K K Thyagharajan
Also known as: KKT
RMD Engineering College, R.M.D. ENGINEERING COLLEGE, College of Engineering Guindy , Anna Univercity Chennai
About
K.K. Thyagharajan received his B.Eng. degree in Electrical and Electronics Engineering from PSG College of Technology, Madras University, India and received his M.Eng. degree in Applied Electronics from Coimbatore Institute of Technology, India in 1988. He also possesses a Post Graduate Diploma in Computer Applications from Bharathiar University, India. He obtained his Ph.D. degree in Information and Communication Engineering from College of Engineering Guindy, Anna University, India in 2007. He is in teaching profession for around four decades and served at various levels including Principal, Dean and Professor at various Engineering Colleges in Tamil Nadu-INDIA. During his tenure as a Principal and Dean he was a member of Governing Council of RMK Group of Institutions. He has written 5 books in Computing including “Flash MX 2004” published by McGraw Hill (India), which has served recommended as text and reference book by universities. He is a grant recipient of Tamil Nadu State Council for Science and Technology. He has been invited as chairperson and delivered special lectures in many National and International conferences and workshops. He is reviewer and editorial board member for many International Journals and Conferences. He is a recognized supervisor for Ph.D candidates and Master students at Anna University. He has published more than 200 papers in National & International Journals and Conferences. Fifteen candidates have completed PhD under his supervision. His research interests include Computer Vision, Machine Learning, Deep learning, Generative AI, Semantic Web, Image & Video Processing, Multimedia Streaming, Video Coding, Content-based Information Retrieval and e-learning. He is a Fellow of Institution of Engineers INDIA. He is a life member of ISTE, CSI INDIA and also senior member and invited member in many professional associations. He has been recognized by Marquis Who's Who in the World for his contribution to the technical society and his biography has been published in its 25th Anniversary Edition (2008). He has been recognized as a Teacher Par Excellence twice by the management of SSN institutions. He received Distinguished Faculty (Multimedia and Image Processing) Award in the Contemporary Academic Meet VICAM 2016 organized by Venus International Foundation.
E-mail: [email protected] , [email protected] , [email protected]
Employment
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RMD Engineering College Professor and Dean (Research)2021 - Present
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R.M.D. ENGINEERING COLLEGE Professor and Dean Academic2012 - Present
Education
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College of Engineering Guindy , Anna Univercity Chennai Ph.D.? - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (142)
- An Effective Method for Predicting Cervical Cancer Risk Using Semantic-Preserved Generative Adversarial Networks to Enhance Prediction Accuracy and Model Efficiency Save
- Leveraging Transfer Learning with MobileNetV2 for Robust Animal Detection in Challenging Environments Save
- SIFMAF-NET: satellite image fusion and land use and land cover classification via deep learning-based multi-attention fusion network Save
- Enhancing COVID-19 detection through multimodal CT and X-ray image fusion with anisotropic diffusion and loss-attentional physics-informed neural networks Save
- INTELLIGENT VERSATILE VIDEO CODING VIDEO DELIVERY OVER 5G: MASSIVE MULTIPLE-INPUT, MULTIPLE-OUTPUT BEAMFORMING MEETS AI-DRIVEN RESOURCE ALLOCATION FOR OPTIMAL SPECTRAL EFFICIENCY Save
- Implementing a Robust Method for Detecting Human Actions in Health Monitoring by Employing Sensors on Mobile Internet of Things Devices and Utilizing a One-Dimensional Convolutional Neural Network Save
- A Comparative Analysis of GOA (Grasshopper Optimization Algorithm) Adversarial Deep Belief Neural Network for Renal Cell Carcinoma: Kidney Cancer Detection & Classification Save
- AN OPTIMIZATION ALGORITHM FOR SPARSE CODE MULTIPLE ACCESS CODEBOOK TO MAXIMIZE MUTUAL INFORMATION IN 5G Save
- Efficient segmentation and 1D-CNN model optimization for recognizing human actions with mobile sensors Save
- LOW COMPLEXITY HEVC SCALABLE ENCODER BASED ON FSS ALGORITHM Save