Prof. Dr. Elangovan Muniyandy
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
0000-0003-2349-3701
About
Dr. M. Elangovan has graduated as a Doctor of Engineering (Dr. Eng.) from Hiroshima University, Japan in the field of Naval Architecture and a master’s degree (M. Eng.) in Engineering Design from Government college Technology, Coimbatore, Tamilnadu, India.
He is currently working as a Professor at Vel Tech University (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology) Chennai, India. Vel Tech is the first entry for Dr. M. Elangovan to do service in the teaching industry.
He started his career as a Ship Designer at National Ship Design and Research Centre, Visakhapatnam which is a Central Government organization, and later, he worked for well-known companies like Jagson International Ltd, New Delhi, Allseas Engineering Dubai, IRS Mumbai, NAPA Finland, and GreenSHIP Bangalore. He has visited many countries like Japan, China, Korea, France, Brazil, Malaysia, Singapore for technical discussions and conferences. Altogether has got 22 years of industrial experience and the last three years been in the teaching industry.
During my service, many funded research projects and consultancy have been completed from various national and international funding agencies, worth around ₹39.9 crores. Moreover, I am an editor and reviewer for various journals. More than 100 papers have been published in journals and conferences. .
Employment
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Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Professor2018 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (94)
- Hybrid DeepXAI Fusion Network for Interpretable Big Data Analytics and Secure Cloud Decision-Making Systems Save
- Optimized Spiking Neural Network-Based Myeloid Cell Reprogramming Framework Targeting TAMs, MDSCs, and Dendritic Cells for Precision Oncology Immunotherapy Save
- Stability-Oriented Traffic Classification Framework for Standardized Middleware in Deterministic Wireless Industry 4.0 Networks Save
- Explainable Intelligent Multi-Feature Fusion BTB Model for Teleconsultation in 6G-Enabled Healthcare Systems Save
- Digital Twin-Based Security Deduction Model for Attack Simulation and Defense Optimization in 5G Networks Save
- Bone Cancer Detection in X-Ray Images Using Latent Equivariant Quantum Convolutional Networks with Atomic Orbital Search Optimization Save
- Parkinson’s Disease Recognition from EEG Using Memory-Efficient Hexagonal Vision Convolutional Neural Network with Snake Optimizer Save
- Intrusion Detection and Localization Using Deep Learning Approaches in VANET Environments Save
- Breast Cancer Detection and Classification Using Adaptively Regularized Fuzzy C-Means Based on Kernels Inception Transformer Quantum Generative Adversarial Network with Emperor Penguin Optimization Save
- Intrusion Detection in Wireless Sensor Networks Using a Machine Learning-Driven Cyber Security Framework Save