.

Research Interest

Dr. Reza Sojoudi Zadeh is an Associate Professor in the Department of Civil Engineering at Mahabad Branch, Islamic Azad University, Iran. His research focuses on structural optimization, seismic performance of buildings, and concrete technology. He has published extensively in high-impact journals, contributing to advancements in soft computing techniques, metaheuristic optimization, and earthquake-resistant structures. With a strong academic background, he teaches both undergraduate and graduate courses, specializing in finite element analysis, structural optimization, and reinforced concrete structures. His expertise bridges the gap between theoretical research and practical engineering applications, making significant contributions to civil engineering.

Awards and Honors

Dr. Sojoudi Zadeh has received recognition for his research contributions in structural engineering and optimization methodologies. His published works in high-impact international journals have been widely cited, earning him academic distinction. Additionally, he has played a key role in supervising and mentoring research students, further solidifying his reputation as an expert in seismic safety and structural analysis.

Research Skills

Dr. Sojoudi Zadeh possesses expertise in finite element analysis, structural modeling, and computational optimization. He is proficient in using engineering software such as SAP2000, ETABS, ANSYS, and MATLAB for structural simulations and performance evaluations. His skills in metaheuristic algorithms, AI-based structural optimization, and seismic design methodologies allow him to develop efficient, cost-effective, and safe structural solutions. Additionally, he has strong analytical and problem-solving skills, enabling him to conduct data-driven research and experimental validations in civil and structural engineering.

Conclusion

Dr. Reza Sojoudi Zadeh is a strong candidate for the Best Researcher Award, particularly in the domain of structural optimization and seismic engineering. His work in metaheuristic optimization, AI applications in structural engineering, and earthquake-resistant structures is significant. However, to strengthen his application, he could focus on increasing research impact (citations, collaborations), engaging in applied research, and obtaining high-profile recognitions.

Publications Top Noted

  • Title: Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables

    • Authors: S. Gholizadeh, R. Sojoudizadeh
    • Year: 2019
    • Citations: 32

  • Title: Shape and Size Optimization of Truss Structure by Means of Improved Artificial Rabbits Optimization Algorithm

    • Authors: S. L. SeyedOskouei, R. Sojoudizadeh, R. Milanchian, H. Azizian
    • Year: 2024
    • Citations: 8

  • Title: Elite Particles Method in Discrete Metaheuristic Optimization of Structures

    • Authors: R. Sojoudizadeh, S. Gholizadeh
    • Year: 2022
    • Citations: 2

  • Title: Sizing Optimization of Truss Structures with Discrete Design Variables Using Combined PSO Algorithm with Special Particles Method

    • Authors: A. Gheibi, R. Sojoudizadeh, H. Azizian, M. Gheibi
    • Year: 2024
    • Citations: 1

  • Title: Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm

    • Authors: T. PayamiFar, R. Sojoudizadeh, H. Azizian, L. Rahimi
    • Year: 2025

  • Title: Seismic Behavior of Concrete Shear Wall with Lap-Spliced Rebar and Sleeve

    • Authors: J. Hasankhani, E. Shafei, R. Sojoudizadeh, S. J. Ghaderi
    • Year: 2024

  • Title: Effect of Configuration Angle on Seismic Performance of Tall Steel Diagrid Frames

    • Authors: R. Sojoudizadeh, R. Milanchian, H. Azizian, A. Beirami Shahabi
    • Year: 2024

  • Title: Enhancing Seismic Performance of Lap-Spliced Concrete Shear Walls by Rebar-Debonding

    • Authors: J. Hasankhani, E. Shafei, R. Sojoudizadeh, S. J. Ghaderi
    • Year: 2024

  • Title: روش ذرات نخبه در بهینه سازی گسسته سازه ها‎ (Elite Particles Method in Discrete Optimization of Structures)

    • Authors: سجودی زاده, قلی زاده قلعه عزیز‎ (R. Sojoudizadeh, S. Gholizadeh)
    • Year: 2022

Suihong Liu | Engineering | Young Scientist Award

Posted on by ScienceFather

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

 

