Academic Information
Ph.D(Pre submission)
Research Areas
Research Interests
My research interests lie in Human Resource Analytics and Medical Image Processing, focusing on the application of data-driven and intelligent systems to support decision-making in critical domains. In HR analytics, I am interested in employee attrition prediction, performance analysis, workforce optimization, and explainable AI techniques to improve transparency and fairness in organizational decisions. In medical image processing, my interests include image segmentation, classification, feature extraction, and deep learning–based diagnostic systems for disease detection. I aim to integrate machine learning and analytical frameworks to develop robust, interpretable, and impactful solutions that bridge technology with human-centric and healthcare applications.
Courses Taught
Positions Held
Publications
1. K Konar, S Das, S Das, S Misra - SN Computer Science, 2025. Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI, SN Computer Science, 2025. 2. K Konar, S Das, S Das, S Misra , Employee Attrition Prediction Using Optimized Deep Auto-Encoder and 1D Convolution Neural Network, Deep Learning Applications in Operations Research, Routledge, Page - 25-51 3. K Barik, S Misra, K Konar, L Fernandez-Sanz. Applied Artificial Intelligence Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study, Applied AI, 2023. 4. K Konar, S Das, S Das Employee Attrition Prediction for Imbalanced Data using GA-optimized XGB Classifier, ICCECE 2023, IEEE. 5. Barik, K., Misra, S., Konar, K., Fernandez-Sanz, L., & Koyuncu, M. (2022). Cybersecurity Deep: Approaches, Attacks Dataset, and Comparative Study. Applied Artificial Intelligence, 36(1). https://doi.org/10.1080/08839514.2022.2055399 6. Barik, K., Abirami, A., Konar, K., Das, S. (2022). Research Perspective on Digital Forensic Tools and Investigation Process. In: Misra, S., Arumugam, C. (eds) Illumination of Artificial Intelligence in Cybersecurity and Forensics. Lecture Notes on Data Engineering and Communications Technologies, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-030-93453-8_4 7. Barik, K., Konar, K., Banerjee, A., Das, S., Abirami, A. (2022). An Exploration of Attack Patterns and Protection Approaches Using Penetration Testing. In: Hemanth, D.J., Pelusi, D., Vuppalapati, C. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 101. Springer, Singapore. https://doi.org/10.1007/978-981-16-7610-9_36. 8. Kousik Barik, Saptarshi Das, Karabi Konar, Bipasha Chakrabarti Banik, Archita Banerjee,Exploring user requirements of network forensic tools,Global Transitions Proceedings,Volume 2, Issue 2,2021,Pages 350-354,ISSN 2666-285X,https://doi.org/10.1016/j.gltp.2021.08.043. 9. A comparative study on the application of text mining in cybersecurity K Barik, S Misra, K Konar, M Kaushik, R Ahuja Recent Advances in Computer Science and Communications 10. Barik, K., Konar, K., Banerjee, A., Das, S., Abirami, A. (2022). Analysis and Forecasting of Cybercrime Incidents in India. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-16-5987-4_70