Integrating AI & ML for Sustainable Electric Vehicle Development and DKTE Society’s Textile and Engineering Institute, Ichalkaranji (Jan 05, 2026)

Integrating AI & ML for Sustainable Electric Vehicle Development serves as the central theme for this prestigious one-week online Faculty Development Program (FDP). Specifically designed to empower educators and researchers, this program addresses the critical intersection of modern computation and green transportation. Organized by the Department of Electrical Engineering at DKTE Society’s Textile and Engineering Institute in association with the AICTE Training and Learning (ATAL) Academy, the event offers an unparalleled opportunity to dive into the future of smart mobility. Furthermore, participants will engage with industry leaders and academic experts to bridge the gap between theoretical knowledge and practical application. Consequently, this initiative ensures that the academic community stays ahead of the rapidly evolving EV sector.

Program Highlights

Feature	Details
Program Title	Integrating AI & ML for Sustainable Electric Vehicle Development and Smart Mobility
Organizing Institution	DKTE Society’s Textile and Engineering Institute, Ichalkaranji
Department	Electrical Engineering Department
Dates & Duration	05th January 2026 to 10th January 2026 (One Week)
Mode of Delivery	Online
Daily Schedule	Evening Sessions (6:00 PM onwards); Day 6 Afternoon (2:00 PM)

Program Overview

The primary objective of this AICTE ATAL Academy initiative is to foster quality teaching and learning in technical education by focusing on emerging thrust areas. Specifically, the program aims to enhance the skills of faculty members in Artificial Intelligence and Machine Learning as they apply to sustainable transportation. Moreover, the curriculum is meticulously designed to promote interdisciplinary research and innovation. As a result, academia remains effectively aligned with the latest industrial shifts. DKTE Institute, which is an empowered autonomous institute affiliated with Shivaji University, provides a robust academic environment for this exchange. Given its distinguished history of excellence since 1982, the institute serves as an ideal host for such high-level training.

Eligibility Criteria

This program is specifically tailored for a wide range of academic and professional stakeholders. Consequently, those eligible to apply include:

• Teaching Professionals from AICTE-approved institutions.
• Ph.D. Scholars and Post Graduate Students focused on engineering.
• Industrial Technocrats and working professionals in the electrical and automotive domains.
• Academic Researchers looking to pivot into sustainable mobility.

Curriculum & Topics Covered

The comprehensive 6-day schedule covers the full spectrum of EV technology and smart mobility. Specifically, the following modules will be explored:

• Foundation: Introduction to AI and ML in Electric Vehicle Technologies.
• Architecture: AI and ML Applications in EV Architecture and Regenerative Braking Systems.
• Control Systems: Intelligent Control Systems for EV Controllers and Drive Train Protection.
• Innovation: Autonomous and Connected Electric Vehicles: The Role of AI.
• Energy Management: AI & ML Integration on Battery Management Systems (BMS).
• Optimization: Battery Management Systems: AI for SoC, SoH, and Performance Optimization.
• Infrastructure: AI & ML in Charging Infrastructure and Energy Management.
• Diagnostics: Predictive Maintenance and Fault Diagnosis in EVs using ML.
• Practical Skills: Hands-on Sessions with ML Tools, Datasets, and BMS Controller design using MATLAB.
• Security: Cyber Security Protocols and Implementation for EV.

Resource Persons

The program features a lineup of eminent faculty from premier institutions and industry experts. In addition to academic rigor, these experts provide real-world insights:

• Dr. Dipankar Deb: Professor, IIT Mandi (CAIR).
• Dr. Axaykumar Mehta: Professor, IITRAM, Ahmedabad.
• Dr. Rajesh Lekkireddy: Lead Engineer, HCL Tech., Chennai.
• Mr. Shivam Chauhan: Research Engineer, Rolls-Royce @ NTU Corporate Lab, Singapore.
• Mr. Suraj SD: Founder & CEO, Decibels Lab, Bangalore.
• Dr. Abhijeet Redekar: Founder & CEO, Masai Generation, Gujarat.
• Mrs. Sweta Manjare: Founder & CEO, Smart Tech Engineers, Bhopal.
• Mr. Anup Joshi: Proprietor, Fusion Leap Services, Miraj.
• Mr. Sumant Lokhande: Cyber Security Engineer, Altisec Technologies, Pune.
• Prof. Dr. Vaibhav B. Magdum: Associate Professor, DKTE TEI, Ichalkaranji.

Learning Outcomes

Upon completion of this FDP, participants will be equipped with specialized skills. Specifically, attendees will be able to:

• Understand the fundamental integration of AI/ML algorithms in modern EV drive trains.
• Design and simulate sophisticated Battery Management Systems (BMS) using MATLAB tools.
• Analyze charging infrastructure requirements and implement energy management strategies.
• Identify cybersecurity threats and implement robust protection protocols for smart mobility.
• Apply predictive maintenance techniques to significantly improve EV reliability.

Certification & Assessment

To receive the certificate from AICTE ATAL Academy, participants must meet specific criteria. Specifically, attendees are required to maintain a minimum attendance level throughout the six days. Furthermore, an online test and feedback session will be conducted on the final day (January 10, 2026). Consequently, only successful candidates who pass the assessment will be awarded an official certificate of completion.

Registration Details

Detail	Information
Registration Portal	click here
Start Date	January 05, 2026
End Date	January 10, 2026
Registration Fee	Refer to ATAL Portal (Typically free for faculty)
Selection Criteria	First-come, first-served / Subject to eligibility
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the program, participants may reach out to the following coordinators. Specifically:

• Coordinator: Prof. Dr. Vaibhav B. Magdum
  • Mobile: 98902 74630
  • Email: vbmagdumsir@gmail.com
• Co-Coordinator: Prof. Pravin S. Magdum
  • Mobile: 97662 87695
  • Email: psmagdumsir@gmail.com
• Institution Address: DKTE Society’s Textile and Engineering Institute, Rajwada, Ichalkaranji, Maharashtra.

Key Highlights

The Department of Electrical Engineering at DKTE is NBA-accredited and notably known for its 100% placement record. In addition, the institute features industry-sponsored laboratories from global giants such as BOSCH, NVidia, and Mitsubishi. This FDP specifically emphasizes hands-on training with modern datasets and MATLAB simulations. Therefore, theoretical concepts are effectively grounded in industry-standard tools.

Frequently Asked Questions (FAQs)

How do I register for the FDP on Integrating AI & ML for Sustainable Electric Vehicle Development?
Participants must register through the official AICTE-ATAL portal. Specifically, you should log into your account and search for the DKTE Ichalkaranji program under the Electrical Engineering thrust area.

Is this program conducted offline?
No, this is a one-week online Faculty Development Program. Consequently, participants can join remotely from across India without the need for travel.

Who should attend this FDP?
The program is ideal for faculty members, Ph.D. scholars, and PG students. Moreover, it is highly beneficial for those interested in the intersection of Artificial Intelligence and Electric Vehicle technology.

Will there be an assessment?
Yes, an online test and feedback session are scheduled for the final day. In addition, this assessment is mandatory for obtaining the certificate.

What software tools will be used in the hands-on sessions?
The sessions will primarily utilize MATLAB for BMS controller design. Furthermore, various Machine Learning tools and datasets for EV applications will be explored.