Arijit Mukherjee

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

Collaborative distances:

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

2024

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

Sohini Roychowdhury, Marko Krema, Anvar Mahammad, Brian Moore, Arijit Mukherjee, Punit Prakashchandra

CoRR, 2024

Time Series Classification on Edge with Lightweight Attention Networks.

Shalini Mukhopadhyay, Swarnava Dey, Arijit Mukherjee, Arpan Pal, Ashwin S

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.

Swarnava Dey, Arijit Mukherjee, Arijit Ukil, Arpan Pal

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

2023

What Makes Agility Fragile? A Dynamic Theory of Organizational Rigidity.

Jin Li, Arijit Mukherjee, Luís Vasconcelos

Manag. Sci., June, 2023

The Connection between Imported Inputs and Exports: The Importance of Strategic Interdependence.

Arijit Mukherjee, Yao Liu

Games, February, 2023

Mergers of complements, endogenous product differentiation and welfare.

Tien-Der Han, Arijit Mukherjee

Math. Soc. Sci., 2023

Online time-series forecasting using spiking reservoir.

Arun M. George, Sounak Dey, Dighanchal Banerjee, Arijit Mukherjee, Manan Suri

Neurocomputing, 2023

Location of Firms and Outsourcing.

Stefano Colombo, Arijit Mukherjee

Games, 2023

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

Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee

CoRR, 2023

Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network.

Sayan Kahali, Sounak Dey, Chetan Kadway, Arijit Mukherjee, Arpan Pal, Manan Suri

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.

Chetan Kadway, Sounak Dey, Arijit Mukherjee, Arpan Pal, Gilles Bézard

Proceedings of the International Joint Conference on Neural Networks, 2023

Hallucination-minimized Data-to-answer Framework for Financial Decision-makers.

Sohini Roychowdhury, Andres Alvarez, Brian Moore, Marko Krema, Maria Paz Gelpi, Punit Agrawal, Federico Martin Rodriguez, Angel Rodriguez, Jose Ramon Cabrejas, Pablo Martinez Serrano, Arijit Mukherjee

Proceedings of the IEEE International Conference on Big Data, 2023

Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge.

Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee

Proceedings of the Third International Conference on AI-ML Systems, 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

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

Accelerated Fire Detection and Localization at Edge.

Arijit Mukherjee, Jayeeta Mondal, Swarnava Dey

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

Social desirability of entry in a bilateral oligopoly - The implications of (non) sunk costs.

Arijit Mukherjee, Chenhang Zeng

Math. Soc. Sci., 2022

Competition and Innovation in Markets with Technology Leaders.

Ku-Chu Tsao, Arijit Mukherjee, Achintya Ray

Games, 2022

Efficient Optimized Spike Encoding of Multivariate Time-series.

Dighanchal Banerjee, Sounak Dey, Arun M. George, Arijit Mukherjee

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Text aware Emotional Text-to-speech with BERT.

Arijit Mukherjee, Shubham Bansal, Sandeepkumar Satpal, Rupesh K. Mehta

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Efficient Time Series Classification using Spiking Reservoir.

Sounak Dey, Dighanchal Banerjee, Arun M. George, Arijit Mukherjee, Arpan Pal

Proceedings of the International Joint Conference on Neural Networks, 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

Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA.

Kavya Borra, Ashwin Krishnan, Harshad Khadilkar, Manoj Nambiar, Ansuma Basumatary, Rekha Singhal, Arijit Mukherjee

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

2020

Information Disclosure through Technology Licensing.

Arijit Mukherjee, Aniruddha Bagchi

Games, 2020

On Improving Code Mixed Speech Synthesis with Mixlingual Grapheme-to-Phoneme Model.

Shubham Bansal, Arijit Mukherjee, Sandeepkumar Satpal, Rupesh Kumar Mehta

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.

Arun M. George, Dighanchal Banerjee, Sounak Dey, Arijit Mukherjee, P. Balamurali

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Application of Spiking Neural Networks for Action Recognition from Radar Data.

Dighanchal Banerjee, Smriti Rani, Arun M. George, Arijit Chowdhury, Sounak Dey, Arijit Mukherjee, Tapas Chakravarty, Arpan Pal

Proceedings of the 2020 International Joint Conference on Neural Networks, 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

A Distributed Semantic Knowledge Framework for Collaborative Robotics.

Soumyadeep Choudhury, Sounak Dey, 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

Cross-Lingual Training for Automatic Question Generation.

Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Distributed Optimization Framework for Industry 4.0 Automated Warehouses.

Ajay Kattepur, Hemant Kumar Rath, Arijit Mukherjee, Anantha Simha

EAI Endorsed Trans. Ind. Networks Intell. Syst., 2018

On the optimality of diverse expert panels in persuasion games.

Sourav Bhattacharya, Maria Goltsman, Arijit Mukherjee

Games Econ. Behav., 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

Distributed optimization in multi-agent robotics for industry 4.0 warehouses.

Ajay Kattepur, Hemant Kumar Rath, Anantha Simha, Arijit Mukherjee

Proceedings of the 33rd Annual ACM Symposium on Applied 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

Verification and Timing Analysis of Industry 4.0 Warehouse Automation Workflows.

Ajay Kattepur, Arijit Mukherjee, Balamuralidhar P

Proceedings of the 23rd IEEE International Conference on Emerging Technologies and Factory Automation, 2018

Modelling HTM Learning and Prediction for Robotic Path-Learning.

