
Nipun Batra
@nipun_batra
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Associate Professor of CS at IIT Gandhinagar AI/Machine learning/Sensors for Sustainability
Joined November 2011
Happy to share that our @Indiaacm summer school on AI for Social Good @cse_iitgn @iitgn (co-organized with @adagu and co-sponsored by @TCSResearch , @netwebtech) started on 2nd June (runs till 13th June) at IIT Gandhinagar. Wonderful set of talks from leaders across industry,
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Working on energy, climate, or sustainability, health with AI or sensing?. Happy to connect. More on our lab: #NILMTK #AIforSustainability #SIGEnergy #OpenScience #TestOfTime #NILM #ACMeEnergy #ClimateTech.
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π Rising Star Award recognizes young researchers for impactful work. Thank you to the @ACM_SIGEnergy community for this incredible encouragement. Reproducibility, scalability, uncertainty β at the heart of our research on NILM, energy, and sustainability.
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π Test of Time Award is given to papers that shaped future energy systems + informatics. Thank you to co-authors + mentors who made this possible:. My advisors: @Zen_amarjeet and Kamin Whitehouse. My co-authors and mentors: Pandarasamy Arjunan, vibhuti bansal, Mario Berges,.
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π Two awards. One moment. A decade of open science. Today at #ACMeEnergy 2025, I was honored to receive:. π Test of Time Award for #NILMTK.π ACM SIGEnergy Rising Star Award.A short story of gratitude π
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@uditbhatiaiitgn We are happy to share that Prof. Krishna Prasad, Associate Professor at IIT Gandhinagar, delivered an insightful session on Brain-Computer Interfacing (BCI). The talk introduced BCI as a cutting-edge field enabling direct communication between the brain and external devices. It
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@uditbhatiaiitgn In the next session, I discussed how Large Language Models (LLMs) can be used to tackle pressing challenges in air quality monitoring and analysis. The session focused on combining structured environmental data with the reasoning power of LLMs, especially under data-scarce
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In the next session, Prof. @uditbhatiaiitgn , Associate Professor at IIT Gandhinagar, delivered a compelling talk on Physics-guided Machine Learning for Water and Floods. He explained how integrating physical principles with machine learning helps build more robust, reliable,
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@Indiaacm @cse_iitgn @iitgn @adagu @TCSResearch @netwebtech @directoriitgn @profoona @Shriman_Ayush @VNPadmanabhan @Microsoft @pals_b @ShataxiDubey @devanshlodha_12 @uditbhatiaiitgn @patel_zeel_ @jigarkdoshi @shanmugaphoto @vaibhav_3pathi @rishihere We ended week 1 (day 5 last session) with a hands-on tutorial by @Shriman_Ayush and @rishihere on Smartphone-based Health Sensing and Heart Rate Prediction. The talk highlighted how smartphones can be leveraged as accessible health monitoring tools. It included a hands-on
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@Indiaacm @cse_iitgn @iitgn @adagu @TCSResearch @netwebtech @directoriitgn @profoona @Shriman_Ayush @VNPadmanabhan @Microsoft @pals_b @ShataxiDubey @devanshlodha_12 @uditbhatiaiitgn @patel_zeel_ @jigarkdoshi @shanmugaphoto @vaibhav_3pathi In the next session, @rishihere and Niladri from Jio delivered a session on AI for Sustainability focused on connected and intelligent energy products. They discussed Jioβs vision for a sustainable energy future, highlighting how AI-driven solutions are transforming energy
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@Indiaacm @cse_iitgn @iitgn @adagu @TCSResearch @netwebtech @directoriitgn @profoona @Shriman_Ayush @VNPadmanabhan @Microsoft @pals_b @ShataxiDubey @devanshlodha_12 @uditbhatiaiitgn @patel_zeel_ @jigarkdoshi @shanmugaphoto @vaibhav_3pathi On day 5, Aman Patel, student at IIT Gandhinagar under Prof. Udit Bhatia, presented an intriguing session titled "Understanding the Unruly: When Components Collide.". The talk delved into:. - Complex system behaviors from interacting components.- Emergent
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@Indiaacm @cse_iitgn @iitgn @adagu @TCSResearch @netwebtech @directoriitgn @profoona @Shriman_Ayush @VNPadmanabhan @Microsoft @pals_b @ShataxiDubey @devanshlodha_12 @uditbhatiaiitgn @patel_zeel_ @jigarkdoshi @shanmugaphoto @vaibhav_3pathi In the next tutorial, @patel_zeel_ PhD student at IIT Gandhinagar conducted a session on Fine-tuning Large Language Models (LLMs). The session explored how LLMs can be adapted for specific NLP tasks and included a hands-on tutorial to help participants understand practical
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@Indiaacm @cse_iitgn @iitgn @adagu @TCSResearch @netwebtech @directoriitgn @profoona @Shriman_Ayush @VNPadmanabhan @Microsoft @pals_b @ShataxiDubey @devanshlodha_12 @uditbhatiaiitgn @patel_zeel_ @jigarkdoshi @shanmugaphoto In the next talk, @vaibhav_3pathi We are happy to share that Prof. Vaibhav Tripathi, Assistant Professor in the Department of Cognitive and Brain Sciences delivered a thought-provoking session on Connectome-based Predictive Modeling. He addressed key questions like why and how
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