Theodore Trafalis | Industrial and Systems Engineering | Best Researcher Award |

Published on by Award and Honors

Prof. Dr. Theodore Trafalis | Industrial and Systems Engineering | Best Researcher Award 

Professor | Industrial and Systems Engineering at The university of Oklahoma | United States

Prof. Dr. Theodore B. Trafalis is a globally recognized expert in industrial engineering and artificial intelligence, known for his pioneering work in machine learning, optimization, and data analytics. As a long-standing faculty member at the University of Oklahoma, he has made significant contributions to academic research, innovation, and applied science. His expertise spans across weather prediction, financial forecasting, manufacturing systems, and intelligent decision-making, with a strong focus on integrating theory with practical impact.

Professional Profile

Scopus | Orcid | Google scholar |

🎓 Education

Dr. Trafalis holds a Ph.D. in Industrial Engineering (1989), an MSIE (1987), and an M.S. in Mathematics (1984) from Purdue University, USA. His academic journey began with a B.S. in Mathematics from the University of Athens, Greece (1982). This strong educational foundation set the stage for his distinguished interdisciplinary research career.

💼 Experience

With over three decades of academic and research experience, Dr. Trafalis currently serves as Professor in the School of Industrial Engineering and Adjunct Professor in the School of Meteorology at the University of Oklahoma. He began his academic career as an instructor at Purdue and has since held numerous international visiting research positions in countries such as Greece, Japan, France, the Netherlands, and Turkey. These roles have strengthened his global academic perspective and collaborative reach.

🔬 Research Interests

His research is centered on machine learning, robust optimization, support vector machines, and data-driven decision-making systems. He has applied these methods to areas like weather forecasting, including tornado prediction, financial modeling, and intelligent systems in manufacturing. His cross-disciplinary approach has enabled impactful advancements in both engineering and environmental sciences, supported by multiple grants from the NSF and NOAA.

🏆 Honors

Dr. Trafalis has received numerous prestigious awards, including the Regents Award for Superior Accomplishment in Research and Creative Activity (University of Oklahoma), and multiple Best Paper Awards at international conferences such as the International Conference on Artificial Neural Networks in Engineering. He has also held fellowships and lectureships including the David Ross Fellowship from Purdue and the Obermann Faculty Fellowship at the University of Iowa.

📚 Top Noted Publications

Linear Discriminant Analysis
Published In: Robust Data Mining, Pages 27–33
Citations: 653
Year of Publication: 2012

Support Vector Machine for Regression and Applications to Financial Forecasting
Published In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks
Citations: 498
Year of Publication: 2000

Robust Data Mining
Published By: Springer Science & Business Media
Citations: 215
Year of Publication: 2012

A Hybrid Model for Exchange Rate Prediction
Published In: Decision Support Systems, Volume 42, Issue 2, Pages 1054–1062
Citations: 209
Year of Publication: 2006

Robust Weighted Kernel Logistic Regression in Imbalanced and Rare Events Data
Published In: Computational Statistics & Data Analysis, Volume 55, Issue 1, Pages 168–183
Citations: 173
Year of Publication: 2011

Conclusion

Prof. Dr. Theodore B. Trafalis exemplifies the qualities of a transformative academic leader whose work bridges disciplines and borders. Through his teaching, research, and international collaborations, he continues to push the boundaries of intelligent systems and optimization science. His dedication to impactful research and educational excellence makes him a standout figure in global academia.

Dr RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award |

Published on by Award and Honors

Dr. RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award 

Former research director, at Université Paris-Saclay, France

Dr. Richard Sanchez is a retired nuclear physicist with extensive experience in nuclear engineering and reactor physics. With a distinguished career spanning several decades, he has made substantial contributions to the fields of transport theory, neutron transport methods, and large-scale reactor physics simulations. Throughout his career, Dr. Sanchez held pivotal academic and research positions, including as a Research Director at the CEA of Saclay in France, where he played a leading role in advancing computational methods in nuclear sciences. He has also served as a professor and mentor to numerous Ph.D. students, shaping the next generation of nuclear engineers.

Professional Profile

Scopus

Education

Dr. Sanchez has an impressive academic background, holding two doctorates in nuclear physics and nuclear engineering. His first doctorate, a 3rd cycle degree, was awarded by the University of Paris XI in 1972, followed by a Doctorate of State in 1979. In 1981, he earned a Ph.D. in nuclear engineering from the University of Washington, establishing him as an authority in the field. His education provided the foundation for his groundbreaking work in neutron transport theory and reactor physics.

