Our research objective is to discover new principles, methods, and tools for the design of engineered systems. Trends are toward systems with increased functionality, more components, and a tighter integration of physical and computer-based elements. Designers are under great pressure to design systems in minimal time despite rapidly rising design complexity. Advances in systems design can have a broad impact on society by helping designers find better solutions to their problems. This will lead to systems having enhanced performance, higher efficiency, lower environmental impact, etc. In essence, we aim to bring about better-engineered systems through improved systems design methodology.
Our lab focuses on quantitative methods for systems design, with an emphasis on rigorous foundations and unlocking value through the formalization of reusable design knowledge.
- Ph.D. in Mechanical Engineering, Georgia Institute of Technology - (Atlanta, Georgia, United States) 2008
- M.S. in Mechanical Engineering, Georgia Institute of Technology - (Atlanta, Georgia, United States) 2005
- M.S. in Electrical and Computer Engineering, Carnegie Mellon University - (Adelaide, South Australia, Australia) 2000
- B.E. in Electrical and Computer Engineering, Stony Brook University - (Stony Brook, New York, United States) 1998
- Eliseeva, O. V., Kirk, T., Samimi, P., Malak, R., Arroyave, R., Elwany, A., & Karaman, I. (2019). Functionally Graded Materials through robotics-inspired path planning. Materials & Design. 182, 107975-107975.
- Arroyave, R., Shields, S., Chang, C., Fowler, D., Malak, R., & Allaire, D. (2018). Interdisciplinary Research on Designing Engineering Material Systems: Results from a National Science Foundation Workshop. Journal of Mechanical Design, Transactions of the ASME. 140(11), 110801-110801.
- Kirk, T., Galvan, E., Malak, R., & Arroyave, R. (2018). Computational design of gradient paths in additively manufactured functionally graded materials. Journal of Mechanical Design, Transactions of the ASME. 140(11),
- Abu-Odeh, A., Galvan, E., Kirk, T., Mao, H., Chen, Q., Mason, P., Malak, R., & ArrÃ³yave, R. (2018). Efficient exploration of the High Entropy Alloy composition-phase space. ACTA MATERIALIA. 152, 41-57.
- Galvan, E., Malak, R. J., Hartl, D. J., & Baur, J. W. (2018). Performance assessment of a multi-objective parametric optimization algorithm with application to a multi-physical engineering system. Structural and Multidisciplinary Optimization. 1-21.
- Vermillion, S. D., & Malak, R. J. (2017). A game theoretical perspective on incentivizing collaboration in system design. Disciplinary Convergence in Systems Engineering Research. (pp. 845-855).
- Vermillion, S. D., & Malak, R. J. (2018). A theoretical look at the impact of incentives on design problem effort provision. 7,
- Kirk, T., Malak, R., & Arroyave, R. (2018). Applying path planning to the design of additively manufactured functionally graded materials. 2B-2018,
- Hur, D. Y., Hernandez, E. P., Galvan, E., Hartl, D., & Malak, R. (2017). Design optimization of folding solar powered autonomous underwater vehicles using origami architecture. 5B-2017,
- Wood, L. J., Rendon, J., Malak, R. J., Hartl, D., & ASME, .. (2016). AN ORIGAMI-INSPIRED, SMA ACTUATED LIFTING STRUCTURE. 5B-2016,
- Hernandez, E., Hartl, D. J., Jr, M., Lagoudas, D. C., & ASME, .. (2016). ANALYSIS AND OPTIMIZATION OF A SHAPE MEMORY ALLOY-BASED SELF-FOLDING SHEET CONSIDERING MATERIAL UNCERTAINTIES. PROCEEDINGS OF THE ASME CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS, 2014, VOL 1. 1,
Institutional Repository Documents1
- Abu-Odeh, A., Galvan, E., Kirk, T., Mao, H., Chen, Q., Mason, P., Malak, R., & ArrÃ³yave, R. (2017). Exploration of the High Entropy Alloy Space as a Constraint Satisfaction Problem.
- Galvan, Edgar (2016-12). Parametric Optimization: Applications in Systems Design. (Doctoral Dissertation)
- Vermillion, Sean Douglas (2016-12). Foundations for Value-Driven Delegated Design with Human Decision Makers. (Doctoral Dissertation)
- Price, Robert Matthew (2016-08). A Capability-based Framework for Applying Value-driven Design to Systems with Multiple Value-producing Scenarios. (Master's Thesis)
- Halbert, Tyler Raymond (2015-08). An Improved Algorithm for Sequential Information-Gathering Decisions in Design under Uncertainty. (Master's Thesis)
- Powledge, Aaron (2015-05). Experimental Characterization and Validated Multi-Fidelity Analysis. (Master's Thesis)