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Kian Hamedani
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2020 – today
- 2023
- [j8]Collin Farquhar, Swatantra Kafle, Kian Hamedani, Anu Jagannath, Jithin Jagannath:
Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks. Comput. Networks 222: 109489 (2023) - 2022
- [c5]Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath:
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. WiseML@WiSec 2022: 51-56 - [i2]Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath:
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. CoRR abs/2204.04507 (2022) - 2021
- [j7]Kian Hamedani, Lingjia Liu, Yang Yi:
Energy Efficient MIMO-OFDM Spectrum Sensing Using Deep Stacked Spiking Delayed Feedback Reservoir Computing. IEEE Trans. Green Commun. Netw. 5(1): 484-496 (2021) - [c4]Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Cindy Yi:
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. WiseML@WiSec 2021: 13-18 - [i1]Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Yi:
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. CoRR abs/2106.03209 (2021) - 2020
- [b1]Kian Hamedani:
Energy Efficient Deep Spiking Recurrent Neural Networks: A Reservoir Computing-Based Approach. Virginia Tech, Blacksburg, VA, USA, 2020 - [j6]Kian Hamedani, Lingjia Liu, Shiyan Hu, Jonathan D. Ashdown, Jinsong Wu, Yang Yi:
Detecting Dynamic Attacks in Smart Grids Using Reservoir Computing: A Spiking Delayed Feedback Reservoir Based Approach. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 253-264 (2020) - [c3]Kian Hamedani, Lingjia Liu, Shiya Liu, Haibo He, Yang Yi:
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing. AAAI 2020: 1292-1299
2010 – 2019
- 2018
- [j5]Chenyuan Zhao, Kian Hamedani, Jialing Li, Yang Yi:
Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 38-50 (2018) - [j4]Kian Hamedani, Lingjia Liu, Rachad Atat, Jinsong Wu, Yang Yi:
Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks. IEEE Trans. Ind. Informatics 14(2): 734-743 (2018) - [j3]Jialing Li, Lingjia Liu, Chenyuan Zhao, Kian Hamedani, Rachad Atat, Yang Yi:
Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing. IEEE Trans. Sustain. Comput. 3(2): 112-125 (2018) - [c2]Kangjun Bai, Jialing Li, Kian Hamedani, Yang Yi:
Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology. DAC 2018: 166:1-166:6 - 2017
- [c1]Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi:
Analog hardware implementation of spike-based delayed feedback reservoir computing system. IJCNN 2017: 3439-3446 - 2016
- [j2]Kian Hamedani, Zahra Bahmani, Amin Mohammadian:
Spatio-temporal filtering of thermal video sequences for heart rate estimation. Expert Syst. Appl. 54: 88-94 (2016) - [j1]Kian Hamedani, Seyyed Ali Seyyedsalehi, Reza Ahamdi:
Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks. Neural Comput. Appl. 27(6): 1761-1769 (2016)
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