| 2026 | AAAI | In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking. | Ritvik Garimella, Kaushik Roy, Chathurangi Shyalika, Amit P. Sheth |
| 2026 | DATE | MIRAGE:MRAM-Based Near ADC-Less Compute-In-Memory Macro for Deep Learning Acceleration. | Mainakh Mukherjee, Ayan B. Pranta, Utkarsh Saxena, Anushka Mukherjee, Deepika Sharma, Gaurav Kumar K, Kaushik Roy |
| 2026 | DATE | Late Breaking Results: Input Loss Curvature as a Predictor of Sample Vulnerability to Hardware-Noise. | Deepika Sharma, Deepak Ravikumar, Chih-Hsing Ho, Sangamesh Kodge, Kaushik Roy |
| 2026 | EACL | ELLA: Efficient Lifelong Learning for Adapters in Large Language Models. | Shristi Das Biswas, Yue Zhang, Anwesan Pal, Radhika Bhargava, Kaushik Roy |
| 2026 | ISPASS | COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives. | Shubham Negi, Manik Singhal, Aayush Ankit, Sudeep Bhoja, Kaushik Roy |
| 2026 | WACV | Learning Unified Spatio-temporal Representations for Efficient Compressed Video Understanding. | Shristi Das Biswas, Efstathia Soufleri, Arani Roy, Kaushik Roy |
| 2026 | WACV | Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning. | Arani Roy, Marco Paul E. Apolinario, Shristi Das Biswas, Kaushik Roy |
| 2025 | AAAI | PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery. | Shristi Das Biswas, Matthew Shreve, Xuelu Li, Prateek Singhal, Kaushik Roy |
| 2025 | AAAI | SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. | Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy |
| 2025 | AIAI | Towards Cross-Domain Anomaly Detection in Cyber-Physical Systems: A Hybrid Approach. | Yaa Takyiwaa Acquaah, Kaushik Roy |
| 2025 | ASPDAC | HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. | Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy |
| 2025 | CVPR | Improved Out-of-Distribution Detection with Additive Angular Margin Loss. | Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy |
| 2025 | DAC | TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering. | Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, Kaushik Roy |
| 2025 | DATE | Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. | Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy |
| 2025 | EMNLP | LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models. | Kang He, Kaushik Roy |
| 2025 | ICCV | CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning. | Marco Paul E. Apolinario, Sakshi Choudhary, Kaushik Roy |
| 2025 | ICLR | DCT-CryptoNets: Scaling Private Inference in the Frequency Domain. | Arjun Roy, Kaushik Roy |
| 2025 | ICML | Towards Memorization Estimation: Fast, Formal and Free. | Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy |
| 2025 | ICML | ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals. | Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang |
| 2025 | ICMLA | MARVEL: Multi-modal Analysis and Reasoning for Violence Explanation with Large Language Models. | Kushal Badal, Subhram Dasgupta, Md Tasnim Alam, Xiaohong Yuan, Kaushik Roy |
| 2025 | ICMLA | Efficient Visual Cyberbullying Detection via Knowledge Distillation from EfficientNet to Lightweight CNNs. | Pal Dave, Subhram Dasgupta, Kushal Badal, Xiaohong Yuan, Kaushik Roy |
| 2025 | IJCNN | TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. | Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel |
| 2025 | ICRA | SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning. | Amogh Joshi, Adarsh Kosta, Kaushik Roy |
| 2025 | ICRA | M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. | Kaushik Roy, Akila Dissanayakc, Brendan Tidd, Peyman Moghadam |
| 2025 | IJCNN | Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge. | Amogh Joshi, Sourav Sanyal, Kaushik Roy |
| 2025 | IJCNN | Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach. | Sourav Sanyal, Amogh Joshi, Manish Nagaraj, Rohan Kumar Manna, Kaushik Roy |
| 2025 | IOLTS | Building Resilient AI: Strengthening Data, Security, and Robustness in Neural Networks. | Deepak Ravikumar, Jimmy Gammell, Kaushik Roy |
| 2025 | ISCAS | AlphaBlend: Hardware-Algorithm Co-design with Mixed-Alphabet Set Multipliers for DNN Workloads. | Arani Roy, Kaushik Roy |
| 2025 | ISLPED | MemRaptor: Magnetoresistive Array as Matrix Vector Multiplication and Transcendental Function Operator for NLP Applications. | Dong Eun Kim, Tanvi Sharma, Anushka Mukherjee, Mainakh Mukherjee, Kaushik Roy |
| 2025 | ISLPED | Tutorial: Autonomy with Neuromorphic System. | Amit Ranjan Trivedi, Priyadarshini Panda, Kaushik Roy, Saibal Mukhopadhyay |
| 2025 | ISPASS | Evaluating Compute in Memory Architectures for Matrix Multiplication: A Dataflow-Centric Perspective. | Tanvi Sharma, Indranil Chakraborty, Mustafa Fayez Ali, Kaushik Roy |
| 2025 | NeSy | Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems. | Aniruddha Chattopadhyay, Raj Dandekar, Kaushik Roy |
| 2025 | WACV | LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. | Marco Paul E. Apolinario, Arani Roy, Kaushik Roy |
| 2025 | WACV | SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. | Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy |
| 2024 | AAAI | GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. | Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth |
| 2024 | COMAD | MSBNet: Handwritten Bangla Character Recognition Using Lightweight Multi-scale CNN Architecture. | Rejoy Chakraborty, Chayan Halder, Kaushik Roy, Shivam Gupta, Shashi Shekhar Jha |
| 2024 | COMAD | L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. | Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur |
