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About Us

S. Karthigai Selvi

Karthigai Selvi S. is serving as an Assistant Professor in the School of Computer Science and Engineering at Galgotias University, Uttar Pradesh. She had been serving as a Guest Teacher in the Department of Computer Science and Applications, The Gandhigram Rural Institute – Deemed to be University, India for last five years. She did her UG (B.Sc. Mathematics) and Ph.D (Fulltime) in The Gandhigram Rural Institute – Deemed to be University. She has more than Ten years Teaching experiences, One year corporate experience like Programmer and served as Project Consultant in Mother Teresa Women’s University, India. Her research work focuses on Human Brain Image Processing and Sustainable Development. She bagged a best presenter award in 4th World Environment Summit on 2023 and a National Award in Student Research Convention held on 2013. She has published more than thirty papers in reputed journals (SCI, Scopus and Web of Science), International and National Conferences. She has served as a Resource Person in Universities and Colleges.

Publications

Bio-Inspired Algorithms Used in Medical Image Processing

Medical image processing plays a crucial role in diagnosing diseases, guiding treatment plans, and monitoring patient progress. With the increasing complexity and volume of...

Blockchain Technology in Healthcare Analytics

Blockchain is an exciting new technology that is being used to provide creative solutions in a number of industries, including the medical field. In the healthcare system...

Aerospace Image Processing Using Bio-Inspired Algorithms

The chapter on aerospace image processing with bio-inspired algorithms explores their application to overcome challenges in aerospace image processing. Aerospace and satellite...

Structural and Functional Data Processing in Bio-Computing and Deep Learning

The goal of new biocomputing research is to comprehend bio molecules' structures and functions via the lens of biofuturistic technologies. The amount of data generated every...

Structural and Functional Data Processing in Bio-Computing and Deep Learning

The goal of new biocomputing research is to comprehend bio molecules' structures and functions via the lens of biofuturistic technologies. The amount of data generated every...