Swarnava Dey

According to our database, Swarnava Dey authored at least 33 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline.

Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee

CoRR, 2023

PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation.

Varsha Sharma, Shalini Mukhopadhyay, Sakyajit Bhattacharya, Swarnava Dey, Avik Ghose

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Generating Tiny Deep Neural Networks for ECG Classification on Micro-Controllers.

Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose, Pragya Singh, Pallab Dasgupta

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

TinyPuff: Automated design of Tiny Smoking Puff Classifiers for Body Worn Devices.

Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose

Proceedings of the 8th Workshop on Body-Centric Computing Systems, 2023

Demo: On-device Puff Detection System for Smoking Cessation.

Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Challenges of Accurate and Efficient AutoML.

Swarnava Dey, Avik Ghose, Soumik Das

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

DietCNN: Multiplication-free Inference for Quantized CNNs.

Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Accelerated Fire Detection and Localization at Edge.

Arijit Mukherjee, Jayeeta Mondal, Swarnava Dey

ACM Trans. Embed. Comput. Syst., November, 2022

Automated Generation of Tiny Model for Real-Time ECG Classification on Tiny Edge Devices.

Shalini Mukhopadhyay, Swarnava Dey, Avik Ghose, Aakash Tyagi

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

SymDNN: Simple & Effective Adversarial Robustness for Embedded Systems.

Swarnava Dey, Pallab Dasgupta, Partha Pratim Chakrabarti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

TinyML Techniques for running Machine Learning models on Edge Devices.

Arijit Mukherjee, Arijit Ukil, Swarnava Dey, Gitesh Kulkarni

Proceedings of the Second International Conference on AI-ML Systems, 2022

Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices.

Arijit Mukherjee, Swarnava Dey

Proceedings of the Second International Conference on AI-ML Systems, 2022

Acceleration-aware, Retraining-free Evolutionary Pruning for Automated Fitment of Deep Learning Models on Edge Devices.

Jeet Dutta, Swarnava Dey, Arijit Mukherjee, Arpan Pal

Proceedings of the Second International Conference on AI-ML Systems, 2022

2020

A Low footprint Automatic Speech Recognition System For Resource Constrained Edge Devices.

Swarnava Dey, Jeet Dutta

Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

2019

Embedded Deep Inference in Practice: Case for Model Partitioning.

Swarnava Dey, Arijit Mukherjee, Arpan Pal, Balamuralidhar P

Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019

Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights.

Swarnava Dey, Jayeeta Mondal, Arijit Mukherjee

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Edge Acceleration of Deep Neural Networks.

Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee, Jeet Dutta, Arpan Pal, Balamurali P

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

2018

Partitioning of CNN Models for Execution on Fog Devices.

Swarnava Dey, Arijit Mukherjee, Arpan Pal, P. Balamuralidhar

Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing, 2018

Implementing Deep Learning and Inferencing on Fog and Edge Computing Systems.

Swarnava Dey, Arijit Mukherjee

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

(WIP) At Most M - A Flexible Redundancy Model for Cloud Robotics.

Swagata Biswas, Swarnava Dey, Arijit Mukherjee

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

A Distributed and Fault Tolerant Robotic Localisation and Mapping in Network Edge.

Swagata Biswas, Swarnava Dey, Rimita Lahiri, Arijit Mukherjee

Proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, 2017

2016

Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective.

Swarnava Dey, Arijit Mukherjee

Proceedings of the Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services, 2016

CAD Patient Classification Using MIMIC-II.

Swarnava Dey, Swagata Biswas, Arpan Pal, Arijit Mukherjee, Utpal Garain, Kayapanda M. Mandana

Proceedings of the eHealth 360°, 2016

2014

ANGELS for distributed analytics in IoT.

Arijit Mukherjee, Himadri Sekhar Paul, Swarnava Dey, Ansuman Banerjee

Proceedings of the IEEE World Forum on Internet of Things, 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

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 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

Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 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

Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

To Run or Not to Run: Predicting Resource Usage Pattern in a Smartphone.

Arijit Mukherjee, Anupam Basu, Swarnava Dey, Pubali Datta, Himadri Sekhar Paul

Proceedings of the Internet of Things. User-Centric IoT, 2014

2013

Utilising condor for data parallel analytics in an IoT context - An experience report.

Arijit Mukherjee, Swarnava Dey, Himadri Sekhar Paul, Batsayan Das

Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Offloading work to mobile devices: an availability-aware data partitioning approach.

Ansuman Banerjee, Arijit Mukherjee, Himadri Sekhar Paul, Swarnava Dey

Proceedings of the First International Workshop on Middleware for Cloud-enabled Sensing, 2013

Challenges of Using Edge Devices in IoT Computation Grids.

Swarnava Dey, Arijit Mukherjee, Himadri Sekhar Paul, Arpan Pal

Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

2012

Smart city surveillance: Leveraging benefits of cloud data stores.

Swarnava Dey, Ankur Chakraborty, Soumitra Naskar, Prateep Misra

Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

An Erasure Coded Archival Storage System.

Prateep Misra, Nilanjan Roy, Soumitra Naskar, Swarnava Dey

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012