Gaurav Shinde Webpage

About

I am a PhD researcher at the MPSC Lab under Nirmalya Roy and Anuradha Ravi. My research interests lie in distributed task execution and decision‐making for autonomous agents in contested environments. Previously, I worked as a Research Assistant at MiCoSys Lab with Saptarshi Sengupta, where I developed deep learning techniques to predict the remaining useful life of Li-ion batteries.

News

08/2025 – Demonstrated remote robotics experimentation on autonomous navigation and physiological health sensing at Graces Quarters under ArtiAMAS project.
06/2025 – Paper accepted at WIREs Data Mining and Knowledge Discovery (DMKD). (IF 11.7)
06/2025 – Selected as the publicity co-chair for International Conference on COMmunication Systems & NETworkS (COMSNETS).
04/2025 – Paper accepted at IEEE SmartComp’25. Contribution: Respiratory Signal Reconstruction & Prediction using contactless sensing
04/2025 – Paper accepted at IEEE DCOSS-IoT’25. Contribution: Multimodal Cooperative Perception & Task Execution for Distributed Systems
03/2025 – Awarded NSF Travel Grant for PerCom’25.
01/2025 – Paper accepted at PerCom ’25. (17% Acceptance) Contribution: Task & Channel-Aware Variable Rate Image Compression for Distributed Autonomous Systems
08/2024 – Joined University of Maryland, Baltimore County as a PhD Researcher.

Selected Publications

DMKD

A Survey on Efficient Vision Language Models

Gaurav Shinde, Anuradha Ravi, Emon Dey, Shadman Sakib, Milind Rampure, Nirmalya Roy

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PerCom'25

TAVIC-DAS: Task and Channel-Aware Variable-Rate Image Compression for Distributed Autonomous System

Gaurav Shinde, Anuradha Ravi, Emon Dey, Jared Lewis, Nirmalya Roy

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SmartComp'25

E2RespUNet: End-to-End Respiratory Signal Reconstruction and Rate Prediction Using a Unified Attention-Enhanced U-Net

Shadman Sakib, Gaurav Shinde, Emon Dey, Nirmalya Roy

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DCOSS-IoT'25

CoOpTex: Multimodal Cooperative Perception and Task Execution in Time-critical Distributed Autonomous system

Mohammad Saeid Anwar, Anuradha Ravi, Emon Dey, Gaurav Shinde, Indrajeet Ghosh, Jade Freeman, Carl Busart, Andre Harrison, Nirmalya Roy

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BigData'23

De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics

Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta

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