DR. PRAMODA PATRO
Also known as: P. Patro, Pramoda Patro, Pramoda Trinath Patro, Patro Pramoda Trinath, Patro Pramoda
SR University, K L University, Koneru Lakshmaiah Education Foundation, Berhampur University, Amrutvahini College of Engineering
0000-0003-3942-3927
About
Dr. Pramoda Patro is a distinguished researcher and academician specializing in Biomedical Engineering, Explainable AI (XAI), Quantum Machine Learning, Large Language Models (LLMs), Watermarking, and Steganography. He has published over 30 research papers in reputed journals and conferences and holds more than 10 patents for his innovative contributions to the field of artificial intelligence and security.
Dr. Patro earned his PhD from Koneru Lakshmaiah Education Foundation, specializing in Machine Learning. His work focuses on the intersection of AI and healthcare, particularly in developing advanced models for disease prediction, medical image analysis, and personalized medicine. Additionally, his expertise in quantum AI and data security has led to significant advancements in watermarking and steganography techniques.
Currently, Dr. Patro serves at SR University, actively mentoring researchers and collaborating on cutting-edge projects in AI and healthcare. His contributions continue to shape the future of intelligent systems and their applications in real-world scenarios.
Employment
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SR University Associate Professor2024 - Present
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K L University Associate Professor2022 - 2024
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Amrutvahini College of Engineering Assistant Professor2012 - 2021
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Shri Sharadchandra Pawar College of Engineering Assistant Professor2012 - 2012
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Sanjay Memorial Institute of Technology Department of Computer Science and Engineering Assistant Professor2007 - 2012
Education
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Koneru Lakshmaiah Education Foundation Ph.D2015 - 2021
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Berhampur University M.Tech2007 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- A New AI Framework for Malaria Detection Using Landing AI and MATLAB Save
- Machine Learning‐Driven Intrusion Detection Systems for Anomaly Detection in Vehicular Ad‐Hoc Networks Save
- Federated Learning Approach for Distributed DDoS Detection in VANETs Save
- Machine Learning‐Enhanced DDoS Attack Detection and Mitigation in VANET Infrastructure Save
- AI-Enhanced Advanced Aquaponics in Agricultural Systems Save
- A Machine Learning Using NLP to Predict Long-Term Patient Response Save
- Federated Learning and Digital Twin-Enabled Predictive Security Architectures With Standardized Policy Enforcement for Zero-Touch 6G Networks Save
- Analysing Public Sentiment Towards Climate Change Using Natural Language Processing Save
- Analysing the Textual Analysis of Different NLP Techniques to Classify the Stability of Corporate Reporting Save
- Intelligent data classification using optimized fuzzy neural network and improved cuckoo search optimization Save