Memristor-Based Nonvolatile Random Access Memory: Hybrid Architecture for Low Power Compact Memory Design. - Syed Shakib Sarwar; Syed an Nazmus Saqueb; Farhan Quaiyum; A. B. M. Harun-ur Rashid (IEEE Access, 2013)

Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. - Zubair Al Azim; Abhronil Sengupta; Syed Shakib Sarwar; Kaushik Roy 001 (CoRR, 2015)

Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. - Priyadarshini Panda; Abhronil Sengupta; Syed Shakib Sarwar; Gopalakrishnan Srinivasan; Swagath Venkataramani; Anand Raghunathan; Kaushik Roy 001 (DAC, 2016)

Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing. - Syed Shakib Sarwar; Swagath Venkataramani; Anand Raghunathan; Kaushik Roy 001 (DATE, 2016)

Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. - Gopalakrishnan Srinivasan; Parami Wijesinghe; Syed Shakib Sarwar; Akhilesh Jaiswal 001; Kaushik Roy 001 (DATE, 2016)

Design of power-efficient approximate multipliers for approximate artificial neural networks. - Vojtech Mrazek; Syed Shakib Sarwar; Lukás Sekanina; Zdenek Vasícek; Kaushik Roy 001 (ICCAD, 2016)

Gabor filter assisted energy efficient fast learning Convolutional Neural Networks. - Syed Shakib Sarwar; Priyadarshini Panda; Kaushik Roy 001 (ISLPED, 2017)

Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. - Syed Shakib Sarwar; Gopalakrishnan Srinivasan; Bing Han 006; Parami Wijesinghe; Akhilesh Jaiswal 001; Priyadarshini Panda; Anand Raghunathan; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

Energy-Efficient Neural Computing with Approximate Multipliers. - Syed Shakib Sarwar; Swagath Venkataramani; Aayush Ankit; Anand Raghunathan; Kaushik Roy 001 (ACM J. Emerg. Technol. Comput. Syst., 2018)

Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM. - Arnab Raha; Akhilesh Jaiswal 001; Syed Shakib Sarwar; Hrishikesh Jayakumar; Vijay Raghunathan; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2018)

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. - Saima Sharmin; Priyadarshini Panda; Syed Shakib Sarwar; Chankyu Lee; Wachirawit Ponghiran; Kaushik Roy 001 (IJCNN, 2019)

Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. - Chankyu Lee; Syed Shakib Sarwar; Kaushik Roy 001 (CoRR, 2019)

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. - Gopalakrishnan Srinivasan; Chankyu Lee; Abhronil Sengupta; Priyadarshini Panda; Syed Shakib Sarwar; Kaushik Roy 001 (ICASSP, 2020)

Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. - Syed Shakib Sarwar; Aayush Ankit; Kaushik Roy 001 (IEEE Access, 2020)

System-Level Design and Integration of a Prototype AR/VR Hardware Featuring a Custom Low-Power DNN Accelerator Chip in 7nm Technology for Codec Avatars. - Huseyin Ekin Sumbul; Tony F. Wu; Yuecheng Li; Syed Shakib Sarwar; William Koven; Eli Murphy-Trotzky; Xingxing Cai; Elnaz Ansari; Daniel H. Morris; Huichu Liu; Doyun Kim; Edith Beigné (CICC, 2022)

Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks. - Dominika Przewlocka-Rus; Syed Shakib Sarwar; Huseyin Ekin Sumbul; Yuecheng Li; Barbara De Salvo (CoRR, 2022)

Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation. - Jorge Gomez 001; Saavan Patel; Syed Shakib Sarwar; Ziyun Li; Raffaele Capoccia; Zhao Wang; Reid Pinkham; Andrew Berkovich; Tsung-Hsun Tsai; Barbara De Salvo; Chiao Liu (CoRR, 2022)

Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications. - Vivek Parmar; Syed Shakib Sarwar; Ziyun Li; Hsien-Hsin S. Lee; Barbara De Salvo; Manan Suri (CoRR, 2022)

DRESS: Dynamic REal-time Sparse Subnets. - Zhongnan Qu; Syed Shakib Sarwar; Xin Dong 009; Yuecheng Li; Huseyin Ekin Sumbul; Barbara De Salvo (CoRR, 2022)

Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications. - Vivek Parmar; Sandeep Kaur Kingra; Syed Shakib Sarwar; Ziyun Li; Barbara De Salvo; Manan Suri (CVPR Workshops, 2023)

Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS. - Moritz Scherer 001; Manuel Eggimann; Alfio Di Mauro; Arpan Suravi Prasad; Francesco Conti 001; Davide Rossi; Jorge Tomás Gómez; Ziyun Li; Syed Shakib Sarwar; Zhao Wang; Barbara De Salvo; Luca Benini (ESSCIRC, 2023)

Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. - Vivek Parmar; Syed Shakib Sarwar; Ziyun Li; Hsien-Hsin S. Lee; Barbara De Salvo; Manan Suri (IEEE Micro, 2023)

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars. - Jian Meng; Yuecheng Li; Chenghui Li; Syed Shakib Sarwar; Dilin Wang; Jae-sun Seo (ECCV (40), 2024)

Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices. - Yiwei Zhao; Ziyun Li; Win-San Khwa; Xiaoyu Sun 001; Sai Qian Zhang; Syed Shakib Sarwar; Kleber Hugo Stangherlin; Yi-Lun Lu; Jorge Tomás Gómez; Jae-Sun Seo; Phillip B. Gibbons; Barbara De Salvo; et al. (CoRR, 2024)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Sai Qian Zhang; Yuecheng Li; Barbara De Salvo (CoRR, 2024)

x-RAGE: eXtended Reality - Action & Gesture Events Dataset. - Vivek Parmar; Dwijay Bane; Syed Shakib Sarwar; Kleber Stangherlin; Barbara De Salvo; Manan Suri (CoRR, 2024)

Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework. - Xiaoyu Sun 001; Xiaochen Peng; Sai Qian Zhang; Jorge Gomez 002; Win-San Khwa; Syed Shakib Sarwar; Ziyun Li; Weidong Cao 001; Zhao Wang; Chiao Liu; Meng-Fan Chang; Barbara De Salvo; et al. (ACM Trans. Design Autom. Electr. Syst., 2024)

Siracusa: A 16 nm Heterogenous RISC-V SoC for Extended Reality With At-MRAM Neural Engine. - Arpan Suravi Prasad; Moritz Scherer 001; Francesco Conti 001; Davide Rossi; Alfio Di Mauro; Manuel Eggimann; Jorge Tomás Gómez; Ziyun Li; Syed Shakib Sarwar; Zhao Wang; Barbara De Salvo; Luca Benini (IEEE J. Solid State Circuits, 2024)

Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads. - Yuan-Chun Luo; Anni Lu; Janak Sharda; Moritz Scherer 001; Jorge Tomás Gómez; Syed Shakib Sarwar; Ziyun Li; Reid Frederick Pinkham; Barbara De Salvo; Shimeng Yu (IEEE Trans. Very Large Scale Integr. Syst., 2024)

H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications. - Yiwei Zhao; Jinhui Chen; Sai Qian Zhang; Syed Shakib Sarwar; Kleber Hugo Stangherlin; Jorge Tomás Gómez; Jae-Sun Seo; Barbara De Salvo; Chiao Liu; Phillip B. Gibbons; Ziyun Li (ASP-DAC, 2025)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Yuecheng Li; Sai Qian Zhang; Barbara De Salvo (CVPR Workshops, 2025)

H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications (Abstract). - Yiwei Zhao; Jinhui Chen; Sai Qian Zhang; Syed Shakib Sarwar; Kleber Hugo Stangherlin; Jorge Tomás Gómez; Jae-Sun Seo; Barbara De Salvo; Chiao Liu; Phillip B. Gibbons; Ziyun Li (HOPC@SPAA, 2025)

Re-CATA: Real-Time and Flexible Accelerator Design Framework for On-Device Codec Avatars. - Yongan Zhang; Yuecheng Li; Syed Shakib Sarwar; Huseyin Ekin Sumbul; Yonggan Fu; Haoran You; Cheng Wan 005; Yingyan Lin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)