Experience

Dr. Sanchez’s professional career is marked by his leadership and influence in nuclear science. He served as the Research Director at CEA (Commissariat à l’Energie Atomique) in Saclay, France, from 2002 to 2016, where he led initiatives in transport theory and numerical methods. Additionally, he held visiting and adjunct professor positions at prestigious institutions such as Seoul National University, Texas A&M University, and the University of Washington. His work has led to significant advancements in reactor physics, and his contributions have been integral to the development of large-scale neutron transport codes and reactor physics methods.

Research Interests

Dr. Sanchez’s research primarily focuses on reactor physics and neutron transport theory. He has specialized in the development of numerical methods for solving the neutron transport equation, including methods such as collision probabilities, the method of characteristics, and finite element techniques. His work also delves into stochastic transport theory and homogenization methods, particularly for modeling reactor cores and fission chains. Dr. Sanchez’s research has played a pivotal role in advancing our understanding of transport in stochastic media and reactor physics.

Awards

Dr. Sanchez has been recognized for his outstanding contributions to nuclear science. In 2009, he received the Gerald C. Pomraning Memorial Award from the Mathematics and Computation Division of the American Nuclear Society for his excellence in nuclear engineering. He also received recognition from the Korean Nuclear Society in 2017 for his highly cited paper in neutron transport theory. These awards highlight Dr. Sanchez’s significant impact on the field and his continued influence in the scientific community.

Top Noted Publications

Title: On the Intermediary Resonance Method and Beyond
Author(s): R. Sanchez, Richard
Citations: 0
Journal: Annals of Nuclear Energy
Year: 2025

Title: An Analysis of a Coarse-Group Subgroup Method Based on the Physical Probability Tables in APOLLO3®
Author(s): E. Rosier, Emeline; L. Mao, Li; R. Sanchez, Richard; L.C. Leal, Luiz Carlos; I. Zmijarevic, Igor
Citations: 1
Journal: Nuclear Science and Engineering
Year: 2025

Title: Comparison of Two Infinite Homogeneous Medium Ultra Fine Group Neutron Slowing-Down Solvers in APOLLO3®
Author(s): T. Lévy, Thierry; L. Mao, Li; R. Sanchez, Richard; C. Jouanne, Cédric; O. Petit, Odile
Citations: 1
Conference Paper
Year: 2025

Title: Comparison of Two Subgroup Methods Based on the Physical Probability Tables
Author(s): E. Rosier, Emeline; L. Mao, Li; I. Zmijarevic, Igor; L.C. Leal, Luiz Carlos; R. Sanchez, Richard
Citations: 0
Conference Paper
Year: 2025

Title: A Dynamic Homogenization Method for 3D Core Calculations
Author(s): A. Galia, Antonio; R. Sanchez, Richard; I. Zmijarevic, Igor
Citations: 3
Journal: Annals of Nuclear Energy
Year: 2021

Conclusion

Dr. Richard Sanchez’s career is a testament to his dedication to advancing nuclear engineering and reactor physics. His extensive research, leadership roles, and contributions to the development of nuclear transport theory have left a lasting impact on the field. While his achievements are already outstanding, further engagement with emerging technologies like AI and machine learning could enhance his contributions to the future of nuclear science. Dr. Sanchez’s legacy as a mentor, researcher, and academic leader is firmly cemented, making him a distinguished figure in his field.

Prof. Dr Fengxian Xin | Mechanical Engineering | Best Researcher Award |

Published on by Award and Honors

Prof. Dr. Fengxian Xin | Mechanical Engineering | Best Researcher Award

Professor , at Xi’an Jiaotong University, China.

Prof. Dr. Fengxian Xin is a distinguished Professor of Mechanical Engineering at the School of Aerospace, Xi’an Jiaotong University, China. With a strong academic and research background in acoustics, vibroacoustics, and solid mechanics, he has developed an international reputation for advancing knowledge in structural sound transmission, acoustic materials, and fluid-structure interactions. Known for his deep theoretical insights and practical modeling skills, Prof. Xin actively collaborates across global academic institutions and remains dedicated to the education and mentorship of future engineers and scientists.

