- Status: Ph.D. Pre-Candidate
- Advisors: Jesse Austin-Breneman, Jose Uribe
- Description of Research: I study the effects of design processes and team dynamics on the
performance of large-scale complex and engineering systems through quantitative (agent-based
modeling, evolutionary game theory, Monte Carlo simulations, network theory) and qualitative methods
(semi-structured interviews, surveys, grounded theory, ethnography). My current work focuses on
parameter estimation methods and their effects on automotive system performance.
- Keywords: systems engineering, design optimization, system performance, system modeling, sociology,
network theory, semi-structured interviews, parameter estimation
- Research Disciplines: System Design & Optimization, Sociology of Organizations
- Awards: Rackham Merit Fellowship (2015- PRESENT)
- Funding: General Motor
Meluso, J., & Austin-Breneman, J. (2017). Gaming the System: An Agent-Based Model of Estimation Strategies and Their Effects on System Performance. In ASME 2017 International Design Engineering
Technical Conferences & Computers and Information in Engineering Conference (pp. 1–10).
Meluso, J. A., Crough, R., & Francisco, K. (2016). Application of Design Ethnography to Identify the Database as a Mechanism of Effective Communication in Systems Engineering. fPET 2016 Conference
Evans, R., & Meluso, J. A. (2013). Exploring the how of engineering competence: Using service-learning projects in an engineering communications course to facilitate the professional practice of undergraduate engineering students. ICEE/ICIT-2013 Conference Proceedings