| 2024 | DAC | Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. | Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan |
| 2024 | DATE | Unearthing the Potential of Spiking Neural Networks. | Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy |
| 2024 | EMNLP | Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. | Kang He, Yinghan Long, Kaushik Roy |
| 2024 | EMNLP | Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. | Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy |
| 2024 | ICAPS | On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). | Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth |
| 2024 | ICDCS | Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing | Sanaullah, Kaushik Roy, Ulrich Rckert, Thorsten Jungeblut |
| 2024 | ICLR | Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. | Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy |
| 2024 | ICML | Memorization Through the Lens of Curvature of Loss Function Around Samples. | Isha Garg, Deepak Ravikumar, Kaushik Roy |
| 2024 | ICML | Unveiling Privacy, Memorization, and Input Curvature Links. | Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy |
| 2024 | ICMLA | Deep Fake Video Classification with Sequential Input Frames Using Hybrid Deep Learning Model and Bayesian Optimization. | Swetha Chittam, David Johnson, Kaushik Roy, Xiaohong Yuan |
| 2024 | ICMLA | Interpretable Deep Learning Model for Multiclass Brain Tumor Classification. | Raihana Tasnim, Kaushik Roy, Madhuri Siddula |
| 2024 | ICPR | PulmoNetX: A Hybrid Vision Transformer Approach for Multi-scale Spatial Feature Reduction in Pneumonia Classification. | Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Kaushik Roy, Umapada Pal |
| 2024 | ICPR | EDM10: A Polyphonic Stereo Dataset with Identical BGM for Musical Instrument Identification. | Himadri Mukherjee, Matteo Marciano, Ankita Dhar, Kaushik Roy |
| 2024 | IROS | FEDORA: A Flying Event Dataset fOr Reactive behAvior. | Amogh Joshi, Wachirawit Ponghiran, Adarsh Kosta, Manish Nagaraj, Kaushik Roy |
| 2024 | IROS | Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. | Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy |
| 2024 | ISLPED | Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection. | Nirmoy Modak, Kaushik Roy |
| 2024 | WACV | Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. | Sai Aparna Aketi, Kaushik Roy |
| 2024 | WACV | HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. | Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy |
| 2023 | AAAI | Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. | Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth |
| 2023 | AAAI | Continual Learning with Scaled Gradient Projection. | Gobinda Saha, Kaushik Roy |
| 2023 | BMVC | McQueen: Mixed Precision Quantization of Early Exit Networks. | Utkarsh Saxena, Kaushik Roy |
| 2023 | CVPR | Samples with Low Loss Curvature Improve Data Efficiency. | Isha Garg, Kaushik Roy |
| 2023 | CVPR | Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation. | Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy |
| 2023 | CVPR | Live Demonstration: Real-time Event-based Speed Detection using Spiking Neural Networks. | Arjun Roy, Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy |
| 2023 | DAC | Lightning Talk: A Perspective on Neuromorphic Computing. | Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy |
| 2023 | EMNLP | Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. | Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy |
| 2023 | ICCCN | Explainable AI-Based Intrusion Detection Systems for Cloud and IoT. | Maria Camila Gaitan-Cardenas, Mahmoud Abdelsalam, Kaushik Roy |
| 2023 | ICCV | Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. | Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy |
| 2023 | ICMLA | BERT-Based Sentiment Forensics Analysis for Intrusion Detection. | Shahrzad Sayyafzadeh, Hongmei Chi, Weifeng Xu, Kaushik Roy |
| 2023 | ICRA | Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. | Adarsh Kumar Kosta, Kaushik Roy |
| 2023 | ICRA | DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. | Manish Nagaraj, Chamika Mihiranga Liyanagedera, Kaushik Roy |
| 2023 | ISCAS | Low-Power Real-Time Sequential Processing with Spiking Neural Networks. | Chamika Mihiranga Liyanagedera, Manish Nagaraj, Wachirawit Ponghiran, Kaushik Roy |
| 2023 | ICRA | RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network. | Sourav Sanyal, Kaushik Roy |
| 2023 | IDEAL | Plant Disease Detection and Classification Using a Deep Learning-Based Framework. | Mridul Ghosh, Asifuzzaman Lasker, Poushali Banerjee, Anindita Manna, Sk Md Obaidullah, Teresa Gonalves, Kaushik Roy |
| 2023 | ISLPED | Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. | Utkarsh Saxena, Kaushik Roy |
| 2023 | MICCAI | L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. | Kaushik Roy, Peyman Moghadam, Mehrtash Harandi |
| 2023 | SMC | Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. | Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | WACV | Saliency Guided Experience Packing for Replay in Continual Learning. | Gobinda Saha, Kaushik Roy |
| 2022 | AAAI | Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. | Bing Han, Cheng Wang, Kaushik Roy |
| 2022 | AAAI | Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. | Wachirawit Ponghiran, Kaushik Roy |
| 2022 | DAC | Efficiency attacks on spiking neural networks. | Sarada Krithivasan, Sanchari Sen, Nitin Rathi, Kaushik Roy, Anand Raghunathan |