Daniel Akerele | Engineering | Best Researcher Award

Posted on by ScienceFather

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

Anuj Kumar | Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Anuj Kumar | Engineering | Best Researcher Award

Assistant Professor at Management Education & Research Institute, Janakpuri, India

Anuj Kumar is an accomplished academic and researcher in Computer Science & Engineering, currently pursuing a Ph.D. in Image Processing at AKTU, Lucknow. With over a decade of teaching experience at institutions like Guru Gobind Singh Indraprastha University and IIMT College of Engineering, he has significantly contributed to education and research. His expertise spans artificial intelligence, computer graphics, and data structures, complemented by proficiency in programming languages such as Python, C++, and MATLAB. He has published research papers in Scopus-indexed journals, IEEE Explorer, and Elsevier, along with a book chapter on distributed artificial intelligence. Recognized for his contributions, he was awarded at the Smart India Hackathon 2018 and qualified GATE 2012 with an 85.04 percentile. Anuj is actively involved in academic leadership, faculty development, and university assessments. With a commitment to innovation and interdisciplinary research, he aspires to advance computational methodologies and industrial applications in artificial intelligence and image processing.

Professional Profile 

Education

Anuj Kumar has a strong academic background in Computer Science & Engineering. He is currently pursuing a Ph.D. in Image Processing from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, Uttar Pradesh, demonstrating his commitment to advanced research. He earned his M.Tech in Computer Science & Engineering from Guru Gobind Singh Indraprastha University, Delhi, in 2014, securing a first division. His undergraduate studies include a B.Tech in Computer Science & Engineering from the Institution of Electronics & Telecommunication Engineers (IETE), Delhi, in 2011, also with first-division honors. Additionally, he holds a Three-Year Diploma in Computer Science & Engineering from IETE, Delhi (2006). His early education was completed under the U.P. Board, where he finished 10th grade (2000) and 12th grade (2003) in the second division. His educational journey, enriched with technical certifications like MCAD (Microsoft Certified Application Developer) in 2006, has laid a strong foundation for his expertise in computing and research.

Professional Experience

Anuj Kumar has extensive academic experience as an Assistant Professor in Computer Science & Engineering, with a teaching career spanning over a decade across prestigious institutions. Since July 2023, he has been serving at MERI College of Engineering and Technology, Haryana. Prior to this, he worked at IIMT College of Engineering, Greater Noida (2022–2023) and Greater Noida Institute of Technology, GGSIPU (2018–2022), where he contributed to curriculum development and research initiatives. He also held academic positions at USIC&T, Guru Gobind Singh Indraprastha University (2017–2018) and Ram-Eesh Institute of Engineering & Technology (2017). Earlier in his career, he served at Baba Saheb Ambedkar Institute of Technology & Management (2014–2016) and The Institution of Electronics & Telecommunication Engineers, Delhi (2011–2012). His vast experience includes mentoring students, conducting faculty development programs, and leading academic audits, showcasing his commitment to education, research, and institutional development.

Research Interest

Anuj Kumar’s research interests lie at the intersection of computer vision, image processing, artificial intelligence, and computational methods. Currently pursuing a Ph.D. in Image Processing, he focuses on developing advanced techniques for image enhancement, noise removal, and forgery detection using deep learning algorithms. His expertise extends to computer graphics, formal language automata, database management systems (DBMS), data structures, and discrete mathematics, which serve as the foundation for his research innovations. He has actively contributed to AI-driven industrial systems, biodiversity assessment using hyperspectral imaging, and disruptive innovations in tech-business analytics. His work has been published in Scopus-indexed journals, IEEE conference proceedings, and reputed international journals, reflecting the impact of his research. Additionally, he explores the applications of distributed artificial intelligence (DAI) for document retrieval, emphasizing intelligent data processing techniques. His dedication to cutting-edge research strengthens his role as a mentor and academician in the field of computer science and engineering.

