معرفی
Dr. Saif Huq is a Senior Lecturer in Robotics Engineering and Course Leader for the Robotics with Artificial Intelligence MSc at the School of Computing and Digital Media, London Metropolitan University. He holds a PhD in rehabilitation robotics from the University of Sheffield, UK, and academic degrees from the University of Dhaka, Bangladesh. Prior to London Met, he held roles at Institute of Technology Sligo (Ireland) and University Tun Hussein Onn Malaysia. His research focuses on dynamics modelling, control systems, collaborative robotics, and rehabilitation robotics, with a strong emphasis on applications like FES-induced movements, UAV magnetic signature attenuation, and automated manufacturing processes. Dr. Huq has secured grants exceeding €150,000 for projects such as remote robotics labs and autonomous cobot operation. He teaches modules including Robotic Systems, Sensors & Control, and Applied Robotics, and actively supervises PhD students.
Education:
- PhD in Rehabilitation Robotics, University of Sheffield (UK)
- MSc in Applied Physics and Electronics, University of Dhaka (Bangladesh)
- BSc (Hons) in Applied Physics and Electronics, University of Dhaka (Bangladesh)
Research Interests:
- Modeling and control of robotic systems
- Collaborative robotics (cobotics)
- Soft robotics and safety protocols
- Multi-modal sensor fusion for autonomous systems
- Functional electrical stimulation (FES) applications
Recent Research Trends: Dr. Huq’s publications emphasize adaptive control algorithms for rehabilitation robotics, magnetic interference mitigation in UAVs, and thermal control in automated welding processes. His 2017-2019 work focused on FES-induced movement restoration for paraplegics, while earlier projects (2014-2015) addressed UAV actuator design and fiberglass composite manufacturing.
Grants & Collaborations:
- £5,000 Rescaling Fund (2020-2022): Robot-assisted waste management with AI
- €75,000 Connacht Ulster Alliance Bursary (2020-2024): Cobot obstacle avoidance
- €75,000 President’s Bursary (2020-2024): Zero-emission mobility systems
Teaching & Leadership: As Course Leader for the Robotics with AI MSc, he designed modules like Robotic Systems and Sensors, and actively integrates research into teaching through labs like the Remote Robotics Educational Lab (2021-2022).
Labs & Teams: His research leverages collaborations with academic and industry partners to advance robotics applications in healthcare and manufacturing sectors.