| 2022 | DAC | NAX: neural architecture and memristive xbar based accelerator co-design. | Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy |
| 2022 | DAC | A cross-layer approach to cognitive computing: invited. | Gobinda Saha, Cheng Wang, Anand Raghunathan, Kaushik Roy |
| 2022 | DATE | HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. | Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy |
| 2022 | DATE | Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. | Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy |
| 2022 | ECCV | Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning. | Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy |
| 2022 | ICCAD | Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. | Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy |
| 2022 | ICMLA | Performance Benchmark of Machine Learning-Based Methodology for Swahili News Article Categorization. | Shaun Anthony Little, Kaushik Roy, Ahmed Al Hamoud |
| 2022 | ICPR | SEN: Stack Ensemble Shallow Convolution Neural Network for Signature-based Writer Identification. | Sk Md Obaidullah, Mridul Ghosh, Himadri Mukherjee, Kaushik Roy, Umapada Pal |
| 2022 | ICRA | RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. | Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy |
| 2022 | ICRA | Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. | Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy |
| 2022 | IDEAL | Ensemble Stack Architecture for Lungs Segmentation from X-ray Images. | Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Teresa Gonalves, Kaushik Roy |
| 2022 | ISLPED | Identifying Efficient Dataflows for Spiking Neural Networks. | Deepika Sharma, Aayush Ankit, Kaushik Roy |
| 2021 | ASPDAC | Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. | Sitao Huang, Aayush Ankit, Plnio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic |
| 2021 | DAC | On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. | Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy |
| 2021 | DATE | Hybrid Analog-Spiking Long Short-Term Memory for Energy Efficient Computing on Edge Devices. | Wachirawit Ponghiran, Kaushik Roy |
| 2021 | DATE | Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. | Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy |
| 2021 | ICCAD | Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. | Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla |
| 2021 | ICCV | DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks. | Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy |
| 2021 | ICDAR | Automatic Signature-Based Writer Identification in Mixed-Script Scenarios. | Sk Md Obaidullah, Mridul Ghosh, Himadri Mukherjee, Kaushik Roy, Umapada Pal |
| 2021 | ICDCS | Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. | Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2021 | ICLR | Gradient Projection Memory for Continual Learning. | Gobinda Saha, Isha Garg, Kaushik Roy |
| 2021 | IJCNN | Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. | Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy |
| 2021 | IROS | Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras. | Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, Kostas Daniilidis |
| 2021 | ISLPED | Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design. | Tanvi Sharma, Cheng Wang, Amogh Agrawal, Kaushik Roy |
| 2021 | ISPA | Semi-Supervised Self Training to Assess the Credibility of Tweets. | Leyu Gao, Sandeep Shah, Nasser Assery, Xiaohong Yuan, Xiuli Qu, Kaushik Roy |
| 2020 | CBMS | Periodic Change Detection in Fetal Heart Rate Using Cardiotocograph. | Sahana Das, Himadri Mukherjee, KC Santosh, Chanchal Kumar Saha, Kaushik Roy |
| 2020 | CVPR | RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. | Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2020 | CVPR | Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. | Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy |
| 2020 | DAC | In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. | Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal |
| 2020 | DAC | GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. | Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy |
| 2020 | ECCV | Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding. | Bing Han, Kaushik Roy |
| 2020 | ECCV | Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. | Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy |
| 2020 | ECCV | Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations. | Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy |
| 2020 | ICASSP | Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. | Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy |
| 2020 | ICLR | Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. | Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy |
| 2020 | ICMLA | Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric. | Tony Gwyn, Mustafa Atay, Kaushik Roy, Albert C. Esterline |
| 2020 | IJCNN | Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. | Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2020 | IJCNN | Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. | Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy |
| 2020 | ISLPED | RAMANN: in-SRAM differentiable memory computations for memory-augmented neural networks. | Mustafa Fayez Ali, Amogh Agrawal, Kaushik Roy |
| 2020 | ISPA | Identifying Panic Triggers from Disaster-Related Tweets. | Nasser Assery, Xiaohong Yuan, Xiuli Qu, Sultan Almalki, Kaushik Roy |
| 2020 | VLSID | Invited Talk: Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems. | Priyadarshini Panda, Kaushik Roy |
