Joseph Helsing

• PhD (2018) University of North Texas (Computer Science & Engineering)
• MS (2013) University of North Texas (Computer Science & Engineering)
• BA (2010) Austin College (Computer Science)

• AY 2024-25 Awards Committees Member
• 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

• ACM – Association for Computing Machinery Member

Conference Proceeding

1. Alshammari, S. M.; Gwalani, H.; Helsing, J.; Mikler, A. R. (2019). Disease Spread Simulation To Assess The Risk Of Epidemics During The Global Mass Gathering Of Hajj Pilgrimage (pp. 215-226). 2019 Winter Simulation Conference (WSC).
   https://ieeexplore.ieee.org/abstract/document/9004669.
2. Helsing, J.; Gwalani, H.; Mikler, A. R.; Alshammari, S. M. (2019). Validation and Evaluation of Emergency Response Plans through Agent-Based Modeling and Simulation (pp. 239-250). 2019 Winter Simulation Conference (WSC).
   https://ieeexplore.ieee.org/abstract/document/9004775.
3. 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

1. Gwalani, B.; Malakar2, A.; Martin, A.; Ishrak, F.; Yu, A.; Pole, M.; Darsell, J.; Wang, T.; Helsing, J.; Thornton, J.; Lastovich, M.; Kovarik, L.; Grant, G.; Tracy, J.; Thuo, M.; Efe, M. (2025). In-Situ Thermo-Mechano-Chemical Transformation and Consolidation of Sm-Co Powders via a Single-Step Route for Bulk Magnet Fabrication. Nature Communications (1 ed., vol. 16, pp. 7524). New York City/New York: Nature Portfolio.
   https://pubmed.ncbi.nlm.nih.gov/40804238/.
2. 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/.