T. Y. J. Naga Malleswari

Naga Malleswari T. Y. J. currently working as Associate Professor in the Department of Networking and Communications, SRMIST, Kattankulathur Campus. She has 16 years of overall teaching Experience. She completed B. Tech degree in Computer Science & Engineering in Gudlavalleru Engineering College affiliated to Jawaharlal Nehru Technological University, Hyderabad, Telangana in 2003. Her M. Tech Degree with distinction was in Computer Science & Engineering from Jawaharlal Nehru Technological University, Hyderabad, Telangana in 2008. She pursued doctorate from SRM University, Kattankulathur in 2019. She published many papers in many reputed journals. Cloud Computing, Deep learning, Internet of things are her research interests.

Publications

Optimizing Business Processes Using AI and Digital Twin
Optimizing Business Processes Using AI and Digital Twin
S. Ushasukhanya, T. Y. J. Naga Malleswari, R. Brindha, P. Renukadevi. © 2024. 11 pages.
A key tactic for increasing efficiency throughout value chains is the strategic integration of AI and digital twin technologies to optimize business processes. Understanding...
The Role of Digital Twin Technology in Engagement Detection of Learners in Online Learning Platforms
The Role of Digital Twin Technology in Engagement Detection of Learners in Online Learning Platforms
T. Y. J. Naga Malleswari, S. Ushasukhanya. © 2024. 16 pages.
During and after the pandemic, online learning has been a part of various educational activities. Online educators must precisely detect the learner's engagement to provide...
Enabling Safety and Security Through GANs and Cybersecurity Synergy for Robust Protection
Enabling Safety and Security Through GANs and Cybersecurity Synergy for Robust Protection
Aswathy K. Cherian, Vinoth, M. Vaidhehi, S. Ushasukhanya, Naga Malleswari. © 2024. 10 pages.
In the realm of cybersecurity, machine learning emerges as an indispensable tool for advanced threat detection and protection against digital vulnerabilities. GANs, positioned as...
Role of Predictive Analytics for Enhanced Decision Making in Business Applications
Role of Predictive Analytics for Enhanced Decision Making in Business Applications
T. Y. J. Naga Malleswari, S. Ushasukhanya, M. Karthikeyan, Aswathy K. Cherian, M. Vaidhehi. © 2024. 14 pages.
Predictive analytics, an integral facet of advanced analytics, employs statistical, machine learning, and artificial intelligence techniques to forecast future events. This...