| 2019 | ASPLOS | PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. | Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic |
| 2019 | ICCAD | PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. | Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy |
| 2019 | ICDAR | Identifying the Presence of Graphical Texts in Scene Images using CNN. | Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy |
| 2019 | ICMLA | Comparing Learning-Based Methods for Identifying Disaster-Related Tweets. | Nasser Assery, Xiaohong Yuan, Sultan Almalki, Kaushik Roy, Xiuli Qu |
| 2019 | IJCNN | On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. | Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy |
| 2019 | IJCNN | Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. | Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy |
| 2019 | IJCNN | A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. | Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy |
| 2019 | MASS | Using Graphical Models as Explanations in Deep Neural Networks. | Franck Le, Mudhakar Srivatsa, Krishna Kesari Reddy, Kaushik Roy |
| 2019 | SmartComp | Neural Networks at the Edge. | Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy |
| 2018 | DATE | Computing-in-memory with spintronics. | Shubham Jain, Sachin S. Sapatnekar, Jianping Wang, Kaushik Roy, Anand Raghunathan |
| 2018 | ICMLA | Comparison of Pre-Trained Word Vectors for Arabic Text Classification Using Deep Learning Approach. | Ali Alwehaibi, Kaushik Roy |
| 2018 | ICPR | A Dravidian Language Identification System. | Himadri Mukherjee, Sk Md Obaidullah, Santanu Phadikar, Kaushik Roy |
| 2018 | ISCAS | M | Darya Mikhailenko, Chamika M. Liyanagedera, Alex Pappachen James, Kaushik Roy |
| 2018 | ITNAC | LSTM for Anomaly-Based Network Intrusion Detection. | Sara A. Althubiti, Eric Marcell Jones, Kaushik Roy |
| 2018 | ITNAC | Performance Evaluation of Machine Learning Algorithms in Apache Spark for Intrusion Detection. | Anthony Dobson, Kaushik Roy, Xiaohong Yuan, Jinsheng Xu |
| 2017 | AVSS | Background modeling using adaptive properties of hybrid features. | Jaemyun Kim, Adn Ramrez Rivera, Byeongwoo Kim, Kaushik Roy, Oksam Chae |
| 2017 | AVSS | An adaptive fusion scheme of color and edge features for background subtraction. | Kaushik Roy, Jaemyun Kim, Md. Tauhid Bin Iqbal, Farkhod Makhmudkhujaev, Byungyong Ryu, Oksam Chae |
| 2017 | CogSIMA | Situation-based ontologies for a computational framework for identity focusing on crime scenes. | Marguerite McDaniel, Emma Sloan, Siobahn C. Day, James Mayes, Albert C. Esterline, Kaushik Roy, William Nick |
| 2017 | DAC | RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. | Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy |
| 2017 | DAC | A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era: Invited. | Jianping Wang, Sachin S. Sapatnekar, Chris H. Kim, Paul A. Crowell, Steven J. Koester, Supriyo Datta, Kaushik Roy, Anand Raghunathan, Xiaobo Sharon Hu, Michael T. Niemier, Azad Naeemi, Chia-Ling Chien, Caroline A. Ross, Roland Kawakami |
| 2017 | DATE | Semantic driven hierarchical learning for energy-efficient image classification. | Priyadarshini Panda, Kaushik Roy |
| 2017 | DATE | STAxCache: An approximate, energy efficient STT-MRAM cache. | Ashish Ranjan, Swagath Venkataramani, Zoha Pajouhi, Rangharajan Venkatesan, Kaushik Roy, Anand Raghunathan |
| 2017 | DATE | Magnetic tunnel junction enabled all-spin stochastic spiking neural network. | Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy |
| 2017 | DATE | Fast, low power evaluation of elementary functions using radial basis function networks. | Parami Wijesinghe, Chamika M. Liyanagedera, Kaushik Roy |
| 2017 | ICCAD | TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. | Aayush Ankit, Abhronil Sengupta, Kaushik Roy |
| 2017 | ICCD | Stochastic Switching of SHE-MTJ as a Natural Annealer for Efficient Combinatorial Optimization. | Yong Shim, Akhilesh Jaiswal, Kaushik Roy |
| 2017 | IJCNN | Convolving over time via recurrent connections for sequential weight sharing in neural networks. | Jason M. Allred, Kaushik Roy |
| 2017 | IJCNN | Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. | Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy |
| 2017 | IJCNN | EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. | Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2017 | IJCNN | Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). | Abhronil Sengupta, Aayush Ankit, Kaushik Roy |
| 2017 | IJCNN | Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. | Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy |
| 2017 | ISLPED | Spin-torque sensors with differential signaling for fast and energy efficient global interconnects. | Zubair Azim, Kaushik Roy |
| 2017 | ISLPED | Gabor filter assisted energy efficient fast learning Convolutional Neural Networks. | Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy |
| 2016 | ASPDAC | Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. | Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy |
| 2016 | ASPDAC | Efficient embedded learning for IoT devices. | Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2016 | ASPDAC | Computing with coupled Spin Torque Nano Oscillators. | Karthik Yogendra, Deliang Fan, Yong Shim, Minsuk Koo, Kaushik Roy |
| 2016 | DAC | Designing approximate circuits using clock overgating. | Younghoon Kim, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2016 | DAC | 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 |
