NPS Logo GSOIS Header
The Naval Postgraduate School's Operations Research Department offers M.S. and Ph.D. degrees. The department is without peer in integrating military applications of operations research into graduate education. 
Professional History
Thesis Supervision
Risk-Adaptive Learning

Operations Research Department
Naval Postgraduate School
Monterey, CA 93943

Glasgow Hall 212
(831) 656-2578
DSN: 756-2578
Fax: (831) 656-2595


Professor of Operations Research
Ph.D., University of California at Berkeley, 2002

Dr. Johannes O. Royset is Professor of Operations Research at the Naval Postgraduate School. Dr. Royset's research focuses on formulating and solving stochastic and deterministic optimization problems arising in data analytics, sensor management, and reliability engineering. He was awarded a National Research Council postdoctoral fellowship in 2003, a Young Investigator Award from the Air Force Office of Scientific Research in 2007, and the Barchi Prize as well as the MOR Journal Award from the Military Operations Research Society in 2009. He received the Carl E. and Jessie W. Menneken Faculty Award for Excellence in Scientific Research in 2010 and the Goodeve Medal from the Operational Research Society in 2019. Dr. Royset was a plenary speaker at the International Conference on Stochastic Programming in 2016 and at the SIAM Conference on Uncertainty Quantification in 2018. He has a Doctor of Philosophy degree from the University of California at Berkeley (2002). Dr. Royset has been an associate or guest editor of SIAM Journal on Optimization, Operations Research, Mathematical Programming, Journal of Optimization Theory and Applications, Naval Research Logistics, Journal of Convex Analysis, Set-Valued and Variational Analysis, and Computational Optimization and Applications.


Taking the guesswork out of designing extremely complex military systems

Teaching Interests

  • Nonlinear programming
  • Linear programming
  • Operations Management


Dr. Royset is the co-inventor of epi-splines, a functional approximation tool with wide applications in data fitting and forecasting, and of superquantile regression, second-order superquantile risk, and buffered probability. He is committed to develop the next generation of data and decision analytics, both at the theoretical and the practical level.

  • Optimization: Theory and Applications
  • Stochastic Optimization
  • Statistical Estimation
  • Data analysis
  • Sensor management
  • Reliability engineering
  • Precision Adjustment in Complex Optimization Models


Dr. Royset is the co-organizer for the Bay Area Optimization Meeting (BayOpt).

2019 (UC Santa Cruz) -- See the Program here; see this page for presentations.
2018 (Stanford) -- Presentations for the 2018 meeting are available here; see this page for programs.
2017 (UC Davis) -- See program information, speaker lists and abstracts for the 2017 meeting.
2016 (UC Berkeley) -- Recordings of presentations at the 2016 meeting are available here; see also the program and abstracts.
2015 (UC Berkeley)



Material contained herein is made available for the purpose of peer review and discussion and does not necessarily reflect the views of the Department of the Navy or the Department of Defense.

Operations Research Home Page | NPS Home Page | Disclaimer
GSOIS Webmaster |  Contact NPS Webmaster