Tamador Mohaidat received a B.Sc. degree in Computer Engineering from Yarmouk University, Jordan, in 2010 and an M.Sc. degree in Computer Engineering from the Department of Electrical and Computer Engineering at the University of Mississippi, USA, in 2024. She is pursuing a Ph.D. in Computer Engineering at the University of Mississippi. She is a Research and Teaching Assistant in the Electrical and Computer Engineering Department. Her research interests include Very Large-Scale Integration (VLSI), artificial intelligence, machine learning, and hardware accelerators.
Publications
T. Mohaidat and K. Khalil, "A Survey on Neural Network Hardware Accelerators," in IEEE Transactions on Artificial Intelligence, vol. 5, no. 8, pp. 3801-3822, Aug. 2024, doi: 10.1109/TAI.2024.3377147.
K. Khalil, T. Mohaidat, M. Darwich, A. Kumar and M. Bayoumi, "An Efficient Hardware Design of CoAP Protocol for The Internet of Things," 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS), Richardson, TX, USA, 2024, pp. 1-5, doi: 10.1109/DCAS61159.2024.10539896.
K. Khalil, T. Mohaidat, M. Darwich, A. Kumar and M. Bayoumi, "Efficient Hardware Implementation of Artificial Neural Networks on FPGA," 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), Abu Dhabi, United Arab Emirates, 2024, pp. 233-237, doi: 10.1109/AICAS59952.2024.10595867.
T. Mohaidat, Z. Niu, A. Syed and K. Khalil, "Enhancing Hardware Neural Networks with Self-Healing Perceptron Design," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-5, doi: 10.1109/ICMI60790.2024.10585684.
Kasem Khalil, MD Rahat Kader Khan, Tamador Mohaidat, Magdy Bayoumi, “Enhanced Heart Attack Detection with Neural Networks.” In 2024 International Conference on Intelligent Systems, Blockchain, and Communication Technologies, (ISBCom). Springer, 2024. [< < PDF > >]
T. Mohaidat and K. Khalil, "Advancements in Perceptron Hardware for Efficient Implementation in Artificial Neural Network," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-2, doi: 10.1109/ICMI60790.2024.10585788.
K. Khalil, T. Mohaidat, M. Darwich, A. Kumar and M. Bayoumi, "Efficient Deep Learning Approach for Breast Cancer Detection," 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, United Kingdom, 2024, pp. 1-5, doi: 10.1109/COINS61597.2024.10622146.
T. Mohaidat, A. Syed, M. Alqodah and K. Khalil, "Efficient FPGA Implementation of Feedback Perceptron for Hardware Acceleration," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-5, doi: 10.1109/ICMI60790.2024.10585825.
K. Khalil, T. Mohaidat and M. Bayoumi, "Low-Cost Hardware Design Approach for Long Short-Term Memory (LSTM)," 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 2023, pp. 1-5, doi: 10.1109/ISCAS46773.2023.10182030.
K. Khalil, T. Mohaidat, A. Sherif and M. Bayoumi, "Hierarchical Fault-Tolerant NoC Architecture for Reliable Communication," 2024 IEEE 17th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Kuala Lumpur, Malaysia, 2024, pp. 354-360, doi: 10.1109/MCSoC64144.2024.00065.