| 2016 | DAC | Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. | Yong Shim, Abhronil Sengupta, Kaushik Roy |
| 2016 | DATE | Conditional Deep Learning for energy-efficient and enhanced pattern recognition. | Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy |
| 2016 | DATE | Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing. | Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy |
| 2016 | DATE | Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. | Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy |
| 2016 | ICCAD | Design of power-efficient approximate multipliers for approximate artificial neural networks. | Vojtech Mrazek, Syed Shakib Sarwar, Luks Sekanina, Zdenek Vascek, Kaushik Roy |
| 2016 | IJCNN | Unsupervised incremental STDP learning using forced firing of dormant or idle neurons. | Jason M. Allred, Kaushik Roy |
| 2016 | IJCNN | On the energy benefits of spiking deep neural networks: A case study. | Bing Han, Abhronil Sengupta, Kaushik Roy |
| 2016 | IJCNN | Spin torque nano-oscillator based Oscillatory Neural Network. | Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan |
| 2016 | IJCNN | Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition. | Priyadarshini Panda, Kaushik Roy |
| 2016 | ISCAS | A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks. | Govind Narasimman, Subhrajit Roy, Xuanyao Fong, Kaushik Roy, Chip-Hong Chang, Arindam Basu |
| 2016 | ISCAS | Spintronic devices for ultra-low power neuromorphic computation (Special session paper). | Abhronil Sengupta, Karthik Yogendra, Kaushik Roy |
| 2016 | VLSID | Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. | Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy |
| 2016 | VLSID | Approximate Computing. | Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2015 | DAC | Approximate storage for energy efficient spintronic memories. | Ashish Ranjan, Swagath Venkataramani, Xuanyao Fong, Kaushik Roy, Anand Raghunathan |
| 2015 | DAC | Approximate computing and the quest for computing efficiency. | Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan |
| 2015 | DATE | Asymmetric underlapped FinFET based robust SRAM design at 7nm node. | A. Arun Goud, Rangharajan Venkatesan, Anand Raghunathan, Kaushik Roy |
| 2015 | DATE | Device/circuit/architecture co-design of reliable STT-MRAM. | Zoha Pajouhi, Xuanyao Fong, Kaushik Roy |
| 2015 | DATE | DyReCTape: a <u>dy</u>namically <u>re</u>configurable <u>c</u>ache using domain wall memory <u>tape</u>s. | Ashish Ranjan, Shankar Ganesh Ramasubramanian, Rangharajan Venkatesan, Vijay S. Pai, Kaushik Roy, Anand Raghunathan |
| 2015 | DATE | Sub-10 nm FinFETs and Tunnel-FETs: from devices to systems. | Ankit Sharma, A. Arun Goud, Kaushik Roy |
| 2015 | DATE | Computing approximately, and efficiently. | Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan |
| 2015 | DATE | Spintastic: <u>spin</u>-based s<u>t</u>och<u>astic</u> logic for energy-efficient computing. | Rangharajan Venkatesan, Swagath Venkataramani, Xuanyao Fong, Kaushik Roy, Anand Raghunathan |
| 2015 | IJCNN | Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. | Abhronil Sengupta, Kaushik Roy |
| 2014 | ASPDAC | "All Programmable SOC FPGA for networking and computing in big data infrastructure". | Ivo Bolsens, Georges G. E. Gielen, Kaushik Roy, Ulf Schneider |
| 2014 | DATE | ASLAN: Synthesis of approximate sequential circuits. | Ashish Ranjan, Arnab Raha, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2014 | DATE | Brain-inspired computing with spin torque devices. | Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra |
| 2014 | ICCAD | Workload dependent evaluation of thin-film thermoelectric devices for on-chip cooling and energy harvesting. | Sri Harsha Choday, Kon-Woo Kwon, Kaushik Roy |
| 2014 | ISCA | STAG: Spintronic-Tape Architecture for GPGPU cache hierarchies. | Rangharajan Venkatesan, Shankar Ganesh Ramasubramanian, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2014 | ISCAS | Highly reliable memory-based Physical Unclonable Function using Spin-Transfer Torque MRAM. | Le Zhang, Xuanyao Fong, Chip-Hong Chang, Zhi-Hui Kong, Kaushik Roy |
| 2014 | ISLPED | StoRM: a stochastic recognition and mining processor. | Vinay K. Chippa, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2014 | ISLPED | SPINDLE: SPINtronic deep learning engine for large-scale neuromorphic computing. | Shankar Ganesh Ramasubramanian, Rangharajan Venkatesan, Mrigank Sharad, Kaushik Roy, Anand Raghunathan |
| 2014 | ISLPED | AxNN: energy-efficient neuromorphic systems using approximate computing. | Swagath Venkataramani, Ashish Ranjan, Kaushik Roy, Anand Raghunathan |
| 2014 | SMC | Multispectral iris recognition utilizing hough transform and modified LBP. | Khary Popplewell, Kaushik Roy, Foysal Ahmad, Joseph Shelton |
| 2014 | SMC | Iris recognition using Level Set and hGEFE. | Joseph Shelton, Kaushik Roy, Foysal Ahmad, Brian O'Connor |
| 2013 | ACSSC | Approximate computing: An integrated hardware approach. | Vinay K. Chippa, Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan |
| 2013 | DAC | Analysis and characterization of inherent application resilience for approximate computing. | Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan |
| 2013 | DAC | Ultra low power associative computing with spin neurons and resistive crossbar memory. | Mrigank Sharad, Deliang Fan, Kaushik Roy |
| 2013 | DATE | Substitute-and-simplify: a unified design paradigm for approximate and quality configurable circuits. | Swagath Venkataramani, Kaushik Roy, Anand Raghunathan |
