Kuldeep Kumar
National Institute of Technology Kurukshetra, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, National University of Singapore, Birla Institute of Technology and Science, Pilani
About
Dr Kuldeep Kumar received his Ph.D. degree from the School of Computing, National University of Singapore, Singapore. Currently, he is working as an Assistant Professor in the Department of Computer Engineering at the National Institute of Technology, Kurukshetra. Before that, he worked at the Birla Institute of Technology and Science Pilani and the National Institute of Technology Jalandhar for more than six years. His research interests include Software Engineering, Machine Learning, and Data Analytics.
Employment
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National Institute of Technology Kurukshetra Assistant Professor2022 - Present
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Dr. B. R. Ambedkar National Institute of Technology Jalandhar Assistant Professor2018 - 2022
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Birla Institute of Technology and Science, Pilani Assistant Professor2016 - 2017
Education
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National Institute of Technology Kurukshetra MTech
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National University of Singapore PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (51)
- AHBO-DMN: Autoregressive Honey Badger Optimization Deep Maxout Network for Credibility Assessment of Web-Based Health Information Save
- Breaking down health fakes: a hybrid DNN model for multi-class classification on a self-constructed dataset Save
- Hybrid optimization-enabled deep Q network for fault prediction in service-oriented architecture Save
- A rule-based fuzzy ant colony improvement (ACI) approach for automated disease diagnoses Save
- Artificial Intelligence in Software Engineering: Perspectives and Challenges Save
- Code smell prioritization in object-oriented software systems: A systematic literature review Save
- Data quality issues in software fault prediction: a systematic literature review Save
- Software Cost Estimation: A Literature Review and Current Trends Save
- Software Fault Prediction for Imbalanced Data: A Survey on Recent Developments Save
- TA-WHI: Text Analysis of Web-Based Health Information Save