Resource person
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.
Curriculum
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
Selected engagements
Talks, workshops and convening
- Generative AI in Academic Research & Publishing Workshop for faculty on using generative tools responsibly in the research and publication workflow.
- Deep Learning and NLP — hands-on workshops Multi-session practical workshops delivered across several institutions.
- AI in Biometrics and Pattern Recognition Invited technical sessions on applied recognition systems.
- Faculty Development Programmes on AI and allied areas Delivered under AICTE and MHRD initiatives.
- Conference convening Convener and organiser of international conferences and research colloquia.
Format
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
Audiences
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