Professional Profile

Scopus

Orcid

Education 🎓

Prof. Xin received his Ph.D. in Mechanics from the School of Aerospace, Xi’an Jiaotong University in 2011 under the supervision of Prof. T.J. Lu. Prior to this, he completed his Master’s degree in the same field and institution in 2008 and earned his Bachelor’s degree in Engineering Mechanics in 2006. His education was firmly rooted in state and MOE key laboratories for strength and vibration, providing a strong foundation in structural dynamics and mechanical behavior of materials

Experience 💼

Prof. Xin began his academic career as a Lecturer (2011–2013) at Xi’an Jiaotong University and rose through the ranks as Associate Professor (2014–2020) before being appointed Full Professor in 2020. His global academic engagement includes serving as a Visiting Scholar at Harvard University (2015–2016) and the Massachusetts Institute of Technology (MIT) in 2017, where he further enriched his research in advanced acoustics and mechanical systems.

Research Interests 🔬

Prof. Xin’s primary research interests lie in acoustofluidics, vibroacoustic behavior of structures, sound absorption materials, and cell and tissue mechanics. His work explores the interaction between sound waves and mechanical structures, with applications in lightweight aerospace structures, noise control, and biomechanics. His research blends analytical modeling, experimental validation, and computational simulation, contributing to the theoretical foundation and practical improvement of acoustic and mechanical systems.

Awards 🏆

Prof. Xin has earned recognition for his scholarly contributions, including the National Science and Technology Academic Publication Fund for his monograph published in Chinese. His international exposure and scholarly excellence have positioned him as a leading expert in vibroacoustics, invited to contribute to academic books and collaborative research projects with world-class institutions.

Top Noted Publications 📚

1. Tunable acoustic metamaterial for broadband low-frequency sound absorption by continuous acoustic impedance manipulation
Authors: Wang, Xiaochen; Yu, Chenlei; Xin, Fengxian
Citations: 5
Journal: Journal of Vibration and Control (JVC)
Year: 2025

2. Effect of Three-Dimensional auxetic honeycomb core on behavior of sound transmission loss in shallow sandwich cylindrical shell
Authors: Sayad Ghanbari Nezhad, Mojtaba; Motavasselolhagh, Mehrdad; Talebitooti, R.; Xin, Fengxian
Citations: 0
Journal: Composite Structures
Year: 2025

3. Broadband sound absorption of micro-perforated sandwich panels with hierarchical honeycomb core at high sound pressure levels
Authors: Zhou, Xindong; Zhang, Weitao; Geng, Xiangfei; Xin, Fengxian
Citations: 2
Journal: Composite Structures
Year: 2025

4. Hybrid honeycomb structure for enhanced broadband underwater sound absorption
Authors: Cai, Chuxiang; Xin, Fengxian
Citations: 5
Journal: International Journal of Mechanical Sciences
Year: 2024

5. Dual-Scale Spiral Material for Balancing High Load Bearing and Sound Absorption
Authors: Yu, Chenlei; Duan, Mingyu; Ti, Fei; Li, Moxiao; Chen, Xin
Citations: 5
Journal: Advanced Science (Open Access)
Year: 2024

Conclusion

Prof. Dr. Fengxian Xin stands as a leading voice in the field of mechanical and acoustic engineering, with a career that bridges rigorous theoretical research and practical problem-solving. His consistent academic growth, international collaborations, and impactful publications make him a worthy candidate for prestigious recognitions such as the Best Researcher Award. With continued contributions to acoustics and mechanics, Prof. Xin is set to remain a key contributor to global advancements in mechanical engineering.

Mr Chirag Patel | Engineering | Best Researcher Award |

Published on by Award and Honors

Mr. Chirag Patel | Engineering | Best Researcher Award

NVH specialist , at CEAT limited,India

Mr. Chirag Patel, born on December 20, 1983, in Vadodara, Gujarat, India, is a seasoned expert in Computer-Aided Engineering (CAE) and Noise, Vibration, and Harshness (NVH), with over 15 years of experience in the automotive and tyre industry. He is currently serving as a Specialist (Senior Manager) at CEAT Ltd., where he leads a team focused on advanced tyre simulation technologies. Chirag is passionate about developing innovative methodologies that merge simulation tools with practical applications, especially in the field of vehicle acoustics, ride performance, and multibody dynamics.

profile

Scopus

Education

Chirag Patel holds a Master’s degree in Engineering and began his career in academia as an Assistant Professor at Charotar University of Science and Technology. His strong academic foundation in mechanical engineering and early exposure to teaching has enriched his analytical thinking and shaped his journey in simulation and applied research.