Award and Honor

Anuj Kumar has been recognized for his academic excellence and research contributions through various awards and honors. He was awarded in the Smart India Hackathon 2018, a prestigious national-level competition promoting innovation and problem-solving skills. Demonstrating strong technical acumen, he qualified GATE 2012 with an impressive 85.04 percentile and a score of 302, showcasing his expertise in computer science and engineering. His achievements extend beyond academics, as he was the runner-up in the 100m race at IETE, New Delhi, in 2005, highlighting his diverse talents. Additionally, he has played a significant role in academia as a convener of the Joint Assessment Committee (JAC) for academic audits, deputy center superintendent for examinations, and university representative in various assessment programs. His dedication to research and education is further reflected in his memberships on editorial boards and professional organizations, solidifying his reputation as a distinguished academic and researcher.

Research Skill

Anuj Kumar possesses a strong research skillset that spans multiple domains within computer science and engineering, particularly in image processing, artificial intelligence, and computational methods. His expertise in deep learning, fuzzy techniques, and hyperspectral imaging enables him to develop innovative solutions for image enhancement, noise removal, and forgery detection. He is proficient in Python, MATLAB, C++, and various database management systems (DBMS), which support his research in data analysis, automation, and intelligent computing. His ability to critically analyze complex problems, design experiments, and implement advanced algorithms has led to multiple Scopus-indexed publications, IEEE conference presentations, and book chapters. Additionally, his role in academic audits, faculty development programs, and technical training workshops demonstrates his leadership in research and education. His strong analytical thinking, problem-solving capabilities, and hands-on approach to emerging technologies make him a highly skilled researcher in the field of computer vision and artificial intelligence.

Conclusion

Anuj Kumar has a strong academic foundation, technical expertise, and a growing research portfolio in computer science and engineering. His contributions to image processing, artificial intelligence, and industrial automation position him as a promising candidate for the Best Researcher Award. However, enhancing high-impact publications, research collaborations, and funding contributions would further strengthen his profile for this recognition.

Publications Top Noted

  • P., Jaidka, Preeti, P., Upadhyay, Prashant, A., Kumar, Aman, A.S., Kumar, Anuj Shiva, S.P., Yadav, Satya Prakash (2024). Transforming Coconut Farming with Deep Learning Disease Detection. Evergreen. Citations: 0

  • D., Sharma, Deepak, A.S., Kumar, Anuj Shiva, N., Tyagi, Nitin, S.S., Chavan, Sunil S., S.M.P., Gangadharan, Syam Machinathu Parambil (2024). Towards intelligent industrial systems: A comprehensive survey of sensor fusion techniques in IIoT. Measurement: Sensors. Citations: 3

  • S., Singh, Sandeep, B.K., Singh, B. K., A.S., Kumar, Anuj Shiva (2024). Multi-organ segmentation of organ-at-risk (OAR’s) of head and neck site using ensemble learning technique. Radiography. Citations: 3

  • R., Naz, Rahat, A.S., Kumar, Anuj Shiva (2024). Surveying Quantum-Proof Blockchain Security: The Era of Exotic Signatures. Conference Paper. Citations: 1

 

Mohammed Sulaiman | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Mohammed Sulaiman | Engineering | Best Researcher Award

University Lecturer at Erbil Polytechnic University, Iraq

Dr. Mohammed Abdulqader Sulaiman is an accomplished researcher and academic specializing in Thermal Power Engineering. With a Ph.D. from Erbil Polytechnic University (2024), he has dedicated his career to advancing energy efficiency and cooling technologies. His research focuses on novel evaporative cooling systems, reflected in multiple publications in reputable international journals. As a lecturer and former Deputy Head of the Mechanical and Energy Engineering Department, he has played a vital role in academic leadership, laboratory development, and student mentorship. Proficient in engineering software like MATLAB, AutoCAD, and ANSYS, he integrates practical and theoretical expertise in his work. His contributions to renewable energy and refrigeration technologies position him as a strong candidate for research recognition, with potential for further impact through high-impact publications, industry collaborations, and research grants.

Profession Profile

Education

Dr. Mohammed Abdulqader Sulaiman holds a Ph.D. in Thermal Power Engineering from Erbil Polytechnic University (2024), where he also earned his M.Sc. in Thermal Power Engineering in 2016 and his B.Sc. in Refrigeration and Air-Conditioning Engineering in 2012. His academic journey has been dedicated to energy efficiency, heat transfer, and sustainable cooling technologies. Through his advanced studies, he has developed expertise in renewable energy, thermodynamics, and innovative cooling systems, contributing to both theoretical advancements and practical applications in the field of mechanical and energy engineering.

