Presenting in ASA sectional meeting

PhD Candidate (Major in Statistics)
Dept. of Mathematics, University of Mississippi
Hume Hall 208
(662) 380-4564 | mhasan4@olemiss.edu

I am a Ph.D. candidate (Major in Statistics) expecting graduation in May 2024 at the Dept. of Mathematics, University of Mississippi. I am looking for a postdoc position/faculty position to start my career in Teaching and research. My research interests are Machine learning \Statistical Learning: GAN model, Reinforcement learning, optimization, and neural networks. Besides, I like to work in Bayesian statistics, time series analysis, and Big data.

Education: 

• Ph.D. in Mathematics (Concentration in Statistics), University of Mississippi, USA.   Expected Graduation date: May 2024.

   Dissertation: Error analysis and convergence rates of f-divergence for generative adversarial networks (GANs).  Advisor: Dr. Hailin Sang. 

• M.S. in Mathematics (Major in Statistics), University of Mississippi, USA. Graduation date: May 2022.

•  M.S. in Mathematics, Jahangirnagar University, Dhaka, Bangladesh. Graduation date: May 2014.

      Thesis: New algorithmic approach to design layout in facility layout planning problems.  Advisor: Dr. Md Sharif Uddin. 

• B.S. in Mathematics, Jahangirnagar University, Dhaka, Bangladesh. Graduation date: May 2012. 

Research Interest: 

• Machine Learning /Statistical Learning: GAN model, Optimization, Deep learning, Neural network. 

•  Statistical consulting, Bayesian statistics, Time series, and Big Data.

Teaching Experience:

•  Graduate Teaching Assistant,   August 2019-Present,       Dept. of Mathematics,    University of Mississippi ,USA 

• Lecturer,  January 2015 - August 2019, BRAC University, Dept. of Mathematics & Natural Sciences (MNS) Dhaka, Bangladesh 

Research Experience:

• Research Fellow,  March-October, 2018, ICE Lab, Dept. of Computer Science and Engineering, Polytechnic di Torino, Italy 

              Projects: Bi-level Optimization. Advisor: Dr. Guido Perboli. 

Research Internship:

 Health data Research Assistant, Summer, 2023, Center for Pharmaceutical Marketing and Management (CPMM), University of Mississippi. USA 

    Projects:  1. Data scaling analysis for Poisson and gamma generalized linear model

                              2.  Geographically weighted regression model with spatial point data.

                                   Advisor: Dr. Bentley & Dr. K. Bhattacharya. 

Summer school reserach and Training

Big Data Summer School, IBM Research Institute, Almaden July 9-22, 2023 

Course studied: Matrix and Tensor algebra computation and sketching techniques by MATLAB. 

Instructor: Dr. Clarkson, Dr. Horesh, Dr. Ubaru, (IBM), Dr. Misha Kilmer (Tufts University), Dr. Tamara Kolda (MathSci.ai). 

Funded by Simons Laufer Mathematical Sciences Institute .

Machine Learning Theory Summer School, Princeton University June 25-30, 2023

 Course studied: Statistical mechanics of deep learning dynamics, Wasserstein gradient flows for sampling and estimation, Exact analysis of deep learning in high-dimensions, Regimes of training in DDNs: Neural Tangent Kernel, Feature Learning, and Sparsity, Dynamical mean-field theory and the replica method.

 Instructor: Dr. Pehlevan (Harvard), Dr. Rigollet (MIT), Dr. Pennington, and Dr. Adlam (Google Brain), Arthur Jacot (NYU)

 Funded by NSF & Princeton University (ORFE). 

Summer School in Bio-statistics, University of Washington June 25-30, 2022 

Course studied: Statistical genetics, Bayesian Statistics and Multi-variable statistics for genetics using R. 

Instructor: Dr. Bruce Weir, Dr. Ken Rice (UW).

Funded by NSF, Regeneron & GSK Pharmaceuticals.