Dr. S. Kusuma
Qualification : Ph.D. (VIT University)
Designation : Asst. Professor & Head
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Post-Doctoral Researcher | Deep Learning | CSE | Lincoln University College, Malaysia | 2026 |
| Ph.D. | Deep Learning | CSE | VIT University | 2023 |
| M.Tech. | CSE | CSE | Madanapalle Institute of Technology & Science, JNTUA | 2010 |
| B.E. | CSE | CSE | R.L.Jalappa Institute Of Technology & Science, Bangalore/ V.T.U Belgaum. | 2008 |
Research Areas:
- Machine Learning and Deep Neural Networks, Data Science and analytics, Time-Series Data Analysis
Research Identifiers:
- Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=37117010500
- Vidwan Link: https://vidwan.inflibnet.ac.in/profile/280514
- Google scholar Link: https://scholar.google.com/citations?hl=en&user=TU22E6AAAAAJ&view_op=list_works&sortby=pubdate
- h-Index (As per Scopus Data) : 6
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 | BetelProNet Framework: Efficient Deep Learning Model for Betel Leaf Disease Detection | Scopus | Article | Q4 |
| 2 | MITS | 2024-25 | 1 | Optimized Neural Network for Automated Cardiovascular Disease Classification: Meta-heuristic Enabled Model. SN Computer Science, 6(1), 53. Scopus Article Q2 | Scopus | Article | Q2 |
| 3 | MITS | 2024-25 | 1 | Text-Based Audio Correction Using Deep Learning Framework. In 2024 International Conference on Emerging Research in Computational Science (ICERCS) (pp. 1-6). IEEE. | Scopus | Conference Proceedings | |
| 4 | MITS | 2024-25 | 2 | Unlocking a New Era in Human-Computer Interaction with Transformative AI Virtual Mice for Unparalleled Accessibility, Hygiene, and User Experience. In 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET) (pp. 1-5). IEEE | Scopus | Conference Proceedings | |
| 5 | MITS | 2023-24 | 1 | A hybrid deep learning approach for early detection and classification of lung cancer using the pelican optimization algorithm. In 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT) (pp. 1-6). IEEE | Scopus | Conference Proceedings | |
| 6 | MITS | 2023-24 | 1 | Early betel leaf disease detection using vision transformer and deep learning algorithms. International Journal of Information Technology, 16(1), 169-180. | Scopus | Article | Q2 |
| 7 | MITS | 2023-24 | 1 | ECG based cardiac disorder classification using MobileNetV3 and LSTM | Scopus | Article | Q3 |
| 8 | MITS | 2022-23 | 1 | A hybrid model for skin disease classification using transfer learning. In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (pp. 1093-1096). IEEE | Scopus | Conference Proceedings | |
| 9 | Others | 2022-23 | 1 | Bidlnet: An integrated deep learning model for ecg-based heart disease diagnosis. International Journal of Advanced Computer Science and Applications, 13(6). | Scopus | Article | Q2 |
| 10 | Others | 2022-23 | 1 | ECG signals-based automated diagnosis of congestive heart failure using Deep CNN and LSTM architecture. Biocybernetics and Biomedical Engineering, 42(1), 247-257 | Scopus | Article | Q2 |
| 11 | Others | 2021-22 | 1 | Heart Disease Classification Using Multiple K-PCA and Hybrid Deep Learning Approach. Comput. Syst. Sci. Eng., 41(3), 1273-1289 | SCIE | Article | Q2 |
| 12 | Others | 2021-22 | 1 | Cardiovascular Disease Prediction and Comparative Analysis of Varied Classifier Techniques. In 2021 2nd Global Conference for Advancement in Technology (GCAT) (pp. 1-7). IEEE | Scopus | Conference Proceedings | |
| 13 | Others | 2021-22 | 1 | Analysis on deep learning methods for ECG based cardiovascular disease prediction. Scalable Computing: Practice and Experience, 21(1), 127-136. | Scopus | Article | Q4 |
| 14 | Others | 2018-19 | 1 | Driver distraction detection using deep learning and computer vision. In 2019 2nd international conference on intelligent computing, instrumentation and control technologies (ICICICT) (Vol. 1, pp. 289-292). IEEE | Scopus | Conference Proceedings | |
| 15 | Others | 2018-19 | 1 | IOT and Big data analytics in e-Learning: A technological perspective and review. International Journal of Engineering and Technology (UAE), 7(1), 164-167. | Scopus | Article | Q2 |
Research Projects & Events
| S.No | Affiliation | Academic Year | Funded Project /Event | Role | Title of the Project/Event | Amount in Rs. /- | Funding Agency |
|---|---|---|---|---|---|---|---|
| 1 | MITS | 2025-26 | Event | Coordinator | ATAL VAANI | 2,00,000 | AICTE |
| 2 | MITS | 2025-26 | Event | Coordinator | ATAL FDP | 1,00,000 | AICTE |
Patents
| S.No | Affiliation | Academic Year | Application ID | Title of the Patent | Status |
|---|---|---|---|---|---|
| 1 | MITS | 2024-25 | 202441095830 | A system and method for detecting and mitigating vehicle horn misuse in real time | Granted |
| 2 | MITS | 2023-24 | 6327951 | Smart Automobile Health Diagnostic Device | Granted |
Consultancy
| S.No | Affiliation | Academic Year | Name of the Consulting Firm | Title of the Project | Amount in Rs. /- |
|---|---|---|---|---|---|
| 1 | MITS | 2024-25 | Kmbara Data Science Consulting, USA | Data Analysis Research Project on an Organ Transplant System | $150 |
| 2 | MITS | 2023-24 | Ravuru Tech Pvt. Ltd.,Bangalore | A customized LMS platform tailored to corporate e-learning and content delivery needs | 15,000 |
Awards/Achievements
- Received the prestigious Jyestha Acharya Award as part of the Bharat Education Excellence Awards 2024 and 2025.
- Editorial Board Member, American Journal of Artificial Intelligence – Since 2025.
- Global faculty award from AKS Education Awards 2023.
- AWS Acdemy Spoc for the Institution.
- IBM SPOC for college from 2010 to till date.
- Mentor for Google DSC program at our campus in the year 2017.
- Best IBM Mentor award in 2014.
- Mentor for Smart India Hackathon 2020 edition.
- AWS Data Engineering Certified.
- AWS GEN AI Certified
- AWS Cloud Essentials Certified
- Certified in “Data analysis using R” course at big data university.
- Certified in “ LINUX “course at edx.
- IBM certified Associate Developer “Rational application developer” for websphere software v6.0.
- Session speaker for five days online workshop on “Recent Trends in Machine Learning and Big Data” at MITS, Madanapalle.
- Resource person on AI/ML applications in health informatics in One Week Online Faculty Induction Workshop on Thrust Areas organized by Dept. of CSE, Madanapalle Institute of Technology & Science, Madanapalle from 10th oct 2022 to 15th oct 2022.
- Session speaker for five days Faculty Development Program on “Mathematical Foundations for Computational Intelligence,” at MITS, Madanapalle.
- Resource person for guest lecture on “Agentic AI in Action:Shaping the future of Intelligent Systems”,at Annamacharya Institute of Technology & Science,Kadapa on 27.9.25.
- Jury member for Smart India Hackathon at Aditya College of engineering,Madanapalle on 25.9.25.
- Resource person for FDP on Theme Quantum Machine Learning: The Next Leap in AI ,Delivered a session on Frontiers of Quantum Computing: Innovations and Applications in Contemporary Science and Engineering organized by Department of Computer Science & Engineering, Annamacharya Institute of Technology & Science,Kadapa on 06.11.25.