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:

CITED : 1044
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Dr. Ali Ghanbari | Autonomous Driving Award | Best Researcher Award

Dr. Ali Ghanbari | Autonomous Driving Award | Best Researcher Award 

Dr. Ali Ghanbari, University of Central Lancashire, United Kingdom

Dr. Ali Ghanbari is a distinguished Lecturer in Mechanical Engineering at the University of Central Lancashire (UCLan), UK, where he leads courses and research in robotics, microrobotic control for biomedical applications, and soft robotics 🤖. With a Ph.D. from Amirkabir University of Technology (AUT) in Tehran, Dr. Ghanbari’s dissertation focused on the modeling and motion analysis of microrobots for biomedical use. His extensive academic career includes over a decade of teaching and research experience across four countries, including the UK, Iran, South Korea, and Switzerland 🌍. He has published 15 journal papers in high-impact journals and has secured substantial research funding. Dr. Ghanbari’s research interests cover micro/nanorobotics, dynamics, biomedical applications, and swarm control, with a particular focus on advancing microrobotic technologies for medical applications 🦠. His postdoctoral work at institutions such as ETH Zurich and DGIST, South Korea, further highlights his expertise in dynamic modeling, magnetic actuation, and the development of innovative microrobotic systems.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Ali Ghanbari’s research is centered on advanced topics such as robotics, microrobotic control for biomedical applications, dynamics and control, and soft robotics. His work in these cutting-edge areas demonstrates significant contributions to the field.

Education:

  • Ph.D. in Mechanical Engineering
    Amirkabir University of Technology – Tehran Polytechnic (AUT)
    September 2005 – March 2011
    Dissertation: Modeling and motion analysis of a novel swimming microrobot for biomedical applications
  • M.Sc. in Mechanical Engineering
    Amirkabir University of Technology (AUT)
    September 2002 – April 2005
    Thesis: Design of an in-plane bistable compliant micromechanism with consideration of pin joint clearance and link length tolerances
  • B.Sc. in Mechanical Engineering
    Amirkabir University of Technology (AUT)
    September 1997 – September 2002
    Thesis: Design and fabrication of the wiper system (mechanism, blades, and arms) of the SEPAND PK car

Work Experience:

  • Lecturer, School of Engineering and Computing
    University of Central Lancashire (UCLan), UK
    July 2020 – Present

    • Module Leader and Instructor for Mechanical Engineering Systems (MP3395), Further Engineering Mathematics and Simulation (SC2153)
    • Instructor & Tutor for Advanced Engineering Systems (MP4583), Engineering Analysis (ER1010), Engineering Design (ER1020)
    • Module Leader and Tutor for Applied Instrumentation (ER4706), Sensors, Instrumentation & Control (MP4706), Mechatronics (ER3200)
    • Supervisor for Research Methods (EL4166), Mini Projects (12 students)
    • Supervisor of B.Sc. (MP3995) and M.Sc. student projects (EL4895) (20 students)
    • Course Leader for Mechatronics MSc Course
    • EASE (Entrepreneurship and Start-up for Engineers) Program Leader in Mechanical Area
    • Steering Committee of Institute of Engineering, Innovation and Technology
  • Research Fellow, Surgical Technologies Lab
    School of Mechanical Engineering, University of Leeds, UK
    June 2019 – June 2020

    • Research on soft robotics and soft sensors for medical applications
    • Research on soft capacitive sensors
    • Performing animal experiments to develop a soft catheter
    • Collaboration with NIHR Global Health Research Group and NHS
    • Instructor for Biomechatronics Module (MECH5605M)
    • Mentoring M.Sc. and Ph.D. students

Publication top Notes:

Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling

Adjustable Compliance Soft Sensor via an Elastically Inflatable Fluidic Dome

Bioinspired reorientation strategies for application in micro/nanorobotic control

Design and Evaluation of Magnetic Hall Effect Tactile Sensors for Use in Sensorized Splints

Electromagnetic Steering of a Magnetic Cylindrical Microrobot Using Optical Feedback Closed-Loop Control

Magnetic actuation of a cylindrical microrobot using time-delay-estimation closed-loop control: modeling and experiments