Dr. Surabhi Kesarwani
Assistant Professor
Department of Computer Science & Engineering
Noida International University, Greater Noida, India
Email: Surabhi.kesarwani@niu.edu.in
🔹 Short Introduction
Dr. Surabhi Kesarwani is a dedicated researcher and academician with expertise in computer science, artificial intelligence, and machine learning. She is currently serving as an Assistant Professor in the Department of Computer Science & Engineering at Noida International University. With a Ph.D. in Computer Science from Dr. A.P.J. Abdul Kalam Technical University, she has made significant contributions to research in ensemble learning, multi-agent systems, and classification algorithms. Dr. Kesarwani has authored and co-authored several publications in Scopus and UGC-listed journals and has been an active participant in numerous FDPs, workshops, and national/international conferences.
🔹 Educational Qualifications
| Degree | Specialization | Institution | University | Year |
|---|---|---|---|---|
| Ph.D. | Computer Science | IET, Lucknow | Dr. A.P.J. Abdul Kalam Technical University | 2022 |
| M.Tech | Computer Science & Engineering | IET, Lucknow | Dr. A.P.J. Abdul Kalam Technical University | 2015 |
| B.Tech | Computer Science & Engineering | NIT Raipur | NIT Raipur | 2010 |
🔹 Research Interests
- Ensemble Learning
- Multi-Agent Systems
- Classification Algorithms
- Artificial Intelligence
- Data Mining
- Machine Learning
🔹 Subjects Taught
- Data Structures
- Artificial Intelligence
- Python Programming
- Machine Learning
- Theory of Computation
- Compiler Design
- C Programming
- Software Engineering
🔹 Academic and Administrative Experience
| Designation | Institution | Duration |
|---|---|---|
| Assistant Professor | Noida International University | 2023 – Present |
| Assistant Professor | IILM Academy of Higher Learning, Greater Noida | 2017 – 2023 |
| Assistant Professor | United College of Engineering and Research | 2015 – 2016 |
🔹 Research Publications
International Journals (Scopus/UGC Listed)
- Kesarwani, S., & Dubey, H. (2023). A hybrid ensemble-based multi-agent classification approach for disease detection. Journal of Intelligent & Fuzzy Systems, IOS Press (Scopus Indexed).
- Kesarwani, S., & Dubey, H. (2022). Weighted-voting based ensemble model for classification using agent interaction. International Journal of Computer Applications.
- Kesarwani, S. et al. (2020). Optimized random forest ensemble for breast cancer detection. International Journal of Engineering Research and Technology (IJERT).
Conferences
- Presented a paper titled Optimized Ensemble Method for Skin Disease Classification at ICCCIS 2023, Amity University (Scopus Indexed)
- Presented paper at ICACTA 2022, on Agent-Based Model for Epidemic Prediction
- Attended and presented in IEEE Conference on Emerging Trends in Computing and Communication Technologies, 2021
🔹 Workshops & Faculty Development Programs (FDPs)
- AICTE-ATAL FDP on "Recent Trends in Machine Learning" – 2022
- FDP on "Outcome Based Education and NBA Accreditation" – 2021
- Workshop on "AI and Deep Learning using Python" organized by IIT Kanpur – 2021
- Participated in FDPs on "Data Science with Python" and "Cloud Computing Fundamentals"