| 2013 | DATE | DWM-TAPESTRI - an energy efficient all-spin cache using domain wall shift based writes. | Rangharajan Venkatesan, Mrigank Sharad, Kaushik Roy, Anand Raghunathan |
| 2013 | DDECS | Approximate computing for energy-efficient error-resilient multimedia systems. | Kaushik Roy |
| 2013 | ICCAD | Exploring Boolean and non-Boolean computing with spin torque devices. | Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra |
| 2013 | IOLTS | Approximate computing: Energy-efficient computing with good-enough results. | Anand Raghunathan, Kaushik Roy |
| 2013 | ISLPED | Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. | Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra |
| 2013 | ISLPED | Multi-level magnetic RAM using domain wall shift for energy-efficient, high-density caches. | Mrigank Sharad, Rangharajan Venkatesan, Anand Raghunathan, Kaushik Roy |
| 2013 | MICRO | Quality programmable vector processors for approximate computing. | Swagath Venkataramani, Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan |
| 2012 | DAC | Future cache design using STT MRAMs for improved energy efficiency: devices, circuits and architecture. | Sang Phill Park, Sumeet Kumar Gupta, Niladri Narayan Mojumder, Anand Raghunathan, Kaushik Roy |
| 2012 | DAC | Cognitive computing with spin-based neural networks. | Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy |
| 2012 | DAC | SALSA: systematic logic synthesis of approximate circuits. | Swagath Venkataramani, Amit Sabne, Vivek Joy Kozhikkottu, Kaushik Roy, Anand Raghunathan |
| 2012 | DATE | Layout-aware optimization of stt mrams. | Sumeet Kumar Gupta, Sang Phill Park, Niladri Narayan Mojumder, Kaushik Roy |
| 2012 | DATE | A framework for simulating hybrid MTJ/CMOS circuits: Atoms to system approach. | Georgios Panagopoulos, Charles Augustine, Kaushik Roy |
| 2012 | DSD | On Modeling and Evaluation of Logic Circuits under Timing Variations. | Mehdi Dehbashi, Grschwin Fey, Kaushik Roy, Anand Raghunathan |
| 2012 | ETS | Functional analysis of circuits under timing variations. | Mehdi Dehbashi, Grschwin Fey, Kaushik Roy, Anand Raghunathan |
| 2012 | ICCVG | Facial Expression Recognition Using Game Theory and Particle Swarm Optimization. | Kaushik Roy, Mohamed S. Kamel |
| 2012 | ICCVG | Multibiometric System Using Distance Regularized Level Set Method and Particle Swarm Optimization. | Kaushik Roy, Mohamed S. Kamel |
| 2012 | IJCNN | Spin based neuron-synapse module for ultra low power programmable computational networks. | Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy |
| 2012 | ISDA | Individuality of Bangla numerals. | Chayan Halder, Jaya Paul, Kaushik Roy |
| 2012 | ISLPED | Write-optimized reliable design of STT MRAM. | Yusung Kim, Sumeet Kumar Gupta, Sang Phill Park, Georgios Panagopoulos, Kaushik Roy |
| 2012 | ISLPED | High-performance low-energy STT MRAM based on balanced write scheme. | Dongsoo Lee, Sumeet Kumar Gupta, Kaushik Roy |
| 2012 | ISLPED | A low-power "near-threshold" epileptic seizure detection processor with multiple algorithm programmability. | Himanshu Markandeya, Shriram Raghunathan, Pedro P. Irazoqui, Kaushik Roy |
| 2012 | ISLPED | Modeling, design and cross-layer optimization of polysilicon solar cell based micro-scale energy harvesting systems. | Elif S. Mungan, Chao Lu, Vijay Raghunathan, Kaushik Roy |
| 2012 | ISLPED | Spin as state variable for computation: prospects and perspectives. | Kaushik Roy |
| 2012 | ISLPED | TapeCache: a high density, energy efficient cache based on domain wall memory. | Rangharajan Venkatesan, Vivek Joy Kozhikkottu, Charles Augustine, Arijit Raychowdhury, Kaushik Roy, Anand Raghunathan |
| 2012 | VLSID | Low-Overhead Maximum Power Point Tracking for Micro-Scale Solar Energy Harvesting Systems. | Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy |
| 2012 | VTS | HBIST: An approach towards zero external test cost. | Mayur Bubna, Kaushik Roy, Ashish Goel |
| 2011 | ASPDAC | Variation-tolerant and self-repair design methodology for low temperature polycrystalline silicon liquid crystal and organic light emitting diode displays. | Chih-Hsiang Ho, Chao Lu, Debabrata Mohapatra, Kaushik Roy |
| 2011 | DAC | Dynamic effort scaling: managing the quality-efficiency tradeoff. | Vinay K. Chippa, Anand Raghunathan, Kaushik Roy, Srimat T. Chakradhar |
| 2011 | DAC | Significance driven computation on next-generation unreliable platforms. | Georgios Karakonstantis, Nikolaos Bellas, Christos D. Antonopoulos, Georgios Tziantzioulis, Vaibhav Gupta, Kaushik Roy |
| 2011 | DATE | Stage number optimization for switched capacitor power converters in micro-scale energy harvesting. | Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy |
| 2011 | DATE | Design of voltage-scalable meta-functions for approximate computing. | Debabrata Mohapatra, Vinay K. Chippa, Anand Raghunathan, Kaushik Roy |
| 2011 | ETS | Viterbi-Based Efficient Test Data Compression. | Dongsoo Lee, Kaushik Roy |
| 2011 | ICCAD | MACACO: Modeling and analysis of circuits for approximate computing. | Rangharajan Venkatesan, Amit Agarwal, Kaushik Roy, Anand Raghunathan |
| 2011 | ICCD | Multi-level wordline driver for low power SRAMs in nano-scale CMOS technology. | Farshad Moradi, Georgios Panagopoulos, Georgios Karakonstantis, Dag T. Wisland, Hamid Mahmoodi, Jens Kargaard Madsen, Kaushik Roy |
| 2011 | ISLPED | IMPACT: imprecise adders for low-power approximate computing. | Vaibhav Gupta, Debabrata Mohapatra, Sang Phill Park, Anand Raghunathan, Kaushik Roy |
