rthati@gitam.edu
LinkedIn
Google Scholar
ORCiD
Thati Ravi Prasad is from Hyderabad, Telangana. He has overall 11+ years of experience in teaching and research. His area of expertise includes: Applied artificial intelligence and related domains. He did his Master's at NIT Trichy in computer science and engineering. Then worked at several universities in the state. Then he had submitted his Ph.D work on "MULTIMODAL APPROACH TO DEPRESSION DETECTION USING MACHINE LEARNING" at Visveswaraya National Institute of Technology,Nagpur, INDIA.
Research Publications
- Thati Ravi Prasad, Dhadwal, A.S., Kumar, P. et al. A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms. Multimed Tools Appl 82, 4787–4820 (2023). https://doi.org/10.1007/s11042-022-12315-2[Indexed: SCIE]
- Thati Ravi Prasad, Dhadwal, A.S., Kumar, P. et al. Multimodal Depression Detection:Using Fusion Strategies with Smart Phone Usage and Audio-visual International Journal on Artificial Intelligence Tools (2022), World Scientific Publishing Company, Volume 32, Issue 2, DOI:https://doi.org/10.1142/S0218213023400080 [Indexed: SCIE]
- Thati Ravi Prasad and Janardhan naulegari. Investigation of symmetric and asymmetric eye patterns for bells palsy diagnosis, proceedings of 21st OITS International Conference on Information Technology ( OCIT 2023 ), Dec 13-15th, 2023.DOI:https://doi.org/10.1109/OCIT59427.2023.10431126
- Thati Ravi Prasad, MD meraj and Praveen Kumar. An investigation of ensemble based framework for stress detection using multimodal clues, proceedings of 2nd International Conference on Advanced Communications and Machine Intelligence (MICA 2023 ), Oct 30-31st, 2023.(Springer)
- Thati Ravi Prasad and Suresh mamidisetti . Apparent Personality Traits Detection Based on Correlation-Based Attention and Feature Weighting Methods. In: Chillarige, R.R., Distefano, S., Rawat, S.S. (eds) Advances in Computational Intelligence and Informatics. ICACII 2023. Lecture Notes in Networks and Systems, vol 993. Springer Singapore. https://doi.org/10.1007/978-981-97-4727-6\_40
