An Erasure Coded Archival Storage System. - Prateep Misra; Nilanjan Roy; Soumitra Naskar; Swarnava Dey (ICPADS, 2012)

Smart city surveillance: Leveraging benefits of cloud data stores. - Swarnava Dey; Ankur Chakraborty; Soumitra Naskar; Prateep Misra (LCN Workshops, 2012)

Challenges of Using Edge Devices in IoT Computation Grids. - Swarnava Dey; Arijit Mukherjee; Himadri Sekhar Paul; Arpan Pal 001 (ICPADS, 2013)

Offloading work to mobile devices: an availability-aware data partitioning approach. - Ansuman Banerjee; Arijit Mukherjee; Himadri Sekhar Paul; Swarnava Dey (MCS@Middleware, 2013)

Utilising condor for data parallel analytics in an IoT context - An experience report. - Arijit Mukherjee; Swarnava Dey; Himadri Sekhar Paul; Batsayan Das (WiMob, 2013)

To Run or Not to Run: Predicting Resource Usage Pattern in a Smartphone. - Arijit Mukherjee; Anupam Basu; Swarnava Dey; Pubali Datta; Himadri Sekhar Paul (IoT360 (1), 2014)

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 (MobiQuitous, 2014)

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 (ARMS-CC@PODC, 2014)

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 (SenSys, 2014)

ANGELS for distributed analytics in IoT. - Arijit Mukherjee; Himadri Sekhar Paul; Swarnava Dey; Ansuman Banerjee (WF-IoT, 2014)

CAD Patient Classification Using MIMIC-II. - Swarnava Dey; Swagata Biswas; Arpan Pal 001; Arijit Mukherjee; Utpal Garain; Kayapanda M. Mandana (eHealth 360°, 2016)

Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective. - Swarnava Dey; Arijit Mukherjee (MobiQuitous (Adjunct Proceedings), 2016)

A Distributed and Fault Tolerant Robotic Localisation and Mapping in Network Edge. - Swagata Biswas; Swarnava Dey; Rimita Lahiri; Arijit Mukherjee (ARMS-CC@PODC, 2017)

(WIP) At Most M - A Flexible Redundancy Model for Cloud Robotics. - Swagata Biswas; Swarnava Dey; Arijit Mukherjee (IEEE CLOUD, 2018)

Implementing Deep Learning and Inferencing on Fog and Edge Computing Systems. - Swarnava Dey; Arijit Mukherjee (PerCom Workshops, 2018)

Partitioning of CNN Models for Execution on Fog Devices. - Swarnava Dey; Arijit Mukherjee; Arpan Pal 001; P. Balamuralidhar (CitiFog@SenSys, 2018)

Edge Acceleration of Deep Neural Networks. - Jayeeta Mondal; Swarnava Dey; Arijit Mukherjee; Jeet Dutta; Arpan Pal 001; Balamurali P (MobiSys, 2019)

Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights. - Swarnava Dey; Jayeeta Mondal; Arijit Mukherjee (PerCom Workshops, 2019)

Embedded Deep Inference in Practice: Case for Model Partitioning. - Swarnava Dey; Arijit Mukherjee; Arpan Pal 001; Balamuralidhar P (SenSys-ML, 2019)

A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices. - Swarnava Dey; Jeet Dutta (AIChallengeIoT@SenSys, 2020)

Acceleration-aware, Retraining-free Evolutionary Pruning for Automated Fitment of Deep Learning Models on Edge Devices. - Jeet Dutta; Swarnava Dey; Arijit Mukherjee; Arpan Pal 001 (AIMLSystems, 2022)

Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices. - Arijit Mukherjee; Swarnava Dey (AIMLSystems, 2022)

TinyML Techniques for running Machine Learning models on Edge Devices. - Arijit Mukherjee; Arijit Ukil; Swarnava Dey; Gitesh Kulkarni (AIMLSystems, 2022)

SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems. - Swarnava Dey; Pallab Dasgupta; Partha Pratim Chakrabarti (CVPR Workshops, 2022)

