Hamza Mouharrar - MEDTECH - Private University

Qualifications: Master of Engineering in Mechatronics and Nanotechnology, University of Waterloo, Canada

Biography

Research Associate and Teaching Assistant

Multidisciplinary engineer with a Master's in Systems Design Engineering from the University of Waterloo, combining expertise in MEMS/NEMS, photonics, and advanced modeling with a strong foundation in machine learning. Experienced in applying supervised and unsupervised learning, neural networks, and time-series analysis to optimize sensor performance and dynamic system behavior. Recently focused on pure AI methods, including quantum machine learning for MEMS applications, aiming to bridge physical systems and intelligent algorithms for high-impact innovation in fields like intelligent sensing and algorithmic trading.

Research Interest

MEMS & NEMS Control Sensors & Actuators Machine Learning

Publications

Rahmanian, S., Mouharrar, H., Abdelrahman, R., Akbari, M., Shama, Y. S., Musselman, K., ... & Abdel Rahman, E. (2025). NEMS generated electromechanical frequency combs. Microsystems & Nanoengineering, 11(1), 8.
Rahmanian, S., Mouharrar, H., Alibakhshi, A., Iqbal, Z., Saucedo‐Mora, L., Montáns, F. J., & Awrejcewicz, J. (2025). Elastomeric Cavity Opto‐Mechanics: Low‐Power Soliton Frequency Combs. Advanced Optical Materials, 13(2), 2402031.
Akbari, M., Mouharrar, H., Crivello, C., Defoort, M., Abdel-Rahman, E., Basrour, S., ... & Muñoz-Rojas, D. (2024). Gas phase growth of metal-organic frameworks on microcantilevers for highly sensitive detection of volatile organic compounds. APL Materials, 12(6).
Mouharrar, H., Rahmanian, S., Abdelrahman, R., S. Shama, Y., Akbari, M., Basrour, S., ... & Abdel-Rahman, E. (2024). Generation of Soliton Frequency Combs in NEMS. Nano Letters, 24(35), 10834-10841.
Shama, Y. S., Rahmanian, S., Mouharrar, H., Abdelrahman, R., Elhady, A., & Abdel-Rahman, E. M. (2024). Unraveling the nature of sensing in electrostatic MEMS gas sensors. Microsystems & Nanoengineering, 10(1), 56.
Gulsaran, A., Azer, B. B., Saritas, R., Kocer, S., Shama, Y. S., Rahmanian, S., ... & Yavuz, M. (2024). High sensitivity, thermal noise-driven aluminum-based resonant MEMS humidity sensor. Sensors and Actuators A: Physical, 378, 115844.
Rahmanian, S., Alibakhshi, A., Mouharrar, H., Benitez, J. M., & Montáns, F. J. (2024). Low-voltage dielectric elastomer actuators by electro-mechanical resonance syntonization. International Journal of Mechanical Sciences, 263, 108758.
Rahmanian, S., Mouharrar, H., Alibakhshi, A., Iqbal, Z., Saucedo-Mora, L., Montans, F. J., & Awrejcewicz, J. (2024). Soliton Frequency Combs in Elastomer Membrane-Cavity Optomechanics. arXiv preprint arXiv:2403.03160.
Mouharrar, H. (2024). Applications of Strongly Coupled Electrostatic NEMS (Master's thesis, University of Waterloo).
Gulsaran, A., Bastug Azer, B., Saritas, R., Kocer, S., S Shama, Y., Rahmanian, S., ... & Yavuz, M. Highly Sensitivity, Self-Actuated Aluminum-Based Resonant Mems Humidity Sensor. Shama, Yasser and Rahmanian, Sasan and Mouharrar, Hamza and Abdelrahman, Rana and Abdel-Rahman, E. and Yavuz, M., Highly Sensitivity, Self-Actuated Aluminum-Based Resonant Mems Humidity Sensor.
Mouharrar, H., Akbari, M., Musselman, K., Muñoz-Rojas, D., Yavuz, M., & Abdel-Rahman, E. (2023, December). Noise-Driven MOF-Coated NEMS Sensors. In 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS) (pp. 187-190). IEEE.
Shama, Y.S., Abdelrahman, R., Arabi, M., Saritas, R., Rahmanian, S., Gulsaran, A., Kocer, S., Elhady, A., Mouharrar, H. and Abdel-Rahman, E.M., 2024. A Comparative Study of Two Types of Bifurcation-Based MEMS Sensors Check for updates. In Advances in Nonlinear Dynamics, Volume III: Proceedings of the Third International Nonlinear Dynamics Conference (NODYCON 2023) (Vol. 3, p. 15). Springer Nature.

Courses

Probability and Statistics MATH 244
Data Analytics CS 434
Data Structure and Algorithms