Dr. Raveendra Babu Vempati

Assistant Professor, Assistant Dean Research • Department of Computer Science & Artificial Intelligence

PhD from

VIT-AP University

Years of Experience

13 Years

Web Pages

Google Scholar

Contact Details

vempati.raveendra@sru.edu.in

Availability

Mon-Fri 9AM to 5PM

Dr. Raveendra Babu Vempati is an academician, researcher, and technology enthusiast specializing in Artificial Intelligence, Machine Learning, Deep Learning, and emerging intelligent computing technologies. He is currently associated with the School of Computer Science and Artificial Intelligence at SR University, Warangal, Telangana, where he serves as Assistant Dean – Research, contributing to research administration, Ph.D. scholar monitoring, academic development, and institutional research growth.

His research interests include Artificial Intelligence, EEG-based emotion recognition, Brain–Computer Interfaces, healthcare AI, explainable AI, multimodal learning, and intelligent disease prediction systems. His doctoral research focuses on automated emotion recognition from EEG signals using machine learning models. He actively explores advanced signal processing techniques, feature selection methods, and deep learning architectures to develop accurate, robust, and generalizable intelligent systems.

His broader research contributions encompass AI-driven medical image analysis, neurodegenerative disease prediction, pancreatic cancer detection, breast cancer prediction, diabetic retinopathy detection, and agricultural disease classification. He is also interested in privacy-preserving AI, federated learning, Transformer-based architectures, and self-supervised learning.

Dr. Vempati is committed to publishing high-quality research in reputed journals and conferences, mentoring Ph.D. scholars, fostering interdisciplinary collaboration, and translating innovative AI research into practical solutions. Through his academic leadership, research activities, and teaching contributions, he aims to strengthen research excellence, promote innovation, and contribute to the advancement of Artificial Intelligence and its real-world applications.

Interests

My research interests focus on advancing Artificial Intelligence and intelligent computing through innovative data-driven methodologies. My primary areas of interest include Artificial Intelligence Machine Learning Deep Learning and Data Science with particular emphasis on EEG Signal Processing Brain–Computer Interfaces and AI-driven Healthcare Solutions. I am particularly interested in developing robust explainable and generalizable AI models for emotion recognition early disease prediction and medical image analysis. My research also explores Multimodal Learning Transformer Architectures Self-Supervised Learning Generative AI Agentic AI and Explainable Artificial Intelligence (XAI). Additionally I am interested in Computer Vision Biomedical Signal Processing Federated Learning Privacy-Preserving AI Feature Selection and Metaheuristic Optimization. My broader research vision is to develop trustworthy efficient and scalable AI solutions that bridge theoretical innovation with practical applications in healthcare and other real-world domains. Add my specific research contributionsOrganize my interests into themes

Research Areas

Artificial Intelligence and Machine Learning Deep Learning and Neural Networks EEG Signal Processing and Emotion Recognition Brain–Computer Interfaces (BCI) Healthcare AI and Intelligent Disease Prediction Explainable Artificial Intelligence (XAI) Multimodal Learning and Transformer Architectures Generative AI and Self-Supervised Learning Biomedical Signal and Medical Image Analysis Computer Vision and Pattern Recognition Privacy-Preserving AI and Federated Learning Nature-Inspired Optimization and Feature Selection

Student Supervision

Ph.D.: 16 Scholars ongoing, M.Tech.: 15 Completed, B.Tech.: 42 Completed

Ph.D in Artificial Intelligence and Machine Learning

2022-2025

VIT-AP University

M. Tech

2011

JNTUK

B.Tech

2008

JNTUH

Assistant Professor

2025- Till

SR University

Assistant Professor

2011-2022

Vikas Group of Institutions

→ Artificial Intelligence and Machine Learning
→ Deep Learning
→ Data Structures and Algorithms
→ Design and Analysis of Algorithms
→ Software Engineering and System Design
→ Computer Programming using C
→ Data Science and Big Data Analytics
→ Computer Vision and Image Processing
→ Natural Language Processing
→ Neural Networks and Intelligent Systems
→ Cloud Computing
→ Internet of Things (IoT)