Remani Naga Venkata Jagan Mohan
Sagi Ramakrishnam Raju Engineering College, Acharya Nagarjuna University
0000-0003-1457-0824
About
Dr.R.N.V.Jagan Mohan, working as a Associate Professor in Department
of Computer Science and Engineering, SRKR Engineering College, Bhimavaram. He received his PhD degree from Acharya Nagarjuna University in 2015. His past research is credited with laying the foundation for the field of Real-Time Machine Learning System with Predictive Constraints considerations, while his current research focuses on Metric Learning, Cloud Computing, Big Data Analytics and Blockchain.
Dr.Jagan is involved with Research Project,India and Israel Joint Collaboration,2018-2021.
His research activities culminated with more than 30 publications, 5 Published Patents, and 5 Text Books published in reputable venues. He is a technical reviewer at leading international conferences and Journals. In addition to his academic experience, he has a valuable Network Consulting experience in SRKREngineeringCollege.
Employment
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Sagi Ramakrishnam Raju Engineering College Associate Professor2017 - Present
Education
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Acharya Nagarjuna University Ph.D2010 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (59)
- Improving fish image detection speed with hybrid VGG16 and darknet Save
- RING THEORY-BASED AGRICULTURE RISK IDENTIFICATION USING HYBRID MODELS Save
- Uncertain crime data analysis using hybrid approach Save
- Next-gen agriculture: integrating AI and XAI for precision crop yield predictions Save
- Tackle Comorbid Obesity in T2DM by Applying New Strategies to Optimize Glycaemic Control and Weight Management Save
- SHAP-Driven Interpretability of Autism Risk in Pregnancy using Explainable AI Save
- Predictive AI Treatment for Kidney Tumors with Privacy Protection Save
- Multi-Crop Analysis Using Multi-Regression via AI-based Federated Learning Save
- Maternal Dyslipidemia During Pregnancy Correlates with Elevated Lipid Levels in One-Year-Old Infants Save
- Increasing the Reliability of Intercropping in Agriculture Using Machine Learning Save