Dr Muhammad Rabani Mohd Romlay
- Lecturer
Department of Data Science and Artificial Intelligence
- Faculty of Engineering and Technology
Faculty of Engineering and Technology
SDGs Focus
Biography
Dr Muhammad Rabani Mohd Romlay is a dedicated researcher specialises in Deep Learning, Machine Learning, Computer Vision, Object Recognition and Autonomous Robotics. His work often blends intelligent control algorithm -such as fuzzy logic- with real-world robotics application.
In addition to his academic research, he has gained industry experience through roles with several prominent Malaysian organisation such as TNB, LYNAS and MIMOS.
Dr Muhammad is committed to advancing human-centered robotics and AI-driven systems, particularly in healthcare, mobility assistance and safety applications.
Academic & Professional Qualifications
- Doctor of Philosophy (Engineering), IIUM, Gombak (2022)
- Masters of Science (Mechatronics Engineering), IIUM, Gombak (2017)
- Bachelor of Engineering (Mechatronics) (Honours), IIUM, Gombak (2014)
Research Interests
- Object Recognition
- Fuzzy Logic
- Navigation Aid
- Collision Avoidance
Teaching Areas
- Artificial Intelligence & Machine Learning
- Deep Learning
- Programming Principles
- Electric Circuit
- Robotic & Automation System
- Computer Vision
Courses Taught
- Distributed System
Notable Publications
- Modelling and simulation of assisted hospital evacuation using fuzzy-reinforcement learning based modelling approach
IM Abir, A Mohd Ibrahim, SF Toha, MR Mohd Romlay
Neural Computing and Applications 36 (11), 6165-6194, (2024).
- Obstacle avoidance for a robotic navigation aid using fuzzy logic controller-optimal reciprocal collision avoidance (FLC-ORCA)
MR Mohd Romlay, A Mohd Ibrahim, SF Toha, P De Wilde, I Venkat
Neural Computing and Applications 35 (30), 22405-22429, (2023).
- The role of crowd behavior and cooperation strategies during evacuation
A Mohd Ibrahim, I Venkat, P De Wilde, MR Mohd Romlay, A Bahamid
Simulation 98 (9), 737-751, (2022).
- Novel CE-CBCE feature extraction method for object classification using a low-density LiDAR point cloud
MR Mohd Romlay, A Mohd Ibrahim, SF Toha, P De Wilde, I Venkat
Plos one 16 (8), e0256665, (2021).
- Methodologies and evaluation of electronic travel aids for the visually impaired people: a review
MRM Romlay, SF Toha, AM Ibrahim, I Venkat
Bulletin of Electrical Engineering and Informatics 10 (3), 1747-1758, (2021).
- Hybrid social force-fuzzy logic evacuation simulation model for multiple exits
AM Ibrahim, M Saifullah, MRM Romlay, I Venkat, I Ibrahim
2019 7th International Conference on Mechatronics Engineering (ICOM), 1-5, (2019)
- Two-wheel Balancing Robot; Review on Control Methods and Experiments
MRM Romlay, MI Azhar, SF Toha, MM Rashid
International Journal of Recent Technology and Engineering, (2019).
- Rainfall-Runoff Model Based on ANN with LM, BR and PSO as Learning Algorithms
MRM Romlay, MM Rashid, SF Toha, AM Ibrahim
International Journal of Recent Technology and Engineering, (2019).
- Development of Particle Swarm Optimization Based Rainfall-Runoff Prediction Model for Pahang River, Pekan
MRM Romlay, MM Rashid, SF Toha
2016 International Conference on Computer and Communication Engineering, (2016).
- Development of electronic rain gauge system
MM Rashid, MRM Romlay, MM Ferdaus, A Al-Mamun
International Journal of Electronics and Electrical Engineering 3 (4), 245-249, (2015).
Achievements & Accolades
Gold Medalist
- M.R.M. Romlay (2021), RoVision; Navigation Aid for Visually Impaired People with Social Distancing Measures using CE-CBCE. Robot Design Competition, IEEE Tencon, New Zealand, 2021.
Silver Medalist
- S. F. Toha, H. M. Yusuf, N. N. W. N. Hashim, N. Z. Azlan, Z. Z. Abidin, M. R. M. Romlay. RoBlind; Assistive Device for Visually Impaired Person Workshop, Exhibition and Competition Related to the Person with Disability and Elderly (ORKID WEC), UM, 2017.
Bronze Medalist
- M. M. Rashid, M.R.M. Romlay. Electronic Rain Gauge System. International Research, Innovation and Exhibition (IRIE), IIUM, 2014.
- Business Pitching
M. M. Rashid, M.R.M. Romlay. Electronic Rain Gauge System. International Research, Innovation and Exhibition (IRIE), IIUM, 2014.
Professional Associations
- Graduate Engineer
- Board of Engineers Malaysia (BEM)