Mr. A. Kalyan Kumar
Qualification : M.Tech., (Ph.D) (Acharya Nagarjuna University)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Machine Learning | Computer Science & Engineering | Acharya Nagarjuna University | Pursuing |
| M.Tech. | Computer Science & Engineering | Computer Science & Engineering | SRK Institute of Technology | 2017 |
| B.Tech. | Computer Science & Engineering | Computer Science & Engineering | Sri Sarathi Institute of Engineering &Technology | 2013 |
Research Areas:
- Machine Learning, Data Mining
Research Identifiers:
- Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=58832808000
- Vidwan Link: https://mits.irins.org/profile/460087
- Google scholar Link: https://scholar.google.com/citations?user=hXzhO5cAAAAJ&hl=en
- h-Index (As per Scopus Data) : 3
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 | An opinionated sentiment analysis using a rule-based method, Bulletin of Electrical Engineering and Informatics 14(1), pp. 726-732 | Scopus | Article | Q3 |
| 2 | MITS | 2024-25 | 1 | Scalability and performance of decision tree for cardiovascular disease prediction, Iaes International Journal of Artificial Intelligence 13(3), pp. 2540-2545 | Scopus | Article | Q2 |
| 3 | Others | 2024-25 | 1 | Machine Learning Driven Feature Extraction and Dimensionality Reduction for Image Classification Journal of Machine and Computing 4(3), pp. 541-552 | Scopus | Article | Q2 |
| 4 | MITS | 2023-24 | 2 | The Future of Neurodiagnostic: Deep Learning for Earlier Intervention, Journal of Machine and Computing4(3), pp. 541-552 | Scopus | Article | Q2 |
| 5 | MITS | 2023-24 | 1 | Early prediction of chronic heart disease with recursive feature elimination and supervised learning techniques, Iaes International Journal of Artificial Intelligence 13(1), pp. 730-736 | Scopus | Article | Q2 |
| 6 | MITS | 2023-24 | 1 | Improving Cardiovascular Disease Prediction: Machine Learning and Cross-Fold Validation, 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2024 | Scopus | Conference Proceedings | |
| 7 | MITS | 2023-24 | 1 | Feature Contribution to an In-Depth Understanding of the Machine Learning Model Interpretation, Przeglad Elektrotechniczny 2024(2), pp. 145-148 | Scopus | Article | Q4 |
| 8 | MITS | 2023-24 | 1 | Real-Time Eye-Tracking Mouse Control System Using OpenCV and Facial Landmark Detection, 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies Inspect 2024 | Scopus | Conference Proceedings | |
| 9 | MITS | 2023-24 | 1 | Enhancing Alzheimer's Disease Detection: A Comparative Study of Deep Learning Techniques with Transfer Learning and Custom CNN Models, ins 2024 2nd International Conference on Computational Intelligence and Network Systems | Scopus | Conference Proceedings | |
| 10 | MITS | 2023-24 | 1 | OLGV3 NET: OPTIMIZED LIGHTGBM WITH INCEPTIONV3 FOR ACCURATE MULTI-CLASS BREAST CANCER IMAGE CLASSIFICATION, Journal of Theoretical and Applied Information Technology 101(24), pp. 8147-8162 | Scopus | Article | Q2 |