Dr. Devi Lal Punia is an Assistant Professor in the Department of Electrical Engineering at Mody University of Science and Technology, with over 19 years of extensive academic experience. His research focuses on Renewable Energy Resources, Power Systems, Sliding Mode Control, Control Systems, and Electric Vehicles.

Dr. Punia has authored more than 18 scientific papers in reputable journals and national and international conferences, and regularly participates in webinars, short-term courses, national and international conferences, and seminars in Electrical Engineering. He has supervised more than 20 undergraduate projects and four postgraduate dissertations, and is currently co-supervising Ph.D. research in the area of Energy Management Systems for Electric Vehicles.

As a faculty member, he oversees academic programmes, promotes research initiatives, and supports value-added courses aligned with SCADA and Smart Grid, Electric Vehicle Technology, and Solar and Wind Energy System Design. His contributions shape the department’s vision and goals, driving excellence in teaching, research, and industry engagement, with implications for renewable energy, power systems, and electric vehicle technologies.

• Ph.D. Electrical Engineering - YMCA University of Science and Technology, Faridabad, Haryana
• M. Tech. Electrical Power Systems (First Division) - National Institute of Technology, Kurukshetra
• B.E. Electrical Engineering (First Division) - Guru Nanak Dev Engineering College, Ludhiana, Punjab

Dr. Punia's research focuses on the simulation of photovoltaic (PV) modules for maximum power point tracking using MATLAB SIMULINK. His work addresses the growing demand for renewable energy resources in the context of the global energy crisis and climate change. Solar energy, harnessed through PV systems, offers clean, noiseless, and eco-friendly power generation; however, its output is dependent on weather conditions. Dr. Punia investigates Maximum Power Point Tracking (MPPT) algorithms — including Perturb and Observe, Incremental Conductance, Fuzzy Logic, and Artificial Neural Networks — to enhance the reliability and efficiency of solar energy systems by identifying the optimal power point under varying irradiation conditions.

• Present Assistant Professor - Department of Electrical Engineering, Mody University of Science and Technology, Rajasthan
• Associate Professor (HOD) - Department of EEE, Adesh Group of Institutes, Chandigarh
• Assistant Professor - Department of EEE and Renewable Energy, Eternal University, Baru Sahib, Himachal Pradesh
• Assistant Professor, Co-HOD and Departmental Dean - Swami Parmanand College of Engineering and Technology, Mohali, Punjab (Affiliated to Punjab Technical University, Jalandhar)
• Lecturer - Surya-World School of Engineering and Technology, Rajpura
• Lecturer - National Institute of Technology, Kurukshetra
• Lecturer - Technical Education Department, Haryana, Chandigarh