Arijit Mukherjee

Orcid: 0000-0001-5052-4476

According to our database1, Arijit Mukherjee authored at least 77 papers between 2003 and 2024.

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Bibliography

2024
ERATTA: Extreme RAG for Table To Answers with Large Language Models.
CoRR, 2024

Time Series Classification on Edge with Lightweight Attention Networks.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models.
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023
What Makes Agility Fragile? A Dynamic Theory of Organizational Rigidity.
Manag. Sci., June, 2023

The Connection between Imported Inputs and Exports: The Importance of Strategic Interdependence.
Games, February, 2023

Mergers of complements, endogenous product differentiation and welfare.
Math. Soc. Sci., 2023

Online time-series forecasting using spiking reservoir.
Neurocomputing, 2023

Location of Firms and Outsourcing.
Games, 2023

Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline.
CoRR, 2023

Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

Low Power & Low Latency Cloud Cover Detection in Small Satellites Using On-board Neuromorphic Processors.
Proceedings of the International Joint Conference on Neural Networks, 2023

Hallucination-minimized Data-to-answer Framework for Financial Decision-makers.
Proceedings of the IEEE International Conference on Big Data, 2023

Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge.
Proceedings of the Third International Conference on AI-ML Systems, 2023

TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition.
Proceedings of the Third International Conference on AI-ML Systems, 2023

2022
Accelerated Fire Detection and Localization at Edge.
ACM Trans. Embed. Comput. Syst., November, 2022

Social desirability of entry in a bilateral oligopoly - The implications of (non) sunk costs.
Math. Soc. Sci., 2022

Competition and Innovation in Markets with Technology Leaders.
Games, 2022

Efficient Optimized Spike Encoding of Multivariate Time-series.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Text aware Emotional Text-to-speech with BERT.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Efficient Time Series Classification using Spiking Reservoir.
Proceedings of the International Joint Conference on Neural Networks, 2022

TinyML Techniques for running Machine Learning models on Edge Devices.
Proceedings of the Second International Conference on AI-ML Systems, 2022

Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices.
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.
Proceedings of the Second International Conference on AI-ML Systems, 2022

Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA.
Proceedings of the Second International Conference on AI-ML Systems, 2022

2020
Information Disclosure through Technology Licensing.
Games, 2020

On Improving Code Mixed Speech Synthesis with Mixlingual Grapheme-to-Phoneme Model.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Reservoir-based Convolutional Spiking Neural Network for Gesture Recognition from DVS Input.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Application of Spiking Neural Networks for Action Recognition from Radar Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Embedded Deep Inference in Practice: Case for Model Partitioning.
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.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Distributed Semantic Knowledge Framework for Collaborative Robotics.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Edge Acceleration of Deep Neural Networks.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Cross-Lingual Training for Automatic Question Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Distributed Optimization Framework for Industry 4.0 Automated Warehouses.
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018

On the optimality of diverse expert panels in persuasion games.
Games Econ. Behav., 2018

Partitioning of CNN Models for Execution on Fog Devices.
Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing, 2018

Distributed optimization in multi-agent robotics for industry 4.0 warehouses.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Implementing Deep Learning and Inferencing on Fog and Edge Computing Systems.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Verification and Timing Analysis of Industry 4.0 Warehouse Automation Workflows.
Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

Modelling HTM Learning and Prediction for Robotic Path-Learning.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

(WIP) At Most M - A Flexible Redundancy Model for Cloud Robotics.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
A Distributed and Fault Tolerant Robotic Localisation and Mapping in Network Edge.
Proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, 2017

An Efficient MapReduce-Based Adaptive K-Means Clustering for Large Dataset.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2017

Semantic data exchange between collaborative robots in fog environment: Can CoAP be a choice?
Proceedings of the Global Internet of Things Summit, 2017

2016
P2P Based Service Provisioning on Distributed Resources.
Int. J. Next Gener. Comput., 2016

I2oT: Inexactness in IoT.
Proceedings of the Third International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, 2016

Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective.
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.
Proceedings of the eHealth 360°, 2016

2015
Demo: A Smart Framework for IoT Analytic Workflow Development.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Compute on the Go: A Case of Mobile-Cloud Collaborative Computing Under Mobility.
Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2015

A Semantic Algorithm Repository and Workflow Designer Tool: Signal Processing Use Case.
Proceedings of the Internet of Things. IoT Infrastructures, 2015

Automated Workflow Formation for IoT Analytics: A Case Study.
Proceedings of the Internet of Things. IoT Infrastructures, 2015

Organization and management of Semantic Sensor information using SSN ontology: An energy meter use case.
Proceedings of the 9th International Conference on Sensing Technology, 2015

P2P-Based Service Distribution over Distributed Resources.
Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications, 2015

2014
ANGELS for distributed analytics in IoT.
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.
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.
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.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

Historical data based real time prediction of vehicle arrival time.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Model-Driven Development for Internet of Things: Towards Easing the Concerns of Application Developers.
Proceedings of the Internet of Things. User-Centric IoT, 2014

To Run or Not to Run: Predicting Resource Usage Pattern in a Smartphone.
Proceedings of the Internet of Things. User-Centric IoT, 2014

An access point to device association technique for optimized data transfer in mobile grids.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013
Utilising condor for data parallel analytics in an IoT context - An experience report.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Efficient Dynamic Service Provisioning over Distributed Resources Using Chord.
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

Offloading work to mobile devices: an availability-aware data partitioning approach.
Proceedings of the First International Workshop on Middleware for Cloud-enabled Sensing, 2013

Challenges of Using Edge Devices in IoT Computation Grids.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

An Architecture for Dynamic Web Service Provisioning Using Peer-to-Peer Networks.
Proceedings of the Distributed Computing and Internet Technology, 2013

2012
Case for dynamic deployment in a grid-based distributed query processor.
Future Gener. Comput. Syst., 2012

Data Analytics in Ubiquitous Sensor-Based Health Information Systems.
Proceedings of the Sixth International Conference on Next Generation Mobile Applications, 2012

2009
The design and implementation of OGSA-DQP: A service-based distributed query processor.
Future Gener. Comput. Syst., 2009

2008
Exploiting dynamic deployment in a distributed query processor for the grid.
PhD thesis, 2008

2006
Dynamically Deploying Web Services on a Grid using Dynasoar.
Proceedings of the Ninth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC 2006), 2006

Adding Dynamism to OGSA-DQP: Incorporating the DynaSOAr Framework in Distributed Query Processing.
Proceedings of the Euro-Par 2006 Workshops: Parallel Processing, 2006

2005
Contextualised Workflow Execution in MyGrid.
Proceedings of the Advances in Grid Computing, 2005

2004
Using OGSA-DQP to Support Scientific Applications for the Grid.
Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004

OGSA-DQP: A Service for Distributed Querying on the Grid.
Proceedings of the Advances in Database Technology, 2004

2003
Service-Based Distributed Querying on the Grid.
Proceedings of the Service-Oriented Computing, 2003


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