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Low Power and Trusted Machine Learning.

A. Sasan, Q. Zu, Y. Wang, J. sun Seo, and T. Mohsenin. ACM Great Lakes Symposium on VLSI, page 515. ACM, (2018)

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A 64-core platform for biomedical signal processing.J. Bisasky, H. Homayoun, F. Yazdani, and T. Mohsenin. ISQED, page 368-372. IEEE, (2013)Low-complexity FPGA implementation of compressive sensing reconstruction.J. Stanislaus, and T. Mohsenin. ICNC, page 671-675. IEEE Computer Society, (2013)SVM-based real-time hardware Trojan detection for many-core platform.A. Kulkarni, Y. Pino, and T. Mohsenin. ISQED, page 362-367. IEEE, (2016)CS-Based Secured Big Data Processing on FPGA.A. Kulkarni, A. Jafari, C. Shea, and T. Mohsenin. FCCM, page 201. IEEE Computer Society, (2016)Application of Compressive Sensing to Gravitational Microlensing Experiments.A. Korde-Patel, R. Barry, and T. Mohsenin. Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 67-70. Cambridge University Press, (2016)AsAP: An Asynchronous Array of Simple Processors.Z. Yu, M. Meeuwsen, R. Apperson, O. Sattari, M. Lai, J. Webb, E. Work, D. Truong, T. Mohsenin, and B. Baas. J. Solid-State Circuits, 43 (3): 695-705 (2008)Energy Efficient Convolutional Neural Networks for EEG Artifact Detection.M. Khatwani, M. Hosseini, H. Paneliya, T. Mohsenin, W. Hairston, and N. Waytowich. BioCAS, page 1-4. IEEE, (2018)A low power seizure detection processor based on direct use of compressively-sensed data and employing a deterministic random matrix.A. Jafari, A. Page, C. Sagedy, E. Smith, and T. Mohsenin. BioCAS, page 1-4. IEEE, (2015)On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.B. Prakash, M. Horton, N. Waytowich, W. Hairston, T. Oates, and T. Mohsenin. ACM Great Lakes Symposium on VLSI, page 507-512. ACM, (2019)BiNMAC: Binarized neural Network Manycore ACcelerator.A. Jafari, M. Hosseini, A. Kulkarni, C. Patel, and T. Mohsenin. ACM Great Lakes Symposium on VLSI, page 443-446. ACM, (2018)

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Low Power and Trusted Machine Learning.

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Low Power and Trusted Machine Learning.