7th Edition

IndoML 2026

Indian Symposium on Machine Learning

December 18-20, 2026 IIT Kharagpur – Kolkata Extension Centre

Welcome to IndoML 2026

The Seventh Indian Symposium on Machine Learning (IndoML) will be hosted by the IIT Kharagpur – Kolkata Extension Centre during December 18-20, 2026.

The symposium aims to be a forum to discuss state-of-the-art ML research through invited talks from leading experts within India and abroad. IndoML fosters mentoring of Indian Ph.D./Master students to network with their peers, seek expert guidance and develop early-stage collaborations.

IndoML aims to provide an opportunity for the faculty to engage with leading research groups in the country and conduct high-quality research leading to competitive publications. It will also provide a platform for industrial partners, including startups, working in ML-related areas to showcase their products and receive reviews/feedback as well as setup potential collaborations.

400+
Registered Scholars
20+
Invited Talks
40+
Expert Committee
7th
Annual Edition

IIT Kharagpur Research Park

Rajarhat, Kolkata

Venue

IIT Kharagpur – Kolkata Extension Centre
IIT Kharagpur Research Park, Rajarhat, Kolkata

Dates

December 18-20, 2026

A Strong Multi-Institutional Consortium

IndoML 2026 brings together India's premier institutions and global industry research laboratories in a unified platform for AI advancement.

BITS Pilani Goa
IIT Bombay
IIT Gandhinagar
IIT Hyderabad
IIT Kharagpur
IIT Madras
IIIT Hyderabad
MBZUAI
BITS Pilani Hyderabad
Microsoft Research

Key Research Themes

The three-day programme features 20+ invited talks by leading AI researchers from premier international universities and industry labs.

Large Language Models & Reasoning
Trustworthy, Robust & Responsible ML
Multimodal & Audio-Language AI
AI Agents & Embodied Intelligence
Legal, Healthcare & Geospatial AI
Theory of Machine Learning

Beyond Talks: Building the Research Ecosystem

Early-Career Researcher Forums
Graduate Student Mentoring
Datathon Competition
Interdisciplinary Tracks
Follow IndoML 2026