Joseph Helsing
Lecturer
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Electrical and Computer Engineering
Education
- PhD (2018) University of North Texas (Computer Science & Engineering)
- MS (2013) University of North Texas (Computer Science & Engineering)
- BA (2010) Austin College (Computer Science)
Research
Computational Epidemiology
Modelling and Simulation
Geographic Information Systems (GIS)
Modelling and Simulation
Geographic Information Systems (GIS)
Experience
2023 – Present
Lecturer, Department of Electrical and Computer Engineering
Stevens Institute of Technology
2020 – 2023
Assistant Professor, Department of Math and Computer Science
Muhlenberg College
2019 – 2020
Lecturer, Department of Computer Science
University of North Texas
2018 – 2019
Adjunct Faculty, Department of Computer Science
University of North Texas
2015 – 2018
Teaching Fellow, Department of Computer Science
University of North Texas
Lecturer, Department of Electrical and Computer Engineering
Stevens Institute of Technology
2020 – 2023
Assistant Professor, Department of Math and Computer Science
Muhlenberg College
2019 – 2020
Lecturer, Department of Computer Science
University of North Texas
2018 – 2019
Adjunct Faculty, Department of Computer Science
University of North Texas
2015 – 2018
Teaching Fellow, Department of Computer Science
University of North Texas
Institutional Service
- Marketing and Alumni Committee Chair
- Committee on Evaluation of Teaching Effectiveness Member
- Stevens Day of Giving Committee Member
- SES Dean’s Faculty Advisory Council Member
- ECE Graduate Committee Member
Honors and Awards
ECE Outstanding Teaching Award (AY 2023-2024)
Professional Societies
- ACM – Association for Computing Machinery Member
Selected Publications
Conference Proceeding
- Drewniak, K.; Helsing, J.; Mikler, A. R. (2014). A method for reducing the severity of epidemics by allocating vaccines according to centrality. Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 341-350). ACM.
https://doi.org/10.1145/2649387.2649409.
Journal Article
- Gwalani, H.; Helsing, J. E.; Alshammari, S. M.; Tiwari, C.; Mikler, A. (2024). A distributed algorithm for solving large-scale p-median problems using expectation maximization. PeerJ Computer Science (10:e2446 ed.). PeerJ.
https://peerj.com/articles/cs-2446/.
Courses
Stevens Institute of Technology
AAI/CPE/EE 551: Engineering Programming: Python
EE 553: Engineering Programming: C++
ENGR 116: Intro to Programming & Algorithmic Thinking
Muhlenberg College
CSI 102: Computer Science I: Introduction to Game Programming
CSI 107: Computer Science I: Computational Physics
CSI 111: Computer Science II
CSI 210: Software Engineering
CSI 220: Data Structures and Algorithms
CSI 305: Database Systems
CSI 310: Programming Languages
CSI 350: Operating Systems
University of North Texas
CSCE 1030: Computer Science I
CSCE 2100: Foundations of Computing I
CSCE 2110: Foundations of Computing II
CSCE 4010: Social Issues in Computing
CSCE 4011: Engineering Ethics
AAI/CPE/EE 551: Engineering Programming: Python
EE 553: Engineering Programming: C++
ENGR 116: Intro to Programming & Algorithmic Thinking
Muhlenberg College
CSI 102: Computer Science I: Introduction to Game Programming
CSI 107: Computer Science I: Computational Physics
CSI 111: Computer Science II
CSI 210: Software Engineering
CSI 220: Data Structures and Algorithms
CSI 305: Database Systems
CSI 310: Programming Languages
CSI 350: Operating Systems
University of North Texas
CSCE 1030: Computer Science I
CSCE 2100: Foundations of Computing I
CSCE 2110: Foundations of Computing II
CSCE 4010: Social Issues in Computing
CSCE 4011: Engineering Ethics