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Dr. Tarun Kumar Agrawal
Dr. Tarun Kumar Agrawal
Assistant Professor
🎓 Ph.D. (CSE), M.Tech (CSE), B.Tech (CSE)
⏱️ 14 Years Experience
✉️ tarun.agrawal@vgu.ac.in
Specialization: Machine Learning, Deep Learning, Healthcare Data Analytics, Predictive Modeling
Academic Achievements
Research & Publications
Affiliations & Engagements
Awards & Honours

Bio

Dr. Tarun Kumar Agrawal is a Senior Lecturer and researcher in Computer Science with over 10 years of teaching experience. He holds a PhD in Machine Learning and specialises in healthcare predictive analytics. He has guided PhD scholars and published multiple research papers in reputed journals and IEEE conferences.

Academic Degrees

  • Ph.D. (CSE – Machine Learning & Deep Learning), VGU Jaipur, 2024
  • M.Tech (CSE), Poornima University, 2017
  • B.Tech (CSE), RTU Kota, 2012

Academic Appointments

  • Assistant Professor (Guest Faculty), CompuCom Institute of Technology and Management, Jaipur (Jan 2024 – Jan 2025)(Subjects: Python Programming, Data Structures & Algorithms)
  • Assistant Professor, Computer Science Engineering, Vivekananda Global University, Jaipur (Mar 2019 – Dec 2022)
  • Assistant Professor, Computer Science Engineering, Arya College of Engineering & IT, Jaipur (Jun 2018 – Mar 2019)
  • Assistant Professor, Information Technology Department, Biyani Group of Colleges, Jaipur (Jul 2017 – Feb 2018)
  • Assistant Professor, Computer Science Engineering, Arya Institute of Engineering & Technology, Jaipur (Mar 2014 – Jun 2017)
  • Computer Science Lecturer, Keshav Vidyapeeth, Jaipur (Jul 2013 – Apr 2014)
  • Trainee Java Developer, Data Cube Soft Info Tech (Retail ERP Project) (Mar 2013 – Jun 2013)

Courses Taught

DSA, Python, OS, DBMS, TOC, Compiler Design, CN, Java, Data Mining

Research Interests

Research Interests:

Machine Learning

Deep Learning

Healthcare Data Analytics

Predictive Modeling

Publications

T. K. Agarwal, B. Singh, and N. Chaudhary, “Multi-Disease Prediction Method Based on Machine Learning and Computational Approaches,” Journal of Propulsion Technology, vol. 45, no. 2, 2024.
T. Agrawal and D. Gupta, “Heart Disease Diagnosis Using Hybrid Machine Learning Model in Layered Classification Approach,” International Journal of Scientific & Engineering Research, vol. 12, pp. 12–15, 2024, doi: 10.70729/SE241223182706.
T. K. Agarwal, B. Singh, and N. Chaudhary, “Analyse the Predictive Power of Machine Learning Procedures Over Multiple Disease Datasets,” in Proc. 3rd Int. Conf. Innovative Sustainable Computational Technologies (CISCT), 2023.
T. K. Agarwal, B. Singh, and N. Choudhary, “Machine Learning Procedures and Its Assistance in Health Care: A Study,” International Journal of Enhanced Research in Science, Technology & Engineering, vol. 11, no. 12, Dec. 2022.
T. K. Agarwal and H. Sharma, “A Review of Role of Machine Learning Models in Coronary Heart Disease Detection Accuracy,” 2022.
T. K. Agrawal, “Neural Network and Naïve Bayes Based Hybrid Classification Model,” International Journal of Creative Research Thoughts (IJCRT), vol. 10, no. 2, Feb. 2022.
T. K. Agarwal, “Applications of Deep Learning and Machine Learning,” International Journal of Innovative Research in Computer Science & Technology, vol. 9, no. 4, pp. 62–65, 2021.
T. K. Agarwal, “Improve Heart Disease Diagnosis Detection Accuracy by Using Machine Learning Models: A Review,” International Journal of Computer Science, vol. 7, Feb. 2022.
T. K. Agarwal, “Multilayer Perceptron (MLP) and Naïve Bayes Based Hybrid Classification Model for Heart Disease Diagnosis,” in Proc. BICON-2017 India-Japan Int. Conf., Oct. 2017.
T. K. Agarwal, “Black Hole Attack Analysis and Detection Using Sequence Number in AODV Routing Protocol in Mobile Ad-hoc Networks,” in Proc. Int. Conf. Advance Research & Innovation in Engineering & Technology (ICARIET), Mar. 2015.
T. K. Agarwal, “Security Analysis and Challenges in IPv4 to IPv6 Transition Mechanism,” in Proc. Int. Conf. Advance Research & Innovation in Engineering & Technology (ICARIET), Mar. 2015.

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Quick Info
🏛️ Department
Department of Computer Science and Engineering
🎓 Qualification
Ph.D. (CSE), M.Tech (CSE), B.Tech (CSE)
⏱️ Experience
14 Years
🔬 Specialization
Machine Learning, Deep Learning, Healthcare Data Analytics, Predictive Modeling
✉️ Email
tarun.agrawal@vgu.ac.in
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