Kaustab Pal, Sakyajit Bhattacharya, Sounak Dey, Arijit Mukherjee

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 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

An Efficient MapReduce-Based Adaptive K-Means Clustering for Large Dataset.

Tapan Chowdhury, Arijit Mukherjee, Susanta Chakraborty

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?

Sounak Dey, Abhijan Bhattacharyya, Arijit Mukherjee

Proceedings of the Global Internet of Things Summit, 2017

2016

P2P Based Service Provisioning on Distributed Resources.

Sujoy Mistry, Arijit Mukherjee, Nandini Mukherjee, Dibyanshu Jaiswal

Int. J. Next Gener. Comput., 2016

I2oT: Inexactness in IoT.

Ansuman Banerjee, Himadri Sekhar Paul, Arijit Mukherjee

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.

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

2015

Demo: A Smart Framework for IoT Analytic Workflow Development.

Dibyanshu Jaiswal, Pubali Datta, Sounak Dey, Himadri Sekhar Paul, Tanushyam Chattopadhyay, Avik Ghose, Abhishek Singh, Arpan Pal, Arijit Mukherjee

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.

Himadri Sekhar Paul, Pubali Datta, Ansuman Banerjee, Arijit Mukherjee

Proceedings of the Adaptive Resource Management and Scheduling for Cloud Computing, 2015

A Semantic Algorithm Repository and Workflow Designer Tool: Signal Processing Use Case.

Sounak Dey, Dibyanshu Jaiswal, Himadri Sekhar Paul, Arijit Mukherjee

Proceedings of the Internet of Things. IoT Infrastructures, 2015

Automated Workflow Formation for IoT Analytics: A Case Study.

Tanushyam Chattopadhyay, Avik Ghose, Arijit Mukherjee, Santa Maiti, Arpan Pal

Proceedings of the Internet of Things. IoT Infrastructures, 2015

Organization and management of Semantic Sensor information using SSN ontology: An energy meter use case.

Sounak Dey, Dibyanshu Jaiswal, Ranjan Dasgupta, Arijit Mukherjee

Proceedings of the 9th International Conference on Sensing Technology, 2015

P2P-Based Service Distribution over Distributed Resources.

Sujoy Mistry, Dibyanshu Jaiswal, Arijit Mukherjee, Nandini Mukherjee

Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications, 2015

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

Historical data based real time prediction of vehicle arrival time.

Santa Maiti, Arpan Pal, Arindam Pal, Tanushyam Chattopadhyay, Arijit Mukherjee

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.

Arpan Pal, Arijit Mukherjee, Balamuralidhar P

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

An access point to device association technique for optimized data transfer in mobile grids.

Ansuman Banerjee, Himadri Sekhar Paul, Arijit Mukherjee, Pubali Datta, Sajal K. Das

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.

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

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

Efficient Dynamic Service Provisioning over Distributed Resources Using Chord.

Dibyanshu Jaiswal, Sujoy Mistry, Arijit Mukherjee, Nandini Mukherjee

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.

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

An Architecture for Dynamic Web Service Provisioning Using Peer-to-Peer Networks.

Sujoy Mistry, Dibyanshu Jaiswal, Sagar Virani, Arijit Mukherjee, Nandini Mukherjee

Proceedings of the Distributed Computing and Internet Technology, 2013

2012

Case for dynamic deployment in a grid-based distributed query processor.

Arijit Mukherjee, Paul Watson

Future Gener. Comput. Syst., 2012

Data Analytics in Ubiquitous Sensor-Based Health Information Systems.

Arijit Mukherjee, Arpan Pal, Prateep Misra

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.

Steven J. Lynden, Arijit Mukherjee, Alastair C. Hume, Alvaro A. A. Fernandes, Norman W. Paton, Rizos Sakellariou, Paul Watson

Future Gener. Comput. Syst., 2009

2008

Exploiting dynamic deployment in a distributed query processor for the grid.

Arijit Mukherjee

PhD thesis, 2008

2006

Dynamically Deploying Web Services on a Grid using Dynasoar.

Paul Watson, Chris Fowler, Charles Kubicek, Arijit Mukherjee, John Colquhoun, Mark Hewitt, Savas Parastatidis

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.

Arijit Mukherjee, Paul Watson

Proceedings of the Euro-Par 2006 Workshops: Parallel Processing, 2006

2005

Contextualised Workflow Execution in MyGrid.

Mahmut Nedim Alpdemir, Arijit Mukherjee, Norman W. Paton, Alvaro A. A. Fernandes, Paul Watson, Kevin Glover, Chris Greenhalgh, Thomas M. Oinn, Hannah J. Tipney

Proceedings of the Advances in Grid Computing, 2005

2004

Using OGSA-DQP to Support Scientific Applications for the Grid.

Mahmut Nedim Alpdemir, Arijit Mukherjee, Anastasios Gounaris, Norman W. Paton, Alvaro A. A. Fernandes, Rizos Sakellariou, Paul Watson, Peter Li

Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004

OGSA-DQP: A Service for Distributed Querying on the Grid.

Mahmut Nedim Alpdemir, Arijit Mukherjee, Anastasios Gounaris, Norman W. Paton, Paul Watson, Alvaro A. A. Fernandes, Desmond J. Fitzgerald

Proceedings of the Advances in Database Technology, 2004

2003

Service-Based Distributed Querying on the Grid.

Mahmut Nedim Alpdemir, Arijit Mukherjee, Norman W. Paton, Paul Watson, Alvaro A. A. Fernandes, Anastasios Gounaris, Jim Smith

Proceedings of the Service-Oriented Computing, 2003