Prateek Thakral
Jaypee University of Information Technology, National Institute of Technology Kurukshetra, Himalayan Group of Professional Institutions
About
Mr. Prateek is currently working as Assistant Professor (Grade-II) in Department of Computer Science & Engineering, Jaypee University of Information Technology, Solan (Himachal Pradesh). He did B. Tech and M. Tech in Computer Engineering from Kurukshetra University Kurukshetra (NAAC A++ Accredited) in 2010 and 2013 respectively. Before joining JUIT, he worked as Assistant Professor (on contract) in NIT Kurukshetra for 4 years. He has more than 11 years of rich teaching experience along with 18+ publications in various reputed book chapters, journals & international conferences. He has qualified GATE 2016 Exam as well as UGC NET Exam twice in year 2017 and 2018. His area of interests includes Operating Systems, Database Management Systems, Python Programming, Data Structures and many more.
Employment
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Jaypee University of Information Technology Assistant Professor2018 - Present
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National Institute of Technology Kurukshetra Assistant Professor2014 - 2018
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Himalayan Group of Professional Institutions Assistant Professor2014 - 2014
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Seth Jai Parkash Mukand Lal Institute of Engineering and Technology Assistant Professor2010 - 2011
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- KM-RDA: A New Meta-Heuristic Approach for Data Clustering Problem Save
- A Simplex Method based Water Flow Optimizer Algorithm for Effective Data Clustering Save
- Pre-examination and Classification of Brain Tumor Dataset Using Machine Learning Save
- An improved transient search optimisation technique for effective data clustering Save
- Multi-Search Strategy-based Improved Water Flow Optimizer Algorithm for Cluster Analysis Save
- An Improved Water Flow Optimizer for Data Clustering Save
- Analysis of Employee Attrition using Statistical and Machine Learning Approaches Save
- A Comprehensive Study of Cryptocurrency Trend Analysis Based on a Novel Machine Learning Technique Save
- Meticulous Presaging Arrhythmia Fibrillation for Heart Disease Classification Using Oversampling Method for Multiple Classifiers Based on Machine Learning Save
- Compendium of Data Security in Cloud Storage By Applying Hybridization of Encryption Algorithm Save