Dr Mohamed Abdelwahab (Publication name: Mohamed Heshmat) is leading the Marine Robotics Autonomy Research at the Khalifa University Robotics Research Centre, where he spearheads the development of cutting-edge technologies that drive the autonomy of underwater robots. His primary focus is creating advanced localization and navigation systems that enable these robots to operate independently in challenging marine environments.
With a robust background in robotics and artificial intelligence, Mohamed specializes in developing sophisticated computer vision and deep learning models for underwater inspection tasks. His work integrates state-of-the-art AI techniques to enhance the robots' ability to perform precise and reliable inspections, ensuring operational efficiency and safety in various underwater applications.
Mohamed received his Ph.D. in Robotics in 2015 through a joint program between the Egypt-Japan University of Science and Technology (E-JUST), Egypt, and Osaka University, Japan. He has served as a Research Fellow at the University of Lincoln, the University of Surrey, and the University of the West of England, Bristol, UK, where he contributed significantly to advancements in industrial robotic inspection, elder monitoring systems, and offsite logistics AI platforms. He has extensive experience developing computer vision and robotics solutions for industry applications.
In addition to his research endeavors, Mohamed completed the graduate certificate of learning and teaching at the University of Surrey, UK. He is a Fellow of the Higher Education Academy (HEA), UK, reflecting his commitment to excellence in teaching and learning. He is dedicated to mentoring the next generation of engineers and researchers, fostering an environment of innovation and academic excellence.
Mohamed has published multiple papers in renowned conferences and journals and has been recognized with several honors and awards for his research and academic achievements. He aims to leverage his expertise and passion for AI and robotics to solve real-world problems and create positive impacts across diverse applications.
Senior Computer Vision Engineer June 2023 – May 2024, Mimetrik Solutions (DIGITAL INNOVATION CLINICAL SOLUTIONS), Leeds, UK
o Developed precision-focused computer vision and deep learning solutions for digital dentistry.
o Spearheaded a web-based deep learning application, optimising the digital dentistry workflow.
o Designed and implemented automated solutions for efficient dataset operations.
Computer Vision Engineer Feb 2022 – June 2023, GroundWOW (Autonomous Full-colors Ground Printing Robots), Stockport, UK
o Engineered and validated visual navigation systems, elevating the performance of ground printing robots.
o Conducted comprehensive market research for sensor selection, optimising the robots' sensing capabilities.
o Led 3D-Lidar robot localisation project in challenging environments, pushing robotic capabilities
Research Fellow in Offsite Logistics and Artificial Intelligence July 2020 – Feb 2022, Centre for Architecture and Built Environment Research, Faculty of Environment and Technology, UWE Bristol, UK
o Engineered an innovative AI-cloud-IoT platform for offsite logistics, optimising efficiency, and connectivity.
o Integrated Building Information Modelling (BIM) and SLAM algorithm, ensuring precise indoor robot navigation and addressable mapping.
o Optimised asset delivery routes considering carbon, cost, and disruption to road users.
o Developed a mobile app for streamlined asset data scanning
Research Fellow in Industrial Robotic Inspection Jan 2018 – July 2020, Surrey Space Centre, School of Electronics and Computer Science, University of Surrey, UK
o Designed and developed an inspection robot tailored for remote operation of unmanned industrial plants.
o Implemented deep learning for equipment detection, valve state detection, and meter reading.
o Contributed to the design of the Sixth Sense (6S) framework for proactive monitoring and control of plants.
o Supervised a final year research project (title: RGB-D Simultaneous Localisation and Mapping)
o Designed and evaluated level 7 MSc. Students’ module with positive feedback from the supervisors
o Accomplished observed microteaching sessions with positive feedback and valuable suggestions
Research Fellow in Elderly-Monitor Robotic System Nov 2016 – Nov 2017, Lincoln Centre for Autonomous System School of Computer Science, University of Lincoln, UK
o Developed active-perception-based human detection for health monitoring robotic system.
o Delivered invited talk for computer science MSc. Students on Robot Vision Applications
Lecturer in Computer Science Feb 2015 – Nov 2016, Department of Computer Science, Faculty of Science, Sohag University, Egypt
o Taught undergraduate and postgraduate modules: programming – Computer Vision – Artificial Intelligence
o Supervised three computer science MSc. Students in computer vision applications
