Books and Book Chapters

Yu, S. Y., Malawade, A. V., & Faruque, M. A. A. (2023). Scene-Graph Embedding for Robust Autonomous Vehicle Perception. In Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems (pp. 525-544). Cham: Springer International Publishing.

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.

Fatnassi, Wael, Haitham Khedr, Valen Yamamoto, and Yasser Shoukry. (2023). Bern-nn: Tight bound propagation for neural networks using bernstein polynomial interval arithmetic. Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, pp. 1-11.

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.

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.

Odema, Mohanad, James Ferlez, Goli Vaisi, Yasser Shoukry, and Mohammad Abdullah Al Faruque. (2023). Energyshield: Provably-safe offloading of neural network controllers for energy efficiency. Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), pp. 187-198.

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.

Nunes, Igor, Mike Heddes, Pere Vergés, Danny Abraham, Alex Veidenbaum, Alex Nicolau, and Tony Givargis. (2023). DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1758-1769.

Wu, Yashuo, Carla Fabiana Chiasserini, Francesco Malandrino, and Marco Levorato. (2023). Enhancing Privacy in Federated Learning via Early Exit. Proceedings of the 5th workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, pp. 1-5.

Nunes, Igor, Mike Heddes, Pere Vergés, Danny Abraham, Alex Veidenbaum, Alex Nicolau, and Tony Givargis. (2023). DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1758-1769.

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

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

Sercan Aygun, M Hassan Najafi, Mohsen Imani, Ece Olcay Gunes (2023). Reconvergent Path-aware Simulation of Bit-stream Processing. In Proceedings of the Great Lakes Symposium on VLSI 2023, pp. 225-226

Hussam Amrouch, Paul R Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang (2023). Beyond von Neumann Era: Brain-inspired Hyperdimensional Computing to the Rescue. In Proceedings of the 28th Asia and South Pacific Design Automation Conference, pp. 553-560

Guo, Yanan, Takami Sato, Yulong Cao, Qi Alfred Chen, and Yueqiang Cheng. (2023). Adversarial Attacks on Adaptive Cruise Control Systems. In Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, pp. 49-54.

Yao, Zhihao, Seyed Mohammadjavad Seyed Talebi, Mingyi Chen, Ardalan Amiri Sani, and Thomas Anderson. (2023) Minimizing a Smartphone’s TCB for Security-Critical Programs with Exclusively-Used, Physically-Isolated, Statically-Partitioned Hardware. Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services, pp. 233-246.

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.

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.

Panthi, Sunil, and Ahmed M. Eltawil. (2021). Dynamic Resource Management in High Throughput Satellite with Multi Port Amplifier (MPA). Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport, pp. 1116-1132. IGI Global.

Radhit Dedania, Sang-Woo Jun (2022). Very low power high-frequency floating point fpga pid controller. In International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, pp 102-107.

Sizhe Zhang, Mohsen Imani, Xun Jiao (2022). Scalehd: robust brain-inspired hyperdimensional computing via adapative scaling. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9.

Yang Ni, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani (2022). Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9

Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani (2022). DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9.

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.

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.

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.

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.

Ferlez, James, Haitham Khedr, and Yasser Shoukry. (2022). Fast BATLLNN: fast box analysis of two-level lattice neural networks. Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control, pp. 1-11.

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.

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.

Rostami, Ali, Nitish Nagesh, Amir Rahmani, and Ramesh Jain. (2022). World Food Atlas for Food Navigation. Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, pp. 39-47.

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.

Zhang, Qifan, Junjie Shen, Mingtian Tan, Zhe Zhou, Zhou Li, Qi Alfred Chen, and Haipeng Zhang. (2022). Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization. In Proceedings of the 38th Annual Computer Security Applications Conference, pp. 56-70.

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

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

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.

Wang, Ningfei, Yunpeng Luo, Takami Sato, Kaidi Xu, and Qi Alfred Chen. (2022). Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, pp. 3479-3481.

Sato, Takami, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, and Qi Alfred Chen. (2022) Poster: Towards large-scale measurement study on LiDAR spoofing attacks against object detection. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, pp. 3459-3461.

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.

Luo, Yunpeng, Ziwen Wan, and Qi Alfred Chen. (2022). Poster: Towards Complete Computation Graph Generation for Security Assessment of ROS Applications. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, pp. 3411-3413.