Experience

Mr. Patel brings rich experience from globally recognized organizations such as CEAT Ltd., Apollo Tyres, Tata AutoComp Systems (at FIAT Chrysler), HCL Technologies (at John Deere), and Ingersoll Rand. At CEAT, he is responsible for simulation methodology development, NVH analysis, acoustic modeling, tyre model validation, and automation in simulation workflows. His earlier roles include conducting full-vehicle dynamic analysis, NVH studies, acoustic testing, and simulation process optimization. His career began as a Project Engineer at Ingersoll Rand and later transitioned into academia before moving into core automotive simulation roles.

Research interest

His primary research interest lies in tyre dynamics, NVH behavior, acoustic simulation, and ride handling through tools such as ABAQUS, ADAMS, HyperMesh, Wave6, and MATLAB. Chirag has led pioneering projects on tyre cavity noise, foam tyre development for low in-cabin noise, rolling simulations, and modal-frequency-based analysis for structure-borne sound. His research also involves tyre modeling for MBD simulations, using models like PAC2002, MF-Swift, and F-Tire, validated through vehicle handling simulations.

Awards

Chirag has achieved significant milestones, including leading multiple tyre simulation methodologies and applying for a patent for a foam-based tyre concept aimed at reducing in-cabin noise. He has also contributed to university-industry collaboration projects and has been instrumental in establishing simulation processes and tools used in commercial vehicle and two-wheeler tyre development. These efforts have garnered internal recognitions and strengthened his reputation as a technical leader.

Publications

Title: A waveguide finite element model with geometric nonlinearity and orthotropy to analyse broadband vibrations in a reinforced radial tyre
Authors: M. Londhe, R. Oorath, C.B. Patel (Chirag Bharatbhai Patel), N. Tiwari
Journal: Wave Motion
Indexing: Indexed in Scopus and Web of Science
Citations: 0 (as of now)
Year of Publication: 2025

Conclusion

With a solid foundation in engineering, years of hands-on experience, and a drive for innovation, Mr. Chirag Patel stands out as a leading professional in the CAE/NVH domain. His work at the intersection of engineering design, acoustic simulation, and performance optimization showcases his commitment to excellence and industry advancement. A valuable asset to any research or development initiative, Chirag Patel is a strong candidate for recognition such as the Best Researcher Award 2024.

Mr Farshad Sadeghpour | Engineering | Best Researcher Award |

Published on by Award and Honors

Mr.Farshad Sadeghpour | Engineering | Best Researcher Award | 

Researcher, at Petroleum University of Technology (PUT) ,Iran

Mr. Farshad Sadeghpour is a highly motivated and multidisciplinary Petroleum Engineer and Data Scientist with a strong academic foundation and hands-on industry experience. He specializes in applying artificial intelligence, machine learning, and geomechanical modeling to tackle real-world challenges in petroleum exploration and reservoir engineering. With an impressive track record of publications, research collaborations, and award-winning projects, Mr. Sadeghpour stands out as an innovative young professional pushing the frontiers of modern petroleum engineering.

Professional Profile

Orcid

Education 🎓

Mr. Sadeghpour holds a Master of Science in Petroleum Engineering (Exploration) from the Petroleum University of Technology, Abadan, Iran (2019–2022), where he graduated with a stellar GPA of 18.82/20. He earned his Bachelor of Science in Petroleum Engineering (Exploration) from the Islamic Azad University, Science and Research Branch, Tehran, Iran (2015–2019), achieving an exceptional GPA of 19.14/20. His academic journey reflects deep technical knowledge, diligence, and consistent excellence.

Experience 👩‍

Mr. Sadeghpour has worked across leading organizations in Iran’s energy sector. His roles include Petroleum Engineer, Petrophysicist, and Data Scientist at institutions such as the Research Institute of Petroleum Industry (RIPI), Petro Vision Pasargad (PVP), Computer Aided Process Engineering (CAPE), and the National Iranian South Oil Company (NISOC). His work involved RCAL, SCAL, EOR laboratory operations, geomechanical modeling, machine learning implementation, and reservoir data analysis—reflecting a strong blend of fieldwork, laboratory experience, and data-driven insights.

