Ph.D.: Data Preprocessing and Analysis (Computer Science), Sant Longowal Institute of Engineering and Technology, Punjab, 2023.
PG: M.Tech (Information Technology), Chandigarh Engineering College, Mohali, 2018.
UG: B.Tech (Information Technology), National Institute of Technology, Srinagar, 2012.
Teaching Experience: 1 Year 4 Months
Research Experience: 4 years
Industry Experience: 3 years
Contact Number: +91 9718835810
BVRITN Employee ID: BVRIT01134
JNTUH Registration ID: 5204-230412-233236
- Data Science
- Big Data Analytics
- Image Processing
- Recommendation Systems
- Data Preprocessing
- Deep Learning
- UGC NET 2018.
- SET 2018
- IIT-JEE 2008.
- V. Bhagat, G. Uday Kiran, and M. Singh, “ImpClust: An algorithm to cluster chemical datasets for drug discovery,” Int. J. Intell. Eng. Syst., vol. 17, no. 1, pp. 54–64, 2024.
- Bhagat, H.V. and Singh, M., 2023. A novel algorithm for imputing the missing values in incomplete datasets. Iran Journal of Computer Science, pp.1-11.
- V. Bhagat and M. Singh, “NMVI: A data-splitting based imputation technique for distinct types of missing data,” Chemometrics and Intelligent Laboratory Systems, vol. 223, pp. 104518, 2022.
- V. Bhagat and M. Singh, “DPCF: A framework for imputing missing values and clustering data in the drug discovery process,” Chemometrics and Intelligent Laboratory Systems, vol. 231, pp.104686, 2022.
- Bhagat and M. Singh, “A comparative approach to evaluate different CVIs using grid Kmeans and improved K-means clustering,” International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 4, pp. 4539–4545, 2020.
- Hutashan Vishal Bhagat, Shashi Bhushan, Sachin Majithia, “Consummate Approach for Classification and Pattern Matching for a Web usage-based Recommendation System”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.826-830, 2018.
- Hutashan V. Bhagat, Shashi B. and Sachin M., “MF-NB Learning Based Approach for Recommendation System”, International Journal of Information Technology and Computer Science (IJITCS), Vol.10, No.10, pp.31-37, 2018.
- Hutashan V. Bhagat; Manminder Singh, “Machine‐Learning and Deep‐Learning Techniques in Social Sciences,” in Machine Learning Algorithms for Signal and Image Processing, IEEE Press, pp.409-428, 2023.
- Hutashan V. Bhagat; Manminder Singh, “Deployment of Machine Learning and Deep Learning Algorithms in Industrial Engineering,” in Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things (pp. 194-204).
- Abhishek, H. V. Bhagat and M. Singh, “A Machine Learning Model for the Early Prediction of Cardiovascular Disease in Patients,” 2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC), IEEE Conference, Puducherry, India, 2023, pp. 1-5.
- Hutashan V. Bhagat; Manminder Singh, “An algorithm to impute missing values in medical datasets to predict the risk of diseases in patients,” 2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON), February 2023.
- Bhagat, Manminder Singh, “Current Trends in Big Data,” A multi-track national Conference SLIETCON-2019, Chandigarh, India, March 2019.
- Bhagat, B.Kaur, “Recommendation System: A Review,”5th International Conference on “Computing for Sustainable Global Development”, IEEE Conference, March 2018.
- Five days Online Short-term training program on “Recent Advances in Artificial Intelligence”. Organized by NIT Uttarakhand.
- Six days AICTE – QIP sponsored One Week Short Term Course on Advancements in Computer Science and Information Technology (ACSIT – 2021)
- Five days AICTE Training And Learning (ATAL) Academy FDP on “Internet of Things (IoT)“
- One week Workshop on “Machine Learning” organized by CETPA.
