Faculty Development Programmes & invited talks

Regularly invited as a resource person for AICTE and MHRD-supported Faculty Development Programmes and workshops on Artificial Intelligence, Deep Learning, Natural Language Processing and Generative AI for teaching and research. Sessions are built around hands-on work rather than slideware — participants leave having run something themselves.

Themes delivered

Any of these can be shaped into a half-day session, a full-day workshop, or a week-long programme, and pitched at beginners or at faculty already teaching the subject.

Foundations

  • Foundations of AI & Machine Learning
  • Deep Learning & Neural Networks
  • Speech & Pattern Recognition

Language & generative AI

  • Natural Language Processing & Text Mining
  • Generative AI & Prompt Engineering
  • AI in Academic Research & Publishing

Applied & institutional

  • Data Analytics for Business Decisions
  • AI in Finance & Decision Sciences
  • AI Ethics & Responsible Adoption
  • AI-Integrated Curriculum & Pedagogy

Talks, workshops and convening

  • Generative AI in Academic Research & Publishing Workshop for faculty on using generative tools responsibly in the research and publication workflow. Woxsen University, 2025
  • Deep Learning and NLP — hands-on workshops Multi-session practical workshops delivered across several institutions. Multiple institutions
  • AI in Biometrics and Pattern Recognition Invited technical sessions on applied recognition systems. Invited technical sessions
  • Faculty Development Programmes on AI and allied areas Delivered under AICTE and MHRD initiatives. AICTE / MHRD initiatives
  • Conference convening Convener and organiser of international conferences and research colloquia. CHRIST (Deemed to be University) and elsewhere

How sessions run

  • Half day — one theme, concept plus a guided exercise
  • Full day — a theme in depth, with participants building something
  • Multi-day FDP — a sequence across foundations, tooling and pedagogy
  • Research clinic — working sessions on participants' own manuscripts

Who these are for

  • Faculty new to AI who need a working foundation
  • Faculty already teaching AI who want current tooling and pedagogy
  • Research scholars preparing for indexed publication
  • Management faculty applying analytics to business decisions