What we do:

We are a group of researchers in the Grado Department of Industrial and Systems Engineering at Virginia Tech, studying how people, technology, and organizations interact to optimize the performance of complex systems. We use a combination of quantitative and qualitative methods from industrial and systems engineering, computer science, and organizational studies to understand how social and technical factors impact the design, deployment, and management of technology-intensive systems, such as transportation systems and healthcare systems. Our goal is to design systems that are safer, more effective, and more efficient.

News

Featured Publications

Hashemian, S. Mohammad, and Konstantinos Triantis
Production pressure and its relationship to safety: A systematic review and future directions
Safety Science, 159: 106045.
2023

Bian, R., P. Murray-Tuite, J.E. Trainor, P. Edara, and K. Triantis
Sequentially Modeling Household Accommodation, Destination, and Departure Time Choices,
International Journal of Mass Emergencies and Disasters. Accepted.
2022

Zervopoulos, P., Triantis, K., Sklavos, S., and Kanas, A.
A Bayesian data envelopment analysis approach for correcting bias of efficiency estimators: Evidence from the EU banking sector,
Journal of Operational Research Society (JORS)
2022

Opportunities

Collaboration

The interdisciplinary nature of research at SPL Lab has led to developing a number of professional networks that contribute to a growing research portfolio and opportunities for funded research. We always welcome collaboration with field experts and researchers.

New job opening

The System Performance Laboratory (SPL) is seeking a qualified postdoctoral associate to support our NSF LEAP HI grant as well other research, teaching and, mentoring activities associated with SPL. The candidates should be comfortable with and willing to invest in and conduct interdisciplinary research. Relevant domains include: socio-technical systems, safety science, systems engineering, data analytics, organizational science, decision science, complexity science, human factors engineering, and enterprise performance measurement.

If interested, please contact Prof. Triantis at triantis@vt.edu.