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.
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.
National University of Singapore, Singapore
University of Georgia, USA
University of Louisville, USA
Indian Statistical Institute, Kolkata
International Institute of Information Technology Bangalore
ITC Private Limited
Mphasis: Applied Technology Services and Solutions