Smart Power Systems

Dr. S. Vijayalakshmi is an Associate Professor in the Department of Data Science at Christ University, India. She has more than 20 years of teaching experience. Her research areas are image processing and the Internet of Things (IoT). Dr. Vijayalakshmi received her Bachelor’s degree in Computer Science in 1995 and her Master’s in Computer Application in 1998 from Bharathidasan University, India. She was awarded a Ph.D. in 2014 by Mother Teresa Women’s University, Kodaikanal, India. She has contributed papers to many international journals and international and national conferences. She has authored and edited various books and chapters on technologies such as artificial intelligence, the Internet of Things, deep learning, big data, and blockchain. Dr. Vijayalakshmi has also contributed to many patents on smart robotics, smart assistive devices for visually impaired people, mobile applications for handling road accidents, and swift cane juicers. She is a member of many academic bodies, including ACM, IFERP, and IAENG. Dr. J. Lekha is an Associate Professor in the Department of Data Science at Christ University, with 16 years of teaching and 12 years of research experience. She received an MSc from the Government Arts College, an MPhil from the VLB Janakiammal College of Arts and Science, and her Ph.D. from the Avinashilingam Institute for Home Science and Higher Education for Women. Her research areas include data mining and network security. Dr. Lekha has published over 40 research articles in international journals and conference proceedings and has two patents. She is a member of several professional bodies, including ACM, IAENG, IRED, and ICSSR, and is a reviewer for the journal Measurement and Control. Dr. Lija Jacob is an Associate Professor and Head of the Department of Data Science at Christ University. She received her Bachelor’s degree inComputer Science, a Master’s of Computer Application (MCA), and her Doctorate in Computer Science from Bharathiar University. She also received an MPhil from Madurai Kamaraj University. Dr. Jacob has over 19 years of teaching experience and eight years of research experience. Her research interests include computer vision, machine learning, and deep learning. She has secured funding from state and national bodies for her research projects and faculty development program. She has published over 20 papers in international journals and conference proceedings and filed four patents.Dr. Savita is an Assistant Professor in School of Engineering & Technology , Maharishi University of Information Technology,  Noida. Dr. R. Gunavathi has 24 years of teaching experience, including serving as the Head of the Department for MCA at Sree Saraswathi Thyagaraja College, Pollachi. Currently, she holds the position of Associate Professor at CHRIST (Deemed to be University). Her research interests encompass Advanced Networking, AI and Data Science. Notably, she has successfully supervised 5 Ph.D. scholars and 15 MPhil scholars. Her contributions to academia are significant, with numerous articles published in esteemed International Peer-reviewed, UGC care list, Scopus Indexed, and Web of Science Journals. Her scholarly engagements extend to presenting research papers at various National and International conferences, and she has organized 7 National Level Seminars and Conferences, along with 4 Symposiums. She got funding from National Commission for Women(NCW) and organised 2 days women strategy summit. Beyond academia, she has generously shared her expertise by offering guest lectures and conducting workshops for diverse colleges, fostering knowledge dissemination and growth. Dr. R. Gunavathi's dedication to teaching, research, and guiding aspiring scholars demonstrates her profound commitment to the field of Computer Science.

• Smart Intelligence Perspective and Integrating AI With the Power System.- Smart Grids for Clean, Reliable, and Resilient Electricity Systems.- Modeling of Power Systems.- Power Forecasting With AI and IoT.- Smart Grid Deployment: Features and Benefits.- Grid Automation: Challenges and Issues.- Smart Wide Area Monitoring of System Operations.- Machine Learning Algorithms for Identification of Equipment Overloading.-Efficient Power Distribution With AI-IoT and ML-based Methodologies.- Power Quality Checking and Control Using Smart Intelligence Based Methods.- Smart Intelligence Aided Power and Energy Management.- Blockchain Technology and Smart Power System.- AI-Based Methods and Algorithms for Fault Detection in the Transmission Lines.- Effective Models for Computing Optimized Storage Systems for Energy.- Efficient Methods for Price Prediction of Energy.- Smart and Secured Ways of E-Payment: Design of New Frameworks.