
Ms. Mugala Srisevitha
Assistant Professorr
srisevitha.m@bvrithyderabad.edu.in
AICTE ID: 1-9316222262
JNTUH ID: 0191-210327-121642
Ratified Status: Ratified
Ph.D.: –
M.Tech.: Computer Science and Engineering, Vaageswari College of Engineering, Karimnagar
B.Tech.: Information Technology, Vaageswari College of Engineering, Karimnagar
Teaching Experience: 3.4 Years
Research Experience: Nil
Industry Experience: Nil
Scopus ID: –
WoS ID: 3064-2025
Google Scholar ID: DsGO2hIAAAAJ&hl=en
Vidwan ID: –
ORCID ID: –
Artificial Intelligence
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- “Deep Learning for Early Diagnosis: Enhancing Medical Imaging for Disease Detection” in an International Journal CUESTIONES DE FISIOTERAPIA .(Yet to be Indexed)
- “System Logs Anomaly Detection Using Deep Learning” in 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG
- A Method for Predictive Health Monitoring and Personalized Recommendations Using IoT-Enabled Wearable Devices and AI, Application No: 202441097196
Nil
- International Association of Engineers (IAENG)
- The Society of Digital Information and wireless Communications (SDIWC)
- Institute for Educational Research and Publication (IFERP)
Nil
Nil
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- CSA Bangalore chapter (Organising Team)
- International conference on Applied Mathematics and Advanced Data Analytics for Industry 5.0 (ICAMADA-2024)(Organising Team)
- Four Week Certification Program on “Vulnerability Assessment & Penetration Testing (VAPT) organized by Directorate of Entrepreneurship Innovation and Start-ups Centre of Excellence in Cyber Security JNTUH.
- Block Chain and its Future Applications
- Block chain, Fintech and Cyber Security: shaping the Future of Secure Digital Finance (BFC-25)
Nil
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