Professional Experience

Dr. Mohammed Abdulqader Sulaiman has extensive professional experience in academia and research, primarily at Erbil Polytechnic University. Since 2012, he has been a lecturer in the Mechanical and Energy Engineering Department, specializing in thermodynamics, renewable energy, and heat transfer. He served as Deputy Head of the department from 2017 to 2021, overseeing academic programs and research initiatives. Additionally, he has held key leadership roles, including Head of Laboratories and Workshops and In-Charge of Engineering Laboratories, contributing to the development of research infrastructure. Dr. Sulaiman has also been an active member of various academic committees, including the Examination and Summer Training Committees, demonstrating his commitment to student mentorship and curriculum development. His expertise in MATLAB, AutoCAD, and ANSYS further enhances his contributions to engineering education and research.

Research Interest

Dr. Mohammed Abdulqader Sulaiman’s research interests lie in the fields of thermal power engineering, energy efficiency, and innovative cooling technologies. His work focuses on dew-point evaporative cooling systems, heat and mass transfer, and sustainable energy solutions, aiming to improve cooling performance while reducing energy consumption. He is particularly interested in renewable energy applications, including solar, hydropower, wind, and geothermal energy, as well as advancements in refrigeration and air-conditioning systems. His research integrates experimental and numerical analysis, utilizing computational tools such as MATLAB, AutoCAD, and ANSYS to develop innovative thermal management solutions. Through his studies, Dr. Sulaiman aims to contribute to the development of energy-efficient and environmentally friendly technologies, addressing the growing global

Award and Honor

Dr. Mohammed Abdulqader Sulaiman has been recognized for his contributions to research and academia through various awards and honors. His dedication to thermal power engineering and energy efficiency has earned him appreciation within the academic and research community. As a member of the Kurdistan Engineers Association and Kurdistan Teachers Union, he has been acknowledged for his role in advancing engineering education and research. His innovative work in dew-point evaporative cooling systems and renewable energy applications has been published in reputable international journals, showcasing his impact in the field. With a strong academic and research background, he is a promising candidate for prestigious awards such as the Best Researcher Award, recognizing his commitment to scientific advancements and sustainable engineering solutions.

Conclusion

Mohammed Abdulqader Sulaiman is a strong candidate for the Best Researcher Award due to his solid academic background, research contributions, and leadership roles. While there are areas for further development, his expertise in thermal power engineering, innovative research in evaporative cooling, and commitment to education make him a competitive nominee.

Publications Top Noted

  • Title: Experimental and numerical investigation of novel dew-point evaporative cooler with shell and tube design
    Authors: MA Sulaiman, HA Saber, HF Hasan, AC Benim
    Year: 2025
    Citations: –

  • Title: Performance analysis of novel dew point evaporative cooler with shell and tube design through different air-water flow configurations
    Authors: MA Sulaiman, AM Adham, HF Hasan, AC Benim, HA Anjal
    Year: 2023
    Citations: 6

  • Title: Evaluation of new dew point evaporative cooler heat and mass exchanger designs with different geometries
    Authors: MA Sulaiman, AM Adham
    Year: 2023
    Citations: 4

  • Title: Energy Performance Analysis of Dew Point Evaporative Cooler with Novel Heat and Mass Exchanger Design
    Authors: MA Sulaiman, AM Adham
    Year: 2023
    Citations: 1

  • Title: Assessing the Performance of Novel Dew Point Evaporative Cooler Considering the Climatic Conditions of Different Cities in Iraq
    Authors: MA Sulaiman, AM Adham
    Year: 2023
    Citations: 1

  • Title: Enhancement of the Overall Performance of Vapor Compression Refrigeration System (VCRS) using Environmentally Friendly Refrigerant and Jumping Capacitors – Experimental Study
    Authors: ZK Shakir, AM Adham, MA Sulaiman, NK Mohammed
    Year: 2020
    Citations: 3

