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