Dr. Vijay M. Khadse
Assistant Professor
vmk.comp@coeptech.ac.in
Department of Computer Science and Engineering Shivaji nagar Pune , Maharashtra 411005
Phone: 020-25507316
Qualification :
Ph.D , Pune University , 2021
M.tech, VIT Pune , 2010
Experience:
20 years
Research Interest/Area:
Data Science, Machine Learning and Internet of Things
Recent Teachings:
A.Y. 2023-24
Semester I: Database Management Systems, Advanced Database Management Systems
Semester II: Web systems and Technology, Web Design
Current Advises :
-
Programme Name Roll No Joining Date Ph.D ABDULLAH ZAHID KHAN SHANTANU PAWAR
VISHAL SHETKAR
812303001 812303007
812303009
Jan 2024 MTech NAYAN TARACHAND POOJA GONNALE
YADAV SAURAV
SHREYA KAJBAJE
712322011 712342009
712352049
712352061
June 2024
Awards & Recognition:
Received Best paper award (In session) in 4th International conference on computing , Communication, Control and Automation
Funded Projects:
Fraud Telecommunication call Detection for native language
Publication :
Patents :
Patent No.: 202141042374 A, Title : Image Processing Based Cost Effective Municipal Parking Management System
Conference papers :
1. Security issues in IIoT: A comprehensive survey of attacks on IIoT and its countermeasures. In 2018 IEEE Global Conference on Wireless Computing and Networking (GCWCN) (pp. 124-130). (2018, November), IEEE.
2. An empirical comparison of supervised machine learning algorithms for internet of things data. In 2018 fourth international conference on computing communication control and automation (ICCUBEA) (pp. 1-6). IEEE, (2018, August).
3. Progressive Heterogeneous Ensemble Learning for Cancer Gene Expression Classification. In 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS) (pp. 149-153). IEEE, Aug 2022.
4. Textual Query Translation into Python Source Code using Transformers. In 2022 2nd International Conference on Intelligent Technologies (CONIT) (pp. 1-4). IEEE, 2022, June.
5. Effective Text Comment Classification Using Novel ML Algorithm—Modified Lazy Random Forest. In ICDSMLA 2020: Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications (pp. 81-92). Springer Singapore, 2022.
6. Flow-Based Intrusion Detection for Cloud Computing Environment”, In proceedings of International Conference on Recent trends in Science and Technology 2022 (ICRTST 2022)
Journal papers :
1. Statistical study of machine learning algorithms using parametric and non-parametric tests: A comparative analysis and recommendations. International Journal of Ambient Computing and Intelligence (IJACI), 11(3), 80-105, 2020.
2. A novel approach of ensemble learning with feature reduction for classification of binary and multiclass IoT data. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(6), 2072-2083. 2021.
3. The hybrid framework of ensemble technique in machine learning for phishing detection. International Journal of Information and Computer Security, 21(1-2), 162-184, 2023.
