Avatar

Md Sarowar Morshed

Research Assistant, Mechanical and Industrial Engineering

Northeastern University

Biography

I am a fourth year graduate student in the Department of Mechanical & Industrial Engineering at Northeastern University. My research focuses on Large-Scale Optimization and their application in real world decision-making. Currently, I am working on developing Randomized Sketching algorithms for tackling large-scale Convex Optimization problems. My earlier works include developing accelerated algorithms for large-scale Linear Feasibility Problems, i.e., Acclerated SKM, Accleration & Genralization in Projection Methods, Heavy Ball Momentum SKM, Sketch & Project for Linear Feasibility, Momentum Affine Scaling, Second Order Cone Programming problems and evaluating complex logarithmic integrals/Euler sums in Analytic Number Theory. I earned my B.S. in Industrial & Production Engineering from Bangladesh University of Engineering and Technology (BUET), Bangladesh, and M.S. in Applied Mathematics from University of Central Florida (UCF), Florida, USA.

Interests

  • Mathematical Optimization
  • Operations Research
  • Stochastic Algorithms

Education

  • PhD in Industrial Engineering, 2017-

    Northeastern University

  • Masters in Mathematics, 2017

    University of Central Florida

  • BSc in Industrial & Production Engineering, 2014

    Bangladesh University of Engineering & Technology

Experience

 
 
 
 
 

Research Assistant

Northeastern University

Sep 2017 – Present Boston, MA
Responsibilities include:

  • Design bandit algorithm to address Opioid Epidemic (high dimensional)
  • Design scalable robust causal inference testing algorithm for big data
  • Designing randomized algorithms for large-scale linear optimization
  • Mentor Undergraduate and Masters Students
 
 
 
 
 

Teaching Assistant

University of Central Florida

Jan 2016 – May 2017 Orlando, FL
I worked as a graduate teaching assistant at Mathematics department
 
 
 
 
 

Math Tutor

Mathemtaics Assistance & Learning Lab (MALL), University of Central Florida

Aug 2015 – Dec 2016 Orlando, FL
I worked as a Math tutor at MALL teaching trigonometry, college algebra and pre-calculus to undergraduate students
 
 
 
 
 

Project Engineer

ILO-BGMEA-BUET Project

Oct 2014 – Jan 2015 Dhaka, Bangladesh
Inspection & submission of ‘Fire Safety Assessment’ report to International Labour Organization (ILO) about garments industries of Bangladesh.
 
 
 
 
 

Intern

Square Pharmaceuticals, Bangladesh

Aug 2011 – Sep 2011 Dhaka, Bangladesh
Development & implementation of scheduling algorithm for production process.

Recent Publications

Quickly discover relevant content by filtering publications.

Sampling Kaczmarz-Motzkin Method for Linear Feasibility Problems$:$ Generalization & Acceleration

Randomized Kaczmarz (RK), Motzkin Method (MM) and Sampling Kaczmarz Motzkin (SKM) algorithms are commonly used iterative techniques for …

Stochastic Steepest Descent Methods for Linear Systems$:$ Greedy Sampling & Momentum

Recently proposed adaptive $\textit{Sketch & Project}$ (SP) methods connect several well-known projection methods such as …

Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference

Identifying cause-effect relation among variables is a key step in the decision-making process. While causal inference requires …

Sketch & Project Methods for Linear Feasibility Problems$:$ Greedy Sampling & Momentum

We develop two greedy sampling rules for the $\textit{Sketch & Project}$ method for solving linear feasibility problems. The …

Heavy Ball Momentum Induced Sampling Kaczmarz Motzkin Methods for Linear Feasibility Problems

The recently proposed $\textit{Sampling Kaczmarz Motzkin}$ (SKM) algorithm performs well in comparison with the state-of-the-art …

Logarithmic Integrals$:$ A Review from Gradshteyn and Ryzhik to Recent Times

The need to evaluate Logarithmic integrals is ubiquitous in essentially all quantitative areas including mathematical sciences, …

Generalized Affine Scaling Algorithms for Linear Programming Problems

Interior Point Methods are widely used to solve Linear Programming problems. In this work, we present two primal Affine Scaling …

Accelerated Sampling Kaczmarz Motzkin Algorithm for Linear Feasibility Problem

The Sampling Kaczmarz Motzkin (SKM) algorithm is a generalized method for solving large-scale linear systems of inequalities. Having …

Robust Policy Evaluation from Large-Scale Observational Studies

Under the current policy decision making paradigm we make or evaluate a policy decision by intervening different socio-economic …

A Primal-Dual Interior Point Method for a novel Type-2 Second Order Cone Optimization Problem

In this paper, we define a new, special second order cone as a typek second order cone. We focus on the case of k = 2, which can be …

Awards

Ferretti & Akira Yamamura Award for Excellence in Research

Department of MIE Chairs Fellowship Award

Graduate Teaching Assistantship

Favourite Links

High Dimensional Statistics

High Dimensional Statistics usefull links.

Optimization

Optimization usefull links.

Statistical Learning Theory

Learning Theory usefull links.

Meet the Team

Researchers

Avatar

Md Sarowar Morshed

Research Assistant, Mechanical and Industrial Engineering

Mathematical Optimization, Operations Research, Stochastic Algorithms

Visitors

Avatar

Md Sarowar Morshed

Research Assistant, Mechanical and Industrial Engineering

Mathematical Optimization, Operations Research, Stochastic Algorithms

Skills

R

50%

MATLAB

90%

Python

80%

Chess

10%

Contact

  • +1 407 990 2355
  • 301 Ell Hall, Northeastern University, Boston, MA, 02115, United States

Demos

Welcome to the personal demo of Academic. Other demos available include:

Over 100,000 Amazing Websites have Already Been Built with Academic

Join the Most Empowered Hugo Community

This homepage section is an example of adding elements to the Blank widget.

Backgrounds can be applied to any section. Here, the background option is set give an image parallax effect.

Academic

The Best Way to Create the Website You Want from Markdown (or Jupyter/RStudio)

Build Anything with Widgets

Star

Get Started View Documentation

Latest release