RAVEENDRABABU VEMPATI
SR University, VIKAS GROUP OF INSTITUTIONS, VIT- AP UNIVERSITY
0000-0003-2685-1439
About
Dr. Raveendrababu Vempati is an Assistant Professor in the School of Computer Science and Artificial Intelligence at SR University, Warangal, Telangana, India. He completed his Ph.D. in Electronics Engineering from VIT-AP University, Amaravati, with a research focus on automated emotion recognition using EEG signals and advanced machine learning techniques.
His research interests span Artificial Intelligence, Machine Learning, Deep Learning, Brain-Computer Interfaces (BCI), Biomedical Signal Processing, Explainable AI, Quantum Machine Learning, Cognitive Computing, and Healthcare Informatics. His work primarily focuses on EEG-based emotion recognition, cognitive load assessment, cross-cultural affective computing, neurodegenerative disease diagnosis, medical image analysis, and intelligent healthcare systems.
Dr. Vempati has published several research articles in reputed international journals and conferences, contributing significantly to the fields of affective computing and biomedical artificial intelligence. His recent research explores advanced methodologies such as Superlet Transform, Liquid Neural Networks, Vision Transformers, Quantum Deep Learning, and multimodal learning frameworks for healthcare and human-centered AI applications.
In addition to his research activities, he is actively involved in mentoring undergraduate and postgraduate students, curriculum development, and academic administration. He is committed to fostering interdisciplinary research and developing innovative AI-driven solutions for real-world societal challenges in healthcare, agriculture, cybersecurity, and smart systems.
Employment
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SR University Assistant Professor2025 - Present
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VIKAS GROUP OF INSTITUTIONS Assistant Professor2011 - 2022
Education
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VIT- AP UNIVERSITY Ph.D2021 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (20)
- An Intelligent DDPG Framework for Cost-Efficient Task Scheduling in Multi-Cloud Environment Save
- XDRL: Intelligent and Resilient Task Scheduling in Multi-Cloud Environment Save
- XDL-IRTS: An Intelligent and Resilient Task Scheduling in Large-Scale Cloud Environments Save
- SGA: Intelligent Task Scheduling for Enhanced Throughput and Fault Tolerance in Cloud Environments Save
- Reliability-Aware Cloud Task Scheduling using Large Neighborhood Search Optimization Save
- Meta FOA: Classifying and Scheduling of IoT Tasks in Cloud Computing Environment Save
- MORL: An Intelligent Cost and Reliability-Aware Task Scheduling in Multi-Cloud Data Centers Save
- Integrating Data Science and Meerkat Clan Optimization for Predictive Cloud Task Scheduling Save
- Fuzzy-DRL: Cost and Energy Efficient Task Scheduling in Cloud-Fog Computing Environment Save
- BaOA: Intelligent and Resilient Task Scheduling in Multi-Cloud Environment Save