Moath Alsafasfeh, Ph.D.
Assistant Professor
314 Luther H. Foster Hall
Department of Electrical and Computer Engineering
澳门开奖历史记录 Mail: malsafasfeh@tuskegee.edu
Phone: (334) 724-4908
Brief Biography
Dr. Moath Alsafasfeh is an Assistant Professor at 澳门开奖历史记录 (TU), Tuskegee, Alabama. Dr. Alsafasfeh started his work at TU in Fall 2024. He received a Ph.D. in Electrical and Computer Engineering from Western Michigan University in 2017, a M.Sc. in Communication and Computer Engineering from the National University of Malaysia (UKM) in 2011, and a B.Sc. in Computer Engineering from Mutah University in 2009. Dr. Alsafasfeh was an Assistant and Associate professor at Al-Hussein Bin Talal University, Jordan from June 2017 until Aug. 2024, and he was the main supervisor for 5 master theses. He served as a co-PI for two funded research projects from the NATO SPS program a total of $230K, and a co-PI for a Capacity Building Project funded by the Erasmus+ Program in Total $760K.
Education
Ph.D., Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI, USA, 2017
M.Sc., Communication and Computer Engineering, National University of Malaysia (UKM), Bangi, Selangor Malaysia, 2011.
B.Sc., Computer Engineering, Mutah University, Alkarak, Jordan, 2009.
Research Interests
路 Parallel Processing
路 Image Processing
路 Computer Vision
路 Machine Learning
Teaching
EENG 360 Microprocessors System Design
COEG聽410 Computer Hardware Design
EENG 221L Linear Networks and Circuit Lab
Key Publications
1. Rima Abdelhadi, Moath Alsafasfeh, Bilal Alqudah, Encountering distributed denial of service attack utilizing federated software defined network. International Journal of Electrical and Computer Engineering (IJECE), 14(1), 2024.
2. Moath Alsafasfeh, Abdullah Alhasanat, Saud Althunibat, Mohanad Alhasanat, Khaled Matrouk, Ahmad Omar, A Thermal Imaging Model for Roads Cracks Width Detection, International Journal on Communications Antenna and Propagation, 13(3), 2023.
3. Raed Altabeiri, Moath Alsafasfeh, Moahand Alhasanat, Image compression approach for improving deep learning applications, International Journal of Electrical and Computer Engineering (IJECE), 13(5), 2023. 4. Walaa Alshamalat, Moath Alsafasfeh, Abdullah Alhasanat, A Machine Learning Dataset for Enhancing Energy Efficiency in WSN, 2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
5. Moath Alsafasfeh, Zaid A Arida, Omar A Saraereh, Machine Learning-based Optimal Framework for Internet of Things Networks, Computers, Materials & Continua, Vol 71, No. 3. 2022.
6. Moath Alsafasfeh, Bradely Bazuin, Ikhlas Abdel-Qader, Super-linear speedup for real-time condition monitoring using image processing and drones, International Journal of Electrical and Computer Engineering (IJECE), 12 (2), 2022.
7. Moath Alsafasfeh, Zaid A Arida, Omar A Saraereh, Qais Alsafasfeh, Salem Alemaishat, An Optimized Data Fusion Paradigm for WSN Based on Neural Networks, Computers, Materials & Continua, 69 (1), 2021.
8. Mohanad Alhasanat, Moath Alsafasfeh, Abdullah Alhasanat, Saud Althunibat, RetinaNet-Based Approach for Object Detection and Distance Estimation in an Image, International Journal on Communications Antenna and Propagation, 11 (1), 2021.
9. Moath Alsafasfeh, Ikhlas Abdel-Qader, Bradley Bazuin, Qais Alsafasfeh, and Wencong Su. "Unsupervised Fault Detection and Analysis for Large Photovoltaic Systems Using Drones and Machine Vision." Energies 11, no. 9 (2018): 1-18.
10. Moath Alsafasfeh, I. Abdel-Qader and B. Bazuin, 鈥淔ault Detection in Photovoltaic System Using SLIC and Thermal Images,鈥� 8th International Conference on Information Technology (ICIT), Amman, Jordan, 2017.