Hosted by Prof. Iryna Gurevych & Prof. Tanmoy Chakraborty
Fully funded by the Indo-German Science & Technology Centre (IGSTC)
📍 IIT Delhi, India 🗓️ September 3-4, 2026
Organized by the Indo-German Science and Technology Centre (IGSTC)
This Indo-German bilateral workshop will focus on Green AI for Healthcare, addressing the environmental and societal impacts of Generative AI with particular emphasis on sustainable, efficient models for real-world healthcare deployment. Highlighting mental health as a critical yet under-resourced domain, the workshop brings together experts and early-career researchers through keynotes, technical sessions, panels, and posters. By linking environmental sustainability with healthcare equity, it aims to foster cross-border collaboration and lay the groundwork for future joint initiatives in human-centred, sustainable AI.
The workshop will further promote interdisciplinary collaboration among researchers, clinicians, and industry experts to explore trustworthy, resource-efficient AI solutions for healthcare. By encouraging knowledge exchange, networking, and future joint research initiatives, it seeks to strengthen long-term Indo-German partnerships and accelerate the development of sustainable AI technologies with meaningful societal impact.
Promoting Indo-German R&D networking and fostering collaborative research for industrial application and sustainable development
Meet the organizing coordinators from India and Germany driving this bilateral research initiative.
Indian Coordinator
Electrical Engineering
Indian Institute of Technology Delhi (IITD)
✉️ chak.tanmoy.iit@gmail.com
📞 +91 90642 47025
German Coordinator
UKP Lab, Department of Computer Science
TU Darmstadt, Germany
✉️ iryna.gurevych@tu-darmstadt.de
📞 +49 6151 16-25290
Two days dedicated to sustainable, efficient, and human-centred AI solutions for healthcare and mental wellness.
Focusing on the environmental impact of Generative AI, developing energy-efficient algorithms, optimizing computational resources, and building sustainable ML models that minimize environmental impact while maintaining high performance.
Deploying sustainable AI models for real-world healthcare, addressing mental health as a critical domain. Fostering technologies that improve patient outcomes while prioritizing environmental sustainability and healthcare equity.
Distinguished experts and researchers from Germany and India presenting their insights.
Group Leader, Ernst Strüngmann Institute Frankfurt
Professor for AI at Goethe University Frankfurt
Professor and head of the outpatient clinic at University Hospital Frankfurt
Senior lecturer, Center for Information and Language Processing at LMU, Germany
Professor, TU Dresden / ScaDS.AI
Professor at University of Applied Sciences Darmstadt, Germany
Humboldt Professor at the University of Marburg
Professor Natural Language Processing, TU Darmstadt
Professor of Medical Device Regulatory Science, TU Dresden
Research Scientist, TU Dresden
Junior Lab Leader, TU Darmstadt
Cerence GmbH
Co-Founder (Leadership, Marbles Health, New Delhi
Clinical Data & Operations Leadership, Wysa, Bangalore
Professor of Psychiatry, AIIMS Delhi
Professor of Psychiatry, AIIMS Delhi
Assistant Professor of Clinical Psychology, AIIMS Delhi
Assistant Professor, JIPMER, Puducherry
Assistant Professor, AIIMS Kalyani
Associate Professor, AIIMS Bathinda
Director, ICMR-National Institute for Research in Digital Health and Science
Professor of Psychiatry, NIMHANS, Bangalore
Additional Professor, NIMHANS, Bangalore
Principal Researcher, Microsoft Research India, Bangalore
Professor of Electrical Engineering, IIT Delhi
Professor of Computer Science, IIT Delhi
Professor of Computer Science, IIT Jodhpur
Professor, Dhirubhai Ambani Institute of ICT, Gandhinagar
Professor (and former Director), IIT Kharagpur
Professor of CS & Director of Center of Data Science and Analytics, Ashoka University
Professor, Ashoka University
Professor, Ashoka University
Hauz Khas, New Delhi, India - 110016
From Indira Gandhi International (IGI) Airport (12 km): Take a prepaid taxi or Uber/Ola (approx. 20–30 minutes). Alternatively, use the Magenta Line directly from the Terminal 1 Metro Station to reach IIT Delhi.