Dr. S. Gopalakrishnan
Qualification : Ph.D. (Anna University)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | CSE | CSE | Anna University | 2023 |
| M.Tech. | IT | IT | Sathyabama University | 2010 |
| B.Tech. | IT | IT | University of Madras | 2004 |
Research Areas:
- Data Science, Internet of Things, Machine Learning
Research Identifiers:
- Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=57326510000
- Vidwan Link: https://vidwan.inflibnet.ac.in/profile/397154
- Google scholar Link: https://scholar.google.com/citations?hl=en&user=LfuiC6cAAAAJ
- h-Index (As per Scopus Data) : 4
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | MITS | 2024-25 | 2 | IoT-Based environmental control System for Fish farms with sensor Integration and machine learning decision support | SCIE | Article | Q1 |
| 2 | MITS | 2024-25 | 3 | An efficient data mining technique and privacy preservation model for healthcare data using improved darts game optimizer-based weighted deep neural network and hybrid encryption | SCE | Article | Q1 |
| 3 | MITS | 2024-25 | 3 | Adaptive Distributed Honeypot Detection Network for Enhanced Cybersecurity Against DoS and DDoS Attacks | ESCI | Article | Q1 |
| 4 | MITS | 2024-25 | 3 | UNCA: a neutrosophic-based framework for robust clustering and enhanced data interpretation | SCIE | Article | Q1 |
| 5 | MITS | 2023-24 | 2 | IoT-Based environmental control System for Fish farms with sensor Integration and machine learning decision support | Scopus | Article | Q4 |
| 6 | MITS | 2022-23 | 1 | Sensitive product feature integrity and confidentiality using blockchain-based internet of things (IoT) architecture | SCIE | Article | Q1 |
Patents
| S.No | Affiliation | Academic Year | Application ID | Title of the Patent | Status |
|---|---|---|---|---|---|
| 1 | MITS | 2023-24 | 02341023252A | Machine learning based edge computing to handle the large amounts of data Generated by industrial machines | Granted |