Projects & Research

Explore our flagship projects, datasets, and toolkits below — or see our full list of publications.

All Research Areas Air Quality Health Sensing NILM Computer Vision Machine Learning NLP Policy Sustainability IoT

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📄 Publication

NILMBench2026: A Benchmark for Energy Disaggregation

A reproducible benchmark for energy disaggregation (NILM). 🏆 Best Paper Award Runner-Up at ACM BuildSys 2026 — led entirely by second-year undergraduates.

NILM Machine Learning

Paper → Publications

📄 Publication

ThermEval: Benchmarking VLMs on Thermal Imagery

A structured benchmark for evaluating vision-language models (VLMs) on thermal imagery. Accepted at KDD 2026.

Health Sensing Computer Vision

Project Page → Publications

📊 Dataset

SentinelKilnDB: Brick Kiln Detection Dataset

A large-scale dataset and benchmark for oriented brick-kiln detection across South Asia from satellite imagery. NeurIPS 2025 Datasets & Benchmarks Track.

Computer Vision Sustainability

Project Page → Dataset

🔬 Research Project

Space to Policy: Brick Kiln Monitoring

Comprehensive research project using satellite imagery and AI to monitor environmental compliance and inform policy decisions for brick kiln operations.

Computer Vision Sustainability Policy Air Quality

Explore Project → GitHub

🔬 Research Project

JoulesEye

Revolutionary energy expenditure estimation and respiration sensing from thermal imagery during exercise.

Health Sensing Computer Vision

Explore Project → Paper

🔬 Research Project

VayuBuddy

An LLM-powered chatbot system to reduce the barrier between stakeholders and air quality sensor data.

Air Quality NLP Policy

Explore Project → Try Demo

🔬 Research Project

SpiroMask

Smart respiratory monitoring system transforming regular face masks into health sensing devices.

Health Sensing IoT

Learn More → GitHub

🛠️ Toolkit

NILMTK

An Open Source Toolkit for Non-intrusive Load Monitoring - pioneering framework for energy disaggregation research.

NILM Machine Learning

GitHub → Paper

📊 Dataset

AirDelhi

A fine-grained air quality dataset from mobile sensors on Delhi buses, enabling better pollution monitoring.

Air Quality Dataset Machine Learning

NeurIPS → GitHub

📚 Exposition

Active Learning: A Visual Tour

An interactive visual guide that demystifies active learning strategies through intuitive animations and examples.

Machine Learning

Explore →

📚 Exposition

Exploring Bayesian Optimization

An interactive and visual guide that breaks down Bayesian Optimization into intuitive concepts.

Machine Learning

Distill →

📄 Publication

Accurate and Scalable Gaussian Processes

Machine learning approach for fine-grained air quality inference using Gaussian processes at scale.

Air Quality Machine Learning

Paper → GitHub

📄 Publication

Samachar: Print News Media on Air Pollution

Analyzing how air quality is covered in Indian print media using natural language processing.

Air Quality NLP Policy

Paper → GitHub

📄 Publication

“I do not know”: Quantifying Uncertainty in NILM

Quantifying uncertainty in neural network approaches for non-intrusive load monitoring.

NILM Machine Learning

Paper → GitHub

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