| 2026 | Mobisys | Estimation and Localization of Chronic Pain level from EEG Signals. | Shalini Mukhopadhyay, Mayuk Sarkar, Swarnava Dey, Aniruddha Sinha, Avik Ghose |
| 2026 | PERCOM | On the Design of Tiny ECG Encoder for Biometric Applications. | Shalini Mukhopadhyay, Urmi Jana, Swarnava Dey |
| 2025 | IJCNN | TinyHAR-NAS: Tuning Lightweight Attention Networks for Human Activity Recognition on the Edge. | Urmi Jana, Shalini Mukhopadhyay, Swarnava Dey, Arijit Mukherjee, Arpan Pal |
| 2025 | PERCOM | Y-Net: A Compact Edge-Friendly Model for Multi-Modal Medical Image Segmentation. | Soma Dasgupta, Swarnava Dey, Avik Ghose, Arijit Mukherjee, Arpan Pal |
| 2025 | SMC | Tuning Distillation to Generate Edge-friendly All-rounder Models. | Swarnava Dey, Arijit Mukherjee, Arpan Pal |
| 2024 | COMAD | Automatic Generation of Highly Accurate Parameter-optimal Segmentation Models in Precision Agriculture. | Swarnava Dey, Soma Dasgupta |
| 2024 | ECCV | Automated Generation of Accurate, Compact and Focused Crop and Weed Segmentation Models. | Soma Dasgupta, Swarnava Dey |
| 2024 | HIC | TinyStressNAS: Automated Feature Selection and Model Generation for On-device Stress Detection. | Shalini Mukhopadhyay, Varsha Sharma, Dibyanshu Jaiswal, Swarnava Dey, Avik Ghose |
| 2024 | Mobisys | Demo: Stress Detection on Tiny Edge Device with GSR Sensor. | Shalini Mukhopadhyay, Varsha Sharma, Dibyanshu Jaiswal, Swarnava Dey, Avik Ghose |
| 2024 | PERCOM | MCU-based TinyML Camera for Face Recognition. | Soma Dasgupta, Swarnava Dey |
| 2024 | PERCOM | Keynote: AutoML for TinyML. | Swarnava Dey |
| 2024 | PERCOM | A Genetic Tuner for Fixed-skeleton TinyML Models. | Swarnava Dey, Soma Dasgupta |
| 2024 | PERCOM | Time Series Classification on Edge with Lightweight Attention Networks. | Shalini Mukhopadhyay, Swarnava Dey, Arijit Mukherjee, Arpan Pal, Ashwin S |
| 2023 | IJCNN | DietCNN: Multiplication-free Inference for Quantized CNNs. | Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti |
| 2023 | Mobisys | Demo: On-device Puff Detection System for Smoking Cessation. | Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose |
| 2023 | Mobisys | TinyPuff: Automated design of Tiny Smoking Puff Classifiers for Body Worn Devices. | Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose |
| 2023 | PERCOM | Generating Tiny Deep Neural Networks for ECG Classification on Micro-Controllers. | Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose, Pragya Singh, Pallab Dasgupta |
| 2023 | PERCOM | PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation. | Varsha Sharma, Shalini Mukhopadhyay, Sakyajit Bhattacharya, Swarnava Dey, Avik Ghose |
| 2023 | SENSYS | Demo Abstract: Lightweight Attention Network for Time Series Classification on Edge. | Shalini Mukhopadhyay, Swarnava Dey, Arpan Pal, Ashwin S |
| 2022 | CVPR | SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems. | Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti |
| 2022 | SENSYS | Automated Generation of Tiny Model for Real-Time ECG Classification on Tiny Edge Devices. | Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose, Aakash Tyagi |
| 2020 | SENSYS | A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices. | Swarnava Dey, Jeet Dutta |
| 2019 | Mobisys | Edge Acceleration of Deep Neural Networks. | Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee, Jeet Dutta, Arpan Pal, Balamurali P |
| 2019 | PERCOM | Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights. | Swarnava Dey, Jayeeta Mondal, Arijit Mukherjee |
| 2019 | SENSYS | Embedded Deep Inference in Practice: Case for Model Partitioning. | Swarnava Dey, Arijit Mukherjee, Arpan Pal, Balamuralidhar P |
| 2018 | PERCOM | Implementing Deep Learning and Inferencing on Fog and Edge Computing Systems. | Swarnava Dey, Arijit Mukherjee |
| 2018 | SENSYS | Partitioning of CNN Models for Execution on Fog Devices. | Swarnava Dey, Arijit Mukherjee, Arpan Pal, P. Balamuralidhar |
| 2017 | PODC | A Distributed and Fault Tolerant Robotic Localisation and Mapping in Network Edge. | Swagata Biswas, Swarnava Dey, Rimita Lahiri, Arijit Mukherjee |
| 2016 | Mobiquitous | Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective. | Swarnava Dey, Arijit Mukherjee |
| 2014 | Mobiquitous | Dual scheme phone: a user assisted mechanism to effectively run sensor analytics applications on smartphones. | Swarnava Dey, Arijit Mukherjee, Pubali Datta, Himadri Sekhar Paul, Anupam Basu |
| 2014 | PODC | A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud. | Ansuman Banerjee, Himadri Sekhar Paul, Arijit Mukherjee, Swarnava Dey, Pubali Datta |
| 2014 | SENSYS | Facilitating continued run of sensor data analytics services using user driven proactive memory reclamation scheme. | Swarnava Dey, Pubali Datta, Arijit Mukherjee, Himadri Sekhar Paul, Anupam Basu |
| 2013 | ICPADS | Challenges of Using Edge Devices in IoT Computation Grids. | Swarnava Dey, Arijit Mukherjee, Himadri Sekhar Paul, Arpan Pal |
| 2013 | Middleware | Offloading work to mobile devices: an availability-aware data partitioning approach. | Ansuman Banerjee, Arijit Mukherjee, Himadri Sekhar Paul, Swarnava Dey |
| 2013 | WiMob | Utilising condor for data parallel analytics in an IoT context - An experience report. | Arijit Mukherjee, Swarnava Dey, Himadri Sekhar Paul, Batsayan Das |
| 2012 | ICPADS | An Erasure Coded Archival Storage System. | Prateep Misra, Nilanjan Roy, Soumitra Naskar, Swarnava Dey |
| 2012 | LCN | Smart city surveillance: Leveraging benefits of cloud data stores. | Swarnava Dey, Ankur Chakraborty, Soumitra Naskar, Prateep Misra |