1. J. Parmar, S. S. Chouhan, V. Raychoudhury, and S. S. Rathore, “Open-world machine learning: Applications, challenges, and opportunities,” ACM Comput. Surv., vol. 55, no. 10, Feb. 2023, issn: 0360-0300 (SCI Q1: Impact Factor: 28.0).
2. J. Parmar, S. S. Chouhan, and V. Raychoudhury, “A machine learning based framework to identify unseen classes in open-world text classification,” Information Processing & Management, vol. 60, no. 2, p. 103 214, 2023, issn: 0306-4573 (SCI Q1: Impact Factor: 6.9).
3. P. S. Thakur, S. S. Chouhan, S. S. Rathore, and J. Parmar, “Systematic literature review on software code smell detection approaches,” Journal of Systems and Software, p. 112 784, 2026 (SCI Q1: Impact Factor: 4.1 ).
4. G. Behera, B. K. Swain, R. K. Soni, and J. Parmar, “Vaemrs: Variational autoencoder based movie recommender system.,” Journal of Engineering Science & Technology Review, vol. 17, no. 6, 2024.

1. S. Labhaniya, J. Parmar, S. Pandey, D. Katkade, and D. Mathur, “A survey of machine learning techniques for enhancing scene description in assistive systems,” in 2025 Eighth International Conference on Image Information Processing (ICIIP), IEEE, 2025, pp. 407–414.
2. J. Parmar, “Ensemble-based diabetic retinopathy detection using cnn, random forest, and adaboost,” in 2025 IEEE International Conference on Recent Advances in Computing and Systems (REACS), IEEE, 2025, pp. 1–6.
3.  P. J. Barot, J. Parmar, and R. Mishra, “Predictive modeling for chronic kidney disease with machine learning algorithms,” in International Conference on Robotics, Control, Automation and Artificial Intelligence, Springer, 2024, pp. 73–85.
4.  G. Behera, B. K. Swain, J. Parmar, M. Sahu, and B. Panda, “A comprehensive comparative study of breast cancer detection using machine learning techniques to improve diagnosis,” in International Conference on Computing, Communication and Learning, Springer, 2024, pp. 151–164.
5.  A. Chouke, V. K. Jain, J. Parmar, S. S. P. Shukla, and A. K. Verma, “Identity verification: A decentralized kyc approach using blockchain,” in In the proceedings of International Conference on Cyber Warfare, Security and Space Computing, Springer, 2024, pp. 252–264.
6.  O. Delvadia, J. Parmar, P. Gupta, K. L. H. Vardhan, D. Gandhi, and A. K. Verma, “Eauthenticate: Enhancing security with machine learning based real-time open-world anti-spoofing method,” in International Conference on Computation of Artificial Intelligence & Machine Learning, Springer, 2024, pp. 305–318.
7.  G. H. S. Dixit, J. Parmar, A. K. Verma, R. Mishra, and G. Behera, “Active learning framework for anomaly detection in astronomical data,” in 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, pp. 1–8.
8.  A. Seetha, J. Parmar, S. S. Chouhan, E. S. Pilli, and A. Jain, “D is e v d: A benchmark dataset for disruptive event identification from online social network,” in International Conference on Big Data Analytics, Springer, 2024, pp. 55–74.
9.  J. Parmar and S. S. Chouhan, “Open-world machine learning for unknown class identification in human-machine interaction systems,” in Evolution in Computational Intelligence: Proceedings of the 10th InternationalConf erenceonF rontiersinIntelligentComputing :
   T heoryandApplications(F ICT A2022), Springer, 2023, pp. 335–343.
10.  J. Parmar, S. Soni, and S. S. Chouhan, “Owi: Open-world intent identification framework for dialog based system,” in In the proceedings of Big Data Analytics: 8th International Conference, BDA 2020, Sonepat, India, December 15–18, 2020, Proceedings, Springer, 2020, pp. 329–343.
11. J. Parmar, “A classification based approach to create database policy for intrusion detection and respond anomaly requests,” in In the proceedings of Conference on IT in Business, Industry and Government (CSIBIG), IEEE, 2014, pp. 1–7.
12. J. Parmar, “Data security, intrusion detection, database access control, policy creation and anomaly response systems-a review,” in In the proceedings of International Conference on Advances in Engineering & Technology Research (ICAETR-2014), IEEE, 2014, pp. 1–6.
13.  J. Parmar and P. Jain, “A different approach of intrusion detection and response system for relational databases,” in In the proceedings of International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), IEEE, 2013, pp. 894–899.

1. C. Sarkar, J. Parmar, G. Behera, and M. Dhawan, “Object detection and trajectory prediction using faster rcnn and kalman filter,” in Intelligent Computing Techniques and Applications, CRC Press, 2025, pp. 92–95.

1. Faculty in-charge, 3rd year Minor project, Dept. of CSE, JUET May 2025 to till date.
2. Chair, IEEE Affinity Group Chair of NIT Jaipur: July 2021 to Feb 2022
3. Coordinator, TEQIP-III coordinator of Dept. of IT, SGSITS Indore: Jan 2018 to May 2019
4. In-charge Industry Visit (SGSITS Indore): Jan 2018 to Dec 2019
5. In-charge Extracurricular Activities (SGSITS Indore): July 2018 to May 2019
6. Co-Convener, Resources & Accounts committee, AAYAAM, SGSITS Indore, 2018

1. First Price, Hindi extempore, NIT Jaipur, 2022
2. Research Scholarship , Ministry of Education Government of India, 2019

1. Assistant Professor (Senior Grade)
Department of Computer Science & Engineering
Jaypee University of Engineering and Technology, Guna
📅 May 2025 – Present

2. Assistant Professor
School of Computing Science, Engineering & Artificial Intelligence
VIT Bhopal University
📅 July 2023 – April 2025

3. Senior Research Fellow
Department of Computer Science & Engineering
Malaviya National Institute of Technology Jaipur (NIRF Rank 42)
📅 July 2019 – June 2023

4. Assistant Professor
Department of Information Technology
Shri G S Institute of Technology and Science, Indore
(Grant-in-aid Govt. of MP, Established 1952)
📅 January 2015 – May 2019

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