Assistant Professor |
Ph.D.(Pursuing): GIET University, Gunupur, Odisha
M.Tech: CSE, Srinivasa Institute of Engineering and Technology, Cheyyeru-2015
B.Tech: IT, AMReddy Memorial College of Engineering and Technology, Narasaraopeta 2012
Teaching Experience : 08 Years
SVECW Employee ID : 1251
AICTE Registration ID : 1-3552413913
- Machine Learning
- Deep Learning
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- Mr.D. Srinivasa Rao, “Exploring the Potential of Federated Learning to Empower Credit Card Fraudulent Transaction Detection with Deep Learning Techniques.” Proceedings on Engineering Sciences, Faculty of Engineering, University of Kragujevac, Mar. 2025. https://doi.org/10.24874/PES07.01B.012
- Dileep Kumar Kadali,P L V D Ravi Kumar, V.Leela Prasad ,Srinivasa Rao Dangeti et”Empathy of Diabetics through Supervised Machine Learning Model “published a paper at “grenze International Journal of Engineering and Technology”-Jan 2024 issue.
- Srinivasa Rao Dangeti et al. ‘A research study of Heart Health Monitoring using Deep Learning and IOT: published in IEEE Xplore
- Srinivasa Rao Dangeti et al. ‘A Frame work for smart& secure Vehicle Intelligence Life Monitoring System : published in IEEE Xplore DOI: 10.1109/IDICAIEI58380.2023.10406405, ISBN:979-8-3503-3843-0
- D.Srinivasa Rao et”Exploring the potential of federated learning to empower credit card fraudulent transaction detection with deep learning techniques”DOI 10.24874/PES.SI.24.03.008
Mr. D. Srinivasa Rao. “The Impact of Cloud Computing on Organisational Agility and Competitive Advantage in Management Information Systems.” Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning, IGI Global, Dec. 2024, http://doi.org/10.4018/979-8-3373-1032
- Dileep Kumar Kadali, D. Srinivasa Rao ,PLVD Ravi Kumar published a text book “Data Visualization” at Sree Publications ISBN NO: 978-93-88196-44-4 in nov-2023
- Participated & Completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on International Trends in “AI and Supercomputing for Climate, Energy & Health” at SRINIVASA INSTITUTE OF ENGINEERING AND TECHNOLOGY, from 08.09.2025 to 13.09.2025
- Participated & Completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on “AI-Powered Cyber Threat Intelligence: The Role of Generative AI” in Modern Security , from 18.08.2025 to 23.08.2025
- Participated in the faculty Development Program on “Quantum Computing”, from 11.08.2025 to 18.08.2025
- completed online FDP on “ Data Science “ for one month Conducted by Skill Dzire in collaboration with AICTE. From 03.10.2024-03-11-2024.
- Participated and completed one week Virtual Hands-on FDP on “Cloud Computing Using AWS” Conducted by Mohan Babu University, Tirupati in collaboration with APSSDC, Guntur. From 08.07.2024 to 13.07.2024
- participated 5 Day’s Online International FDP on Data Analyst- Everyday Learning Program, Organized by APSSDC in Collaboration with ExcelR. from 19.06.2023-23.06.2023
- Participated in one Week FDP on IoT with Machine Learning, Organized by PVKK Institute of Technology in association with Pantech E Learning, from 27.11.2023-02.12.2023.
- Mr. Dangeti Srinivasa Rao participated in five days FDP on Research Methodology on Machine Learning and Data Science:” organized by B.V.Raju Institute of Technology
- Mr. Dangeti Srinivasa Rao participated in five days FDP on Power of Visualization analysis:” organized by B.V.Raju Institute of Technology
- Mr. Dangeti Srinivasa Rao acts as a co Ordinator in masterclass in battery management system :”
- Mr. Dangeti Srinivasa Rao participated in One week FDP in cloud Infra structures(AWS) organized by dept. of IT,SRKR Eng. College, with collaboration with Braino vision Solution Indian PVT LTD and ALL India Council for Technical Education(AICTE)
- Dangeti, Srinivasa Rao, Suma Bharati M., Yesujyothi Yerramsetti, and Yeddu Sabitha. “Malware Detection Using a Novel Machine Learning Dynamic Ensemble Classification Approach.” International Conference on E-Mobility, Power Control and Smart Systems: Futuristic Technologies for Sustainable Solutions (ICEMPS 2024), Institute of Electrical and Electronics Engineers (IEEE), June 2024. https://doi.org/10.1109/ICEMPS60684.2024.10559305.
- Mr. Srinivasa Rao Dangeti. “Empathy of Diabetics through Supervised Machine Learning Models.” 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies (ACT 2024), Grenze Scientific Society, Nov. 2024. https://thegrenze.com/index.php?display=page&view=journalabstract&absid=2194&id=8.
- Mr. Srinivasa Rao Dangeti, “Secure Pool Mining through SVM-Based Miner Classification and Computation Validation in Blockchain Networks.” 22nd OITS International Conference on Information Technology (OCIT 2024), Institute of Electrical and Electronics Engineers (IEEE), Dec. 2024. https://doi.org/10.1109/OCIT65031.2024.00102
- Srinivasa Rao Dangeti, “A Framework for Smart & Secure Vehicle Intelligent Life Monitoring System,” 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), Wardha, India, 2023, pp. 1-6, doi: 10.1109/IDICAIEI58380.2023.10406405
- S. R. Dangeti, R. R. PBV, A. S. Mallesh, S. B. M, Y. Yerramsetti and Y. Sabitha, “Malware Detection Using a Novel Machine Learning Dynamic Ensemble Classification Approach,” 2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS), Thiruvananthapuram, India, 2024, pp. 1-5, doi: 10.1109/ICEMPS60684.2024.10559305.
- R. Dhulipudi, S. R. Dangeti, V. Pynam, T. Daniya, P. Das and B. Maram, “A Framework for Smart & Secure Vehicle Intelligent Life Monitoring System,” 2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), Wardha, India, 2023, pp. 1-6, doi: 10.1109/IDICAIEI58380.2023.10406405.
- Completed 12 Weeks course on “Research Methodology” IIT Kharagpur, Jan-Apr 2025
- A patent published titled “AI-Powered System for Dynamic Resource Allocation in Cloud Networks” as an inventor on 18.10.2024 with Application no: 202441075546
- A patent published titled “AI-Driven System for Real-Time Intrusion Detection in Cloud Infrastructure” as an inventor on 18.10.2024 with Application no: 202441075549
