Multidisciplinary project mentoring
Supervising projects from concept to implementation, emphasizing experimental validation and publishable outcomes.
Students & Collaborations
Research is built through people and partnerships. This page summarizes my research leadership and collaborations across multidisciplinary projects. For detailed lists and historical records, see the Archive.
Research leadership
I have led and supported multidisciplinary R&D projects spanning AI, scientific instrumentation, embedded systems, bioinformatics, and planetary exploration tooling.
Tool-building and reproducibility
A strong focus on building software systems and toolchains that enable students and collaborators to replicate results and extend systems reliably.
Hardware + AI integration
Translating algorithms into practical systems—sensors, firmware, measurement pipelines, and real-world deployments.
Industry-facing research
Designing solutions that connect academic novelty with realistic constraints and adoption paths.
Students
Add student names and project titles here over time. Start with 8–12 key entries, then expand.
PhD / Research Scholar
Name: (add)
Topic: (add)
Outcome: publication / prototype / dataset (add)
PhD / Research Scholar
Name: (add)
Topic: (add)
Outcome: (add)
MTech / MSc / BE Project
Name: (add)
Topic: (add)
Outcome: (add)
Tip (quick update method)
If you send me a list like:
Name – Degree – Year – Title – Link
I can convert it into a clean, consistent layout and keep the formatting uniform.
Collaborations & partners
Add or refine these over time. Keep it factual and polite—focus on collaboration and outcomes.
Academic & national research institutions
- PRL (Physical Research Laboratory)
- Plasma Research Institute
- ISRO-linked activities / workshops (add details)
- Other university collaborations (add)
Industry / applied partners
- ONGC (applications / collaboration details)
- NCRB / Forensics (applications / collaboration details)
- Other applied projects (add)
Interdisciplinary domains
- AI + biology (bioinformatics)
- AI + instrumentation (microscopy, radiation signals)
- AI + space / planetary data tools
How I collaborate
I enjoy collaborations where there is a clear problem definition, measurable validation, and a pathway to a prototype or publication.
If you are exploring a collaboration, please use the Contact page with a short abstract and expected outcomes.
Workshops, talks & outreach
Use this section to highlight flagship events and outreach activities.
Workshop / Event
Title: (add)
Year: (add)
Theme: planetary tools / AI / instrumentation (add)
Invited Talk
Title: (add)
Venue: (add)
Link: (add)
Outreach / Training
Topic: (add)
Audience: students / industry / public (add)
Notes: (add)