Dr Muhammad Faizan Mysorewala
Associate Professor
Office: 22/425
Phone: 966-13-860-7786
Fax: 966-13-860-2965
Email: mysorewala(at)kfupm.edu.sa
Education
- Ph.D. (Electrical Engineering), The University of Texas at Arlington, Arlington, TX, USA, 2008
- M.S. (Electrical Engineering), The University of Texas at Arlington, Arlington, TX, USA, 2002
- B.E. (Electrical Engineering), NED University of Engineering & Technology, Karachi, Pakistan, 1999
Teaching
- CIE 301 Numerical Methods
- CIE 305 Linear Control Systems
- CIE 410 Automation Devices and Electronics
- CIE 412 Mechatronics
- CIE 422 Intelligent Controllers
- CIE 464 Industrial Internet of Things
- CIE 482 Path Planning and Navigation for Mobile Robots
- AE 581 Introduction to Robotics and Autonomous Systems
- SCE 516 Linear Estimation
- SCE 545 Instrumentation and Control Network
- SCE 548 Industrial Internet of Things
- SCE 562 Intelligent Systems and Control
- SCE 567 AI for Process Control
- SCE 576 Path Planning and Navigation for Mobile Robots
- SCE 578 Human-Robot Interaction
- SCE 672 Advanced Robotics
Research Interests
- Mobile Robot Navigation
- Intelligent and Adaptive Control
- Distributed Sensing and Perception
- Human-Robot Interaction
- Multi-Robot Coordination
- Infrastructure and Environmental Monitoring
Current Research
- Visual Loco-Manipulation for Quadrupedal Robots in Human-Robot Interaction
- Adaptive and Intelligent Control Strategies for Bipedal Robots
- Socially Aware Multi-Robot Navigation Using Deep Reinforcement Learning
- Robust Decision-Making and Maneuver Control for Autonomous Vehicles in Mixed Traffic
- Agile UAV Flight: Trajectory Planning, Control, and Tracking for Dynamic Environments
- AI-Driven Distributed Sensor Networks for Smart Water Pipeline Monitoring in Cognitive Cities
Selected Publications
- MH. Rahman, M. F. Mysorewala, M. M. Gulzar, S. El-Ferik, and T. S. Haque, “Loco-Manipulation with Quadruped Robots: Modeling, Task Taxonomy, and Control Methods - A Critical Review,” (Under Review).
- I. Kabir and M. F. Mysorewala, “Socially Aware Navigation for Mobile Robots: A Survey on Deep Reinforcement Learning Approaches,” Applied Intelligence (Accepted for Publication).
- Kabir, I. K., Mysorewala, M. F., Osais, Y. I., & Nasir, A. (2025). Learning to Navigate in Mixed Human–Robot Crowds via an Attention-Driven Deep Reinforcement Learning Framework. Machine Learning and Knowledge Extraction, 7(4), 145. https://doi.org/10.3390/make7040145.
- Ridwan, W., & Mysorewala, M. F. (2025). Survey of Bipedal Robot Control: A Functional Classification by Control Objectives. Journal of Robotics and Control (JRC), 6(6), 2676–2696. https://doi.org/10.18196/jrc.v6i6.27506.
- Alshakhs, A., Mysorewala, M., & Nasir, A. (2025). Coordinated multi lane-changing on highways for connected and automated vehicles in mixed traffic. Expert Systems with Applications, 286, 127890. https://doi.org/10.1016/j.eswa.2025.127890.
- Surur, K. R., Alshakhs, A., & Mysorewala, M. F. (2024). Merging maneuver technique for an adaptive autonomous platoon in multi-lane highways. IEEE Access, 12, 157761–157774. https://doi.org/10.1109/ACCESS.2024.3487110.
- Mysorewala, M. F., Virk, M. U. A., Syed, M. N., Saif, A.-W., Cheded, L., Shafiq, S., & Sattar, K. (2024). A novel optimized vibration-based energy harvester for leak detection in wall-mounted water pipelines. Water Resources Management, 1–21. https://doi.org/10.1007/s11269-024-04008-2.
- Alshakhs, A. N., Mysorewala, M. F., Saif, A.-W. A., & Alshehri, K. (2023). A novel algebraic inverse kinematics-based approach to gaze control in humanoid robots. IEEE Access, 11, 50350–50363. https://doi.org/10.1109/ACCESS.2023.3277967.
- Virk, M. U. A., Mysorewala, M. F., Cheded, L., & Aliyu, A. (2022). Review of energy harvesting techniques in wireless sensor-based pipeline monitoring networks. Renewable and Sustainable Energy Reviews, 157, 112046. https://doi.org/10.1016/j.rser.2021.112046.
- Virk, M. U. A., Mysorewala, M. F., Cheded, L., & Ali, I. M. (2020). Leak detection using flow-induced vibrations in pressurized wall-mounted water pipelines. IEEE Access, 8, 188673–188687. https://doi.org/10.1109/ACCESS.2020.3032319.
- Kamel, M. A., El-Katatny, S., Mysorewala, M. F., Al-Majed, A., & Elshafei, M. (2018). Adaptive and real-time optimal control of stick-slip and bit wear in autonomous rotary steerable drilling. ASME Transactions Journal of Energy Resources Technology, 140(3), 032908. https://doi.org/10.1115/1.4038131.
- Saqib, N. U., Mysorewala, M. F., & Cheded, L. (2017). A multiscale approach to leak detection and localization in water pipeline network. Water Resources Management, 31(12), 3829–3842. https://doi.org/10.1007/s11269-017-1709-3.
- Nasir, M. T., Mysorewala, M., Cheded, L., Siddiqui, B., & Sabih, M. (2014, February). Measurement error sensitivity analysis for detecting and locating leak in pipeline using ANN and SVM. 11th International Multi-Conference on Systems, Signals & Devices (SSD) (pp. 1–4). https://doi.org/10.1109/SSD.2014.6808847.
- Mysorewala, M. F., & Popa, D. O. (2009). Multi-scale adaptive sampling with mobile agents for mapping of forest fires. Journal of Intelligent and Robotic Systems, 54(4), 535–565. https://doi.org/10.1007/s10846-008-9246-1.
- Popa, D. O., Mysorewala, M. F., & Lewis, F. L. (2009). Deployment algorithms and indoor experimental vehicles for studying mobile wireless sensor networks. International Journal of Sensor Networks, 6(1), 28–43. https://doi.org/10.1504/IJSNet.2009.028023.
- Popa, D. O., Mysorewala, M. F., & Lewis, F. L. (2006, October). EKF-based adaptive sampling with mobile robotic sensor nodes. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2451–2456). https://doi.org/10.1109/IROS.2006.281687.
Book
- Koushil Sreenath, Muhammad F. Mysorewala, Dan O. Popa, Frank L. Lewis, “Adaptive Sampling with Mobile WSN”, IET Press, Feb-2011. https://doi.org/10.1049/PBCE073E.