Service-Based Distributed Querying on the Grid. - Mahmut Nedim Alpdemir; Arijit Mukherjee; Norman W. Paton; Paul Watson 001; Alvaro A. A. Fernandes; Anastasios Gounaris; Jim Smith 001 (ICSOC, 2003)

OGSA-DQP: A Service for Distributed Querying on the Grid. - Mahmut Nedim Alpdemir; Arijit Mukherjee; Anastasios Gounaris; Norman W. Paton; Paul Watson 001; Alvaro A. A. Fernandes; Desmond J. Fitzgerald (EDBT, 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 001; Peter Li (SAG, 2004)

Contextualised Workflow Execution in MyGrid. - Mahmut Nedim Alpdemir; Arijit Mukherjee; Norman W. Paton; Alvaro A. A. Fernandes; Paul Watson 001; Kevin Glover; Chris Greenhalgh; Thomas M. Oinn; Hannah J. Tipney (EGC, 2005)

Adding Dynamism to OGSA-DQP: Incorporating the DynaSOAr Framework in Distributed Query Processing. - Arijit Mukherjee; Paul Watson 001 (Euro-Par Workshops, 2006)

Dynamically Deploying Web Services on a Grid using Dynasoar. - Paul Watson 001; Chris Fowler; Charles Kubicek; Arijit Mukherjee; John Colquhoun; Mark Hewitt; Savas Parastatidis (ISORC, 2006)

Exploiting dynamic deployment in a distributed query processor for the grid. - Arijit Mukherjee (2008)

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 001 (Future Gener. Comput. Syst., 2009)

Data Analytics in Ubiquitous Sensor-Based Health Information Systems. - Arijit Mukherjee; Arpan Pal 001; Prateep Misra (NGMAST, 2012)

Case for dynamic deployment in a grid-based distributed query processor. - Arijit Mukherjee; Paul Watson 001 (Future Gener. Comput. Syst., 2012)

An Architecture for Dynamic Web Service Provisioning Using Peer-to-Peer Networks. - Sujoy Mistry; Dibyanshu Jaiswal; Sagar Virani; Arijit Mukherjee; Nandini Mukherjee (ICDCIT, 2013)

Challenges of Using Edge Devices in IoT Computation Grids. - Swarnava Dey; Arijit Mukherjee; Himadri Sekhar Paul; Arpan Pal 001 (ICPADS, 2013)

Offloading work to mobile devices: an availability-aware data partitioning approach. - Ansuman Banerjee; Arijit Mukherjee; Himadri Sekhar Paul; Swarnava Dey (MCS@Middleware, 2013)

Efficient Dynamic Service Provisioning over Distributed Resources Using Chord. - Dibyanshu Jaiswal; Sujoy Mistry; Arijit Mukherjee; Nandini Mukherjee (SITIS, 2013)

Utilising condor for data parallel analytics in an IoT context - An experience report. - Arijit Mukherjee; Swarnava Dey; Himadri Sekhar Paul; Batsayan Das (WiMob, 2013)

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 001 (ICPADS, 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 (IoT360 (1), 2014)

Model-Driven Development for Internet of Things: Towards Easing the Concerns of Application Developers. - Arpan Pal 001; Arijit Mukherjee; Balamuralidhar P (IoT360 (1), 2014)

Historical data based real time prediction of vehicle arrival time. - Santa Maiti; Arpan Pal 001; Arindam Pal 001; Tanushyam Chattopadhyay; Arijit Mukherjee (ITSC, 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 (MobiQuitous, 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 (ARMS-CC@PODC, 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 (SenSys, 2014)

ANGELS for distributed analytics in IoT. - Arijit Mukherjee; Himadri Sekhar Paul; Swarnava Dey; Ansuman Banerjee (WF-IoT, 2014)

P2P-Based Service Distribution over Distributed Resources. - Sujoy Mistry; Dibyanshu Jaiswal; Arijit Mukherjee; Nandini Mukherjee (AINA, 2015)

Organization and management of Semantic Sensor information using SSN ontology: An energy meter use case. - Sounak Dey; Dibyanshu Jaiswal; Ranjan Dasgupta; Arijit Mukherjee (ICST, 2015)

Automated Workflow Formation for IoT Analytics: A Case Study. - Tanushyam Chattopadhyay; Avik Ghose; Arijit Mukherjee; Santa Maiti; Arpan Pal 001 (IoT 360 (2), 2015)

A Semantic Algorithm Repository and Workflow Designer Tool: Signal Processing Use Case. - Sounak Dey; Dibyanshu Jaiswal; Himadri Sekhar Paul; Arijit Mukherjee (IoT 360 (2), 2015)

