Department of Computer Science

• Assistant Professor (Computer Science) – Thiagarajar College — June 2019 to Present.
• Head of the Department (Computer Science) – Sourashtra College for Women (SF) — Sept 2010 to Apr 2019.
• Assistant Professor (Computer Science) – Sourashtra College (SF) — Feb 2005 to Aug 2010.
• Computer Lab Programmer – Sourashtra College for Women (SF) — Sept 2000 to Jan 2005.

• SET qualified in the Year 2012.
• Published 3 Patents.
• Completed Data Analytics with R Programming from Coursera.
• 19+ Years of Teaching Experience.
• 10 Years of Research Experience.

Conferences:

1. “DARKNET(TOR) ACCESSING IDENTIFICATION SYSTEM USING DEEP WIDE CROSS NETWORK” ICAAAIML-2021, Sharda University, NOIDA, 29&30th October 2021
2. “SURVEY OF IMPACT OF BLOCKCHAIN ON HEALTHCARE” INTERNATIONAL CONFERENCE ON DATA SCIENCE AND INFORMATION ECOSYSTEM'21, MADURAI
   GANDHI NMR SUBBARAMAN COLLEGE FOR WOMEN and DEPARTMENT OF COMPUTER SCIENCE MADURAI KAMARAJ UNIVERSITY, 4&5th June 2021
3. “Machine Learning based Malware Detection on Android devices using Behavioural features”, ICITSD-2022, Vellore Institute of Technology, 27&28th January
   2022

Journals:

1. Urmila, T. S, Govindaprabhu, G. B."MFLCNN Based Ai Attendance Wizard: The Next Generation App for Real-Time Attendance Evaluation Using Deep Learning", JOCAAA - Journal of Computational Analysis and Applications, 33, VOL. 33, NO. 7, 2024,318-333.
2. J. I. Christy Eunaicy, T.S. Urmila, C. Jayapratha, J. Naveen Ananda Kumar, J. Jebaraj, G. B. GovindaPrabhu, R. Mahalakshmi Priya “Advancing Alzheimer’s disease diagnosis: a hierarchical vision transformer classification framework with hybrid image processing and generative AI augmentation” Iran Journal of Computer Science ISSN 2520-8446
3. TS Urmila, JI Christy Eunaicy, C Jaypratha, Naveen Ananda Kumar J, Govinda Prabhu G B, Mahalakshmi Priya R, "Harnessing AI for Bacteria Identification: Advances in Imaging,
   Sensors, and Machine Learning – A Comprehensive Review" International Research Journal of Multidisciplinary Scope (IRJMS)
4. RM Alamelu, J Christy Eunaicy, TS Urmila, C Jayapratha, J Naveen Ananda Kumar GovindaPrabhu, RMahalakshmi Priya, “IoT Network Vigilant: A Hybrid Framework for Efficient Prediction of Robust IoT Network” Diyala Journal of Engineering Sciences
5. T.S.Urmila, N.Gnanasankaran, C.Jayapratha, MFLCNN Based Ai Attendance Wizard: The Next Generation App for Real-Time Attendance Evaluation Using Deep Learning, JOCAAA - Journal of Computational Analysis and Applications
6. T.S.Urmila, “Machine learning-based malware detection on Android devices using behavioral features”, Materials today Procedings: Elsevier
7. T.S.Urmila, “Darknet (Tor) Accessing Identification System Using Deep-Wide Cross Network”, Applications of Artificial Intelligence and Machine Learning -Proceedings
8. T.S.Urmila, “Best Feature Selection with Ensemble model in Intrusion Detection System”, Adalya Journal