Research Interests 🔬

Farshad’s research is at the intersection of petroleum engineering, data science, and geomechanics. He focuses on using machine learning, deep learning, and AI-based models to solve complex reservoir problems such as mud loss prediction, permeability estimation, and CO₂ storage assessment. His work emphasizes both theoretical modeling and practical industry applications, often conducted in collaboration with organizations such as NISOC, RIPI, and the National Iranian Oil Company. His master’s thesis and several projects revolve around neural networks, genetic algorithms, and petrophysical characterization, showing his innovative edge.

Awards 🏆

Farshad’s dedication to excellence was recognized internationally when he secured Third Prize in the EAGE Laurie Dake Challenge 2022 held in Madrid, Spain—a highly competitive event for petroleum engineering students worldwide. He has also been involved in significant national-level research projects with reputed institutions, showcasing his contributions to both academic and industrial progress.

Top Noted Publications 📚

Farshad has co-authored and led multiple high-impact publications in Q1 journals, including:

Energy (2025): Machine learning for CO₂ storage feasibility.

Journal of Petroleum Exploration and Production Technology (2025): New petrophysical-mathematical approach for RQI and FZI.

Geoenergy Science and Engineering (2024): Upscaling methods for elastic modulus prediction.

Journal of Rock Mechanics and Geotechnical Engineering (2024): Stress effects on fracture development in the Asmari reservoir.

Multiple papers under review in Marine and Petroleum Geology, International Journal of Coal Geology, and others.

Conclusion

In conclusion, Farshad Sadeghpour exemplifies the profile of a next-generation energy researcher—technically brilliant, research-oriented, and industry-relevant. His interdisciplinary expertise, publication record, award-winning work, and innovative mindset make him an outstanding candidate for prestigious recognitions such as the Best Researcher Award. His contributions are not only academically significant but also strategically aligned with the global shift toward smart and sustainable energy solutions.

Prof. Dr. Harpreet Kaur | Image processing | Best Researcher Award |

Published on by Award and Honors

Prof. Dr. Harpreet Kaur | Image processing | Best Researcher Award | 

Professor , at lovely Professional University, India.

Prof. (Dr.) Harpreet Kaur is a distinguished academician and researcher in Computer Science & Engineering, specializing in Digital Image Processing and Image Retrieval. She is currently a Professor at Lovely Professional University, Phagwara, Punjab, with over two decades of experience in teaching, research, and academic leadership. Her expertise spans various domains of emerging technologies, and she has significantly contributed to academia through research, mentorship, and administrative roles.

Professional Profile

Scopus

Orcid

Google Scholar

Education 🎓

Prof. Kaur holds a Bachelor of Technology (B.Tech) in Computer Science & Engineering, followed by a Master of Technology (M.Tech) in Information Technology. She further pursued her Doctor of Philosophy (Ph.D.) in Computer Science & Engineering, solidifying her expertise in advanced computing and digital technologies. Her strong academic background has enabled her to lead research initiatives and mentor scholars in her domain.

Professional Experience 💼

With an illustrious career spanning over 20 years, she has held various leadership roles, including Head of Department (CSE), Deputy Dean Academics, and Convener of multiple national and international conferences. She has contributed to the academic ecosystem through faculty development programs, workshops, and research conferences, fostering knowledge-sharing and skill development in the field of engineering and technology.

Research Interests 🌍

Her research primarily revolves around Digital Image Processing, Image Retrieval, Artificial Intelligence, and Emerging Technologies. With a passion for innovation, she has actively contributed to cutting-edge research by publishing over 70+ papers in international conferences and journals, along with 25 national-level research publications. Her expertise extends beyond theoretical research, as she has successfully published more than 15 patents, showcasing her commitment to applied research and technological advancements.

Awards & Honors 🏆

Prof. Kaur’s contributions have been widely recognized through multiple prestigious awards, including the Best Paper Presentation Award (Dubai, 2019), Quality Education Leadership Award (2020), International Teaching Excellence Award (2021), International Distinguished Teacher Award (2023), and the International Research Excellence Award (2024-25). These accolades highlight her excellence in both research and academia.

