Scholar
Muhayy Ud Din
Google Scholar ID: vPNmbjAAAAAJ
Research Fellow
Citations & Impact
Citations
457
H-index
12
i10-index
12
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- - PhD thesis on 'Physics-based Motion Planning for Grasping and Manipulation', developing knowledge-oriented physics-based motion planning approaches
- - Seven research articles have already been submitted to top-ranked journals
Research Experience
- - Lecturer at the Department of Computer Science, GC University (2011 to 2012)
- - After PhD, worked as an R&D engineer at ITK System Engineering (BOSCH Group) for three years on projects related to Medical Robotics, Augmented Reality, and Software Testing
- - Joined Khalifa University Abu Dhabi as a PostDoc Research Fellow in July 2022, leading MBZIRC Maritime Grand Challenge-related developmental activities and converting these developments into research articles. Currently involved in co-supervising PhD students in AI-driven task and motion planning, proposal writeups, and international collaborations for research and development activities.
Education
- - BS (Hons.) in Computational Physics from the University of Punjab in 2008
- - MS in Computer Science from GC University Lahore, Pakistan, in 2011
- - PhD in Automatic Control, Robotics, and Computer Vision from the Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 2019. During his PhD, he participated in R&D projects for the Spanish and Catalonian governments and visited other research labs such as the Kavraki Lab at RICE University, USA, and the Institute of Robotics and Mechatronics at the German Aerospace Center as a short-term research scholar.
Background
- - Research Interests: Bringing robots out of the labs and making them capable of performing manipulation tasks robustly and intelligently. Robots should not scare or hesitate to interact with the environment.
- - Research Areas: Task and motion planning using AI-driven techniques; Autonomous navigation in marine environments for environmental monitoring, maritime security, rescue operations, and detecting irregular activities around ports.
Miscellany
- - Strengths: Can quickly adapt to any new tools for handling challenging problems
- - Practical experience working with real robots like ABB YuMi, KUKA-LWR, PAL-TiAGo, etc.
- - Personal blog: https://muhayyuddin.github.io/blogs/index.html
