Reservoir computing meets smart grids: Attack detection using delayed feedback networks K Hamedani, L Liu, R Atat, J Wu, Y Yi IEEE Transactions on Industrial Informatics 14 (2), 734-743, 2017 | 141 | 2017 |
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach K Hamedani, L Liu, S Hu, J Ashdown, J Wu, Y Yi IEEE Transactions on Emerging Topics in Computational Intelligence, 2019 | 44 | 2019 |
Spatio-temporal filtering of thermal video sequences for heart rate estimation K Hamedani, Z Bahmani, A Mohammadian Expert Systems with Applications 54, 88-94, 2016 | 29 | 2016 |
Analog hardware implementation of spike-based delayed feedback reservoir computing system J Li, C Zhao, K Hamedani, Y Yi 2017 International Joint Conference on Neural Networks (IJCNN), 3439-3446, 2017 | 27 | 2017 |
Analog spike-timing-dependent resistive crossbar design for brain inspired computing C Zhao, K Hamedani, J Li, Y Yi IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2017 | 25 | 2017 |
Enabling sustainable cyber physical security systems through neuromorphic computing J Li, L Liu, C Zhao, K Hamedani, R Atat, Y Yi IEEE Transactions on Sustainable Computing 3 (2), 112-125, 2017 | 24 | 2017 |
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. K Hamedani, L Liu, S Liu, H He, Y Yi AAAI, 1292-1299, 2020 | 20 | 2020 |
Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology K Bai, J Li, K Hamedani, Y Yi Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 20 | 2018 |
Energy efficient MIMO-OFDM spectrum sensing using deep stacked spiking delayed feedback reservoir computing K Hamedani, L Liu, Y Yi IEEE Transactions on Green Communications and Networking 5 (1), 484-496, 2020 | 17 | 2020 |
Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks K Hamedani, SA Seyyedsalehi, R Ahamdi Neural Computing and Applications 27, 1761-1769, 2016 | 14 | 2016 |
Mr-inet gym: Framework for edge deployment of deep reinforcement learning on embedded software defined radio J Jagannath, K Hamedani, C Farquhar, K Ramezanpour, A Jagannath Proceedings of the 2022 ACM Workshop on Wireless Security and Machine …, 2022 | 7 | 2022 |
The Novel Applications of Deep Reservoir Computing in Cyber-Security and Wireless Communication K Hamedani, Z Zhou, K Bai, L Liu Intelligent System and Computing, 2019 | 7 | 2019 |
Adversarial classification of the attacks on smart grids using game theory and deep learning K Hamedani, L Liu, J Jagannath, Y Yi Proceedings of the 3rd ACM Workshop on Wireless Security and Machine …, 2021 | 5 | 2021 |
Marconi-rosenblatt framework for intelligent networks (mr-inet gym): For rapid design and implementation of distributed multi-agent reinforcement learning solutions for … C Farquhar, S Kafle, K Hamedani, A Jagannath, J Jagannath Computer Networks 222, 109489, 2023 | 4 | 2023 |
Energy efficient deep spiking recurrent neural networks: A reservoir computing-based approach K Hamedani Virginia Tech, 2020 | 3 | 2020 |
Video-based face recognition using manifold learning by neural networks K Hamedani, SAS Salehi 20th Iranian Conference on Electrical Engineering (ICEE2012), 789-793, 2012 | 3 | 2012 |
The Novel Applications of Deep Reservoir Computing in Cyber-Security and Wireless K Hamedani, Z Zhou, K Bai, L Liu Intelligent System and Computing, 95, 2020 | | 2020 |
Improving the quality of images synthesized by discrete cosine transform regression-based method using principle component analysis K Hamedani Annals of Military and Health Sciences Research 12 (2), 2014 | | 2014 |
Multi-Agent Reinforcement Learning for Energy Harvesting Two-Hop Communications With a Partially Observable System State A Ortiz, T Weber, A Klein, B Yang, D Wu, H Wang, Y Gao, R Wang, M Guo, ... | | |
Emerging Applications of Reservoir Computing in Cyber Physical Systems Security K Hamedani | | |