Trevor Olsen
(Ph.D.)2
Columbia, SC
tvolsenmath@gmail.com
Sections
Keywords
Graph Theory
Robotics
Probability
Data Science
Machine Learning
Deep Learning
Programming Experience
Python
Scikit-learn
Matplotlib
Pandas
Numpy
SageMath
XGBoost
PyTorch (in progress)
SQL
C++
...
About Me
Seeking Employment in Data Science / Machine Learning
Knowledgeable graduate looking to utilize and develop existing skill set in a Data Science or Machine Learning position. Respected leader with years of teaching experience at numerous levels. Proven problem solving abilities displayed by an extensive research track record. Highly motivated, concurrently pursued two doctoral degrees
Ph.D. in Computer Science
August 2018 - December 2021
I completed my Ph.D. at the University of South Carolina in the Department of Computer Science and Engineering. Jason O'Kane advised me in discovering more about Visibility-Based Multi-Robot Pursuit-Evasion problems, including innovative sampling ideas and robustness.
Ph.D. in Mathematics
August 2016 - May 2020
I earned a Ph.D. from the University of South Carolina in the Department of Mathematics. Éva Czabarka and László Székely co-advised me in exploring graph invariants in triangulations and quadrangulations of the sphere.
Other Education
August 2009 - May 2015
- M.S. Computer Science (2021) - University of South Carolina
- M.A. Mathematics (2015) - University of Miami
- B.S. Computer Science and Mathematics (2013) - Palm Beach Atlantic University
- Associate of Arts (2011) - Inver Hills Community College
Publications and Preprints
Computer Science
- Robust-by-Design Plans for Multi-Robot Pursuit-Evasion (accepted, ICRA 2022)
- Rapid Recovery from Robot Failures in Multi-Robot Visibility-Based Pursuit-Evasion (accepted, IROS 2021)
- A Visibility Roadmap Sampling Approach for a Multi-Robot Visibility-Based Pursuit-Evasion Problem (accepted, ICRA 2021)
Mathematics (Authors are typically ordered alphabetically)
- Minimum Wiener Index of Triangulations and Quadrangulations (submitted)
- Proximity in Triangulations and Quadrangulations (accepted, Electronic Journal of Graph Theory and Applications)
- Wiener Index and Remoteness in Triangulations and Quadrangulations (accepted, Discrete Mathematics & Theoretical Computer Science)
Miscellaneous
- Clinical Characteristics of Suspected COVID-19 in Pediatric Patients (accepted, International Journal of Critical Care and Emergency Medicine)
In Preparation
- Increasing Nicotine Dependence Treatment Encounters Through Nursing Education
- Sampling in Multi-Robot Pursuit Evasion
- Robustness in Multi-Robot Pursuit Evasion
- Minimum Complexity in Triangulations and Quadrangulations
Past Teaching
| Term | Class | Institution | Evaluation |
|---|---|---|---|
| Fall 2020 | CSCE 750 Analysis of Algorithms (TA) | U of SC | N/A |
| Fall 2020 | CSCE 350 Data Structures and Algorithms (TA) | U of SC | N/A |
| Spring 2020 | MATH 170 Finite Mathematics | U of SC | 4.46/5 |
| Fall 2019 | MATH 122 Business Calculus | U of SC | 4.56/5 |
| Summer 2019 | MATH 142 Calculus II | U of SC | 4.55/5 |
| Spring 2019 | MATH 122 Business Calculus | U of SC | 4.45/5 |
| Fall 2018 | MATH 141 Calculus I (TA) | U of SC | 4.86/5 |
| Fall 2018 | MATH 141 Calculus I (TA) | U of SC | 5/5 |
| Summer 2018 | MATH 241 Vector Calculus | U of SC | 4.86/5 |
| Spring 2018 | MATH 122 Business Calculus | U of SC | 4.64/5 |
| Fall 2017 | MATH 111i Intensive Basic College Math | U of SC | 4.79/5 |
| Summer 2017 | MATH 142 Calculus II | U of SC | 5/5 |
| Spring 2017 | MATH 142 Calculus II (TA) | U of SC | 4.93/5 |
| Spring 2017 | MATH 142 Calculus II (TA) | U of SC | 5/5 |
| Spring 2017 | MATH 142 Calculus II (TA) | U of SC | 4.75/5 |
| Spring 2017 | MATH 142 Calculus II (TA) | U of SC | 4.84/5 |
| Fall 2016 | MATH 142 Calculus II (TA) | U of SC | 4.82/5 |
| Fall 2016 | MATH 142 Calculus II (TA) | U of SC | 4.44/5 |
| Summer 2016 | MAC 1114 Trigonometry | MDC | 4.89/5 |
| Spring 2016 | MAC 1105 College Algebra | MDC | 4.89/5 |
| Spring 2016 | MAC 1114 Trigonometry | MDC | 4.89/5 |
| Fall 2015 | MAC 1105 College Algebra | MDC | 4.89/5 |
| Fall 2015 | MAC 0057 Developmental Mathematics III | MDC | 4.87/5 |
| Fall 2015 | MGF 1107 Math for Liberal Arts II | MDC | 4.97/5 |
| Summer 2015 | MAC 1147 Precalculus | MDC | 4.95/5 |
| Fall 2015 | MAC 2312 Calculus II | MDC | 4.85/5 |
Helpful Resources
Python Programming
- 100 Days of Code: The Complete Python Pro Bootcamp for 2022 teaches Python from the ground up and covers a lot of interesting concepts in an easy to follow format.
- OnlineGDB allows you to run Python code without any installation.
- Advent of Code provides programming challenges with some personality.
- Project Euler challenges both your programming and mathematical abilities.
- LeetCode contains a massive amount of exercises closely related to technical coding interviews.
Data Science and Machine Learning
- Complete Machine Learning & Data Science Bootcamp 2022 teaches essential data science and machine learning skills in a repitious way that makes the lessons stick. The authors have a PyTorch course coming out soon.
- Kaggle has thousands of datasets as well as forums and posted solutions. This can be utilized for nearly every type of data science project.
- Stat Quest presents a wide range of topics in an enjoyable and understandable way.
- The Hundred-Page Machine Learning Book concisely covers a lot of essential topics in machine learning.