About Myself

 I am Ramesh Saggurthi, Working as Assistant Professor in Department of Artificial Intelligence & Data Science ,Lakireddy Bali Reddy  College of Engineering ,Mylavaram ,Academic expert in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning and Computer Networks. Possess a total of 11 Years experience in  teaching and research field. Pursuing Ph.D in Computer Science and Engineering from Puducherry Technological University,Pondicherry.

Education 

Ph.D. Pursuing in Computer Science and Engineering Puducherry Technological University in Pondicherry from 2024

 M.Tech in Computer Science and Engineering Jawaharlal Nehru Technological University Kakinada, Kakinada in 2015. 

 B.Tech in Computer Science and Information Technology Lakireddy Bali Reddy College of Engineering, Mylavaram – 2011.

Research and Publications:

1.Published a paper titled “Automated Text Recognition and Translation: An Integrated Web Application Approach” at CIIT 2026. (Scopus Indexed).

2.Communicated a paper titled “Real-Time Unconsciousness Detection and Emergency Alert System Based on IoT Technology” at the International Conference on Advances in Computer Science, Information, and Communication Engineering (ICACSICE-2026). (Paper accepted waiting for publication).

3.Communicated a paper titled “Explainable Diabetes Risk Prediction Using Gradient Boosting and SHAP with an Interactive Power BI Dashboard” at the 2nd Congress on Intelligent Machines and Algorithms (CIMA 2026). (Paper accepted waiting for publication).

4. A paper published on titled “Leveraging AI for Holistic Health: An Integrated Web Platform for Nutritional Guidance, Disease Detection and Mental Health Support” in International Conference on Engineering and Technology (ICET-2024).

5. A paper published on titled “Enhanced Multi Threat Detection Classification using lightbgm,catboost”, in Grenze International Journal of Engineering and Technology (GIJET).

6.A paper published on titled Multinet guard: A Deep Learning Framework for Real-Time Multimodal Cyberbullying Detection in Social Media Using Bilstm and CNN

7. A SCI paper published on titled "Brain Tumor Classification Using Neural Networks”, in International Journal of classification 2025. (Paper accepted waiting for publication).

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