| Smart city surveillance: Leveraging benefits of cloud data stores S Dey, A Chakraborty, S Naskar, P Misra Local Computer Networks Workshops (LCN Workshops), 2012 IEEE 37th Conference …, 2012 | 71 | 2012 |
| ANGELS for distributed analytics in IoT A Mukherjee, HS Paul, S Dey, A Banerjee 2014 IEEE World Forum on Internet of Things (WF-IoT), 565-570, 2014 | 66 | 2014 |
| Robotic slam: a review from fog computing and mobile edge computing perspective S Dey, A Mukherjee Adjunct Proceedings of the 13th International Conference on Mobile and …, 2016 | 65 | 2016 |
| Challenges of using edge devices in IoT computation grids S Dey, A Mukherjee, HS Paul, A Pal 2013 International Conference on Parallel and Distributed Systems, 564-569, 2013 | 42 | 2013 |
| Offloaded execution of deep learning inference at edge: Challenges and insights S Dey, J Mondal, A Mukherjee 2019 IEEE International Conference on Pervasive Computing and Communications …, 2019 | 34 | 2019 |
| Partitioning of cnn models for execution on fog devices S Dey, A Mukherjee, A Pal, P Balamuralidhar Proceedings of the 1st ACM international workshop on smart cities and fog …, 2018 | 30 | 2018 |
| Task execution by idle resources in grid computing system S Dey, A Pal, A Mukherjee, HS Paul US Patent 9,201,686, 2015 | 28 | 2015 |
| Implementing deep learning and inferencing on fog and edge computing systems S Dey, A Mukherjee 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018 | 27 | 2018 |
| Utilising condor for data parallel analytics in an IoT context—An experience report A Mukherjee, S Dey, HS Paul, B Das 2013 IEEE 9th International Conference on Wireless and Mobile Computing …, 2013 | 23 | 2013 |
| Data partitioning in internet-of-things (IOT) network HS Paul, A Mukherjee, S Dey, A Pal, A Banerjee US Patent 10,516,726, 2019 | 21 | 2019 |
| Embedded deep inference in practice: Case for model partitioning S Dey, A Mukherjee, A Pal, B P Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor …, 2019 | 17 | 2019 |
| Adaptive resource management and scheduling for cloud computing F Pop, M Potop-Butucaru First International Workshop, ARMS-CC, 68, 2014 | 17 | 2014 |
| System and method for distributed computation using heterogeneous computing nodes A Mukherjee, S Bandyopadhyay, A Ukil, A Bhattacharyya, S Dey, A Pal, ... US Patent 11,062,047, 2021 | 16 | 2021 |
| Future of healthcare—sensor data-driven prognosis A Pal, A Mukherjee, S Dey Wireless World in 2050 and Beyond: A Window into the Future!, 93-109, 2016 | 16 | 2016 |
| ANGELS: A framework for mobile grids P Datta, S Dey, HS Paul, A Mukherjee 2014 Applications and innovations in mobile computing (AIMoC), 15-20, 2014 | 14 | 2014 |
| Generating tiny deep neural networks for ecg classification on micro-controllers S Mukhopadhyay, S Dey, A Ghose, P Singh, P Dasgupta 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 12 | 2023 |
| Fast boot user experience using adaptive storage partitioning S Dey, R Dasgupta 2009 Computation World: Future Computing, Service Computation, Cognitive …, 2009 | 12 | 2009 |
| Wireless World in 2050 and beyond: A window into the future! R Prasad, S Dixit Springer International Publishing, 2016 | 10 | 2016 |
| Cad patient classification using mimic-ii S Dey, S Biswas, A Pal, A Mukherjee, U Garain, K Mandana eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16 …, 2017 | 8 | 2017 |
| A framework for speculative scheduling and device selection for task execution on a mobile cloud A Banerjee, HS Paul, A Mukherjee, S Dey, P Datta Adaptive Resource Management and Scheduling for Cloud Computing: First …, 2014 | 8 | 2014 |
Arijit MukherjeePrincipal Scientist, Embedded Devices & Intelligent Systems, TCS Research, Tata ConsultancyVerified email at tcs.com
