COEP Technological University (COEP TECH) is proud to announce an ISTE Approved and ANRF-PAIR Sponsored Faculty Development Program (FDP) on “Artificial Intelligence in Applied Mathematics for Engineering Education and Research,” scheduled to take place from December 17-22, 2026. This offline event aims to enhance the knowledge and skills of educators and researchers in the integration of artificial intelligence with applied mathematics, specifically tailored for engineering education and research.

About the Faculty Development Program

The FDP is designed to provide participants with a comprehensive understanding of how artificial intelligence can be applied to solve complex mathematical problems in engineering. The program will cover a range of topics, including machine learning algorithms, data analysis, and the application of AI in various engineering disciplines. Participants will gain hands-on experience through workshops and interactive sessions led by experts in the field.

Objectives of the Program

• To introduce participants to the fundamentals of artificial intelligence and its applications in engineering mathematics.
• To provide hands-on training on AI tools and techniques for solving mathematical problems.
• To enhance the research capabilities of participants in the field of AI and applied mathematics.
• To foster collaboration and knowledge sharing among educators and researchers.

Who Should Attend?

This FDP equips faculty members, researchers, and postgraduate students with the skills to enhance Artificial Intelligence in engineering education and mathematical research. Covering Machine Learning, Scientific Computing, Physics-Informed Neural Networks (PINNs), and Generative AI, the programme combines expert lectures, hands on laboratory sessions, and case studies led by eminent academicians and researchers from prestigious institutions.

Program Details

This five-day course offers a structured exploration of artificial intelligence and its applications in applied mathematics, engineering education, and research. The course covers AI and machine learning fundamentals, Python based computing, numerical methods, neural networks, and Physics-Informed Neural Networks (PINNs). It further introduces generative AI tools, prompt engineering, AI-assisted research, probability and statistics, regression, and emerging AI technologies. Through hands-on activities, assessments, and practical tasks, participants will develop the skills required to integrate AI effectively into engineering teaching, learning, and research.

Key Topics Covered

• Introduction to Artificial Intelligence and Machine Learning
• AI Algorithms and Their Applications in Engineering
• Data Analysis and Visualization Techniques
• Case Studies on AI in Applied Mathematics
• Hands-on Workshops and Interactive Sessions

Resource Persons

Inaugural Speaker: Co-Founder, Ex- leerlis. CEO PANINI Group. Principal Data Scientist. AI Researcher

Dr. Girish Kulkarni: Co-founder & CEO, Vidhan AI; The Green Concept

Mr. Brishlkesh Khaladkar IMDR. Pune

Dr. Makarand Sarnobal Analytics   Consultant.   The   Parker Avery Group. Pune

Dr. Suhas S. Mohite: Professor. Dept. of Mechanical Engineering. Planers-PAIR Project, COEP Technological University, Pune

Dr. Vahida Z. Altar: Associate   Professor, Dept.   of Computer Science and Engineering. COEP Technological University, Pune

Dr. Yogita M. Mahatekar: Assistant Professor. Dept. of Applied Sciences and Humanities. COEP Technological University. Pune.

Mrs. Rashmi Kulkarni: Assistant Professor. Dept. of Applied Sciences and Humanities. COEP Technological University. Pune.

Dr. Amulya Kumar Mahto: Assistant Professor, Mehta Family School of Data Science and Artificial Intelligence, IITGuwahati

Mr. Ravindra Naik: Professor of Practice at COEP Tech, Former Chief Scientist at TCS Research

Dr. Kandada Srinivas Madhusudhan: I lead, CPDMED TBI. HSc, Bengaluru

Dr. Varsha Gejji: Senior Professor (Retd.), Former Head, Mathematics Department, SPPU, Pune

Dr. Sunil B. Mane: Associate Professor, Dept. of Computer Science and Engineering, CO-PI. ANRF-PAIR Project. Training and Placement Officer, COEP Technological University, Pune

Registration and Application Process

₹ 1500/- (Including GST). 

Account No.: 11099464977

Institution Account Name: COEP Technological University

Bank Name: Stale Bank oflndia

Branch Name: College of Engineering Branch

IFSC Code: SBIN001043I

Note: Applicants must upload the proof of fee payment via

google form. Please note that the registration fee is Nonrefundable.

KEY IMPORTANT DATES

Start Date of Registration: October 22, 2026

Last Date of Registration: December 10, 2026

FDP Start Date: December 17, 2026

FDP End Date: December 22, 2026

Job Location

COEP Technological University, Pune – 411 005 Maharashtra, India

how to Apply

Applications can be submitted via email to the designated address provided on the COEP Technological University website. Ensure that all required documents are attached, and the application is submitted before the deadline. https://forms.gle/wijLvry31dzWTrEr7

Contact Information

Conclusion

The ISTE Approved and ANRF-PAIR Sponsored FDP on Artificial Intelligence in Applied Mathematics for Engineering Education and Research is a unique opportunity for educators and researchers to enhance their skills and knowledge in this rapidly evolving field. By participating in this program, attendees will be better equipped to integrate AI into their teaching and research, ultimately contributing to the advancement of engineering education.

ISTE Approved & ANRF-PAIR Sponsored FDP on Artificial Intelligence in Applied Mathematics for Engineering Education and Research December 17-22, 2026 (Offline Mode) organized by COEP