Dr Saif Huq is a Senior Lecturer in Robotics Engineering and course leader for Robotics with Artificial Intelligence MSc at the School of Computing and Digital Media.
Dr. Saif Huq
Dr. Saif Huq received his PhD from the Department of Automatic Control and Systems Engineering, University of Sheffield in the areas of rehabilitation robotics, modelling and control. A registered Chartered Engineer with the Engineering Council UK, Dr. Huq gained his MSc and BSc (Hons) degrees in Applied Physics and Electronics from the University of Dhaka, Bangladesh, situated in the capital city of Bangladesh, where he was born and raised.
Dr Huq has been working at the School of Computing and Digital Media since 2020. Prior to joining London Met, he was working as a Lecturer in Mechatronics Engineering at the Institute of Technology Sligo, Ireland for two years (2018-2020). This followed his role as a Senior Lecturer in the Department of Mechatronics and Robotics Engineering at University Tun Hussein Onn Malaysia for three and a half years (2015 – 2018).
Dr Huq’s postdoctoral research includes working at the Advanced Biomechatronics and Locomotion Lab, Carleton University, Ottawa, Canada (2010 – 2015), which involved magnetic signature cancellation of a UAV (targeted to be used in aeromagnetic survey) and robotic automation of resistance welding in thermoplastic composites through temperature control. Prior to that, he did postdoctoral research at the University of Sheffield in 2009, which involved modelling and control of biped walking in the humanoid robot iCub.
Dr Huq is an active researcher in various fields of robotics and mechatronics. His research activity includes publishing peer-reviewed articles in high impact journals, presenting at well reputed international conferences and publishing book chapters. Dr Huq has been successful in securing research grants at institutional, national and international levels, collaborating with external, academic and industrials partners through his research projects. He is currently supervising three full-time PhD students and has supervised four successful PhD graduates in the past. Right now, he is looking to recruit more PhD students at London Met while expanding his research collaborations with academic and industrial partners at national and international levels. His primary areas of research interests include:
- Dynamics modelling and control in the fields of robotics and autonomous vehicular technology
- Collaborative (cobotics) and rehabilitation robotics
- Soft robotics and robot safety
- Multi-modal sensor fusion
- Intelligent and nonlinear control approaches
- Intelligent systems and sensors
- Functional electrical stimulation
Rescaling Fund, London Metropolitan University: £5,000, "Preliminary investigation on robot assisted waste management/sorting using machine vision and artificial intelligence" (2020-2022)
Connacht Ulster Alliance Bursery, Institute of Technology Sligo, Ireland: €75,000 “Obstacle Detection and Collision Avoidance for Autonomous Cobot Operation in Dynamic Environments”, (2020-2024)
President’s Bursary, Institute of Technology Sligo, Ireland: €75,000 “Modelling and Control of a Light Electric Vehicle for Zero Emission Autonomous Mobility as a Service”, (2020-2024)
- CT7158 Robotic Systems (Autumn) – Module Leader
- CT7159 Sensors, Actuators and Control (Spring) – Module Leader
- CT6056 Applied Robotics (Autumn) – Module Leader
- CT3102 Introduction to Robotics and IoT (Year and Term 2)
- Ahmed, M., Huq, M. S., Ibrahim, B. S., (2019). Effect of Subject Mass with Feedback Linearisation Controller for Induced Sit-to-Stand Regulation. Applications of Modelling and Simulation 3(2), 102–110.
- Ahmed, M., Huq, M. S., Ibrahim, B. S. K., Ahmed, A., (2018). A preliminary evaluation of linear control schemes for FES-assisted movements. Malaysian Journal of Movement, Health & Exercise 7(1).
- Ahmed, M., Huq, M., Ibrahim, B., (2018b). A New Method towards Achieving FES-Induced Movement. International Journal of Integrated Engineering 10(1).
- Ahmed, M., Huq, M. S., Ibrahim, B. S. K. K., (2017). SMC Scheme for FES Aided Restoration of STS Movement in Paraplegics. International Journal of Integrated Engineering 9(4).
