S. Ushasukhanya

S. Ushasukhanya is an Assistamt Professor in Department of Networking and Communication Engineering, School of Computing, S.R.M Institute of Science and Technology, Kattankulathur campus, Chennai, India. She is an active Postdoctoral Researcher in Athabasca University, Alberta, Canada. She earned Ph.D. in Computer Science & Engineering from Annamalai University, Chidambaram. She has over twelve years of experience in Teaching and Research. Her areas of interest are Machine Learning, Deep Learning, Medical Image processing and Optimization algorithms. She has published many research papers in many Inter-national Journals and Conferences.

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...
Bio-Medical Wastes Handling Strategies During the COVID-19 Pandemic
Bio-Medical Wastes Handling Strategies During the COVID-19 Pandemic
M. Aaschita Reddy, A. Gaurav, S. Ushasukhanya, V. Chandra Shekhar Rao, Sumanta Bhattacharya, Sampath Boopathi. © 2023. 22 pages.
The handling of genetic residues, biohazardous waste, and other non-shrinkable materials such as e-waste is essential for the preservation of Mother Nature and human wellbeing....