Mohamed Omar Mohamed Elsayed

Assistant Professor at Mechatronics Engineering

Career Information

Academic Information

Brief

Dr. Mohamed Omar Elshalakani is an Assistant Professor at the Department of Mechatronics, Faculty of Engineering, Ain Shams University. He holds degrees in Mechatronics Engineering, Information and Automation Engineering, and Mechanical Engineering. His research interests span a wide range of robotics and automation domains, including intelligent control systems, optimal and robust control, reinforcement learning, machine learning, deep learning, computer vision, visual servoing, artificial sensing, bio-inspired robotics, soft robotics, multi-agent systems, fault-tolerant control, digital twins, real-time systems, and embedded IoT-based control platforms. He is particularly interested in applying AI-driven techniques such as PPO-based reinforcement learning and generative AI to robotics education, predictive maintenance, behavior analysis, and autonomous decision-making. Dr. Elshalakani has contributed to national and international research projects, collaborated with academic and industrial partners, and supervised multiple graduation projects and postgraduate theses in robotics, control, and automation.

Awards

- Associate Fellowship, Higher Education Academy (HEA), UK

Articles

- Elshalakani, M., Muthuramalingam, M., & Bruecker, C. (2020). A deep-learning model for underwater position sensing of a wake’s source using artificial seal whiskers. Sensors, 20(12), 3522.
- Elsayed, A. M., Elshalakani, M., Hammad, S. A., & Maged, S. A. (2024). Decentralized fault-tolerant control of multi-mobile robot system addressing LiDAR sensor faults. Scientific Reports, 14(1), 25713.
- Elshalakani, M., & Bruecker, C. (2020). Simulation of self-coordination in a row of beating flexible flaplets for micro-swimmer applications: Model and experiment study. Journal of Fluids and Structures, 94, 102923.
- Elshalakani, M., & Brücker, C. H. (2018). Spontaneous synchronization of beating cilia: An experimental proof using vision-based control. Fluids, 3(2), 30.
- Khayrat, A., Malak, P., Victor, M., Ahmed, S., Metawie, H., Saber, V., & Elshalakani, M. (2022). An intelligent surveillance system for detecting abnormal behaviors on campus using YOLO and CNN-LSTM networks. In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC).
- Rabie, O., & Elshalakani, M. (2024). Feedback Linearization for Robust Deadzone Compensation: Application to LQR-Controlled Cart-Pole System.
- Abdelfattah, H. S., Awad, M. I., Elshalakani, M., & Maged, S. A. (2022). Arabic Multi-Modal System Based on Voice and Machine Vision. In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC).
- Rabie, O., Hassabou, A., Emad, N., & Elshalakani, M. (2024). Kalman Filter-Augmented Time-Optimal Control for Granular Flow Weighing Systems with Noisy Measurement Signals. SSRN Preprint.

Publications

1. Elshalakani, M., Brücker, C., " Simulation of self-coordination in a row of beating flexible flaplets for micro-swimmer applications: Model and experiment study ", Journal of Fluids and Structures, 2020
2. Elshalakani, M., Brücker, C.H., " Spontaneous synchronization of beating cilia: An experimental proof using vision-based control ", Fluids, 2018
3. Abdelfattah, H.S., Awad, M.I., Elshalakani, M., Maged, S.A., " Arabic Multi-Modal System Based on Voice and Machine Vision ", MIUCC 2022 - 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference, 2022
4. Mohamed Elshalakani, " An intelligent Surveillance System for Detecting Abnormal Behaviors on Campus using YOLO and CNN-LSTM Networks ", 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2022
5. Mohamed Elshalakani, Muthukumar Muthuramalingam, Christoph Bruecker, " A Deep-Learning Model for Underwater Position Sensing of a Wake’s Source Using Artificial Seal Whiskers ", Sensors, 2020

Research Projects

- STDF project related to urban and smart systems (e.g., CITY Pixels)