Top Noted Publications 📚

Synthesis and characterization of ZIF-8 nanoparticles for controlled release of 6-mercaptopurine drug – H. Kaur, G.C. Mohanta, V. Gupta, D. Kukkar, S. Tyagi – 363 citations – Journal of Drug Delivery Science and Technology – 2017

Electrochemical synthesized copper oxide nanoparticles for enhanced photocatalytic and antimicrobial activity – R. Katwal, H. Kaur, G. Sharma, M. Naushad, D. Pathania – 356 citations – Journal of Industrial and Engineering Chemistry – 2015

Image fusion techniques: a survey – H. Kaur, D. Koundal, V. Kadyan – 319 citations – Archives of Computational Methods in Engineering – 2021

Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential – G. Nagpal, S.S. Usmani, S.K. Dhanda, H. Kaur, S. Singh, M. Sharma – 275 citations – Scientific Reports – 2017

Posttraumatic stress disorder in maltreated youth: A review of contemporary research and thought – C.A. Kearney, A. Wechsler, H. Kaur, A. Lemos-Miller – 267 citations – Clinical Child and Family Psychology Review – 2010

Conclusion

Prof. (Dr.) Harpreet Kaur has strong credentials for the Best Researcher Award, particularly due to her extensive research output, innovation through patents, academic leadership, and multiple recognitions. Strengthening international collaborations, securing research grants, and publishing in high-impact factor journals can further enhance her candidacy for elite research awards.

Assoc. Prof. Dr Liangqin Wu | civil engineer | Best Researcher Award |

Published on by Award and Honors

Assoc. Prof. Dr Liangqin Wu | civil engineer | Best Researcher Award | 

East China Jiaotong university , at College of Civil Engineering and Architecture, China.

Assoc. Prof. Dr. Liangqin Wu is a distinguished civil engineer specializing in bridge engineering, vehicle-bridge dynamic interaction, and track-bridge interaction. With a strong academic and industry background, he has contributed significantly to the field through research, teaching, and engineering practice. Currently serving at the School of Civil Engineering and Architecture, East China Jiaotong University, he has led multiple national and provincial research projects and collaborated on international infrastructure initiatives.

Professional Profile

Scopus

Education 🎓

Dr. Wu earned his Ph.D. in Civil Engineering from Tongji University (2012), focusing on railway bridge structures. He holds a Master’s degree from Tianjin Chengjian University (2008) and a Bachelor’s degree from Northwestern Polytechnical University (2005), both in Civil Engineering. His academic journey has shaped his expertise in bridge dynamics, structural analysis, and railway infrastructure development.

Professional Experience 💼

Dr. Wu has extensive academic and industry experience. Since 2014, he has been a faculty member at East China Jiaotong University, teaching Bridge Engineering, Railway Bridge Engineering, and Introduction to Transportation. As a visiting scholar at China Railway Group Limited (Malaysia), he contributed to municipal bridge design in Kuala Lumpur. Before academia, he worked as a bridge engineer at The Third Railway Survey and Design Institute Group Corporation (TSDI), where he played a key role in structural computations for large-scale bridges, optimizing efficiency through self-developed computational programs.

Research Interests 🌍

His primary research interests include vehicle-bridge dynamic interaction, track-bridge interaction, and railway bridge engineering. His studies involve experimental and numerical analysis to enhance the safety, stability, and efficiency of modern railway bridges. He has conducted pioneering work on thin-walled trough girder bridges, braking force dynamics, and long-span rigid frame bridges, significantly contributing to structural resilience and design optimization.

Awards & Honors 🏆

Dr. Wu has been awarded multiple research grants, including funding from the National Natural Science Foundation of China (NSFC) and the Natural Science Foundation of Jiangxi Province. His research contributions have been recognized through industry collaborations, academic accolades, and keynote presentations at international conferences.

Top Noted Publications 📚

Title: Effects of Elevated Temperature on Rubber Concrete: Fracture Properties and Mechanism Analysis
Authors: L. Wu, Liangqin; R. Li, Renfeng; Z. Zhu, Zhiyong; B.B. Aydin, Beyazit Bestami; Y. Zhou, Yubao
Citations: 0
Index: Construction and Building Materials
Year of Publication: 2025

Conclusion

Wu Liangqin is a strong candidate for a research award, particularly in structural engineering, bridge dynamics, and railway infrastructure. However, to be highly competitive for a Best Researcher Award, he could further enhance his publication impact, international collaborations, and research leadership.