World's Only Nuclear-to-Clinical AI Expert

Guest Teaching Excellence in Physics-Informed Healthcare AI

Invite the only nuclear engineer globally teaching clinical AI. Unique courses bridging reactor physics principles with healthcare technology.

Prof. Dr. Daya Shankar Tiwari

Unprecedented Expertise

World's only educator combining nuclear reactor thermal hydraulics (PhD IIT Guwahati) with live healthcare AI deployment.

Real-World Deployment

VaidyaAI platform actively processing 1,100+ clinical prescriptions. Teach from actual production experience, not theory.

Academic Leadership

Dean of School of Sciences at Woxsen University. Proven curriculum design and institutional excellence.

Signature Course Catalog

Industry-first courses bridging nuclear engineering, AI research, and clinical deployment. Create practitioners who build—not just use—healthcare AI systems.

3-Day Intensive / 5-Week Module

Physics-Informed Neural Networks for Healthcare

Graduate (MS/PhD)
15-25 students

Groundbreaking course showing how reactor physics principles solve healthcare AI's reliability crisis. Students embed domain knowledge directly into neural architectures—the VaidyaAI methodology.

Core Topics:

  • SCWR thermal hydraulics → Medical data flow modeling
  • Stability analysis for clinical decision support
  • Safety-critical AI architecture design
  • Regulatory compliance framework (FDA, HIPAA)
Target: Engineering, Medical Informatics, Biomedical Engineering
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2-Day Workshop / Lecture Series

From Nuclear Reactors to Clinical AI: A Systems Approach

Mixed (Advanced UG/Grad)
25-40 students

Interdisciplinary exploration of safety-critical systems thinking. Direct parallels between nuclear safety protocols and clinical AI deployment requirements.

Core Topics:

  • Safety culture: Nuclear vs Healthcare paradigms
  • Thermal-hydraulics analogies in medical workflows
  • Failure modes and effects analysis for AI
  • Risk quantification methodologies
Target: Engineering, Healthcare Admin, Policy Programs
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4-Week Module

Clinical Decision Support Systems: Design & Deployment

Graduate + Professionals
12-20 students

Deep dive into VaidyaAI's architecture and deployment journey. Students work with de-identified clinical datasets, build prototypes, navigate regulatory landscapes.

Core Topics:

  • VaidyaAI case study: 1,100+ prescriptions analyzed
  • OCR + NLP pipeline engineering
  • Clinical workflow integration strategies
  • FDA 510(k) pathway for medical AI
Target: Computer Science, Health Informatics, MBAs
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6-Week Semester Course

AI for Healthcare: Engineering Perspectives

Undergraduate (Final Year)
30-50 students

Comprehensive introduction to healthcare AI landscape with engineering rigor. Technical foundations, ethical frameworks, and career pathways.

Core Topics:

  • Medical imaging AI (CNNs, transformers)
  • Electronic health records analysis
  • Bias, fairness, and explainability in clinical AI
  • Industry trends & startup ecosystem
Target: Computer Science, Engineering electives
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5-Day Professional Intensive

Deep Learning Workshop with Clinical Applications

Professional Development
15-25 participants
80% Hands-On Coding

Intensive bootcamp for practicing engineers and healthcare IT professionals. Build production-grade neural networks using TensorFlow/PyTorch. Every concept tied to real clinical use cases.

Core Topics:

  • Neural network fundamentals (MLPs, CNNs, RNNs, LSTMs)
  • Transfer learning for medical imaging
  • Clinical NLP with transformers (BERT, GPT variants)
  • Model deployment (Docker, cloud platforms, APIs)
  • Capstone project: Mini-VaidyaAI system
Target: Software Engineers, Healthcare IT, Researchers
Prerequisites: Python programming, basic ML knowledge
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Why Invite Me?

Beyond unique expertise, here's what your institution gains

What You Get

  • Courses no other faculty can teach — Nuclear engineering + healthcare AI is a one-person global intersection
  • Real-world AI deployment experience — VaidyaAI is live in clinical settings, not lab experiments
  • Dean-level curriculum design expertise — I build academic programs, not just teach courses
  • Industry connections — Healthcare startups, hospital CIOs, AI vendors in my network
  • Publication-ready student projects — My mentorship produces conference papers and patents
  • Flexible engagement models — Guest lectures to full semester courses, all customizable

Ideal For

  • Computer Science Departments — Add healthcare AI specialization track
  • Biomedical Engineering Programs — Bridge engineering rigor with clinical needs
  • Medical Informatics Schools — Deepen technical AI capabilities
  • Healthcare Management Institutions — Prepare leaders for AI transformation
  • Continuing Education Programs — Professional upskilling in healthcare AI
  • Executive MBA Programs — Strategic AI leadership for healthcare executives

What Students & Colleagues Say

Impact in their own words

"Dr. Tiwari's course was unlike any AI class I've taken. Understanding neural networks through reactor physics principles gave me such deeper intuition. I can now design AI systems, not just copy-paste TensorFlow code. This landed me a research position at Mayo Clinic."

Priya Sharma

MS Computer Science Student
Now: AI Engineer, Mayo Clinic

"Having Dr. Tiwari as guest faculty elevated our entire biomedical engineering program. Students who took his course showed 40% higher competency in AI projects. His unique perspective filled a massive gap in our curriculum. We're now exploring a permanent collaboration."

Prof. Rajesh Kumar

Chair, Biomedical Engineering
NIT Warangal

"We hired three graduates from Dr. Tiwari's healthcare AI course. They understand AI systems at a level most candidates don't reach until 2-3 years on the job. His physics-first approach creates engineers who actually understand what they're building."

Dr. Anita Desai

CTO, HealthTech Innovations
Bangalore

Logistics & Investment

Transparent pricing for transformative education

Engagement Type Duration Professional Fee Inclusions
Guest Lecture Series 1-2 days
(2-4 sessions)
₹50,000 - ₹75,000 Travel, local transport
Intensive Workshop 3-5 days
(Full immersion)
₹1,00,000 - ₹1,50,000 Travel, accommodation, course materials
Module Teaching 2-6 weeks
(Part-time delivery)
₹2,00,000 - ₹5,00,000 Travel (weekly if in-person), digital resources, project mentorship
Full Semester Course 12-16 weeks
(Complete course)
Negotiable Curriculum design, assessments, guest speakers, capstone supervision
Virtual Delivery Any format above 70% of in-person fee Pre-recorded content, live Q&A, digital assessments

Note: All fees include preparation time, custom content development, and post-teaching support. Institutional discounts available for multi-course engagements. Travel from Hyderabad, India. International engagements welcome. Pricing in INR; USD/EUR conversions provided on request.

Simple Booking Process

From inquiry to classroom in 4 easy steps

1

Submit Interest

Fill the contact form below with your requirements

2

Course Selection

Receive response within 24 hours with syllabus options

3

Customize Curriculum

1-week consultation to tailor content to your students

4

Confirm Dates

Finalize contract, logistics, and teaching schedule

Request Guest Teaching Engagement

Let's discuss how I can contribute to your institution's excellence

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