M. P. Karthikeyan

M. P. KarthikeyanKarthikeyan M. P. is an Assistant Professor, School of Computer Science & Information Technology, JAIN (Deemed-to-be University), Bengaluru, India. He is presently working as Assistant Professor, School of Computer Science and Information Technology, Jain (Deemed to be University), Bangalore, India. His area of Specialization Machine Learning and Deep Learning. He obtained his Bachelors in Computer Science, from Sree Saraswathi Thyayagaraja College, Pollachi. He obtained his MCA, from Sree Saraswathi Thyayagaraja College, Pollachi. He is pursuing his PhD in Computer Science from Sri SRNM College, Sattur in the area of Query Optimization in Deep Reinforcement Learning. He Completed Industry Integrated Course Machine Learning and Deep Learning from Nunnari Labs, Coimbatore. He has acted as resource person for DBT Sponsored workshop on “Big data Analytics using Machine Learning Techniques”. He has authored and coauthored over 20 research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE, Springer and Elsevier Conference proceeding. He is a co-author of 4 books and 10 books Chapters. He has presented various papers at international conferences. He has Completed more than 50 Online Course in Coursera, LinkedIn, etc. He is an IEEE Member and Member of Computer Society of India (CSI). He is a Board Studies Member for Various Autonomous Institutions and Question Paper Setter for Various Colleges. He acted as a Resource Person for Several Institutions. I am also Volunteer of Bangladesh Robotics Foundation.

Publications

Android Applications for Lung Nodules Classification Using Convolutional Neural Network
Android Applications for Lung Nodules Classification Using Convolutional Neural Network
Karthikeyan M. P., Banupriya C. V., Kowsalya R., Jayalakshmi A.. © 2023. 18 pages.
Digital image processing is currently used in various fields of research. One of them is in the field of medicine. In fact, experienced radiologists have difficulty...
Hybrid Optimization Techniques for Data Privacy Preserving in the Metaverse Ecosystem
Hybrid Optimization Techniques for Data Privacy Preserving in the Metaverse Ecosystem
M. P. Karthikeyan, K. Krishnaveni, T. Revathi, A. Hema Ambiha. © 2023. 14 pages.
Large-scale electronic databases are being maintained by businesses and can be accessed via the internet or intranet. Employing data mining techniques, significant information...
Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System
Big Data Opportunities: Lung Image Segmentation for a Coronary Artery Diseases Monitoring System
Karthikeyan, Alex Khang, K. Krishnaveni. © 2023. 10 pages.
The medical field is growing at a rapid pace, with new diseases cropping up daily that require invention of appropriate course of treatment. The heart is a muscular organ which...
Technological Interventions for Biological Fluid Flow Analysis
Technological Interventions for Biological Fluid Flow Analysis
Priyadharshini P., Vanitha Archana M., Karthikeyan M. P.. © 2022. 13 pages.
The thermal and mechanical effects of human tissues and physics that governs biological processes has been developed by applying fundamental engineering principles in the...