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Deepika Upadhyay

Dr. Tarun Kumar Agrawal

Assistant Professor, Department of Computer Science & Engineering, CSE

tarunagrawal705@gmail.com/tarun.agrawal@vgu.ac.in

BIO

Dr. Tarun Kumar Agrawal is an academic and research professional with over 10 years of experience in Computer Science & Engineering. He holds a Ph.D. in CSE (Machine Learning & Deep Learning) from Vivekananda Global University . He has taught at various engineering colleges in Jaipur and has served in roles of academic leadership, research supervision and curriculum development. His research focuses on Machine and Deep Learning models for multi-disease prediction and chronic disease forecasting.

Academic Degrees -

  • Ph.D. (CSE, Machine Learning & Deep Learning) – Vivekananda Global University, Jaipur (2024) – Awarded on 25 Oct 2024
  • M.Tech (CSE) – Poornima University, Jaipur (2017)
  • B.Tech (CSE) – (Rajasthan Technical University , Kota) (2012)
  • GATE-2012 Qualified – IIT Delhi

Academic Appointments -

  • Assistant Professor – Vivekananda Global University, Jaipur (Aug 2025 – Present)
  • Assistant Professor (Guest Faculty) – CompuCom Institute of Technology and Management (Jan 2024 – Jan 2025)
  • Assistant Professor – Vivekananda Global University (Mar 2019 – Dec 2022)
  • Assistant Professor – Arya College of Engineering and IT (Jun 2018 – Mar 2019)
  • Assistant Professor – Biyani Group of Colleges (Jul 2017 – Feb 2018)
  • Assistant Professor – Arya Institute of Engineering & Technology (Mar 2014 – Jun 2017)
  • Lecturer – Keshav Vidhyapeeth (Jul 2013 – Apr 2014)

Professional Experience -

  • More than 10 years of teaching experience in Computer Science and IT departments. Worked as Trainee Java Developer (Data Cube Soft Info Tech – Retail ERP Project, 2013)
  • Specializes in Python Programming, DSA, Compiler Design, and Machine Learning.

Research Interests - Machine Learning, Deep Learning, AI in Healthcare, Data Mining, Hybrid Prediction Models

Journal Articles -

  • 2024: Multi-Disease Prediction Method Based on Machine Learning and Computational Approaches – Journal of Propulsion Technology, 45(2)
  • 2024: Heart Disease Diagnosis Using Hybrid Machine Learning Model – IJSER, Vol. 12
  • 2023: Analyses of Predictive Power of ML Procedures Over Multi-Disease Datasets – IEEE CISCT 2023
  • 2022: ML Procedures and Its Assistance in Health Care: A Study – IJERSTE
  • 2022: A Review of Role of ML Models in Coronary Heart Disease Detection
  • 2021: Applications of Deep Learning and Machine Learning – IJIRCS&T
  • 2017: MLP & Naïve Bayes Hybrid Classification Model for Heart Disease Diagnosis – BICON India-Japan Conference
  • 2015: Black Hole Attack Analysis in AODV Routing Protocol – ICARIET Conference

Degree Courses - Python (Tkinter + MySQL), DSA & C++, Computer Graphics & Multimedia, Operating Systems, Compiler Design, Theory of Computation, DBMS, Software Project Management, Data Mining

Drafting of Reports for National Programs

  • Contributed to academic workshop documentation and conference proceedings in Poornima University and VGU