Ahmed Asker

Associate Professor
ahmed.asker@ejust.edu.eg

Personal Info

01027502199

Building 18, F.2 18

Mechatronics and Robotics Engineering

Dr. Ahmed Asker is an Associate Professor of Mechatronics, Robotics, and Mechanical Design at Egypt-Japan University of Science and Technology (E-JUST) and the Production and Mechanical Design Engineering Department, Mansoura University. He received his M.Sc. and Ph.D. in Mechatronics and Robotics from E-JUST, graduating with distinction and focusing on robotic assistive and rehabilitation technologies.

His research interests include robotic manipulators, data-driven dynamics, biomechanical modeling, robotic orthoses and prosthetic devices, medical robotics, soft robotics, mechanism synthesis and optimization, and artificial intelligence applications in robotics. His work aims to develop intelligent and practical solutions that bridge advanced robotics research with real-world engineering and healthcare applications.

Dr. Asker has extensive international academic and research experience, including a Postdoctoral Research Fellowship at the University of Leeds, United Kingdom, and research training at the Nara Institute of Science and Technology, Japan. He has taught a wide range of undergraduate and postgraduate courses in robotics, mechatronics, multibody dynamics, optimization, and mechanical design at E-JUST, Mansoura University, Nile University, Ain Shams University, the University of Leeds, and as a guest lecturer at Harbin Institute of Technology, China.

He has authored numerous publications in leading journals and conferences, holds an Egyptian patent in robotic rehabilitation devices, and has received several awards, including the Outstanding Ph.D. Thesis Award and international innovation and best paper awards. His current research focuses on integrating artificial intelligence with robotics to advance dynamic modeling, control, assistive technologies, and next-generation robotic systems.

 

My research focuses on robotics, mechatronics, and intelligent engineering systems, with particular emphasis on data-driven dynamics, robotic manipulators, and AI-enabled control. I am interested in the development of assistive and rehabilitation technologies, including robotic exoskeletons, orthoses, prosthetic devices, and medical robots. My work also explores biomechanical modeling of human motion, mechanism synthesis and optimization, soft robotics, and human–robot interaction, aiming to develop innovative solutions that improve mobility, healthcare, and industrial automation.

Awards

·  Outstanding Ph.D. Thesis Award, Egyptian Engineering Education Sector Committee, in recognition of excellence and innovation in doctoral research.  

·  Best Paper Award (Second Place) at the 6th IEEE Conference on Novel Intelligent and Leading Emerging Sciences.

·  Innovation Award at the 4th Cairo International Exhibition for Innovation for contributions to innovative engineering and robotic technologies.

·  Best Graduation Project Supervision Award (2023/2024) for supervising the project“Semi-autonomous Firefighting and Rescue Robot”, which received recognition from the Innovators Support Fund (ISF) and Industry 4.0 initiatives.

·  Egypt Government Research Scholarship (2012–2017) supporting M.Sc. and Ph.D. studies in Mechatronics and Robotics.

·  Long-Term Research Travel Grant to Nara Institute of Science and Technology (NAIST), Japan, supporting advanced research collaboration in robotics.

Impacted Journal

  • Expert Systems with Applications (Elsevier, Q1, Top AI & Computer Science Journal)
    • R-SIEL: A Physics-Informed Learning Algorithm for Discovering Dynamics of Serial Manipulators (2025).
  • Journal of Mechanisms and Robotics (ASME)
    • Asker, A., & Assal, S. F. M. Development of a Parallel Manipulator-Based Multifunction Mobility Assistive Device. , Vol. 11, No. 6, 2019, Article 064503.
  • Nonlinear Dynamics (Springer, Q1, Mechanics & Dynamical Systems)
    • Robust Data-Driven Dynamic Model Discovery of Industrial Robots with Spatial Manipulation Capability Using Simple Trajectory (2024).
  • IEEE Access (IEEE, Q1, Multidisciplinary Engineering)
    • A Framework for Data Driven Dynamic Modeling of Serial Manipulators (2022).
  • Advanced Robotics (Taylor & Francis, Q1/Q2 depending on year and category)
    • Modeling of Natural Sit-to-Stand Movement Based on Minimum Jerk Criterion for Natural-like Assistance and Rehabilitation (2017).
    • A Systematic Approach for Designing a Multi-function Sit-to-Stand Mobility Assistive Device Based on Performance Optimization (2019).
  • Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
    • Optimum Design of Polycentric Knee Hinges Based on Analysis of Knee-Exoskeleton Closed Kinematic Chain (2025).
  • AIP Advances
    • Comparative Study of Interpretable and Black-Box Machine Learning for Modeling Mechanical and Tribological Properties of 3D-Printed PLA/Date Pits Composites (2024).

International Conference

  • Physics-Constrained Data-Driven Dynamic Modeling of Underactuated Robotic Systems, 6th IEEE International Conference on Novel Intelligent and Leading Emerging Sciences (NILES), 2024.
  • Multi-objective Optimization of Force Transmission Quality and Joint Misalignment of a 5-Bar Knee Exoskeleton, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021.
  • A Direct Collocation Method for Optimization of EMG-Driven Wrist Muscle Musculoskeletal Model, IEEE International Conference on Robotics and Automation (ICRA), 2021.
  • Robust Iterative Learning Control for Pneumatic Muscle with State Constraint and Model Uncertainty, IEEE International Conference on Robotics and Automation (ICRA), 2021.
  • Experimental Validation of a Motion Generation Model for Natural Robotics-Based Sit-to-Stand Assistance and Rehabilitation, IEEE International Conference on Robotics and Biomimetics (ROBIO), 2016.
  • Dynamic Analysis of a Parallel Manipulator-Based Multi-Function Mobility Assistive Device for Elderly, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2015.
  • Kinematic Analysis of a Parallel Manipulator-Based Multi-Function Mobility Assistive Device for Elderly, IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2015.
  • Dynamic Modeling of a Parallel Manipulator-Based Mobility Assistive Device for Elderly People, Mediterranean Conference on Control and Automation (MED), 2014.
  • ANFIS-Based Jacobian for a Parallel Manipulator Mobility Assistive Device, UKACC International Conference on Control, 2014.
  • Development of Parallel Manipulator Sit-to-Stand Assistive Device for Elderly People, IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 2013.
  • Learning the Sit-to-Stand Human Behavior: An Inverse Optimal Control Approach, International Computer Engineering Conference (ICENCO), 2017.

Courses Teaching

Dr. Ahmed Asker has extensive teaching experience in mechatronics, robotics, mechanical design, dynamics, optimization, and autonomous systems at several national and international institutions, including Egypt-Japan University of Science and Technology (E-JUST), Mansoura University, Nile University, Ain Shams University, the University of Leeds (UK), and Harbin Institute of Technology (China). His teaching philosophy emphasizes integrating theoretical foundations with hands-on design projects, simulation tools, and practical engineering applications to develop students' analytical, problem-solving, and innovation skills. 

Courses Taught:

  • Robotics Kinematics, Dynamics, and Control.
  • Mechatronics System Design.
  • Introduction to Autonomous Systems.
  • Modeling and Simulation of Dynamic Systems. 
  • Multibody Dynamics.
  • Optimum Design of Mechanical Systems.
  • Machine Element Design I & II.
  • Applied Engineering Statistics.
  • Individual Mechatronics and Robotics Projects.
  • Intelligent Control
  • Project Based Learning in Mechatronics and Robotics
  • Advanced Topics in Mechanical Systems Design