Conferences
[C7] Y Ni, D Abraham, M Issa, Y Kim, P Mercati, M Imani, “Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing.”, Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2023.
[C6] J Wang, H Chen, M Issa, S Huang, M Imani, “Late Breaking Results: Scalable and Efficient HyperDimensional Computing for Network Intrusion Detection.”, Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC), 2023.
[C5] H Amrouch, PR Genssler, M Imani, M Issa, et al. “Beyond von Neumann Era: Brain-inspired HyperDimensional Computing to the Rescue.”, Proceedings of the 28th Asia and South Pacific Design Automation Conference (ASP-DAC), 2023.
[C4] Y Ni, D. Abraham, M Issa, Y Kim, P Mercati, M Imani, “Value-based Reinforcement Learning using Efficient HyperDimensional Computing.”, Proceedings of the IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2023.
[C3] M Issa, S Shahhosseini, Y Ni, T Hu, D Abraham, A Rahmani, N Dutt, M Imani, “Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks”, Proceedings of the 40th IEEE International Conference on Computer Design (ICCD), 2022.
[C2] H Chen, M Issa, Y Ni, M Imani, “Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning.”, Proceedings of the IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2022.
[C1] Y Ni, M Issa, D Abraham, M Imani, X Yin, M Imani, “HDPG: Hyperdimensional Policy-based Reinforcement Learning for Continuous Control.”, Proceedings of the IEEE/ACM Design Automation Conference (DAC), 2022.
Journals
[J3] MA Issa, H Chen, J Wang, M Imani, “CyberRL: Brain-Inspired Reinforcement Learning for Efficient Network Intrusion Detection”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) , 2025.
[J2] Y Ni, D Abraham, M Issa, A Hernandez-Cano, M Imani, P Mercati, “Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning”, IEEE Access, 2024.
[J1] P Poduval, M Issa, F Imani, C Zhuo, X Yin, H Najafi, M Imani, “Robust In-Memory Computing with Hyperdimensional Stochastic Representation”, IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2021. (invited paper)
Patents
[1] Information and interaction management in a central database system. Inventors: Peter Sugimura, Karlotcha Hoa, Benjamin Paik, Sarah Lippitt, Mariam Issa [US11556982B2]
Research Talks
[4] M Issa, M Imani, “Applying Brain-Inspired Reinforcement Learning to IOT Devices for Security”, Semiconductor Research Corporation (SRC) TECHCON 2023: Security – Applications and Algorithms.
[3] M Issa, M Imani, “Hyperdimensional Computing Solutions for Cybersecurity Detection”, Semiconductor Research Corporation (SRC) 2023 Hardware Security Annual Review.[pdf][poster]
[2] M Issa, M Imani, “Hyperdimensional Policy-based Reinforcement Learning for Continuous Control”, GOMACTech 2023.[pdf]
[1] M Issa, M Imani, “Efficient and Robust Brain-Inspired Reinforcement Learning”, Semiconductor Research Corporation (SRC) TECHCON 2022: Sustainability-Energy Efficiency.[pdf]