Staff

  • Mohammad Okour, Ph.D

Mohammad Okour, Ph.D

Assistant Professor

Abu Dhabi Campus

Education

  • BSc in Mechanical Engineering, Jordan University of Science & Technology (JUST), Jordan
  • MSc in Mechanical-Mechatronics Engineering, Jordan University of Science & Technology (JUST), Jordan
  • 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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

  1. 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.
  2. 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.
  3. 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

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