Dr. Osama Abudayyeh | Autonomous Vehicles Awards | Best Researcher Award

Dr. Osama Abudayyeh | Autonomous Vehicles Awards | Best Researcher Award

Dr. Osama Abudayyeh, Western Michigan University, United States

Dr. Osama Abudayyeh, P.E., is a Professor and Chair of Civil and Construction Engineering at Western Michigan University (WMU). He holds a Ph.D. in Civil Engineering from North Carolina State University, a Master of Engineering from the University of California at Berkeley, and a B.Sc. from Kuwait University. A registered professional engineer in Michigan, California, and North Carolina, Dr. Abudayyeh has extensive experience in academia and industry, having previously served as an assistant professor at North Dakota State University and as a Bridge Engineer with the California Department of Transportation. With over $14 million in funded projects from various federal, state, and private sources, including the U.S. Department of Transportation and the National Science Foundation, he has made significant contributions to the field. Dr. Abudayyeh has authored or co-authored more than 200 articles and technical reports in reputable journals and conference proceedings. His research interests encompass building asset management, BIM applications, innovative project delivery strategies, smart buildings, safety management, autonomous vehicles, bridge management systems, health monitoring, non-destructive testing, and machine learning techniques for bridge condition assessment.

Professional Profile:

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Suitability for the Best Researcher Award

Dr. Osama Abudayyeh is a distinguished professor and chair in the Civil and Construction Engineering Department at Western Michigan University. His extensive academic background, with degrees from reputable institutions like North Carolina State University, the University of California at Berkeley, and Kuwait University, underlines his profound knowledge and expertise in civil engineering.

Education 🎓

  • Ph.D. in Civil Engineering
    North Carolina State University
  • M.Eng. in Civil Engineering
    University of California, Berkeley
  • B.Sc. in Civil Engineering
    Kuwait University

Work Experience 🏗️

  • Professor and Chair of Civil and Construction Engineering
    College of Engineering and Applied Sciences, Western Michigan University (WMU)
  • Assistant Professor of Civil Engineering and Construction
    North Dakota State University (NDSU)
  • Bridge Engineer
    Office of Structures, California Department of Transportation

Achievements 🌟

  • Secured over $14 million in grants and contracts from various sources, including:
    • U.S. Department of Transportation (USDOT)
    • Michigan Department of Transportation (MDOT)
    • Office of Highway Safety Planning (OHSP)
    • U.S. Department of Housing and Urban Development (HUD)
    • National Science Foundation (NSF)
    • Local Michigan governments
    • Private companies
  • Authored or co-authored more than 200 articles and technical reports published in recognized journals and conference proceedings.

Awards and Honors 🏆

  • Registered Professional Engineer in Michigan, California, and North Carolina
  • Recognized for contributions to building asset management, BIM applications, and smart buildings
  • Contributions to research in autonomous vehicles, bridge management systems, and machine learning techniques for bridge condition assessment
  • Received various funding awards and research grants for innovative engineering projects

Publication Top Notes:

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Assoc. Prof. Dr Zhonghe He | Mobility Awards | Best Researcher Award

Assoc. Prof. Dr Zhonghe He | Mobility Awards | Best Researcher Award 

Assoc. Prof. Dr Zhonghe He, North China University of Technology, China

Dr. He Zhonghe is an Associate Professor and postgraduate supervisor with extensive expertise in urban traffic management and control. His research interests focus on urban road traffic state estimation, traffic network modeling and signal control, multi-mode traffic operation evaluation, and public transport vehicle risk monitoring. Dr. He has led 15 projects funded by the National Natural Science Foundation, the National Key Research and Development Plan, and various enterprises, contributing to key innovations in road network balance control, state estimation from traffic data, and video monitoring of public transport. Notably, he developed a traffic signal control system based on an information physical system, enabling closed-loop control from perception to execution. He also pioneered a bus vehicle video monitoring system for identifying and warning abnormal behavior among drivers and passengers, and a vehicle terminal system for remote risk monitoring. His research outcomes have been successfully applied in cities like Beijing, Shandong, Yunnan, and Xinjiang. Dr. He has received four science and technology progress awards, published over 40 papers in SCI/EI journals and conferences, and contributed to a monograph on his field.

Professional Profile:

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Suitability for Best Researcher Award: He Zhonghe

Dr. He Zhonghe is highly qualified and an excellent candidate for the Best Researcher Award, as demonstrated by his extensive contributions to the field of urban traffic management and public transport monitoring. Below is a summary of his key accomplishments and attributes that support his suitability for this prestigious award.

Education:

  • Ph.D. in a relevant field (details of institution and specific area of study are not provided in the original description).

Work Experience:

  • Associate Professor at [Institution Name] (specific university details not provided), where he has been actively involved in research and postgraduate supervision. His academic work focuses on urban traffic state estimation, traffic network modeling, signal control, and public transport vehicle risk monitoring, among other topics.
  • He has led and contributed to 15 national and regional research projects, including those funded by the National Natural Science Foundation, the National Key Research and Development Plan, the Beijing Municipal Education Commission, and various enterprises. These projects have led to significant technological innovations and theoretical advancements in traffic management, such as the development of balanced control strategies for road networks and the creation of video monitoring systems for public transport.

Publication top Notes:

Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion

Research on Attack Detection for Traffic Signal Systems Based on Game Theory and Generative Adversarial Networks

Lane Attribute Classification Based on Fine-Grained Description