Dr. Sudharson K | Information and Communication | Best Academic Researcher Award
Associate Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India.
Dr. Sudharson K is an accomplished academician and researcher in the domain of secure communication systems, currently serving as Associate Professor at Vel Tech University, Tamil Nadu. With over 19 years of teaching and research experience, his academic journey has spanned several esteemed institutions where he has consistently contributed to advancements in quantum cryptography, mobile ad hoc networks (MANETs), artificial intelligence, and data science. He is recognized for his innovative integration of Quantum Elliptic Curve Cryptography (QECC) and data mining techniques for network security and is the recipient of the “Award of Excellence in Research” for 2023–2024.
Publication Profile
Education
Top Noted Publication
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Hybrid Deep Learning Neural System for Brain Tumor Detection
Authors: K. Sudharson, A.M. Sermakani, V. Parthipan, D. Dhinakaran, et al.
Conference: 2022 2nd International Conference on Intelligent Technologies (CONIT)
Pages: 1–6
Citations: 49
Year: 2022
Summary: Developed a hybrid deep learning system integrating CNN and LSTM architectures to enhance accuracy in brain tumor classification from MRI scans.
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Data Mining with Privacy Protection Using Precise Elliptical Curve Cryptography
Authors: B. Murugeshwari, D. Selvaraj, K. Sudharson, S. Radhika
Journal: Intelligent Automation & Soft Computing, Volume 35, Issue 1
Citations: 43
Year: 2023
Summary: Proposed a secure data mining model using Precise Elliptical Curve Cryptography (PECC) to maintain data confidentiality during knowledge discovery processes. -
DEFECT: Discover and Eradicate Fool Around Node in Emergency Network Using Combinatorial Techniques
Authors: S. Arun, K. Sudharson
Journal: Journal of Ambient Intelligence and Humanized Computing, Volume 14, Issue 5, Pages 5995–6006
Citations: 39
Year: 2023
Summary: Introduced a novel approach, DEFECT, that uses combinatorial methods for identifying and eliminating malicious nodes in emergency Mobile Ad Hoc Networks (eMANETs). -
Efficient Soil Condition Monitoring with IoT Enabled Intelligent Farming Solution
Authors: K. Sudharson, B. Alekhya, G. Abinaya, C. Rohini, S. Arthi, D. Dhinakaran
Conference: 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Sciences
Citations: 38
Year: 2023
Summary: Designed an IoT-based intelligent farming system for real-time soil health tracking and data-driven agricultural decision-making. -
NUITECH – Natural User Interface Technique for Emulating Computer Hardware
Authors: K. Sudharson, A.M. Ali, N. Partheeban
Journal: International Journal of Pharmacy & Technology, Volume 8, Issue 4, Pages 23598–23606
Citations: 37
Year: 2016
Summary: Developed a gesture-based natural user interface system (NUITECH) aimed at enhancing human-computer interaction by emulating hardware control through body motion.