AI and ML Applications in Electric Vehicles FDP and PSNA College of Engineering and Technology, Dindigul

The AI and ML Applications in Electric Vehicles FDP at PSNA College of Engineering and Technology offers an elite training opportunity for educators and research scholars to master the convergence of sustainable transport and artificial intelligence. Currently, as the global automotive industry shifts toward electrification, the integration of intelligent algorithms has become indispensable for battery management and autonomous systems. Consequently, this AICTE Training and Learning (ATAL) Academy sponsored program provides the technical depth required to lead future-ready engineering departments. Furthermore, participants will gain exclusive insights into India’s 2030 renewable energy vision through expert-led virtual sessions. In addition to theoretical knowledge, the program emphasizes practical frameworks that are essential for modern academic research.

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 (Autonomous)
Department	Electrical and Electronics Engineering (EEE)
Dates & Duration	February 02, 2026 – February 07, 2026 (6 Days)
Mode of Delivery	Online (via ATAL Portal)
Daily Schedule	Evening: 6:00 PM – 9:30 PM (Mon-Fri); Afternoon: 2:00 PM – 8:00 PM (Sat)

Program Overview

The primary objective of this Faculty Development Programme is to bridge the gap between academic research and industrial requirements in the EV sector. Specifically, the curriculum explores predictive maintenance, smart grid integration, and AI-driven energy management. PSNA College, established in 1984, utilizes its vast technical infrastructure and recognized research centers to foster interdisciplinary collaboration. Moreover, the program focuses on uplifting technical education standards by equipping faculty with hands-on exposure to cutting-edge tools and frameworks. Therefore, participants can expect a highly interactive environment that promotes long-term academic growth.

Eligibility Criteria

This program is specifically designed for academic professionals and researchers affiliated with recognized institutions. Specifically, the following groups are eligible to apply:

• Faculty members from AICTE-approved institutions are encouraged to register.
• Research Scholars and PhD candidates pursuing work in Engineering and Technology.
• Postgraduate (PG) Students from technical colleges are also welcome to join.
• However, please note that the maximum intake is limited to 100 participants on a first-come, first-served basis.

Curriculum & Topics Covered

The FDP schedule is meticulously structured to cover the most relevant advancements in green technology. Specifically, participants will dive into:

• Battery Management Systems (BMS): Detailed optimization and SOC prediction using Machine Learning.
• EV Components: Comprehensive predictive maintenance strategies and autonomous vehicle intelligence.
• Smart Infrastructure: Advanced AI integration for smart charging and load prediction.
• Renewable Energy: Smart grid control and India’s Renewable Energy Vision 2030.
• Intellectual Property: Strategic IP management for innovative research in the AI/EV domain.

Resource Persons

The program features a distinguished panel of experts from premier Indian and international institutions. For instance:

• Dr. C. Bharatiraja: Professor, SRM IST, Chennai (20 Years Exp).
• Dr. M. Maheswari: Lecturer, UTAS, Nizwa, Oman (23 Years Exp).
• Dr. Rajesh Periyasamy: VP of Manufacturing, VAYU Motors, Hyderabad (18 Years Exp).
• Mr. V. Ramkumar: Subject Matter Expert, Schneider Electric, Bangalore.
• Dr. B. Chitti Babu: Associate Professor, IIITDM, Chennai (22 Years Exp).
• Mr. M. Sabarenath: Asst. General Manager, TIVOLT Electric Vehicles Pvt. Ltd.

Learning Outcomes

Upon successful completion of this six-day intensive program, participants will be able to:

• Implement Machine Learning models for Battery State of Charge (SOC) prediction effectively.
• Design AI-driven control strategies for renewable energy management systems.
• Evaluate the specific challenges and opportunities within the Indian EV market.
• Utilize simulation tools to build smart BMS and charging infrastructures.
• Navigate IP strategies to protect innovative research in the AI/EV domain.

Certification & Assessment

To maintain high academic standards, certificates are issued only to eligible participants based on strict ATAL norms. In particular:

• Attendance: A minimum of 80% attendance is mandatory for all online sessions.
• Final Assessment: Participants must score at least 70 marks in the online test conducted on the final day.
• Issuance: Digital certificates will be issued through the ATAL portal once the requirements are met.
• Consequently, regular attendance and engagement are vital for successful certification.

Registration Details

Detail	Information
Registration Link	click here
Last Date to Apply	January 27, 2026
Acceptance Notification	January 29, 2026
Registration Fee	Nil (Free for AICTE Approved Institutions)
Selection Criteria	First-come, first-served basis
Schedule Link	Download
Brochure Link	Download

Contact Information

For technical queries or registration assistance, please contact the organizing team:

• Convenor: Dr. N. Chandrasekaran (Professor & Head, EEE)
• Coordinator: Dr. R. Vimala (Professor, EEE)
• Co-Coordinator: Dr. S. Umamaheswari (AP, EEE)
• Address: PSNA College of Engineering and Technology, Kothandaraman Nagar, Dindigul-624622, Tamil Nadu.

Key Highlights

The Department of EEE at PSNA is home to the Industrial Automation Laboratory and Drives Laboratory, established in association with SIEMENS India. These facilities are among the first of their kind in the country, providing a robust foundation for this FDP. Furthermore, the program’s focus on “Trust in God” (the college motto) and societal service ensures a holistic learning environment. As a result, participants will not only gain technical skills but also understand the broader impact of their research.

Frequently Asked Questions (FAQs)

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

What is the mode of delivery for this program?
The entire six-day faculty development program will be conducted online through the official ATAL portal.

Can PG students apply for this FDP?
Yes, postgraduate students from AICTE-approved technical institutions are eligible to participate along with faculty and research scholars.

How many participants will be selected?
The intake is strictly limited to 100 participants. Therefore, selection is made on a first-come, first-served basis.

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