  • Title: Thermal and Hydrodynamic Characteristics of Graphite-H2O and CuO-H2O Nanofluids in Microchannel Heat Sinks
    Authors: SFO Mohammed Abdulqader Sulaiman, Ahmed Mohammed Adham
    Year: 2020
    Citations: 1*

  • Title: Design of a Domestic Diffusion Absorption Refrigeration System Using Evolutionary Algorithm
    Authors: AM Adham, MA Sulaiman
    Year: 2017
    Citations: 6

Najeeb ur rehman Malik | Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Najeeb ur rehman Malik | Engineering | Best Researcher Award

Assistant Professor at DHA Suffa University, Pakistan

Dr. Najeeb Ur Rehman Malik is a dedicated researcher and electronics engineer specializing in computer vision, deep learning, and image processing. He holds a Ph.D. from Universiti Teknologi Malaysia (UTM), where his research focused on multi-view human action recognition using convolutional neural networks (CNNs) and pose features. His expertise spans artificial intelligence, embedded systems, and digital signal processing. With multiple peer-reviewed publications, including work on COVID-19 detection using X-ray images and AI-driven healthcare solutions, he has significantly contributed to applied AI research. He has industry experience as an Assistant Manager at PTCL and has led technical events at the university and national levels. His proficiency in MATLAB, Python, and embedded systems complements his research acumen. While he has made impactful contributions, further global collaborations, research funding, and high-impact citations would enhance his academic influence. Dr. Malik continues to innovate in AI and computer vision, driving advancements in intelligent systems.

Professional Profile 

Education

Dr. Najeeb Ur Rehman Malik has a strong academic background in electronics engineering and communication systems. He is currently pursuing a Ph.D. at Universiti Teknologi Malaysia (UTM), where his research focuses on multi-view human action recognition using deep learning and convolutional neural networks (CNNs). He earned his Master of Engineering (M.E.) in Communication Systems and Networks from Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan, graduating with a CGPA of 3.40. His master’s research explored speeded-up robust features (SURF) for image retrieval systems. Prior to that, he completed his Bachelor of Engineering (B.E.) in Electronics Engineering from MUET with a CGPA of 3.45, gaining expertise in power electronics, automation, digital signal processing, and embedded systems. His academic journey reflects a strong foundation in artificial intelligence, image processing, and computer vision, positioning him as a key contributor to advancements in intelligent systems and AI-driven technologies.

Professional Experience

Dr. Najeeb Ur Rehman Malik has diverse professional experience in both academia and industry, specializing in electronics engineering, communication systems, and artificial intelligence. He served as an Assistant Manager at PTCL in Hyderabad, Sindh, Pakistan, from February 2017 to June 2018, where he gained hands-on experience in telecommunications, networking, and system management. Prior to that, he completed an internship at the National Telecommunication Corporation (NTC) in Karachi during June-July 2010, where he worked on networking infrastructure and telecommunication protocols. In addition to his industry experience, he has been actively engaged in research at Universiti Teknologi Malaysia (UTM), focusing on deep learning applications for multi-view human action recognition. His technical expertise spans MATLAB, Python, embedded systems, and digital signal processing, making him a well-rounded professional. With a strong blend of research and industry exposure, Dr. Malik continues to contribute to advancements in AI, image processing, and communication technologies.

Research Interest

Dr. Najeeb Ur Rehman Malik’s research interests lie at the intersection of computer vision, deep learning, image processing, and artificial intelligence. His primary focus is on multi-view human action recognition, where he integrates convolutional neural networks (CNNs) and pose estimation techniques to enhance accuracy in real-world scenarios. He has also explored content-based image retrieval, developing robust techniques using Speeded-Up Robust Features (SURF) and Scale-Invariant Feature Transform (SIFT). His work extends to healthcare applications, including AI-driven COVID-19 detection from chest X-ray images and the role of wearable technology in pandemic management. Additionally, he is interested in embedded systems, automation, and signal processing, particularly in developing intelligent and efficient computing solutions. His expertise in MATLAB, Python, and FPGA-based system design enables him to innovate in these areas. Dr. Malik aims to contribute to the advancement of AI-driven technologies for healthcare, surveillance, and human-computer interaction.

