At institute of operations research and analytics,We leverage and mobilize NUS’ existing strengths in various diverse discipline to create integrated capabilities in modelling and computation.
The goal of our research program is to conduct cutting-edge basic and applied research on the optimization,analysis and management of the service systems include model formulation, algorithm design, analysis of the service strategies and software development.
To develop and advance the fundamental knowledge in the field of OR and Analytics and use these tools to improve our understanding and management of the three classes of important service systems which includes all important pillars every aspect of the singapore economy.
Our new multi-disciplinary academic program that focuses on the development of new foundations and methods to address these complex societal and business problems, using Operations Research and Analytical tools.
IORA will be organizing a bi-weekly seminar series from 8th Sept 2017 onwards to 24th Nov 2017 for faculty members and students/RFs to get to know each other’s work better and to foster potential collaborations.
Click here for the abstract details
Sampling Methods that Learn to Optimize (Introduction to Thompson sampling)
There will be an upcoming workshop on the conducted by Prof Benjam Van Roy which offers an introduction to Thompson sampling, a concept that has become widely used over recent years as a foundation for such learning problems
Click here to view the description of the workshop programme and bio of the speaker
The 2017 Farkas Prize of the INFORMS Optimization Society is awarded to Prof Toh, Provost Chair, Department of Mathematics and as Research Director of Institute of Operations Research and Analytics, National University of Singapore, for his fundamental contributions to the theory, practice, and application of convex optimization, especially semidefinite programming and conic programming.
Prof Toh is among the world's leading figures in semidefinite programming, an important part of optimization since the early 1990s. His research collaboration with Michael Todd and Reha Tutuncu on interior-point methods for semidefinite programming produced SDPT3, a Matlab software package including parts written in C and integrated via MEX files. SDPT3 incorporated the then-latest theoretical developments in semidefinite programming and large-scale linear solvers, and provided a "proof of concept" that semidefinite programming models were mathematically and computationally appealing.
Please click here for the full details of the news release.