Mrs. S. Suganya
Qualification : M.C.A, (Ph.D.) (SRM Institute of Science and Technology)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Natural Language Processing | Computer Science | SRM Institute of Science and Technology | Pursuing |
| M.Phil. | Web Mining | Computer Science | Jamal Mohammed College, Bharathidasan University | 2013 |
| M.C.A. | Computer applications | Computer applications | Urumu Dhanalakshmi College, Bharathidasan University | 2010 |
| M.B.A. | Management Studies | Management Studies | Bharathidasan University | 2009 |
| B.C.A. | Computer applications | Computer applications | Jamal Mohammed College, Bharathidasan University | 2007 |
Research Areas:
- NLP, Machine Learning, Deep Learning
Research Identifiers:
- Scopus :
- Vidwan : https://vidwan.inflibnet.ac.in/profile/587428
- Google scholar : https://scholar.google.com/citations?user=SwH9R3kAAAAJ=en&user=h8P8TZIAAAAJ
- h-Index (As per Scopus Data) :
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | MITS | 2025-26 | 2 | Enhancing Rice Bacterial Leaf Blight Detection Accuracy Through RCAMNET – ICCCES-2026, DVD Part No: CFP25VH5-DVD, ISBN: 979-8-3315-5620-4, Page: 234 | Scopus | Conference Proceedings | |
| 2 | MITS | 2025-26 | 1 | Mitigating Adversarial Attacks in Industrial Cybersecurity Through NLP Strategies for E-Commerce, AI-Driven Security and Intelligence in Cloud and IoT Systems, Page: 38, DOI: 10.4018/979-8-3373-7503-8.ch003 (2026) | Scopus | Book Chapter |
Patents
| S.No | Affiliation | Academic Year | Application ID | Title of the Patent | Status |
|---|---|---|---|---|---|
| 1 | MITS | 2025-26 | 6474461 | Block chain based computing device for Network Security | Granted - Design |
| 2 | MITS | 2024-25 | 6396815 | Smart Voice Assisted Computer Device For Visually Impaired Students | Granted - Design |