As the world's only nuclear engineer in healthcare AI, I offer rare interdisciplinary courses that combine reactor physics rigor with cutting-edge medical innovation.
Interdisciplinary courses that bridge nuclear engineering precision with healthcare AI innovation.
The only nuclear engineer teaching PINNs to medical/biology students. Real reactor physics applications to healthcare, hands-on computational projects, differential equations underlying AI, and safety-critical thinking for clinical systems.
Complete VaidyaAI case study: from concept to 1,100+ prescriptions. Technical architecture, clinical validation, regulatory compliance, user adoption—everything that textbooks don't teach. Students get access to live system data.
Physics-first approach for scientists. Understand the differential equations, optimization theory, and computational methods behind neural networks—not just how to use libraries. For scientists who want to innovate, not just implement.
How safety-critical thinking from nuclear reactors applies to medical AI. Reliability frameworks, risk assessment, fault tolerance, regulatory confidence—lessons from the world's most regulated industry applied to healthcare innovation.
Dr. Shankar's unique perspective bridging nuclear engineering and healthcare opened entirely new research directions for our team. The physics-first approach to neural networks gave students deep understanding they couldn't get anywhere else. This is truly one-of-a-kind teaching.
Prof. Falguni Pati
IIT Hyderabad • Biomedical Engineering Department
Flexible scheduling • Conference piggyback available • Full materials provided
Can extend international trips for cost-effective collaboration