Mrs. Chandrima Roy

Present Position: Assistant Professor

Department of Computer Science and Engineering, School of Engineering & Technology



  • D. (Pursuing) in Data Analytics from KiiT, Bhubaneswar
  • Tech in Computer Science and Engineering from KiiT, Bhubaneswar
  • Tech in Computer Science and Engineering from WBUT

Research Key Areas:

  • Data Science
  • Machine Learning
  • Big Data Analytics
  • Deep Learning
  • Information Retrieval

Research Highlights:

  • Developed an Intelligent Recommendation System for Mitigating Cold Start Problem
  • Developing a Cross Domain Recommendation System
  • Most notable publication are in Springer Nature and IEEE Explore.
  • Citations: 67+, h-index : 06, i10-index : 02


  • Assistant Professor, Adamas University, India, 2022-
  • Computer Faculty in International Baccalaureate Program in KiiT International School

Research Publication (s):

  • Number of research papers published in International refereed journals: 2
  • Number of research papers published in international peer-reviewed Scopus Proceedings: 9
  • Number of Book-Chapters: 3

Selected Publication (s):

  1. Roy, Chandrima, Siddharth Swarup Rautaray, and Manjusha Pandey. “Big Data Optimization Techniques: A Survey.” International Journal of Information Engineering & Electronic Business 10.4 (2018).
  2. Das, Nivedita, et al. “Smart Waste Bin Using AI, Big Data Analytics and IoT.” IoT-Based Smart Waste Management for Environmental Sustainability. CRC Press, 2022. 37-62.
  3. Roy, Chandrima, Manjusha Pandey, and Siddharth Swarup Rautaray. “A proposal for optimization of horizontal scaling in big data environment.” Advances in data and information sciences. Springer, Singapore, 2018. 223-230.
  4. Roy, Chandrima, et al. “Prediction of factors associated with the dropout rates of primary to high school students in India using data mining tools.” Frontiers in Intelligent Computing: Theory and Applications. Springer, Singapore, 2020. 242-251.
  5. Roy, Chandrima, et al. “GeoCloud4E
  6. duNet: Geospatial Cloud Computing Model for Visualization and Analysis of Educational Information Network.” Innovations in Computational Intelligence and Computer Vision. Springer, Singapore, 2022. 9-17.
  7. Roy, Chandrima et al. “Analyzing student performance in engineering placement using data mining.” Proceedings of International Conference on Computational Intelligence and Data Engineering. Springer, Singapore, 2019.
  8. Roy, Chandrima et al. (2019). Horizontal Scaling Enhancement for Optimized Big Data Processing. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 755. Springer, Singapore.
  9. Roy, Chandrima, and Siddharth Swarup Rautaray. “Challenges and issues of recommender system for big data applications.” Trends of Data Science and Applications (2021): 327-341.
  10. Roy, Chandrima et al. “Analyzing student performance using data mining.” Ambient communications and computer systems. Springer, Singapore, 2019. 307-318.
  11. Roy, Chandrima, et al. “A fog computing-based IoT framework for prediction of crop disease using big data analytics.” AI, Edge and IoT-based Smart Agriculture. Academic Press, 2022. 287-300.
  12. Roy, Chandrima, Siddharth Swarup Rautray, and Manjusha Pandey. “Recommender System for Resolving the Cold Start Challenges Using Classification.” Smart Computing Techniques and Applications. Springer, Singapore, 2021. 451-460.