SANDIP BARUI

SANDIP BARUI

Assistant Professor (Grade I)
Quantitative Methods and Operations Management Area

+91-495 2809684

sandipbarui[at]iimk[dot]ac[dot]in

  • Ph.D. in Statistics, McMaster University, Hamilton, Ontario, Canada 
  • M.Sc. in Applied Statistics and Informatics, IIT Bombay, Mumbai, India
  • B.Sc. in Statistics, RKMRC Narendrapur, University of Calcutta, Kolkata, India

Teaching


As an Assistant Professor, University of South Alabama: Non-parametric Statistical Methods, Applied Regression Analysis, Applied Probability and Statistics for Engineers, Applied Statistics in Health Sciences, Statistical Reasoning and Application

As a sessional faculty, University of Waterloo: Mathematical Statistics

As a sessional faculty, McMaster University: Probability and Statistics for Engineers

Conferences, Seminars & Talks


Dept. Seminar: Semiparametric Methods for Survival Data with Measurement Error under Additive Hazards Cure Rate Models, School of Public Health, Louisiana State University, New Orleans, LA, Mar 08, 2020

Workshop: Title: Application of Statistics in Machine Learning Organized by: Process Metallurgy Research Labs (PMRL), University of Toronto Conducted sessions on statistical learning and machine learning methods Department of Materials Science and Engineering, Toronto, ON, Canada, Nov 26 - 29, 2019

Dept. Seminar: Semiparametric Methods for Survival Data with Measurement Error under Additive Hazards Cure Rate Models Departmental Seminar at Mathematics and Statistics, University of South Alabama, Mobile, AL, Oct 25, 2019

Invited Session: Role and Application of Statistics in Cancer Research at Mitchell Cancer Institute, Mobile, AL, Oct 9, 2019

Workshop: Title: Broadening Participation: 2019 MPS Workshop for New Investigators Organized by: University of Florida in collaboration with the National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (MPS) NSF Head Quarters, Alexandria, VA, USA, Sep 8 - 10, 2019

Understanding Dephosphorization in Basic Oxygen Furnaces (BOFs) From a Data Science Perspective International STEELSIM Conference, Toronto, ON, Canada, Aug 13-15, 2019

Analysis of some Destructive Cure Rate Models under Proportional Hazard and Associated Inference Statistics seminar series, Dept. of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada, Nov 29, 2016

Proportional Hazards Under COM-Poisson Cure Rate Model and Associated Inference 8 of 8 Ordered Data and their Applications in Reliability and Survival Analysis, McMaster University, Hamilton, ON, Canada, Aug 07-10, 2016

Proportional Hazards Under COM-Poisson Cure Rate Model and Associated Inference International Workshop on Applied Probability, Toronto, ON, Canada, Jun 20-23, 2016

Proportional Hazards Under COM-Poisson Cure Rate Model with parametric and non-parametric baseline hazard Statistics seminar series at Dept. of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada, March 29, 2016

Academic Positions


Assistant Professor, Dept. of Mathematics and Statistics, University of South Alabama, USA Aug 2018 - Aug 2020

Visiting Professor, Dept. of Materials Science and Engineering, University of Toronto, Canada, May - Aug 2019

Post-doctoral Researcher, Dept. of Statistics and Actuarial Science, University of Waterloo, Canada, Aug 2017 - Jul 2018

Sessional Faculty, Dept. of Statistics and Actuarial Science, University of Waterloo, Canada, May - Jul 2018

Sessional Faculty, Dept. of Mathematics and Statistics, McMaster University, Canada, May - Jul 2017

Significant Publications


Barui, S., & Grace, Y. Y. (2019). Semiparametric methods for survival data with measurement error under additive hazards cure rate models. Lifetime Data Analysis, 1-30

Phull, J., Arguello, J., Barui, S., Mukherjee, S., & Chattopadhyay, K. (2019). Application of decision tree based twin support vector machines to classify dephosphorization in BOF steelmaking. Metals, 10(1), 25.

Barui, S., Mukherjee, S., Srivastava, A., & Chattopadhyay, K. (2019). Understanding dephosphorization in Basic Oxygen Furnaces (BOFs) using data driven modeling techniques. Metals, 9(9), 955.

Balakrishnan, N., Barui, S., & Milienos, F. S. (2017). Proportional hazards under Conway-Maxwell Poisson cure rate model and associated inference. Statistical Methods in Medical Research, 26(5), 2055-2077.

Rochow, N., Fusch, G., Zapanta, B., Ali, A., Barui, S., & Fusch, C. (2015). Target fortification of breast milk: how often should milk analysis be done?. Nutrients, 7(4), 2297-2310.

Conference Proceedings: Barui, S., Mukherjee, S., & Chattopadhyay, K. (2019). Data driven simulations for predicting phosphorus partition in BOF steelmaking. International STEELSIM Conference Aug. 13-15, Toronto, Canada

Conference Proceedings: Mukherjee, S., Barui, S., & Chattopadhyay, K. (2020). New Approach to Classify Phosphorus Partition in BOF Steelmaking Using PCA-Based Twin Support Vector Machines, January 2020, AISTech 2020

Conference Proceedings: Egas, J., Chattopadhyay, K., Barui, S., Mukherjee, S., & Phull, J. (2020). Application of Decision Tree-Based Twin Support Vector Machines to Classify Dephosphorization in BOF Steelmaking, January 2020, AISTech 2020

Glocal Regulatory Business Compliance on Data Protection Law: Comparative Analysis / Note on Global and Indian Law , Working Paper, 2022

Research Areas


Survival Analysis and Reliability - Cure Rate Models and Frailty Models

Application of machine learning in steel manufacturing

Inference on synthetic data

Indian Institute of Management Kozhikode

IIMK Campus P. O, Kozhikode, Kerala, India,
PIN - 673 570

Phone
+91-495-2809100
Fax
+91-495-2803010-11

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