|
I am an Assistant Professor in the Department of Computer Science at UC Irvine. I am also a director of Bio-Inspired Architecture and Systems (BIASLab). My group is working on a wide range of practical problems in the area of bio-inspired computing, machine learning, computer architecture, and embedded systems. Our research goal is to design real-time, robust, and programmable computing platforms that cover a wide range of learning, cognitive, and genomics tasks. We also design secure and scalable learning framework for distributed learning/computing over swarm of edge devices in IoT systems.
I received my Ph.D. from the Department of Computer Science and Engineering at the UC San Diego. I have a stellar record of publication with over 90 papers in top conferences/journals. My contribution has led to a new direction on brain-inspired hyperdimensional computing that enables ultra-efficient and real-time learning and cognitive support. My research was also the main initiative in opening up multiple industrial and governmental research programs. My research has been recognized with several awards, including the Bernard and Sophia Gordon Engineering Leadership Award, the Outstanding Researcher Award, and the Powell Fellowship Award. I also received the Best Doctorate Research from UCSD and several best paper nomination awards at multiple top conferences including Design Automation Conference (DAC) in 2019 and 2020, Design Automation and Test in Europe (DATE) in 2020, and International Conference on Computer-Aided Design (ICCAD) in 2020. You can also refer to my UCI webpage: https://www.ics.uci.edu/~mohseni/ |
Current Research
Hyperdimensional Computing
|
Processing In-Memory
|
Edge Computing
|
Bioinformatics Acceleration
|
Publication Summary
|
Stellar record of contribution to both academia and industry by:
|
|
|
Selected Publications:
[MICRO'20] M. Imani, et. al., “DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory”, IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020.
[HPCA'20] M. Imani, M. Samragh, Y. Kim, S. Gupta, F. Koushanfar, T. Rosing “Deep Learning Acceleration with Neuron-to-Memory Transformation”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020 [PDF].
[ISCA'19] M. Imani, S. Gupta, Y. Kim, T. Rosing “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019 (acceptance rate 16.9%) [PDF].
[CLOUD'19] M. Imani, Y. Kim, S. Riazi, J. Messerly, P. Liu, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 (acceptance rate 14.3%) [PDF].
[HPCA'17] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
[HPCA'20] M. Imani, M. Samragh, Y. Kim, S. Gupta, F. Koushanfar, T. Rosing “Deep Learning Acceleration with Neuron-to-Memory Transformation”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020 [PDF].
[ISCA'19] M. Imani, S. Gupta, Y. Kim, T. Rosing “FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019 (acceptance rate 16.9%) [PDF].
[CLOUD'19] M. Imani, Y. Kim, S. Riazi, J. Messerly, P. Liu, F. Koushanfar, T. Rosing “A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019 (acceptance rate 14.3%) [PDF].
[HPCA'17] M. Imani, A. Rahimi, D. Kong, T. Rosing, J. M. Rabaey “Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017 [PDF].
News!
Sept 2020: A paper accepted in IEDM 2020 conference! Experimental chip using emerging non-volatile memories.
Sept 2020: Two papers accepted in ASP-DAC 2021!
Sept 2020: Our ICCAD 2020 paper nominated for the best paper award!
August 2020: A paper accepted in MICRO 2020!
August 2020: Serving as ASP-DAC 2021 TPC member!
August 2020: Serving as ISLPED Session Chair!
July 2020: Two papers accepted in ICCAD 2020!
July 2020: A paper accepted in ISLPED 2020!
July 2020: Our DATE 2020 paper nominated for the best paper award!
July 2020: Our DAC 2020 paper nominated for the best paper award!
July 2020: Joined as an assistant professor to UC Irvine, Computer Science!
Sept 2020: Two papers accepted in ASP-DAC 2021!
Sept 2020: Our ICCAD 2020 paper nominated for the best paper award!
August 2020: A paper accepted in MICRO 2020!
August 2020: Serving as ASP-DAC 2021 TPC member!
August 2020: Serving as ISLPED Session Chair!
July 2020: Two papers accepted in ICCAD 2020!
July 2020: A paper accepted in ISLPED 2020!
July 2020: Our DATE 2020 paper nominated for the best paper award!
July 2020: Our DAC 2020 paper nominated for the best paper award!
July 2020: Joined as an assistant professor to UC Irvine, Computer Science!