- Ahmed, M., Huq, M., Ibrahim, B., (2017). Kinematic Modelling of FES Induced Sit-to-stand Movement in Paraplegia. International Journal of Electrical and Computer Engineering (IJECE) 7(6).
- Alias, N. A., Huq, M. S., Ibrahim, B., Omar, R., (2017b). The Efficacy of State of the Art Overground Gait Rehabilitation Robotics: A Bird’s Eye View. Procedia Computer Science 105, 365–370.
- Hakim, A., Huq, M. S., Shanta, S., Ibrahim, B., (2017). Smartphone Based Data Mining for Fall Detection: Analysis and Design. Procedia Computer Science 105, 46–51.
- Zammar, I., Huq, M. S., Mantegh, I., Yousefpour, A., Ahmadi, M., (Apr. 2017). A Three-Dimensional Transient Model for Heat Transfer in Thermoplastic Composites During Continuous Resistance Welding. Advanced Manufacturing: Polymer and Composites Science 3(1), 32–41.
- Huq, M. S., Forrester, R., Ahmadi, M., Straznicky, P., (Aug. 2015). Magnetic Characterization of Actuators for an Unmanned Aerial Vehicle. IEEE/ASME Transactions on Mechatronics 20(4), 1986–1991.
- Rahman, K. A. A., Ibrahim, B. S. K. K., Huq, M. S., Nasir, N., Ahmad, M. K. I., Sherwani, F., (Nov. 2015). Graphical User Interface Controlled Via Brainwave Signals for Paraplegic Rehabilitation. ARPN Journal of Engineering and Applied Sciences 10(20), 9790–9794.
- Sherwani, F., Ibrahim, B., Huq, M. S., Ahmad, M., Nasir, N., Rahman, K., (Oct. 2015). Rehabilitation System for Paraplegic Patients Using Mind-Machine Interface: A Conceptual Framework. ARPN Journal of Engineering and Applied Sciences 10(19), 8619–8624.
- Zammar, I., Mantegh, I., Huq, M. S., Yousefpour, A., Ahmadi, M., (June 2015). Intelligent Thermal Control of Resistance Welding of Fiberglass Laminates for Automated Manufacturing. IEEE/ASME Transactions on Mechatronics 20(3), 1069–1078.
- Forrester, R., Huq, M. S., Ahmadi, M., Straznicky, P., (Aug. 2014). Magnetic Signature Attenuation of an Unmanned Aircraft System for Aeromagnetic Survey. IEEE/ASME Transactions on Mechatronics 19(4), 1436–1446.
- Huq, M. S., Tokhi, M. O., (Jan. 2013). Development of a novel fully passive treadmill training paradigm for lower limb therapeutic intervention. Applied Bionics and Biomechanics 10(2), 97–111.
- Huq, M. S., Tokhi, M. O., (Mar. 2012a). Genetic algorithms based approach for designing spring brake orthosis - Part I: Spring parameters. Applied Bionics and Biomechanics 9(3), 303–316.
- Huq, M. S., Tokhi, M. O., (Mar. 2012b). Genetic algorithms based approach for designing spring brake orthosis - Part II: Control of FES induced movement. Applied Bionics and Biomechanics 9(3), 317–331.
- Ibrahim, B. S. K. K., Tokhi, M. O., Huq, M. S., Jailani, R., Gharooni, S. C., (May 2011). Fuzzy modelling of knee joint with genetic optimization. Applied Bionics and Biomechanics 8(1), 85–99.
- Ibrahim, B., Tokhi, M., Huq, M., Gharooni, S., (2011c). Optimized Fuzzy Control For Natural Trajectory Based FES-Swinging Motion. International Journal of Integrated Engineering 3(2), 17–23.
- Ibrahim, B., Huq, M., Tokhi, M., Gharooni, S., Jailani, R., Hussain, Z., (2009). Identification of active properties of knee joint using GA optimization. World Academy of Science, Engineering and Technology 55, 441–446.
Dr. Saif Huq
Senior Lecturer in Robotics Engineering
School of Computing and Digital Media