| 2011 | ISLPED | Column-selection-enabled 8T SRAM array with ~1R/1W multi-port operation for DVFS-enabled processors. | Sang Phill Park, Soo Youn Kim, Dongsoo Lee, Jae-Joon Kim, W. Paul Griffin, Kaushik Roy |
| 2011 | VTS | Memory-based embedded digital ATE. | Dongsoo Lee, Sang Phill Park, Ashish Goel, Kaushik Roy |
| 2010 | ASPDAC | Improved clock-gating control scheme for transparent pipeline. | Jung Hwan Choi, Byung Guk Kim, Aurobindo Dasgupta, Kaushik Roy |
| 2010 | ASPDAC | Micro-scale energy harvesting: a system design perspective. | Chao Lu, Vijay Raghunathan, Kaushik Roy |
| 2010 | DAC | Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency. | Vinay K. Chippa, Debabrata Mohapatra, Anand Raghunathan, Kaushik Roy, Srimat T. Chakradhar |
| 2010 | DATE | Efficient power conversion for ultra low voltage micro scale energy transducers. | Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy |
| 2010 | ETS | Parametric failure analysis of embedded SRAMs using fast & accurate dynamic analysis. | Elena I. Vatajelu, Georgios Panagopoulos, Kaushik Roy, Joan Figueras |
| 2010 | ICCD | VEDA: Variation-aware energy-efficient Discrete Wavelet Transform architecture. | Vaibhav Gupta, Georgios Karakonstantis, Debabrata Mohapatra, Kaushik Roy |
| 2010 | ICFHR | Word-Wise Handwritten Persian and Roman Script Identification. | Kaushik Roy, Alireza Alaei, Umapada Pal |
| 2010 | ICIP | Recognition of unideal iris images using region-based active contour model and game theory. | Kaushik Roy, Prabir Bhattacharya, Ching Y. Suen, Jane You |
| 2010 | ICPR | Segmentation of Unideal Iris Images Using Game Theory. | Kaushik Roy, Ching Y. Suen, Prabir Bhattacharya |
| 2010 | IOLTS | A self-consistent model to estimate NBTI degradation and a comprehensive on-line system lifetime enhancement technique. | Georgios Karakonstantis, Charles Augustine, Kaushik Roy |
| 2010 | ISCAS | Maximum power point considerations in micro-scale solar energy harvesting systems. | Chao Lu, Vijay Raghunathan, Kaushik Roy |
| 2010 | ISLPED | HERQULES: system level cross-layer design exploration for efficient energy-quality trade-offs. | Georgios Karakonstantis, Georgios Panagopoulos, Kaushik Roy |
| 2010 | ISLPED | Analysis and design of ultra low power thermoelectric energy harvesting systems. | Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy |
| 2010 | ISLPED | Low-power DWT-based quasi-averaging algorithm and architecture for epileptic seizure detection. | Himanshu Markandeya, Georgios Karakonstantis, Shriram Raghunathan, Pedro P. Irazoqui, Kaushik Roy |
| 2010 | VLSID | Integrated Systems in the More-than-Moore Era: Designing Low-Cost Energy-Efficient Systems Using Heterogeneous Components. | Kaushik Roy, Byunghoo Jung, Anand Raghunathan |
| 2009 | ASPDAC | A design methodology and device/circuit/architecture compatible simulation framework for low-power magnetic quantum cellular automata systems. | Charles Augustine, Behtash Behin-Aein, Xuanyao Fong, Kaushik Roy |
| 2009 | ASPDAC | An alternate design paradigm for robust spin-torque transfer magnetic RAM (STT MRAM) from circuit/architecture perspective. | Jing Li, Patrick Ndai, Ashish Goel, Haixin Liu, Kaushik Roy |
| 2009 | ASPDAC | Design for burn-in test: a technique for burn-in thermal stability under die-to-die parameter variations. | Mesut Meterelliyoz, Kaushik Roy |
| 2009 | DAC | A voltage-scalable & process variation resilient hybrid SRAM architecture for MPEG-4 video processors. | Ik Joon Chang, Debabrata Mohapatra, Kaushik Roy |
| 2009 | DAC | Device/circuit interactions at 22nm technology node. | Kaushik Roy, Jaydeep P. Kulkarni, Sumeet Kumar Gupta |
| 2009 | ICDAR | Indian Multi-Script Full Pin-code String Recognition for Postal Automation. | Umapada Pal, Rami Kumar Roy, Kaushik Roy, Fumitaka Kimura |
| 2009 | ICVS | Nonideal Iris Recognition Using Level Set Approach and Coalitional Game Theory. | Kaushik Roy, Prabir Bhattacharya |
| 2009 | ISLPED | Significance driven computation: a voltage-scalable, variation-aware, quality-tuning motion estimator. | Debabrata Mohapatra, Georgios Karakonstantis, Kaushik Roy |
| 2009 | ISLPED | Ultra low voltage CMOS. | Kaushik Roy |
| 2009 | VLSID | Coping with Variations through System-Level Design. | Nilanjan Banerjee, Saumya Chandra, Swaroop Ghosh, Sujit Dey, Anand Raghunathan, Kaushik Roy |
| 2008 | ASPDAC | Exploring high-speed low-power hybrid arithmetic units at scaled supply and adaptive clock-stretching. | Swaroop Ghosh, Kaushik Roy |
| 2008 | ASPDAC | NBTI induced performance degradation in logic and memory circuits: how effectively can we approach a reliability solution? | Kunhyuk Kang, Saakshi Gangwal, Sang Phill Park, Kaushik Roy |
| 2008 | DAC | Process variation tolerant SRAM array for ultra low voltage applications. | Jaydeep P. Kulkarni, Keejong Kim, Sang Phill Park, Kaushik Roy |
| 2008 | DAC | Modeling of failure probability and statistical design of spin-torque transfer magnetic random access memory (STT MRAM) array for yield enhancement. | Jing Li, Charles Augustine, Sayeef S. Salahuddin, Kaushik Roy |
| 2008 | DATE | A Novel Low Overhead Fault Tolerant Kogge-Stone Adder Using Adaptive Clocking. | Swaroop Ghosh, Patrick Ndai, Kaushik Roy |
| 2008 | DATE | Power-Aware Testing and Test Strategies for Low Power Devices. | Dimitris Gizopoulos, Kaushik Roy, Patrick Girard, Nicola Nicolici, Xiaoqing Wen |
| 2008 | DATE | Soft Errors: System Effects, Protection Techniques and Case Studies. | Dimitris Gizopoulos, Kaushik Roy, Subhasish Mitra, Pia N. Sanda |