Compute on the Go: A Case of Mobile-Cloud Collaborative Computing Under Mobility. - Himadri Sekhar Paul; Pubali Datta; Ansuman Banerjee; Arijit Mukherjee (ARMS-CC@PODC, 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 001; Arijit Mukherjee (SenSys, 2015)

CAD Patient Classification Using MIMIC-II. - Swarnava Dey; Swagata Biswas; Arpan Pal 001; Arijit Mukherjee; Utpal Garain; Kayapanda M. Mandana (eHealth 360°, 2016)

Robotic SLAM: a Review from Fog Computing and Mobile Edge Computing Perspective. - Swarnava Dey; Arijit Mukherjee (MobiQuitous (Adjunct Proceedings), 2016)

I2oT: Inexactness in IoT. - Ansuman Banerjee; Himadri Sekhar Paul; Arijit Mukherjee (ARMS-CC@PODC, 2016)

P2P Based Service Provisioning on Distributed Resources. - Sujoy Mistry; Arijit Mukherjee; Nandini Mukherjee; Dibyanshu Jaiswal (Int. J. Next Gener. Comput., 2016)

Semantic data exchange between collaborative robots in fog environment: Can CoAP be a choice? - Sounak Dey; Abhijan Bhattacharyya; Arijit Mukherjee (GIoTS, 2017)

An Efficient MapReduce-Based Adaptive K-Means Clustering for Large Dataset. - Tapan Chowdhury; Arijit Mukherjee; Susanta Chakraborty (iNIS, 2017)

A Distributed and Fault Tolerant Robotic Localisation and Mapping in Network Edge. - Swagata Biswas; Swarnava Dey; Rimita Lahiri; Arijit Mukherjee (ARMS-CC@PODC, 2017)

(WIP) At Most M - A Flexible Redundancy Model for Cloud Robotics. - Swagata Biswas; Swarnava Dey; Arijit Mukherjee (IEEE CLOUD, 2018)

Modelling HTM Learning and Prediction for Robotic Path-Learning. - Kaustab Pal; Sakyajit Bhattacharya; Sounak Dey; Arijit Mukherjee (BioRob, 2018)

Verification and Timing Analysis of Industry 4.0 Warehouse Automation Workflows. - Ajay Kattepur; Arijit Mukherjee; Balamuralidhar P (ETFA, 2018)

Implementing Deep Learning and Inferencing on Fog and Edge Computing Systems. - Swarnava Dey; Arijit Mukherjee (PerCom Workshops, 2018)

Distributed optimization in multi-agent robotics for industry 4.0 warehouses. - Ajay Kattepur; Hemant Kumar Rath; Anantha Simha; Arijit Mukherjee (SAC, 2018)

Partitioning of CNN Models for Execution on Fog Devices. - Swarnava Dey; Arijit Mukherjee; Arpan Pal 001; P. Balamuralidhar (CitiFog@SenSys, 2018)

On the optimality of diverse expert panels in persuasion games. - Sourav Bhattacharya; Maria Goltsman; Arijit Mukherjee (Games Econ. Behav., 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)

Cross-Lingual Training for Automatic Question Generation. - Vishwajeet Kumar; Nitish Joshi; Arijit Mukherjee; Ganesh Ramakrishnan; Preethi Jyothi (ACL (1), 2019)

Edge Acceleration of Deep Neural Networks. - Jayeeta Mondal; Swarnava Dey; Arijit Mukherjee; Jeet Dutta; Arpan Pal 001; Balamurali P (MobiSys, 2019)

A Distributed Semantic Knowledge Framework for Collaborative Robotics. - Soumyadeep Choudhury; Sounak Dey; Arijit Mukherjee (PerCom Workshops, 2019)

Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights. - Swarnava Dey; Jayeeta Mondal; Arijit Mukherjee (PerCom Workshops, 2019)

Embedded Deep Inference in Practice: Case for Model Partitioning. - Swarnava Dey; Arijit Mukherjee; Arpan Pal 001; Balamuralidhar P (SenSys-ML, 2019)

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 001 (IJCNN, 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 (IJCNN, 2020)

On Improving Code Mixed Speech Synthesis with Mixlingual Grapheme-to-Phoneme Model. - Shubham Bansal; Arijit Mukherjee; Sandeepkumar Satpal; Rupesh Kumar Mehta (INTERSPEECH, 2020)

Information Disclosure through Technology Licensing. - Arijit Mukherjee; Aniruddha Bagchi (Games, 2020)

Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. - Kavya Borra; Ashwin Krishnan; Harshad Khadilkar; Manoj Nambiar 001; Ansuma Basumatary; Rekha Singhal; Arijit Mukherjee (AIMLSystems, 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 001 (AIMLSystems, 2022)

Automated Deep Learning Model Partitioning for Heterogeneous Edge Devices. - Arijit Mukherjee; Swarnava Dey (AIMLSystems, 2022)

TinyML Techniques for running Machine Learning models on Edge Devices. - Arijit Mukherjee; Arijit Ukil; Swarnava Dey; Gitesh Kulkarni (AIMLSystems, 2022)

Efficient Time Series Classification using Spiking Reservoir. - Sounak Dey; Dighanchal Banerjee; Arun M. George; Arijit Mukherjee; Arpan Pal 001 (IJCNN, 2022)

Text aware Emotional Text-to-speech with BERT. - Arijit Mukherjee; Shubham Bansal; Sandeepkumar Satpal; Rupesh K. Mehta (INTERSPEECH, 2022)

Efficient Optimized Spike Encoding of Multivariate Time-series. - Dighanchal Banerjee; Sounak Dey; Arun M. George; Arijit Mukherjee (NICE, 2022)

Competition and Innovation in Markets with Technology Leaders. - Ku-Chu Tsao; Arijit Mukherjee; Achintya Ray (Games, 2022)

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

Accelerated Fire Detection and Localization at Edge. - Arijit Mukherjee; Jayeeta Mondal; Swarnava Dey (ACM Trans. Embed. Comput. Syst., 2022)

TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition. - Syed Mujibul Islam; Jayeeta Mondal; Shalini Mukhopadhyay; Abhishek Roychoudhury; Swarnava Dey; Arijit Mukherjee (AIMLSystems, 2023)

Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge. - Jayeeta Mondal; Swarnava Dey; Arijit Mukherjee (AIMLSystems, 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 (IEEE Big Data, 2023)

Low Power & Low Latency Cloud Cover Detection in Small Satellites Using On-board Neuromorphic Processors. - Chetan Kadway; Sounak Dey; Arijit Mukherjee; Arpan Pal 001; Gilles Bézard (IJCNN, 2023)

Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network. - Sayan Kahali; Sounak Dey; Chetan Kadway; Arijit Mukherjee; Arpan Pal 001; Manan Suri (IJCNN, 2023)

Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline. - Jayeeta Mondal; Swarnava Dey; Arijit Mukherjee (CoRR, 2023)

Location of Firms and Outsourcing. - Stefano Colombo; Arijit Mukherjee (Games, 2023)

Online time-series forecasting using spiking reservoir. - Arun M. George; Sounak Dey; Dighanchal Banerjee; Arijit Mukherjee; Manan Suri (Neurocomputing, 2023)

Mergers of complements, endogenous product differentiation and welfare. - Tien-Der Han; Arijit Mukherjee (Math. Soc. Sci., 2023)

The Connection between Imported Inputs and Exports: The Importance of Strategic Interdependence. - Arijit Mukherjee; Yao Liu (Games, 2023)

What Makes Agility Fragile? A Dynamic Theory of Organizational Rigidity. - Jin Li; Arijit Mukherjee; Luís Vasconcelos (Manag. Sci., 2023)

ERATTA: Extreme RAG for enterprise-Table To Answers with Large Language Models. - Sohini Roychowdhury; Marko Krema; Anvar Mahammad; Brian Moore; Arijit Mukherjee; Punit Prakashchandra (IEEE Big Data, 2024)

Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models. - Swarnava Dey; Arijit Mukherjee; Arijit Ukil; Arpan Pal 001 (EdgeFM@MobiSys, 2024)

Time Series Classification on Edge with Lightweight Attention Networks. - Shalini Mukhopadhyay; Swarnava Dey; Arijit Mukherjee; Arpan Pal 001; Ashwin S (PerCom Workshops, 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)

SHIKSHA: Smart Hybrid Intelligent Knowledge System for Helping Academia. - Aishik Paul; Abhisri Shaha; Arijit Mukherjee; Debajit Guha; Priyam Das; Ankan Das; Anurina Tarafdar; Anindya Sen (ICAA, 2025)

Y-Net: A Compact Edge-Friendly Model for Multi-Modal Medical Image Segmentation. - Soma Dasgupta; Swarnava Dey; Avik Ghose; Arijit Mukherjee; Arpan Pal 001 (PerCom Workshops, 2025)