About
Dr. Supreeth S holds a Ph. D. in Computer Science and Engineering from Visvesvaraya Technological University, Belgaum. He has more than twelve years of teaching experience. He has published numerous papers in International Journals and presented at many international conferences in the areas of cloud computing, big data, data analytics, and image processing. His Google Scholar citations are around 300, with an H-index of 11. He has organized various FDPs, workshops, and international conferences. He is a Professional Member of ACM, a Member of IEEE Lifetime Member of CSI and Lifetime Member of ISTE. He is an Editorial Member, and reviewer for many International Journals and conferences. He holds a Red Hat Certified System Administrator (RHCSA) certificate from Red Hat and a VMware Data Center Virtualization certificate from VMware. Currently, he is working as an Associate Professor in the School of Computer Science and Engineering, REVA University, Bengaluru.
Employment
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REVA University Associate Professor2023 - Present
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REVA University Assistant Professor2014 - 2023
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Nagarjuna College Of Engineering & Technology Assistant Professor2013 - 2014
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- An optimized hybrid deep learning model with SHapley Additive exPlanations for pulmonary fibrosis nodule segmentation and severity assessment Save
- Blockchain based machine learning approach for secure and efficient vehicular data monitoring and analysis Save
- Enhanced Multimodal Webpage Classification Using Deep Learning for Efficient Information Retrieval Save
- A predictive energy‐efficient adaptive routing methodology for Mobile Ad hoc Networks Save
- Brain Tumour Detection Using VGG‐Based Feature Extraction With Modified DarkNet‐53 Model Save
- Improvising the Performance of Nomadic Vehicular Cloud by Reducing Task Migrations Save
- Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning Save
- Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques Save
- Virtual Machine Placement Using Adam White Shark Optimization Algorithm in Cloud Computing Save
- Phishing Websites Detection and Evaluation Using Machine Learning Save