Brief Profile
Dr. V Kumar obtained his MCA degree from Department of Computer Science and Engineering, Nagarjuna University, A.P., M. Tech(CSE) from Department of Computer Science and Engineering, Osmania University, Hyderabad, and Ph.D. from the Department of Computer Science, Bharathiar University, Coimbatore. Before joining the Central University of Kerala as an Assistant Professor (December 2013), he worked as a faculty in various engineering colleges in Andhra Pradesh and Telangana (2001 to 2013). He has cleared UGC-NET and APSET in 2012 and Qualified GATE in 2005.
His research/teaching interests are Data Mining, Algorithms Design and Analysis, Time Series Analysis and Forecasting, predictive analytics. Seven research papers were presented at many National and International Conferences and published seven research papers in international journals. He has four conference proceedings/Book chapters and 12 Workshops/Conferences/FDPs organized/attended.
Recent and Major Publications
- V. Kumar P.S. Pravitha,"KENDUR REGION COCONUT DISEASE CLASSIFICATION: A COMPARATIVE ANALYSIS WITH DEEP LEARNING AND TRANSFER LEARNING MODELS",ICTACT Journal of Soft Computing,15, 3639 - 3645
- Manas Rahman, Kumar V,"A Hybrid Recommendation System for Retail Marketing",2023 2nd International Conference on Futuristic Technologies (INCOFT),10-16
- KN Archana, V Kumar,"GMM-Based Mean Approximation for Skin Disease Classification using Machine Learning",2023 International Conference on Computational Intelligence, Networks and Security (ICCINS),1-5
- PS Pravitha, V Kumar,"Unlocking the Potential of Transfer Learning for Leaf Disease Detection: A Comprehensive Study with CNN and Pre-Trained Architectures",2023 International Conference on Computational Intelligence, Networks and Security (ICCINS),1-6
- Mariyam Irshada, V Kumar,"SMOTE and ExtraTreesRegressor based random forest technique for predicting Australian rainfall",International Journal of Information Technology,15, 679–1687
- Manas Rahman, V Kumar,"Machine Learning Based Customer Churn Prediction In Banking",2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA),1196-1201
- Kumar vasimalla, Narasimham Challa, Deekshitha,,"Forecasting Stock Index Data Using Hybrid Models",Journal of Engineering and Applied Sciences,14, 2752-2763
- V Kumar, Narasimham Challa,"Forecasting Labelled and Unlabeled Time Series Data with Frequency Based KNN Prediction",Journal of Computational Information Systems,15, 8-16
- V Kumar, Narasimham Challa, Manohar Naik S,"Efficient dynamic time warping for time series classification",Indian Journal of Science and Technology,9,1-7
- V Kumar, Narasimham Challa,"Multivariate Time Series Forecasting",International Journal of Applied Engineering Research,10, 412-418
- V Kumar, Narasimham Challa,"Analysis and Forecasting of Stock Price Values",International Journal of Applied Engineering Research,10, 1-7
- Kumar Vasimalla,"A survey on time series data mining",Intern. J. of Innovative Research in Computer and Communication Engineering,2, 170-179
- Kumar Vasimalla,"Improved Personalized Recommender System Based on Collaborative Filtering",Proceedings of National Conference of Data Mining,1 & 118-123
Books / Chapters
Chapter(s) - Co-Author, (2025). Computational Intelligence, Cyber Security and Computational Models. Emerging Trends in Computational Models, Intelligence and Security Systems, Springer(Switzerland AG 2025), 978-3-031-88297-5Chapter(s) - Co-Author, (2018). Infinitude: Frontiers of Research in Mathematical and Computing Science, UGC-HRDC: University of Calicut, 9789387398825Book - Co-Author, (2021). Intelligent Computing and Signal Processing, Narosa, 978-81-8487-691-8Book - Co-Author, (2021). Data Mining and Predictive Analytics, Today & Tomorrows Printers and Publishers, 13:9878170197003
Miscellaneous
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Teaching & Research Guidance
- Data Mining, Data Base Management Systems, Algorithm Analysis and Design, Big Data Analytics.:Post Graduate
- Stream Mining, Time Series Analysis:Research Guidance
- Data Structures through C, C++, Java:Under Graduate