Sustainability Lab
Harnessing AI to create a sustainable future where technology serves both people and planet
Led by Prof. Nipun BatraAssociate Professor, Computer Science, IIT Gandhinagar
What We Work On
Four research areas where we build AI for real-world sustainability.
Air Quality
Low-cost sensing, satellite AI, and forecasting for cleaner air across cities.
Explore projects โHealth Sensing
Wearables and thermal imaging for respiratory and metabolic health.
Explore projects โEnergy & NILM
Energy disaggregation and smart-grid ML โ knowing what draws power, and when.
Explore projects โEarth Observation
Detecting brick kilns and mapping land use from satellite imagery.
Explore projects โFeatured Research
Cutting-edge projects at the intersection of AI and sustainability
JoulesEye
Revolutionary energy expenditure estimation and respiration sensing from thermal imagery during exercise.
SpiroMask
Smart respiratory monitoring system transforming regular face masks into health sensing devices.
โI do not knowโ
Quantifying Uncertainty in Neural Network Based Approaches for Non-Intrusive Load Monitoring
SentinelKilnDB
A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery.
Space to Policy
Using satellite imagery and AI to monitor environmental compliance and inform policy decisions.
VayuBuddy
An LLM-powered chatbot system to reduce the barrier between the stakeholders and air quality sensor data
Samachar
Print News Media on Air Pollution in India - analyzing how air quality is covered in Indian print media.
Accurate and Scalable Gaussian Processes
Machine learning approach for fine-grained air quality inference using Gaussian processes at scale.
NILMTK
An Open Source Toolkit for Non-intrusive Load Monitoring - pioneering framework for energy disaggregation research.
AirDelhi
A fine-grained air quality dataset from mobile sensors on Delhi buses, enabling better pollution monitoring.
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Embark on a journey to drive innovation in sustainability through cutting-edge AI research.
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