Husham Saied | Vehicle Dynamics | Research Excellence Award

Assist. Prof. Dr. Husham Saied | Vehicle Dynamics | Research Excellence Award

Assistant Professor  |  PSMCHS |  Saudi Arabia

Assist. Prof. Dr.Husham Saied is an accomplished academic and researcher with extensive experience in biomedical technology, combining teaching, applied research, and interdisciplinary collaboration. His professional experience spans academic appointments and clinical–engineering roles, contributing to curriculum development, student supervision, and the translation of engineering solutions into healthcare practice. His research interests focus on biomedical signal processing, medical devices, diagnostic systems, assistive technologies, and computational methods applied to healthcare challenges. He possesses strong research skills in experimental design, data analysis, system modeling, algorithm development, and scholarly publishing, alongside experience in funded projects and patent-oriented innovation. His work has earned professional recognition through editorial roles, peer-review activities, and participation in impactful research initiatives. Overall, his profile reflects sustained contributions to biomedical engineering research and education with measurable scholarly impact. He has achieved 105 Citations, 6 Documents, 5h-index.

 

Citation Metrics (Scopus)

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105
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6
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5
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Featured Publications


Vehicle Dynamics and Control

– R. Rajamani, Springer (ResearchGate)


The Science of Vehicle Dynamics

– M. Guiggiani (ResearchGate)


Vehicle Dynamics and Tire Models: An Overview

– Belrzaeg et al., World Journal of Advanced Research (ResearchGate)

Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Prof. Dr.Youqun Zhao | Vehicle Dynamics | Research Excellence Award

Second-level Professor  |  Nanjing University of Aeronautics and Astronautics  |  China

Prof. Dr. Youqun Zhao is a leading scholar in vehicle engineering and intelligent transportation systems, with extensive contributions spanning green intelligent transport equipment, new-energy and electric vehicles, vehicle safety and control, non-pneumatic mechanical elastic wheels, and human–machine shared control for autonomous driving. Professional experience reflects long-term leadership in advanced vehicle dynamics, handling inverse dynamics, and intelligent control, alongside visiting and collaborative international research roles. Research interests focus on vehicle system dynamics, unmanned and co-driving vehicles, mechanical elastic wheel technology, suspension and steering control, and energy-efficient mobility systems. Research skills include theoretical modeling, inverse dynamics, multi-objective optimization, control algorithms, simulation–experiment integration, and patent development. Awards and honors include multiple national and ministerial science and technology prizes, invention awards, and recognition among the world’s top 2% scientists. Overall, the work demonstrates sustained impact, innovation, and academic excellence in automotive and intelligent vehicle engineering.He has achieved 2904 Citations, 261 Documents, 28 h-index.

 

Citation Metrics (Scopus)

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2904
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261
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28
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Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

Assoc. Prof. Dr. Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

Associate Professor | Arak University | Iran

Assoc. Prof. Dr. Mehdi Modabberifar is an accomplished researcher with sustained contributions to mechatronic systems, advanced manufacturing, and electrostatic-based actuation technologies, demonstrating a strong balance between theoretical modeling and experimental validation. His professional experience includes active involvement in academic research environments, collaborative projects, and applied engineering studies addressing challenges in precision actuation, robotic manipulation, and smart material systems. His research interests focus on manufacturing processes, mechatronic system design, electrostatic actuators and motors, sensors, gecko-inspired adhesives, robotic grippers, and micro- and nano-scale manipulation, with applications spanning robotics, automation, and intelligent mechanical systems. His research skills encompass system modeling and simulation, actuator and sensor design, experimental mechanics, electrostatic induction mechanisms, robotic end-effector development, data analysis, and performance optimization under varying operational conditions. He has authored a diverse body of peer-reviewed journal and conference publications in reputable international outlets, with several widely cited works on gecko-inspired robotic grippers, electrostatic motors, dielectric sheet conveying, and smart actuator behavior, reflecting both originality and impact. His scholarly output demonstrates interdisciplinary reach across robotics, materials, and manufacturing engineering. Awards and honors include recognition through citation impact and research visibility within his fields of expertise. Overall, his work reflects a consistent trajectory of innovation, methodological rigor, and meaningful contribution to modern mechatronics and intelligent manufacturing research. He has achieved 202 Citations 23 Documents 7 h-index.

 

Citation Metrics (Scopus)

200
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20
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202
Citations

23
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7
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Documents

h-index


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Featured Publications