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Books and Book Chapters

HEALTH SERVICES RESEARCH IN DIVERSE SETTINGS

Cotton, S., A. Subramanian, A. K. Pearce, T. Hughes, C. Sierra, Y. Huang, M. Pinto, A. Rahmani, C. Downs, and A. Malhotra. (2023). The Effect of SARS-CoV-2 Variants on Non-respiratory Features and Mortality Among Vaccinated and Non-fully Vaccinated Patients. C58. HEALTH SERVICES RESEARCH IN DIVERSE SETTINGS, pp. A5438-A5438.

International Conference on Multimedia Modeling

Nagesh, Nitish, Iman Azimi, Tom Andriola, Amir M. Rahmani, and Ramesh Jain. (2023). Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. International Conference on Multimedia Modeling, pp. 589-600. Cham: Springer International Publishing.

Proceedings of the Great Lakes Symposium on VLSI 2023

Noureddine, Hadi, Omar Bekdache, Mohamad Al Tawil, Rouwaida Kanj, Ali Chehab, Mohammed Fouda, and Ahmed Eltawil. (2023). High-Density FeFET-based CAM Cell Design Via Multi-Dimensional Encoding. Proceedings of the Great Lakes Symposium on VLSI 2023, pp. 403-407.

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

Wang, Yuning, Iman Azimi, Mohammad Feli, Amir M. Rahmani, and Pasi Liljeberg. (2023). Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring. Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, pp. 593-598.

Proceedings of the Great Lakes Symposium on VLSI 2023

Mohsen Riahi Alam, M Hassan Najafi, Nima TaheriNejad, Mohsen Imani, Lu Peng (2023). Stochastic Computing for Reliable Memristive In-Memory Computation. In Proceedings of the Great Lakes Symposium on VLSI 2023, pp. 397-401

Proceedings of the Great Lakes Symposium on VLSI 2023

Sercan Aygun, M Hassan Najafi, Mohsen Imani, Ece Olcay Gunes (2023). Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. In Proceedings of the Great Lakes Symposium on VLSI 2023, pp. 273-279

Multimodal AI in healthcare: A paradigm shift in health intelligence

Giyahchi, Tootiya, Sameer Singh, Ian Harris, and Cornelia Pechmann. (2022). Customized training of pretrained language models to detect post intents in online health support groups. In Multimodal AI in healthcare: A paradigm shift in health intelligence, pp. 59-75. Cham: Springer International Publishing.

Proceedings of the 59th ACM/IEEE Design Automation Conference

Jongho Park, HyukJun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, Yeseong Kim (2022). QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. In Proceedings of the 59th ACM/IEEE Design Automation Conference,  pp. 1159-1164.

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin (2022). Cosime: Fefet based associative memory for in-memory cosine similarity search. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9.

Proceedings of the 59th ACM/IEEE Design Automation Conference

Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin (2022). Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. In Proceedings of the 59th ACM/IEEE Design Automation Conference, pp. 751-756.

NASA Formal Methods Symposium

Santa Cruz, Ulices, and Yasser Shoukry. (2022). Nnlander-verif: A neural network formal verification framework for vision-based autonomous aircraft landing. NASA Formal Methods Symposium, pp. 213-230.

Proceedings of the 59th ACM/IEEE Design Automation Conference

Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani (2022). Hdpg: hyperdimensional policy-based reinforcement learning for continuous control. In Proceedings of the 59th ACM/IEEE Design Automation Conference, pp. 1141-1146.

Proceedings of the 59th ACM/IEEE Design Automation Conference

Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M Hassan Najafi, Mohsen Imani (2022). A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. In Proceedings of the 59th ACM/IEEE Design Automation Conference, pp. 1390-1391.

Proceedings of the 59th ACM/IEEE Design Automation Conference

Mohsen Imani, Ali Zakeri, Hanning Chen, TaeHyun Kim, Prathyush Poduval, Hyunsei Lee, Yeseong Kim, Elaheh Sadredini, Farhad Imani (2022). Neural computation for robust and holographic face detection. In Proceedings of the 59th ACM/IEEE Design Automation Conference, pp. 31-36.

Proceedings of the 59th ACM/IEEE Design Automation Conference

Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rossario Cammarota, Mohsen Imani (2022). Adaptive neural recovery for highly robust brain-like representation. In Proceedings of the 59th ACM/IEEE Design Automation Conference, pp. 367-372.

Proceedings of the 49th Annual International Symposium on Computer Architecture

Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini, Rosario Cammarota, Mohsen Imani (2022). Biohd: an efficient genome sequence search platform using hyperdimensional memorization. In Proceedings of the 49th Annual International Symposium on Computer Architecture, pp. 656-669

Proceedings of the Great Lakes Symposium on VLSI 2022

Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M Rahmani, Nikil Dutt (2022). Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. In Proceedings of the Great Lakes Symposium on VLSI 2022, pp. 357-360

Neurorehabilitation Technology

Lim, Jeffrey, Derrick Lin, Won Joon Sohn, Colin M. McCrimmon, Po T. Wang, Zoran Nenadic, and An H. Do. (2022). BCI-Based Neuroprostheses and Physiotherapies for Stroke Motor Rehabilitation. In Neurorehabilitation Technology, pp. 509-524. Cham: Springer International Publishing.

Proceedings of the Great Lakes Symposium on VLSI 2022

Shahhosseini, Sina, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, and Nikil Dutt. (2022). Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. Proceedings of the Great Lakes Symposium on VLSI 2022, pp. 357-360.