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Mohsen Imani
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A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory


Sep 24, 2022
Xunzhao Yin, Qingrong Huang, Franz Müller, Shan Deng, Alptekin Vardar, Sourav De, Zhouhang Jiang, Mohsen Imani, Cheng Zhuo, Thomas Kämpfe, Kai Ni

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* 8 pages, 8 figures 
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Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing


Aug 01, 2022
Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil Dutt, Amir M. Rahmani

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Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning


Jul 08, 2022
Paul R. Genssler, Hamza E. Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch

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QHD: A brain-inspired hyperdimensional reinforcement learning algorithm


May 14, 2022
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mecati, Mohsen Imani

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An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine


Mar 15, 2022
Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Cheng Zhuo, Thomas Kämpfe, Kai Ni

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* 20 pages, 14 figures 
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Spiking Hyperdimensional Network: Neuromorphic Models Integrated with Memory-Inspired Framework


Oct 01, 2021
Zhuowen Zou, Haleh Alimohamadi, Farhad Imani, Yeseong Kim, Mohsen Imani

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Trustworthy AI Inference Systems: An Industry Research View


Aug 10, 2020
Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton

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Prive-HD: Privacy-Preserved Hyperdimensional Computing


May 14, 2020
Behnam Khaleghi, Mohsen Imani, Tajana Rosing

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* Accepted in Design Automation Conference (DAC) 2020 
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QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning


Dec 02, 2019
Samuel Bosch, Alexander Sanchez de la Cerda, Mohsen Imani, Tajana Simunic Rosing, Giovanni De Micheli

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* 8 pages, 7 figures, 3 tables 
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RAPIDNN: In-Memory Deep Neural Network Acceleration Framework


Aug 09, 2018
Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing

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