Automated Generation of Tiny Model for Real-Time ECG Classification on Tiny Edge Devices. - Shalini Mukhopadhyay; Swarnava Dey; Avik Ghose; Aakash Tyagi (SenSys, 2022)

Accelerated Fire Detection and Localization at Edge. - Arijit Mukherjee; Jayeeta Mondal; Swarnava Dey (ACM Trans. Embed. Comput. Syst., 2022)

Designing a Bare Minimum Face Recognition Architecture for Bare Metal Edge Devices: An Experience Report. - Swarnava Dey (AIMLSystems, 2023)

TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition. - Syed Mujibul Islam; Jayeeta Mondal; Shalini Mukhopadhyay; Abhishek Roychoudhury; Swarnava Dey; Arijit Mukherjee (AIMLSystems, 2023)

Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge. - Jayeeta Mondal; Swarnava Dey; Arijit Mukherjee (AIMLSystems, 2023)

DietCNN: Multiplication-free Inference for Quantized CNNs. - Swarnava Dey; Pallab Dasgupta; Partha Pratim Chakrabarti (IJCNN, 2023)

Challenges of Accurate and Efficient AutoML. - Swarnava Dey; Avik Ghose; Soumik Das (ASE, 2023)

Demo: On-device Puff Detection System for Smoking Cessation. - Shalini Mukhopadhyay; Swarnava Dey; Avik Ghose (MobiSys, 2023)

TinyPuff: Automated design of Tiny Smoking Puff Classifiers for Body Worn Devices. - Shalini Mukhopadhyay; Swarnava Dey; Avik Ghose (BodySys@MobiSys, 2023)

Generating Tiny Deep Neural Networks for ECG Classification on Micro-Controllers. - Shalini Mukhopadhyay; Swarnava Dey; Avik Ghose; Pragya Singh; Pallab Dasgupta (PerCom Workshops, 2023)

PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation. - Varsha Sharma; Shalini Mukhopadhyay; Sakyajit Bhattacharya; Swarnava Dey; Avik Ghose (PerCom Workshops, 2023)

Demo Abstract: Lightweight Attention Network for Time Series Classification on Edge. - Shalini Mukhopadhyay; Swarnava Dey; Arpan Pal 001; Ashwin S (SenSys, 2023)

Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline. - Jayeeta Mondal; Swarnava Dey; Arijit Mukherjee (CoRR, 2023)

Automatic Generation of Highly Accurate Parameter-optimal Segmentation Models in Precision Agriculture. - Swarnava Dey; Soma Dasgupta (COMAD/CODS (December), 2024)

Automated Generation of Accurate, Compact and Focused Crop and Weed Segmentation Models. - Soma Dasgupta; Swarnava Dey (ECCV Workshops (3), 2024)

Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models. - Swarnava Dey; Arijit Mukherjee; Arijit Ukil; Arpan Pal 001 (EdgeFM@MobiSys, 2024)

Demo: Stress Detection on Tiny Edge Device with GSR Sensor. - Shalini Mukhopadhyay; Varsha Sharma; Dibyanshu Jaiswal; Swarnava Dey; Avik Ghose (MobiSys, 2024)

MCU-based TinyML Camera for Face Recognition. - Soma Dasgupta; Swarnava Dey (PerCom Workshops, 2024)

Keynote: AutoML for TinyML. - Swarnava Dey (PerCom Workshops, 2024)

A Genetic Tuner for Fixed-skeleton TinyML Models. - Swarnava Dey; Soma Dasgupta (PerCom Workshops, 2024)

Time Series Classification on Edge with Lightweight Attention Networks. - Shalini Mukhopadhyay; Swarnava Dey; Arijit Mukherjee; Arpan Pal 001; Ashwin S (PerCom Workshops, 2024)

Y-Net: A Compact Edge-Friendly Model for Multi-Modal Medical Image Segmentation. - Soma Dasgupta; Swarnava Dey; Avik Ghose; Arijit Mukherjee; Arpan Pal 001 (PerCom Workshops, 2025)