| 2008 | ICPR | Adaptive asymmetrical SVM and genetic algorithms based iris recognition. | Kaushik Roy, Prabir Bhattacharya |
| 2008 | ISLPED | Low power design under parameter variations. | Swarup Bhunia, Kaushik Roy |
| 2008 | ISLPED | O | Swaroop Ghosh, Jung Hwan Choi, Patrick Ndai, Kaushik Roy |
| 2008 | ISLPED | Thermal analysis of 8-T SRAM for nano-scaled technologies. | Mesut Meterelliyoz, Jaydeep P. Kulkarni, Kaushik Roy |
| 2008 | IWCIA | Iris Recognition based on Genetic Algorithms and Multi-Class Gaussian Mixture Model. | Kaushik Roy, Prabir Bhattacharya |
| 2008 | IWCIA | Optimal Features Selection and Classification for Iris Recognition. | Kaushik Roy, Prabir Bhattacharya |
| 2008 | VLSID | Optimal Dual-VT Design in Sub-100 Nanometer PDSOI and Double-Gate Technologies. | Aditya Bansal, Jae-Joon Kim, Keunwoo Kim, Saibal Mukhopadhyay, Ching-Te Chuang, Kaushik Roy |
| 2008 | VTS | Design and Analysis of a Self-Repairing SRAM with On-Chip Monitor and Compensation Circuitry. | Niladri Narayan Mojumder, Saibal Mukhopadhyay, Jae-Joon Kim, Ching-Te Chuang, Kaushik Roy |
| 2007 | ACC | Solving the aircraft routing problem using network flow algorithms. | Kaushik Roy, Claire J. Tomlin |
| 2007 | DAC | Characterization and Estimation of Circuit Reliability Degradation under NBTI using On-Line IDDQ Measurement. | Kunhyuk Kang, Keejong Kim, Ahmad E. Islam, Muhammad Ashraful Alam, Kaushik Roy |
| 2007 | DAC | Variation Resilient Low-Power Circuit Design Methodology using On-Chip Phase Locked Loop. | Kunhyuk Kang, Keejong Kim, Kaushik Roy |
| 2007 | DAC | High Performance and Low Power Electronics on Flexible Substrate. | Jing Li, Kunhyuk Kang, Aditya Bansal, Kaushik Roy |
| 2007 | DATE | Process variation tolerant low power DCT architecture. | Nilanjan Banerjee, Georgios Karakonstantis, Kaushik Roy |
| 2007 | DATE | Low-overhead circuit synthesis for temperature adaptation using dynamic voltage scheduling. | Swaroop Ghosh, Swarup Bhunia, Kaushik Roy |
| 2007 | DATE | Interactive presentation: Process tolerant beta-ratio modulation for ultra-dynamic voltage scaling. | Myeong-Eun Hwang, Tamer Cakici, Kaushik Roy |
| 2007 | DDECS | Memories in Scaled Technologies: A Review of Process Induced Failures, Test Methodologies, and Fault Tolerance. | Saibal Mukhopadhyay, Qikai Chen, Kaushik Roy |
| 2007 | ICASSP | An Optimal Algorithm for Low Power Multiplierless FIR Filter Design using Chebychev Criterion. | Georgios Karakonstantis, Kaushik Roy |
| 2007 | ICCAD | The effect of process variation on device temperature in FinFET circuits. | Jung Hwan Choi, Jayathi Murthy, Kaushik Roy |
| 2007 | ICCAD | Estimation of statistical variation in temporal NBTI degradation and its impact on lifetime circuit performance. | Kunhyuk Kang, Sang Phill Park, Kaushik Roy, Muhammad Ashraful Alam |
| 2007 | ICCAD | Design methodology to trade off power, output quality and error resiliency: application to color interpolation filtering. | Georgios Karakonstantis, Nilanjan Banerjee, Kaushik Roy, Chaitali Chakrabarti |
| 2007 | ICIAP | Collarette Area Localization and Asymmetrical Support Vector Machines for Efficient Iris Recognition. | Kaushik Roy, Prabir Bhattacharya |
| 2007 | IOLTS | Tolerance to Small Delay Defects by Adaptive Clock Stretching. | Swaroop Ghosh, Patrick Ndai, Swarup Bhunia, Kaushik Roy |
| 2007 | ISLPED | A process variation aware low power synthesis methodology for fixed-point FIR filters. | Nilanjan Banerjee, Jung Hwan Choi, Kaushik Roy |
| 2007 | ISLPED | Slope interconnect effort: gate-interconnect interdependentdelay model for CMOS logic gates. | Myeong-Eun Hwang, Seong-Ook Jung, Kaushik Roy |
| 2007 | ISLPED | A low-power SRAM using bit-line charge-recycling technique. | Keejong Kim, Hamid Mahmoodi, Kaushik Roy |
| 2007 | ISLPED | A 160 mV, fully differential, robust schmitt trigger based sub-threshold SRAM. | Jaydeep P. Kulkarni, Keejong Kim, Kaushik Roy |
| 2007 | ISLPED | Low-power process-variation tolerant arithmetic units using input-based elastic clocking. | Debabrata Mohapatra, Georgios Karakonstantis, Kaushik Roy |
| 2007 | ITC | Power dissipation, variations and nanoscale CMOS design: Test challenges and self-calibration/self-repair solutions. | Swarup Bhunia, Kaushik Roy |
| 2007 | ITC | Characterization of NBTI induced temporal performance degradation in nano-scale SRAM array using IDDQ. | Kunhyuk Kang, Muhammad Ashraful Alam, Kaushik Roy |
| 2007 | ITC | A generic and reconfigurable test paradigm using Low-cost integrated Poly-Si TFTs. | Jing Li, Swaroop Ghosh, Kaushik Roy |
| 2007 | SMC | Application of Multi-objective Genetic Algorithm and asymmetrical Support Vector Machine to improve the reliability of an iris recognition system. | Kaushik Roy, Prabir Bhattacharya |
| 2007 | VLSID | Process Variations and Process-Tolerant Design. | Swarup Bhunia, Saibal Mukhopadhyay, Kaushik Roy |
| 2007 | VLSID | An Accurate Analytical SNM Modeling Technique for SRAMs Based on Butterworth Filter Function. | Qikai Chen, Arjun Guha, Kaushik Roy |
| 2006 | ASPDAC | Compact thermal models for estimation of temperature-dependent power/performance in FinFET technology. | Aditya Bansal, Mesut Meterelliyoz, Siddharth Singh, Jung Hwan Choi, Jayathi Murthy, Kaushik Roy |
| 2006 | ASPDAC | Speed binning aware design methodology to improve profit under parameter variations. | Animesh Datta, Swarup Bhunia, Jung Hwan Choi, Saibal Mukhopadhyay, Kaushik Roy |
| 2006 | ASPDAC | Low-overhead design of soft-error-tolerant scan flip-flops with enhanced-scan capability. | Ashish Goel, Swarup Bhunia, Hamid Mahmoodi-Meimand, Kaushik Roy |