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 Technological University (COEP TECH) Job opportunity 2026

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

Program Overview

The FDP aims to equip participants with the knowledge and skills necessary to apply artificial intelligence techniques in the realm of applied mathematics. This program is designed to enhance the teaching and research capabilities of faculty members, enabling them to incorporate cutting-edge AI methodologies into their curriculum and research projects.

Key Objectives

  • To provide a deep understanding of AI applications in applied mathematics.
  • To enhance the research capabilities of participants in engineering education.
  • To foster collaboration and knowledge sharing among educators and researchers.
  • To integrate AI tools and techniques into engineering curricula effectively.

Program Details

Eligibility Criteria

The program is open to faculty members, researchers, and professionals involved in engineering education and research. Participants are expected to have a basic understanding of mathematics and computer science principles. Detailed eligibility criteria and application procedures are available on the COEP TECH website.

Program Schedule

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

Venue

COEP Technological University, Pune – 411005 Maharashtra, India

How to Apply

Interested candidates can apply for the FDP by visiting the official COEP TECH website. The application process involves filling out an online form and submitting the necessary documents as specified on the website. Early registration is encouraged due to limited seats.

₹ 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: SBIN0O1O43I

Note: Applicants must upload the proof of fee payment via

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

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

RESOURCE PERSONS

Dr. Akash Mavle: 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. Brisblkesh Khaladkar: IMDR. Pune

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

Dr. Suhas S. Mobile: Professor. Dept. of Mechanical Engineering. PI. ANRF-PAIR Project, COEP Technological University, Pune

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

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

Mrs. Rash mi Kulkarni: Assistant Professor. Dept. of Applied Sciences and Humanities. COEP Technological University. Punc

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

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 Mead, 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.

Conclusion

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

“This FDP is a stepping stone for educators to revolutionize engineering education through the integration of artificial intelligence in applied mathematics.” – COEP TECH

For more information and to apply, please visit the COEP Technological University website.  https://forms.gle/wijLvry31dzWTrEr7

Email: aiamfdp26dec@gmail.com

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 Technological University (COEP TECH)

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