Swarnava Dey

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 34

Top Topics

Gesture Recognition

Resource Constrained

Top Venues

PerCom Workshops

Publications

Shalini Mukhopadhyay, Swarnava Dey, Arijit Mukherjee, Arpan Pal, Ashwin S
Time Series Classification on Edge with Lightweight Attention Networks. PerCom Workshops (2024)
Swarnava Dey, Soma Dasgupta
A Genetic Tuner for Fixed-skeleton TinyML Models. PerCom Workshops (2024)
Soma Dasgupta, Swarnava Dey
MCU-based TinyML Camera for Face Recognition. PerCom Workshops (2024)
Shalini Mukhopadhyay, Varsha Sharma, Dibyanshu Jaiswal, Swarnava Dey, Avik Ghose
Demo: Stress Detection on Tiny Edge Device with GSR Sensor. MobiSys (2024)
Swarnava Dey, Arijit Mukherjee, Arijit Ukil, Arpan Pal
Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models. EdgeFM@MobiSys (2024)
Swarnava Dey
Keynote: AutoML for TinyML. PerCom Workshops (2024)
Swarnava Dey
Designing a Bare Minimum Face Recognition Architecture for Bare Metal Edge Devices: An Experience Report. AIMLSystems (2023)
Syed Mujibul Islam, Jayeeta Mondal, Shalini Mukhopadhyay, Abhishek Roychoudhury, Swarnava Dey, Arijit Mukherjee
TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition. AIMLSystems (2023)
Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee
Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge. AIMLSystems (2023)
Swarnava Dey, Avik Ghose, Soumik Das
Challenges of Accurate and Efficient AutoML. ASE (2023)
Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti
DietCNN: Multiplication-free Inference for Quantized CNNs. IJCNN (2023)
Shalini Mukhopadhyay, Swarnava Dey, Arpan Pal, Ashwin S
Demo Abstract: Lightweight Attention Network for Time Series Classification on Edge. SenSys (2023)
Varsha Sharma, Shalini Mukhopadhyay, Sakyajit Bhattacharya, Swarnava Dey, Avik Ghose
PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation. PerCom Workshops (2023)
Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose, Pragya Singh, Pallab Dasgupta
Generating Tiny Deep Neural Networks for ECG Classification on Micro-Controllers. PerCom Workshops (2023)
Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose
TinyPuff: Automated design of Tiny Smoking Puff Classifiers for Body Worn Devices. BodySys@MobiSys (2023)
Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose
Demo: On-device Puff Detection System for Smoking Cessation. MobiSys (2023)
Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti
DietCNN: Multiplication-free Inference for Quantized CNNs. CoRR (2023)
Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline. CoRR (2023)
Jeet Dutta, Swarnava Dey, Arijit Mukherjee, Arpan Pal
Acceleration-aware, Retraining-free Evolutionary Pruning for Automated Fitment of Deep Learning Models on Edge Devices. AIMLSystems (2022)
Arijit Mukherjee, Swarnava Dey
Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices. AIMLSystems (2022)
Arijit Mukherjee, Arijit Ukil, Swarnava Dey, Gitesh Kulkarni
TinyML Techniques for running Machine Learning models on Edge Devices. AIMLSystems (2022)
Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose, Aakash Tyagi
Automated Generation of Tiny Model for Real-Time ECG Classification on Tiny Edge Devices. SenSys (2022)
Arijit Mukherjee, Jayeeta Mondal, Swarnava Dey
Accelerated Fire Detection and Localization at Edge. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti
SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems. CVPR Workshops (2022)
Swarnava Dey, Jeet Dutta
A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices. AIChallengeIoT@SenSys (2020)
Swarnava Dey, Arijit Mukherjee, Arpan Pal, Balamuralidhar P.
Embedded Deep Inference in Practice: Case for Model Partitioning. SenSys-ML (2019)
Swarnava Dey, Jayeeta Mondal, Arijit Mukherjee
Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights. PerCom Workshops (2019)
Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee, Jeet Dutta, Arpan Pal, Balamurali P
Edge Acceleration of Deep Neural Networks. MobiSys (2019)
Swarnava Dey, Arijit Mukherjee
Implementing Deep Learning and Inferencing on Fog and Edge Computing Systems. PerCom Workshops (2018)
Swagata Biswas, Swarnava Dey, Arijit Mukherjee
(WIP) At Most M - A Flexible Redundancy Model for Cloud Robotics. IEEE CLOUD (2018)
Swarnava Dey, Arijit Mukherjee, Arpan Pal, P. Balamuralidhar
Partitioning of CNN Models for Execution on Fog Devices. CitiFog@SenSys (2018)
Swagata Biswas, Swarnava Dey, Rimita Lahiri, Arijit Mukherjee
A Distributed and Fault Tolerant Robotic Localisation and Mapping in Network Edge. ARMS-CC@PODC (2017)
Swarnava Dey, Arijit Mukherjee
Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective. MobiQuitous (Adjunct Proceedings) (2016)
Swarnava Dey, Swagata Biswas, Arpan Pal, Arijit Mukherjee, Utpal Garain, Kayapanda M. Mandana
CAD Patient Classification Using MIMIC-II. eHealth 360° (2016)
Arijit Mukherjee, Himadri Sekhar Paul, Swarnava Dey, Ansuman Banerjee
ANGELS for distributed analytics in IoT. WF-IoT (2014)
Arijit Mukherjee, Anupam Basu, Swarnava Dey, Pubali Datta, Himadri Sekhar Paul
To Run or Not to Run: Predicting Resource Usage Pattern in a Smartphone. IoT360 (1) (2014)
Ansuman Banerjee, Himadri Sekhar Paul, Arijit Mukherjee, Swarnava Dey, Pubali Datta
A Framework for Speculative Scheduling and Device Selection for Task Execution on a Mobile Cloud. ARMS-CC@PODC (2014)
Swarnava Dey, Pubali Datta, Arijit Mukherjee, Himadri Sekhar Paul, Anupam Basu
Facilitating continued run of sensor data analytics services using user driven proactive memory reclamation scheme. SenSys (2014)
Swarnava Dey, Arijit Mukherjee, Pubali Datta, Himadri Sekhar Paul, Anupam Basu
Dual scheme phone: a user assisted mechanism to effectively run sensor analytics applications on smartphones. MobiQuitous (2014)
Ansuman Banerjee, Arijit Mukherjee, Himadri Sekhar Paul, Swarnava Dey
Offloading work to mobile devices: an availability-aware data partitioning approach. MCS@Middleware (2013)
Arijit Mukherjee, Swarnava Dey, Himadri Sekhar Paul, Batsayan Das
Utilising condor for data parallel analytics in an IoT context - An experience report. WiMob (2013)
Swarnava Dey, Arijit Mukherjee, Himadri Sekhar Paul, Arpan Pal
Challenges of Using Edge Devices in IoT Computation Grids. ICPADS (2013)
Swarnava Dey, Ankur Chakraborty, Soumitra Naskar, Prateep Misra
Smart city surveillance: Leveraging benefits of cloud data stores. LCN Workshops (2012)
Prateep Misra, Nilanjan Roy, Soumitra Naskar, Swarnava Dey
An Erasure Coded Archival Storage System. ICPADS (2012)