Publications

Mohammed Elbtity, Peyton Chandarana, and Ramtin Zand, "Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture," (Preprint 2407.08700) Available: https://arxiv.org/abs/2407.08700

J. Seekings, P. Chandarana, M. Ardakani, M. Mohammadi and R. Zand, "Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware," 2024 International Conference on Neuromorphic Systems (ICONS), Arlington, VA, USA, 2024, pp. 71-77, doi: 10.1109/ICONS62911.2024.00018.

P. Chandarana, M. Elbtity, R. F. DeMara, and R. Zand, "MRAM-Based FPGAs: A Survey", in Computer Memory and Data Storage [Working Title]. London, United Kingdom: IntechOpen, 2022 [Online]. Available: https://www.intechopen.com/online-first/84521 doi: 10.5772/intechopen.108212

P. Chandarana, M. Mohammadi, J. Seekings, S. Hendrix and R. Zand, "Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware," 2022 13th International Green and Sustainable Computing Conference (IGSC), 2022, doi: 10.48550/arXiv.2210.05006.

M. Mohammadi, P. Chandarana, J. Seekings, S. Hendrix and R. Zand, "Static hand gesture recognition for American sign language using neuromorphic hardware," IOPScience: Neuromorphic Computing and Engineering, 2022, doi: 10.1088/2634-4386/ac94f3.

M. E. Elbtity, P. S. Chandarana, B. Reidy, J. K. Eshraghian and R. Zand, "APTPU: Approximate Computing Based Tensor Processing Unit," in IEEE Transactions on Circuits and Systems I: Regular Papers, 2022, doi: 10.1109/TCSI.2022.3206262.

P. Chandarana, J. Ou and R. Zand, "An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks," 2021 12th International Green and Sustainable Computing Conference (IGSC), 2021, pp. 1-8, doi: 10.1109/IGSC54211.2021.9651610.

Corbett CF, Combs EM, Chandarana PS, Stringfellow I, Worthy K, Nguyen T, Wright PJ, O'Kane JM. Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study. JMIR Form Res. 2021 Jul 13;5(7):e27327. doi: 10.2196/27327. PMID: 34255669; PMCID: PMC8317037.