CHAKRABORTY Tanujit

University Professor - Hospital Practitioner
[email protected]
www.ctanujit.org
Department of Sciences and Engineering, Sorbonne University Abu Dhabi

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Health, Medicine & Biology
Mathematics, Computer Science & Robotics
Skills
Decision-Making, Deep learning, Machine learning, Mathematical models, Pattern recognition, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

Researcher and Advisor

Awards

  1. Recipient of Mphasis Research Grant in Cognitive Computing (May, 2021 - April, 2024).
  2. Best Paper Award Winner at ACM International Conference on Data Sciences and Management of Data (CODS-COMAD) in Jan, 2021.
  3. Best Student Paper Award (Application Category) at 52nd Annual Convention of ORSI & International Conference held at IIM Ahmedabad in December 2019.
  4. B.G. Raghavendra Memorial Award for Best Paper (Application Category) from Operational Research Society of India (ORSI) in December 2017.
  5. Junior & Senior Research Fellowship Award from Indian Statistical Institute, Kolkata from July 2016 to November 2020. 

Selected publications

  1. Ray, A., Chakraborty, T., & Ghosh, D. (2021). Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events​. Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 31, pg. 1-15.​
  2. Chakraborty, T., Ghosh, I. (2020). Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis. Chaos, Solitons & Fractals, Vol. 135, pg. 1-10.
  3. Chakraborty, T., Chakraborty, A. K. (2020). Hellinger Net : A Hybrid Imbalance Learning Model to Improve Software Defect Prediction. IEEE Transactions on Reliability, Vol. 70, pg. 481-494.
  4. Chakraborty, T., Chakraborty, A. K., & Chattopadhyay, S. (2019). A novel distribution-free hybrid regression model for manufacturing process efficiency improvement. Journal of Computational and Applied Mathematics​, Vol. 362, pg. 130-142.
  5. Chakraborty, T., Chakraborty, A. K., & Murthy, C. A. (2019). A nonparametric ensemble binary classifier and its statistical properties. Statistics & Probability Letters, Vol. 149, pg. 16-23.

International collaborations

  • National University of Singapore, Singapore
  • University of Georgia, USA
  • University of Louisville, USA
  • Indian Statistical Institute, Kolkata
  • International Institute of Information Technology Bangalore

Industrial collaborations

  • Total Energies'
  • ITC Private Limited
  • PharmaACE LLC
  • Bajaj Finserv
  • Mphasis: Applied Technology Services and Solutions