Education
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BSc in Mechanical Engineering, Jordan University of Science & Technology (JUST), Jordan
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MSc in Mechanical-Mechatronics Engineering, Jordan University of Science & Technology (JUST), Jordan
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PhD in Mechanical Engineering, University of Nebraska-Lincoln, USA
Research Interests
- MEMS
- Reservoir Computing
- Sensors and Actuators
- Machine Learning
- Dynamics and Vibrations
- Robotics & AI
- Control Systems
- 3D Printing
Selected Publications
- Al Zubi, A., Megdadi, M., Chen, Y., Okour, M., Al Fayad, M., Mohaidat, S., Lin, D. and Alsaleem, F., 2026. Hysteresis-aware MEMS neuromorphic networks for embedded sensing and computation. Microsystems & Nanoengineering, 12(1), p.254.
- Mohaidat, S., Okour, M., Al Fayad, M. and Alsaleem, F., 2026. High-Frequency Coupled-Resonator CMUT with Stepped Cavity for Enhanced Sensitivity and Bandwidth in Acoustic Emission Detection. Metrology, 6(2), p.29.
- Okour, M., Alkhalil, M., Al Fayad, M., Bak, J., James, K.R., Mohaidat, S., Liu, X., Alsaleem, F., Hempel, M., Sharif-Kashani, H. and Alahmad, M., 2026. Efficient Battery State of Health Estimation Using Lightweight ML Models Based on Limited Voltage Measurements. Journal of Low Power Electronics and Applications, 16(2), p.16.
- Okour, M., Nikfarjam, H., Al Fayad, M., Tafti, F.F., Takallou, M.A., Pipinos, I.I., Pourkamali, S., Myers, S., & Alsaleem, F. (2025). A MEMS Network Operating as a Reservoir Computer to Classify Peripheral Artery Disease Signal from a Healthy Signal. Sensors and Actuators A: Physical, p.116318.
- Mohaidat, S., Nikfarjam, H., Okour, M., Megdadi, M., Al Fayad, M., Pourkamali, S., & Alsaleem, F. (2025). A large-stroke thermomechanical MEMS actuator with lever amplification for helium detection. Sensors and Actuators A: Physical, p.117091.
- Mohaidat, S., Okour, M., & Alsaleem, F. (2025). A sensing material-free and simple readout MEMS sensor for detecting helium. Journal of Micromechanics and Microengineering, 35(2), p.025013.
- Nikfarjam, H., Megdadi, M., Okour, M., Pourkamali, S., & Alsaleem, F. (2023). Energy efficient integrated MEMS neural network for simultaneous sensing and computing. Communications Engineering, 2(1), p.19.
- Nikfarjam, H., Megdadi, M., Okour, M., Pourkamali, S., & Alsaleem, F. (2023). Theoretical and Experimental Investigation of Using Multidegree of Freedom Electrostatically Actuated Microstructures in Performing Classification Problems. IEEE Sensors Journal, 23(11), pp.12049–12057.
- Bataineh, A., Batayneh, W., & Okour, M. (2021). Intelligent control strategies for three degree of freedom active suspension system. International Review of Automatic Control, 14(1), pp.17–27.
Conferences
- Okour, M., Megdadi, M., Fayad, M.A., Zubi, A.A., Mohaidat, S., & Alsaleem, F. (2025). A Novel MEMS Reservoir Computing Approach for Classifying Human Acceleration Activity Signal. Frontiers in Biomedical Devices (Vol. 88735, p. V001T01A002). ASME.
- Okour, M., Megdadi, M., Nikfarjam, H., Pourkamali, S., & Alsaleem, F. (2022). A Small MEMS Neural Network to Classify Human Sitting and Standing Activities. ASME IDETC/CIE 2022 (Vol. 86298, p. V008T08A012). ASME.
- Megdadi, M., Nikfarjam, H., Okour, M., Pourkamali, S., & Alsaleem, F. (2022). A Three Degree of Freedom Model Approach to Enable a MEMS-Based Neural Computing Unit. ASME IDETC/CIE 2022 (Vol. 86298, p. V008T08A011). ASME.
Teaching Courses
- Statics
- Smart Sensors
- Dynamics
- Classical Control
- Optimal Control
- Engineering Math
Memberships
Jordanian Engineers Association