Implementation of relay hopper model for reliable communication of IoT devices in LTE environment through D2D link. - Anish Pradhan; Soumi Basu; Sreetama Sarkar; Saptarshi Mitra; Sanjay Dhar Roy (COMSNETS, 2018)

Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM Based FPGA. - Swagata Mandal; Sreetama Sarkar; Ming Ming Wong; Anupam Chattopadhyay; Amlan Chakrabarti (VLSID, 2019)

Adversarial Robust Model Compression Using In-Train Pruning. - Manoj Rohit Vemparala; Nael Fasfous; Alexander Frickenstein; Sreetama Sarkar; Qi Zhao; Sabine Kuhn; Lukas Frickenstein; Anmol Singh; Christian Unger; Naveen Shankar Nagaraja; Christian Wressnegger; Walter Stechele (CVPR Workshops, 2021)

Voltage Scaling for Partitioned Systolic Array in A Reconfigurable Platform. - Rourab Paul; Sreetama Sarkar; Suman Sau; Koushik Chakraborty; Sanghamitra Roy; Amlan Chakrabarti (CoRR, 2021)

Accelerating and pruning CNNs for semantic segmentation on FPGA. - Pierpaolo Morì; Manoj Rohit Vemparala; Nael Fasfous; Saptarshi Mitra; Sreetama Sarkar; Alexander Frickenstein; Lukas Frickenstein; Domenik Helms; Naveen Shankar Nagaraja; Walter Stechele; Claudio Passerone (DAC, 2022)

Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M). - Md. Abdullah-Al Kaiser; Gourav Datta; Sreetama Sarkar; Souvik Kundu 002; Zihan Yin; Manas Garg; Ajey P. Jacob; Peter A. Beerel; Akhilesh R. Jaiswal (ACM Great Lakes Symposium on VLSI, 2023)

RLNet: Robust Linearized Networks for Efficient Private Inference. - Sreetama Sarkar; Souvik Kundu 002; Peter A. Beerel (CVPR Workshops, 2024)

Block Selective Reprogramming for On-device Training of Vision Transformers. - Sreetama Sarkar; Souvik Kundu 002; Kai Zheng; Peter A. Beerel (CVPR Workshops, 2024)

FixPix: Fixing Bad Pixels using Deep Learning. - Sreetama Sarkar; Xinan Ye; Gourav Datta; Peter A. Beerel (ICPR (3), 2024)

Linearizing Models for Efficient yet Robust Private Inference. - Sreetama Sarkar; Souvik Kundu 002; Peter A. Beerel (CoRR, 2024)

Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors. - Md. Abdullah-Al Kaiser; Sreetama Sarkar; Peter A. Beerel; Akhilesh R. Jaiswal; Gourav Datta (CoRR, 2024)

Region Masking to Accelerate Video Processing on Neuromorphic Hardware. - Sreetama Sarkar; Sumit Bam Shrestha; Yue Che; Leobardo Campos-Macias; Gourav Datta; Peter A. Beerel (ISQED, 2025)

MaskVD: Region Masking for Efficient Video Object Detection. - Sreetama Sarkar; Gourav Datta; Souvik Kundu 002; Kai Zheng; Chirayata Bhattacharyya; Peter A. Beerel (WACV, 2025)

Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression. - Sreetama Sarkar; Yue Che; Alex Gavin; Peter A. Beerel; Souvik Kundu 002 (CoRR, 2025)

Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics. - Mehrdad Morsali; Chengwei Zhou; Deniz Najafi; Sreetama Sarkar; Pietro Mercati; Navid Khoshavi; Peter A. Beerel; Mahdi Nikdast; Gourav Datta; Shaahin Angizi (CoRR, 2025)