AI and ML Applications in Electric Vehicles FDP and PSNA College of Engineering and Technology, Dindigul (February 02, 2026)

The AI and ML Applications in Electric Vehicles FDP at PSNA College of Engineering and Technology offers a specialized platform for educators and researchers to master the intersection of artificial intelligence and sustainable energy. This AICTE Training and Learning (ATAL) Academy sponsored program addresses the critical need for advanced technical expertise in the rapidly evolving EV and renewable energy sectors. Consequently, participants will engage with high-level curriculum designed to bridge the gap between academic theory and industrial application.

Program Highlights

Feature	Details
Program Title	AI and ML Applications in Electric Vehicles and Renewable Energy Systems
Organizing Institution	PSNA College of Engineering and Technology (Department of EEE)
Dates & Duration	February 02, 2026, to February 07, 2026 (6 Days)
Mode of Delivery	Online (via ATAL Portal)
Daily Schedule	Evening Sessions (typically 6:00 PM – 9:30 PM); Day 6: Afternoon

Export to Sheets

Program Overview

This Faculty Development Programme (FDP) aims to provide an in-depth understanding of how artificial intelligence and machine learning integrate into electric vehicles and renewable energy systems. Specifically, the department of Electrical and Electronics Engineering, established in 1995, organizes this event to promote technical excellence in power, energy, and control. The curriculum is meticulously designed to equip professionals with the skills required to train the next generation of engineers. Furthermore, the program fosters interdisciplinary collaboration and innovation in teaching. The organizers have limited the participation to 100 individuals to ensure an impactful learning environment.

Eligibility Criteria

The program is open to a specific group of academic and research professionals. Eligible participants include:

• Faculty members from AICTE-approved institutions.
• Research Scholars pursuing advanced studies in relevant engineering fields.
• Postgraduate (PG) students from AICTE-approved technical colleges.

Curriculum & Topics Covered

The FDP covers a comprehensive range of cutting-edge modules. Specifically, the sessions include:

• Battery Management System (BMS) optimization using AI.
• Predictive maintenance strategies for EV components.
• Smart charging infrastructure and load prediction techniques.
• AI integration for Smart Grid and Renewable Energy management.
• Machine Learning models for Battery State of Charge (SOC) prediction.
• Building smart BMS simulations using AI tools.
• Intellectual Property (IP) strategies for innovative research in EV and AI.
• Intelligent energy management in Fuel Cell EVs.

Resource Persons

The program features a prestigious lineup of experts from top-tier institutions and industry leaders:

• Dr. C. Bharatiraja: Professor, SRM IST, Chennai (20 years experience).
• Dr. M. Maheswari: Lecturer, UTAS, Nizwa, Oman (23 years experience).
• Dr. M. Muruganandam: Lecturer, UTAS, Ibri, Oman (23 years experience).
• Mr. V. Ramkumar: Subject Matter Expert, Schneider Electric, Bangalore.
• Dr. R. Senthil Kumar: Assistant Professor, VIT Chennai.
• Mr. M. Sabarenath: Asst. General Manager, TIVOLT Electric Vehicles Pvt. Ltd.
• Dr. B. Chitti Babu: Associate Professor, IIITDM, Chennai.
• Dr. Rajesh Periyasamy: VP of Manufacturing, VAYU Motors, Hyderabad.

Learning Outcomes

Upon successful completion of this FDP, participants will be able to:

• Implement ML models for real-time battery health monitoring.
• Design AI-driven control strategies for renewable energy systems.
• Understand the challenges and opportunities in the Indian EV market.
• Utilize advanced simulation tools for building smart energy frameworks.
• Integrate emerging technologies into their existing academic curriculum.

Certification & Assessment

To receive the official participation certificate, candidates must adhere to strict evaluation criteria. First, a minimum of 80% attendance is mandatory throughout the six-day duration. Second, participants must score at least 70 marks in the final online test conducted on the last day. The AICTE Training and Learning (ATAL) Academy issues the certificates digitally through the ATAL portal to all eligible attendees.

Registration Details

Detail	Information
Registration Link	Click Here
Application Deadline	January 27, 2026
Acceptance Notification	January 29, 2026
Registration Fee	Nil (Free of cost)
Selection Basis	First-come, first-served
Brochure Link	Download
Schedule Link	Download

Contact Information

For any queries regarding the application process or technical schedule, please contact the organizing team:

• Coordinator: Dr. R. Vimala, Professor/EEE
• Co-Coordinator: Dr. S. Umamaheswari, AP/EEE
• Convenor: Dr. N. Chandrasekaran, Professor & Head/EEE
• Institution: PSNA College of Engineering and Technology, Kothandaraman Nagar, Dindigul.

Key Highlights

The program distinguishes itself through its association with the ATAL Academy and its focus on industry-academic collaboration. Notably, the EEE department at PSNACET houses specialized Industrial Automation and Drives laboratories established in association with SIEMENS India. Additionally, the FDP provides insights into the “India’s Renewable Energy Vision 2030,” ensuring that the content is relevant to national strategic goals.

Frequently Asked Questions (FAQs)

Is there any fee to attend the AI and ML Applications in Electric Vehicles FDP? 
No, there is no registration fee for participants from AICTE-approved institutions for this online program.

Who is eligible to apply for this faculty development program? 
Faculty members, research scholars, and PG students from any AICTE-approved institution are eligible to apply.

How will the participants be selected? 
Selection is strictly on a first-come, first-served basis, limited to the first 100 eligible applicants.

What are the requirements for receiving a certificate? 
Participants must maintain 80% attendance and achieve a minimum score of 70% in the final online assessment.

What is the mode of the FDP? 
The entire six-day program is conducted online, allowing for flexible participation from across the country.