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About the event
Greetings from COEP Technological University, Pune.
The Department of Applied Sciences and Humanities is organising a six-day offline Faculty Development Programme (FDP) on "Artificial Intelligence in Applied Mathematics for Engineering Education and Research" from 17 to 22 December 2026, on the occasion of National Mathematics Day.
The FDP is ISTE approved, CAS beneficial and sponsored by ANRF-PAIR.
Key details:
- Dates: 17–22 December 2026 (Offline)
- Venue: COEP Technological University, Pune
- Registration fee: ₹1,500 (including GST)
- Last date of registration: 10 December 2026
Who can join
Who can attend Faculty members, research scholars and PG PHD students of engineering, mathematics and science and Industry personnel.
Events & highlights
The programme is ISTE approved, CAS beneficial and sponsored by ANRF-PAIR.
Topics covered:
- AI foundations: AI, ML, DL and Generative AI, and the role of mathematics
- Supervised and unsupervised learning, and neural networks
- Python for ML: NumPy, Pandas and Scikit-learn
- Numerical computing and ODE/PDE solvers
- Physics-Informed Neural Networks (PINNs) with a hands-on implementation
- Generative AI tools, prompt engineering, AI-assisted coding and ethical AI
- AI in teaching, assessment, curriculum, literature review and scientific writing
- Future trends: AI agents, explainable AI and digital twins
- AI applications in agriculture and healthcare
The programme includes daily practical tasks and feedback sessions.
Event type details
FACULTY DEVELOPMENT PROGRAM
Event Theme
ARITIFICIAL INTELLIGENCE APPLIED MATHEMATICS
Guests
- Dr. Akash Mavle (Inaugural Speaker): AI foundations, AI ecosystem and the role of mathematics in AI
- Dr. Girish Kulkarni: Supervised and unsupervised learning, neural networks (concepts, architecture and learning)
- Dr. Makarand Sarnobat: Python for machine learning (NumPy, Pandas, Scikit-learn)
- Dr. Amulya Kumar Mahto (Online): Machine learning pipeline, PCA and industrial applications
- Dr. Suhas S. Mohite: Numerical computing, linear systems, differentiation and integration, ODE/PDE solvers
- Dr. Hrishikesh Khaladkar: Physics-Informed Neural Networks (PINNs), governing equations and loss functions
- Dr. Ravindra Naik: Generative AI tools, prompt engineering, AI-assisted coding and ethical AI
- Dr. Sunil B. Mane: AI in engineering education and research (assessment, curriculum, literature review, data analysis, scientific writing)
- Dr. Kandada Srinivas Madhusudan (Online): Future trends in AI (AI agents, explainable AI, digital twins)
- Dr. Varsha Gejji: Mathematics for AI and numerical methods in AI
- Dr. Vahida Attar: AI applications in agriculture and healthcare
- Dr. Yogita Mahatekar and Mrs. Rashmi Kulkarni: Numerical methods in AI, probability and statistics, regression using R/Python
Registration deadline / Important dates
Last date of registration: 10 December 2026
Registration Fees
Registration fee: ₹1,500 (including GST)
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