V Vimal
Also known as: Dr. Vrince Vimal
Graphic Era Hill University, Indian Institute of Technology Roorkee
0000-0001-8411-9233
About
Vrince Vimal, SMIEEE, is a Professor in Computer Science Engineering department and Dean Research and Development of Graphic Era University Dehradun. He is also taking care of IPR cell. He obtained his Ph.D. from electronics and communication engineering department, IIT, Roorkee. He received the B.E., in Electronics and Telecommunication Engineering in 2001 from GCOE, Maharashtra and M.Tech., in 2006, under guidance of Dr. S. C. Gupta Prof., (Rtd), IIT, Roorkee. He has over 18 years of experience in delivering Lectures and Business Development in India and abroad. He has published many papers in National/International Journals and attended many Conferences out of which 3 were held out of India. His 9 articles are in SCI/SCIE journals of Q1 category. He has 52 Indian Patents published 4 granted and 2 are under examination. His research interest includes Communication Engineering, 5G, IoT, NB-IoT, and Modelling of cloud IoT interfaces. He is life member IAENG and NSBE.
Employment
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Graphic Era Hill University Professor & Dean Strategy2025 - Present
Education
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Indian Institute of Technology Roorkee Ph.D.,2015 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- An Innovative Secure and Privacy-Preserving Federated Learning-Based Hybrid Deep Learning Model for Intrusion Detection in Internet-Enabled Wireless Sensor Networks Save
- Certificate-Less Healthcare Signature Scheme for Secure Consumer Technology-Centric Wireless Medical Sensor Devices Save
- Deep Learning Approach for Hyper-Multiclass Consumer Electronics Image Clustering Using Contrastive Learning Save
- Influence of Spatial Dispersal among Species in a Prey–Predator Model with Miniature Predator Groups Save
- Automated white corpuscles nucleus segmentation using deep neural network from microscopic blood smear Save
- Dense Tissue Pattern Characterization Using Deep Neural Network Save
- Interfacial Studies of Natural Fiber-Reinforced Particulate Thermoplastic Composites and Their Mechanical Properties Save
- Plant Leaf Disease Identification Using Unsupervised Fuzzy C-Means Clustering and Supervised Classifiers Save
- Comparison of adaptive filtering scheme for sustainable and efficient communication in smart city Save
- Prediction of Stock Price Using Statistical and Ensemble learning Models: A Comparative Study Save