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Overview


Scott

Kolodziej

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Overview


Scott

Kolodziej

Hi, I'm Scott. I like computers, science, engineering, and a lot of other things. I'm currently a Ph.D. student in the Computer Science & Engineering Department at Texas A&M University, where I'm working with Dr. Tim Davis on graph partitioning problems. I have a background in chemical engineering, and I worked as an Optimization Engineer at Shell for two years.

Q. Why the career change?

A. I have always loved computer technology, but I also enjoy science and engineering. Chemical engineering is a great mix of my interests, but as I pushed for better software and algorithmic solutions, I was often referred to the computer scientists and software engineers. So instead of swimming upstream any longer, I decided to head back to school.

Q. How do you pronounce your last name?

A. koh-LOH-jay. It's Polish for Wheelwright. In proper Polish, it's spelled Kołodziej, and pronounced koh-WOH-jay. If you pronounce the dz like a j, it's not as big of a stretch as it first looks.

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Education


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Education


Education

2015 - 2018 expected

Texas A&M University, College Station, Texas

Doctor of Philosophy in Computer Science

Advised by Dr. Timothy Davis


2010 - 2012

Carnegie Mellon University, Pittsburgh, Pennsylvania

Master of Science in Chemical Engineering

Advised by Dr. Ignacio Grossmann

Developed a method for solving time-dependent blending problems common to the process industries 100x faster than previous methods.


2006 - 2010

Texas A&M University, College Station, Texas

Bachelor of Science in Chemical Engineering, magna cum laude

Mastered the fundamentals of chemical engineering. Sought out research projects in numerical optimization, carbon capture, and biofuels.

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Industry Experience


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Industry Experience


Industry Experience

2012 - 2014

Shell, Houston, TX

Optimization Engineer in the Process Automation, Control, and Optimization (PACO) group

While at Shell, I worked in dynamic process simulation. We answered questions and troubleshot problems that couldn't be addressed using steady-state simulation. I contributed to projects involving process safety, energy efficiency, and multi-phase flow.

I also managed reliability, availability, and maintainability (RAM) studies. We used Monte Carlo simulations to estimate the expected downtime of projects, as well as to help inform project decision-making.

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Projects


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Projects


Projects

2015 - Present

Optimization Approaches to Graph Partitioning

For my doctoral research, I'm developing a highly efficient graph partitioning library using continuous and discrete optimization techniques.

Parallel processing of graphs and finite element meshes, sparse matrix orderings, and VLSI chip layouts all use graph partitioning in some form or another.

I've gained a lot of experience using static analysis tools, code coverage, Doxygen, and Git to better engineer the codebase, which is a mix of C and C++ with a MATLAB interface.

GitHub link coming soon!


2015 - Present

SuiteSparse Matrix Collection Web Application

This project started as a team project for the Software Engineering course. We built a Ruby on Rails makeover of a previous website that allows you to browse Dr. Tim Davis's SuiteSparse Matrix Collection, a collection of almost 3000 sparse matrices cataloged by size, sparsity, and other properties.

You can browse the source code on GitHub. If you want to see it in action, we're in the process of deploying it on a department server, but you can preview it on Heroku.


2011 - 2012

Multiperiod Blending Problem

As a graduate student at Carnegie Mellon University, I developed a better method to solve a class of time-dependent blending optimization problems common to the process industries. Applying this approach led to more than 100x improvement in performance.

Kolodziej, S., Castro, P.M. & Grossmann, I.E. Global optimization of bilinear programs with a multiparametric disaggregation technique. J Glob Optim (2013) 57: 1039. http://dx.doi.org/10.1007/s10898-012-0022-1

Scott P. Kolodziej, Ignacio E. Grossmann, Kevin C. Furman, Nicolas W. Sawaya. A discretization-based approach for the optimization of the multiperiod blend scheduling problem. Computers & Chemical Engineering (2013) 53, 122-142. http://dx.doi.org/10.1016/j.compchemeng.2013.01.016

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Leadership


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Leadership


Leadership

2015 - 2016

CSEGSA President

As President of the Computer Science and Engineering Graduate Student Association, I worked with my team of officers to improve the culture of the Computer Science and Engineering department.

We launched a new biweekly social in the department and invited the faculty to it, and it's been so successful that the department agreed to double the CSEGSA budget.

We also conducted a graduate student climate survey, created a volunteer pool to help out in the department, launched a new website, and held a town hall to better understand the concerns of the graduate student body.


2014

Shell PACO Group HSSE Focal Point

During my time at Shell, I was the Health, Safety, Security, and Environment (HSSE) Focal Point for my group of ~50 engineers. I coordinated HSSE-related programs, such as our HSSE incident reporting database.


2010 - 2012

Carnegie Mellon University AIChE Graduate Advisor

As a graduate student at CMU, I joined the American Institute of Chemical Engineers (AIChE) student chapter there. I encouraged their leadership team to have more industry speakers, and helped them procure industry contacts from the faculty.

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Awards and Honors


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Awards and Honors


Awards and Honors

Summer 2016

GPSC Summer Travel Grant, Graduate & Professional Student Council, Texas A&M University

Received grant to attend the Neuromorphic Computing Workshop at Oak Ridge National Laboratory in Oak Ridge, Tennessee.


Spring 2016

Department Travel Grant, Computer Science & Engineering Department, Texas A&M University

Applied for and received $1,000 grant to attend the SIAM Parallel Processing 2016 conference in Paris, France.


March 2016

Graduate Leadership Excellence Award, Computer Science & Engineering Department, Texas A&M University

Awarded for excellence in leading the Computer Science & Engineering Graduate Student Association (CSEGSA) and introducing biweekly graduate student socials.


Vantage Award, Shell PACO Group, Houston, TX

Contributed to streamlining the PACO Group Shell Graduate Program.

May 2014