CHUA Chek Beng

Associate Professor CHUA Chek Beng serves in the Division of Mathematical Sciences within the School of Physical & Mathematical Sciences at Nanyang Technological University (NTU), Singapore. His academic profile centers on theoretical optimization with strong emphasis on mathematical structures underlying convex programming.

His educational credentials include:

• Ph.D. in Operations Research, Cornell University (2003)
• M.Sc. in Operations Research, Cornell University (2002)
• B.Sc. First Class Honours in Mathematics, National University of Singapore (1999)

Professor Chua's research critically examines primal-dual interior-point methods for convex optimization, the algebraic structure of convex cones, representability of convex cones, and complementarity problems over convex cones. His work bridges abstract algebra and computational optimization, particularly through T-algebra frameworks for symmetric cones. This theoretical foundation enables novel algorithmic approaches to semidefinite programming and variational inequalities, with consistent contributions to top-tier journals like SIAM Journal on Optimization and Mathematical Programming.

His publication trajectory reveals deepening specialization in cone-based optimization—from foundational T-algebra theory (2003–2009) to advanced smoothing Newton methods (2013–2015)—with recurring themes in central path analysis, error bounds, and algorithmic convergence. All works demonstrate rigorous mathematical treatment of symmetric cone programming and complementarity problems.

His accolades feature:

• SIAM Student Paper Prize (2003)
• Olin Fellowship from Cornell University (2001–2002)
• Cornell Sage Fellowship (1999–2001)

Professor Chua actively disseminates findings through major international forums including SIAM Conferences and International Symposia on Mathematical Programming, though no student supervision details or grant activities appear in the source documentation. Similarly, laboratory affiliations or research team structures remain unspecified.