OM PRAKASH SAMANTRAY
Anil Neerukonda Institute of Technology and Sciences, RAGHU ENGINEERING COLLEGE, Berhampur University, Gandhi Institute of Engineering and Technology, Narasaraopeta Engineering College
0000-0003-1422-7014
About
Dr. Om Prakash Samantray is a Professor at Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, where he is teaching UG/PG students. With a background in Machine Learning, Dr. Samantray has published more than 35 research articles in reputed journals and conferences.
He holds a Ph.D. in Computer Science from Berhampur University, and has published many articles, papers and book chapters. His research interests include ML, Information security, IoT, Cloud Computing and Computer Vision. with a particular emphasis on Machine Learning. Four PhD scholars are working under his supervision at GIET University, Odisha.
You can reach him at [email protected] for any research collaborations.
Employment
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Anil Neerukonda Institute of Technology and Sciences Professor2025 - Present
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RAGHU ENGINEERING COLLEGE Associate Professor2019 - Present
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Narasaraopeta Engineering College ASSOCIATE PROFESSOR2013 - 2019
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Gandhi Institute of Engineering and Technology ASSISTANT PROFESSOR2007 - 2013
Education
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Berhampur University Ph.D.2016 - 2022
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Gandhi Institute of Engineering and Technology M.TECH2008 - 2010
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Gandhi Institute of Engineering and Technology BE2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Deep Kronecker Convolutional eXtreme Gradient Boosting network-based age-related macular degeneration detection using OCT images Save
- Recent Advances in Deep Learning for Diagnosing and Prognosing Age Related Macular Degeneration Using Optical Coherence Tomography Save
- An Efficient and User-Friendly Hybrid Approach for Classifying and Predicting Cardiovascular Disease Risks Save
- Compact Pyramidal dense mixed attention network for Diabetic retinopathy severity prediction under deep learning Save
- DR-HIPI: Performance Evaluation of Retinal Images for DR Lesion Segmentation Using the HIPI Architecture Save
- Smart 5G Small Cell Mobile Networking with Sleep Strategy Using Novel Swarm Optimization Save
- An Efficient Ensemble Malware Detection Method Using Reduced Hybrid Features Save
- An Efficient Hybrid Approach for Malware Detection Using Frequent Opcodes and API Call Sequences Save
- An Opcode-Based Malware Detection Model Using Supervised Learning Algorithms Save
- IoT-Malware Classification Model Using Byte Sequences and Supervised Learning Techniques Save