Smart Electrical and Mechanical Systems

Rakesh Sehgal is a Professor (Higher Academic Grade) at the National Institute of Technology Srinagar (J&K), India. He is an outstanding leader with sustained international acclaim for his work on synthesis and characterization (mechanical, metallurgical/metallographic, and tribological) of materials for aerospace, automobile, and bio-medical applications. Dr. Sehgal has investigated various materials such as adamite, piston alloys, stir cast aluminum-silicon alloys (hyper and hypo-eutectoid), copolymers, titanium alloys, tool & die steels, polymers, and nano-composites for machining parameters optimization and tribological behaviour. Prof. Sehgal served as Vice-President of Indian Society of Theoretical & Applied Mechanics (ISTAM) during 2001-2003, Executive member of Tribology Society of India (TSI) for 02 terms, and member of academic bodies of many other institutions. He has chaired technical sessions in many prestigious International and National Conferences. Prof. Sehgal received the Best Teacher Award for the year 2006-07. He is instrumental in introducing the concept of Project-Based Learning in NIT Hamirpur which has benefitted a large number of UG students in securing admissions in prestigious International Universities for MS/Ph.D. Prof. Sehgal has a distinguished career of 35 years in the field, teaching, research and administration. Prof. Sehgal has supervised 11 Ph.D. scholars in the area of tribo-materials for various industrial applications in automobile, aerospace, metal rolling and biomedical sectors. He is presently guiding 04 Ph.D. scholars in the area of metal composites for biomedical applications. He has also supervised 09 M.Tech. and 48 B.Tech. dissertations. Prof. Sehgal has published 168 research papers in International/National Journals and International/National conference proceedings. He has attended more than 35 International/National conferences in India and abroad. He has published one reference book on Performance Evaluation of Bearings, thirteen high-quality book chapters, and edited four books for Springer and Elsevier. Prof. Sehgal has completed many externally sponsored research projects worth in the area of Bearings Tribology and Mechatronics. He has established state-of-the-art facilities for research in the area of Bearings and Materials Tribology at NIT Hamirpur (H.P.). Prof. Sehgal has delivered 40 invited expert talks in various organizations in India and Abroad. He is currently working in the field of biomedical science and technology including the synthesis of smart materials, nanomaterials and tribological materials. Dr. Neeraj Gupta is Ph.D. in power systems from Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with the Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmedabad, India, in 2015 and NIT Hamirpur from 2015 to 2018 and presently, he has been working as an Assistant professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier etc. He is also in the scientific advisory/organizing secretary of many reputed conferences of the country. He is referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET etc. His research interests include uncertainty quantification of power system, probabilistic power system, solar, wind, and electric vehicle technologies, Artificial intelligence, Machine learning, prediction etc. Dr. Anuradha Tomar has 12 years of experience and currently is working as Postdoctoral researcher at Eindhoven University of Technology, the Netherlands. She has received her B.E Degree in Electronics Instrumentation & Control with Honours (2007) from University of Rajasthan and M.Tech Degree with Honours in Power System (2009) from National Institute of Technology Hamirpur. She has received her Ph. D in Electrical Engineering, from Indian Institute of Technology Delhi. Dr. Tomar has committed her research work for the development of sustainable, energy efficient solutions for the empowerment of society. Her research interest are Photovoltaic systems, Microgrid, Energy conservation and Automation. She has authored or co-authored 69 research/review papers in various reputed International, National Journals, and Conferences. Her research interests include photovoltaic systems, microgrids, energy conservation. She has also filled seven Indian patents on her name. Dr. Tomar is Senior member of IEEE, LM of ISTE, IETE, IEI, and IAENG. Dr. Mukund Dutt Sharma is currently working as Assistant Professor, National Institute of Technology, Srinagar. He received his B.E. Degree in Mechanical Engineering with distinction from UIET, Barkatullah University, Bhopal, M.Tech in CAD-CAM and Ph.D. in Mechanical Engineering from National Institute of Technology, Hamirpur. He has a distinguished career of 8 years in teaching, research, and administration. He is presently guiding 03 Ph.D. scholars in tribology. He has published 22 research papers in International/National Journals and International/National conference proceedings, reviewed book chapters of Manufacturing Technology (Volume 1 and 2) by P N Rao (TMH). Prof Vigna Kumaran completed his Bachelors Degree in Electrical and Electronics Engineering at the University of Manchester Institute of Science and Technology (UMIST), United Kingdom in 1998 under the Malaysian Government scholarship. He then pursued his PhD in Electrical Engineering at UMIST, UK and completed his PhD in 2001. He then joined the Malaysian electric al utility, Tenaga Nasional Berhad in 2002 as an electrical engineer. In 2005, he moved to Universiti Tenaga Nasional (UNITEN) and is presently a Professor in the Institute of Power Engineering.

• 1. Basics of Artificial intelligence and Machine learning2. Artificial Intelligence and machine learning based Robot Control3. Smart Mechanical Design4. Smart Manufacturing5. Autonomous vehicles6. Image processing for electrical and mechanical engineering 7. Machine learning in smart electric power systems 8. Renewable energy integration with ML9. Machine learning applications in optimal power flow 10. Machine learning applications in power system control11. Machine learning applications in power system forecasting