0000-0002-1631-8078 About
Dr. S. Murali is a Professor in the School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. He received his B.E., in Computer Science and Engineering from S. K. Engineering College in 2006, M.E., in Computer Science and Engineering from Arunai Engineering College in 2008 and Ph.D., in Computer Science and Engineering from Vellore Institute of Technology in 2017. He has 14 years of experience in teaching and research. He is also a Master Trainer in NASSCOM Information Security, Cisco Certified Network Associate Instructor and Microsoft certified Professional in .Net. He has published papers in many international and national level conferences and journals on Network security, cloud computing and computer networks. His research interest includes computer networks, Network security, and Data mining. He is the Faculty Coordinator for CODECHEF-VIT student club Chapter since, 2013 and School PAT (Placement and Training) coordinator since, 2017. He got research award from Vellore Institute of Technology in the year 2016, 2017, 2019, 2020 and 2021. He has given many guest talk in various reputed Engineering Colleges in Tamilnadu. He is the guest editor and reviewer in few International journals.
Employment
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Vellore Institute of Technology Professor2010 - Present
Education
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Arunai Engineering College M.E.,2006 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- An Energy-Efficient Cluster-based data aggregation for agriculture irrigation management system using wireless sensor networks Save
- Human–Computer Interaction and Digital Literacy Promote Educational Learning in Pre-school Children: Mediating Role of Psychological Resilience for Kids’ Mental Well-Being and School Readiness Save
- Host utilization prediction using Taylor Kernel Convolutional Neural Network (TKCNN) and workflow scheduling for smart irrigation cloud data centers Save
- Blindness detection in diabetic retinopathy using Bayesian variant-based connected component algorithm in Keras and TensorFlow Save
- A Multimodal Human-Computer Interaction for Smart Learning System Save
- A Novel Ensemble Based Reduced Overfitting Model with Convolutional Neural Network for Traffic Sign Recognition System Save
- Feature extraction and classification of hyperspectral imaging using minimum noise fraction and deep convolutional neural network Save
- Performance Analysis of DGA-Driven Botnets using Artificial Neural networks Save
- Hybrid Electro Search with Ant Colony Optimization Algorithm for Task Scheduling in a Sensor Cloud Environment for Agriculture Irrigation Control System Save
- Architecture for Multisensor Fusion and Integration for Diabetes Monitoring Save