0000-0002-4949-2099 About
D. S. Vinod holds a Bachelor's degree in Electronics and Communications Engineering and a Master's degree in Computer Engineering from Sri Jayachamarajendra College of Engineering, the University of Mysore, India, as well as a Ph.D. in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, India. He is recipient of the prestigious UGC-DAAD Short-Term Fellowship in Germany.
He has made contributions to the academic community through his publications in peer-reviewed journals and presentations at conferences. His research interests span a diverse range of cutting-edge fields, including Machine Learning, Intelligent Systems, Signal Processing, Medical Image Analysis, and Autonomous Vehicles.
With a strong focus on advancing knowledge and fostering innovation, he is dedicated to exploring emerging trends and addressing complex challenges within these domains. His work reflects a commitment to pushing the boundaries of research and driving meaningful progress in academia and beyond.
Motivated by a passion for innovation, he continues to explore new frontiers in these fields, aiming to tackle complex challenges and pave the way for impactful advancements in both technology and academia.
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Publications (47)
- Multimedia Encryption Using Rubik’s Cube-Inspired Algorithm: A Novel Approach to Audio and Image Security Save
- Multi-modal biometric authentication with DF-RESNET and concatenated GSVM Save
- Extreme Learning Machines and van Emde Boas Tree-based Congestion-Free Model for Social Internet of Things Save
- Optimized Kernel Extreme Learning Machine Scheme and AHBO-EfficientNet for Multimodal Biometric Authentication Save
- Enhancing routing efficiency in social internet of things: R-OPTICS and vEBT based congestion free model Save
- Ensemble Technique for Brain Tumor Patient Survival Prediction Save
- GMM-EM-ACO Model for Congestion Free Routing in Social Internet of Things Save
- A Novel Soft X-Ray Image Benchmark Dataset for Automatic, Non-destructive Internal Quality Detection of Mango Fruits Save
- Metacognitive Neural Network for Emphysema Classification Save
- Root cause analysis threat interpretation and network survivability prediction device for heterogenous networks survivability prediction device for heterogenous networks Save