Award and Honor

Dr. Najeeb Ur Rehman Malik has been recognized for his contributions to computer vision, deep learning, and artificial intelligence through various academic and professional honors. His research in multi-view human action recognition and AI-driven healthcare solutions has been published in reputed journals, highlighting his impact in the field. During his academic career, he actively participated in technical events, conferences, and research forums, further solidifying his reputation as a dedicated scholar. He has also played a key role in organizing and volunteering at national and university-level exhibitions and competitions, showcasing his leadership and commitment to knowledge dissemination. His work on COVID-19 detection using AI and image processing techniques has received significant attention, demonstrating real-world applications of his research. While he has made commendable contributions, further recognition in the form of best paper awards, patents, and international research grants would enhance his standing in the global research community.

Research Skill

Dr. Najeeb Ur Rehman Malik possesses advanced research skills in computer vision, deep learning, and image processing, making significant contributions to AI-driven solutions. He is proficient in MATLAB and Python, leveraging machine learning frameworks like TensorFlow and PyTorch to develop multi-view human action recognition systems using convolutional neural networks (CNNs) and pose estimation techniques. His expertise extends to content-based image retrieval, feature extraction (SURF & SIFT), and embedded system design, enabling efficient AI model deployment. He is skilled in handling large datasets, performing statistical analysis, and optimizing deep learning architectures for real-world applications, including COVID-19 detection from chest X-ray images. Additionally, he has experience in academic writing, research methodology, and experimental design, ensuring high-quality publications. His ability to analyze complex problems, design innovative solutions, and collaborate on interdisciplinary research projects positions him as a strong contributor to advancements in AI, healthcare, and intelligent automation.

Conclusion

Najeeb Ur Rehman Malik is a strong candidate for the Best Researcher Award due to his technical expertise, interdisciplinary research contributions, and published works in computer vision and AI. However, improving citation metrics, securing research funding, and enhancing global collaboration would further strengthen his profile. If he has additional awards, patents, or high-impact projects, those should be highlighted in the application to maximize competitiveness.

Publications Top Noted

  • Cascading pose features with CNN-LSTM for multiview human action recognition

    • Authors: NR Malik, SAR Abu-Bakar, UU Sheikh, A Channa, N Popescu
    • Year: 2023
    • Citations: 23

  • Robust Technique to Detect COVID-19 using Chest X-ray Images

    • Authors: A Channa, N Popescu, NUR Malik
    • Year: 2020
    • Citations: 23

  • Multi-view human action recognition using skeleton based-FineKNN with extraneous frame scrapping technique

    • Authors: NUR Malik, UU Sheikh, SAR Abu-Bakar, A Channa
    • Year: 2023
    • Citations: 18

  • Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review

    • Authors: A Channa, N Popescu, NUR Malik
    • Year: 2020
    • Citations: 17

  • Salp swarm algorithm–based optimal vector control scheme for dynamic response enhancement of brushless double‐fed induction generator in a wind energy conversion system

    • Authors: A Memon, MWB Mustafa, TA Jumani, M Olatunji Obalowu, NR Malik
    • Year: 2021
    • Citations: 10

  • Performance comparison between SURF and SIFT for content-based image retrieval

    • Authors: NUR Malik, AG Airij, SA Memon, YN Panhwar, SAR Abu-Bakar
    • Year: 2019
    • Citations: 8

  • Multiview human action recognition system based on OpenPose and KNN classifier

    • Authors: NUR Malik, SAR Abu Bakar, UU Sheikh
    • Year: 2022
    • Citations: 5

  • Association of stride rate variability and altered fractal dynamics with ageing and neurological functioning

    • Authors: A Channa, N Popescu
    • Year: 2021
    • Citations: 3

  • Localized Background Subtraction Feature-Based Approach for Vehicle Counting

    • Authors: MA El-Khoreby, SAR Abu-Bakar, MM Mokji, SN Omar, NUR Malik
    • Year: 2019
    • Citations: 3

Danica Babic | Engineering | Best Researcher Award

Posted on by ScienceFather

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