EEE Dept conducts six-Day FDP on “AI and ML Revolutions for Next Generation Engineers”

The Dept of EEE takes every step to equip faculty members with a comprehensive understanding of Artificial Intelligence (AI) and Machine Learning (ML) technologies and their applications in modern engineering

In association with IQAC, VAST, the Department of EEE,  conducted a successful six-day ISTE and IE sponsored Faculty Development Programme (FDP) titled “AI and ML Revolutions for Next Generation Engineers” from 8–16 December 2025.

The FDP was designed to equip faculty members, postgraduate students, research scholars, and industry professionals with cutting-edge knowledge and skills in Artificial Intelligence (AI) and Machine Learning (ML), with a special focus on applications in power systems, electric vehicles (EVs), renewable energy, control systems, avionics, and electromagnetics. The programme aimed to expose participants to state-of-the-art research, facilitate the integration of AI/ML into teaching and learning, and identify future interdisciplinary research opportunities.

Inauguration

The FDP was inaugurated on 08 December 2025 at 10.00 am with a prayer. Dr. Mary P. Varghese (HoD, EEE Dept) welcomed the gathering. The function was presided over by Dr. Sunitha C (Principal). Ms. Akhila R (Asst. Prof – Sr. Grade,EEE Dept) introduced the chief guest, Dr. Anish Gopinath (Scientist/Engineer, VSSC, Thiruvananthapuram)  who formally inaugurated the FDP. In his address, Dr. Anish Gopinath emphasized the need to shape the next generation of engineers using AI and ML techniques. The inaugural session concluded with a vote of thanks by Ms. Neenu Thomas (FDP Co-ordinator, Asst. Prof – Seln. Grade,EEE Dept) .

Technical Sessions

• Day 1 (08/12/2025):
  Forenoon: Dr. R. Remaprabha (Professor, SSN Engineering College, Chennai) delivered a session on Smart Hybrid DC Charging Systems for Electric Vehicles with Microgrid Compatibility, highlighting control challenges in DC charging systems.
  Afternoon: Ms. Priyanka C. P. (Senior Engineer – Motor Design and Testing, IPEC, Bengaluru) spoke on AI-Powered E-Motor Design for the Automotive Industry, focusing on EV design strategies using AI.
• Day 2 (09/12/2025):
  Forenoon: Dr. Shihabudheen K. V. (Assistant Professor, NIT Calicut) discussed Intelligent Control for EV Applications and future research directions.
  Afternoon: Dr. R. Chudamani (Professor, EEE Department, NIT Surat) handled a session on Five-Phase Induction Motor Drives for EV Applications and the impact of AI on the electrical sector.
• Day 3 (10/12/2025):
  Forenoon: Er. Cini John (Executive Engineer (NC), Office of the Chief Engineer (REES)) addressed AI Integration for Promoting E-Mobility in Kerala.
  Afternoon: Dr. Ani Harish (Assistant Professor, Albertian Institute of Science and Technology, Kochi) delivered a session on Machine Learning for Mining PMU Data for Transmission Line Fault Classification.
• Day 4 (12/12/2025):
  Forenoon: Dr. Anish Gopinath (Scientist/Engineer, VSSC) explained the role of AI and ML in Next-Generation Avionics Systems.
  Afternoon: Dr. P. Somasundaram (Professor, EEE Department, Anna University, Chennai) spoke on Influence of AI in Power Systems, discussing challenges and future prospects.
• Day 5 (15/12/2025):
  Forenoon: Dr. Baburaj P. (HoD, EEE Department, Government Engineering College, Kannur) delivered a session on Automatic Control in the Era of Artificial Intelligence.
  Afternoon: Dr. Rahul Satheesh (Assistant Professor, Amrita, Ettimadai) discussed Forecasting Techniques for Renewable Energy Generation and Demand using AI and ML.
• Day 6 (16/12/2025):
  Forenoon: Dr. Sudha Balagopalan (Director (Outreach and Professional Development), Christ College of Engineering, Thrissur) spoke on Optimisation Techniques in Machine Learning for the Energy Sector.
  Afternoon: Dr. Sukesh A. (Associate Professor, Government Engineering College,Kannur) presented An Overview of AI in Electromagnetics. The session concluded with an interactive discussion followed by the official vote of thanks by the FDP organizers.

Participation and Outcome

The FDP witnessed enthusiastic participation from 25 external participants from across India and 22 internal participants from VAST, making the programme a grand success. The event significantly enhanced participants’ understanding of AI and ML applications in electrical engineering, strengthened research perspectives, and reinforced VAST’s commitment to faculty development, innovation, and emerging technology education.

The successful conduct of this FDP stands as a testament to the EEE Department’s continuous efforts to prepare next-generation engineers for the rapidly evolving technological landscape.