# Hou-Duo Qi

Associate Professor in Operational Research

**School of Mathematics**

**The University of Southampton**

**Brief History** I received B.Sc degree in
statistics from
Peking University in 1990, M.Sc degree from
Qufu Normal University in 1993 and Ph. D from
Institute of Applied Mathematics,
Chinese Academy of Sciences in 1996, both in
operational research and optimal control. I have been a postdoctoral
fellow at
State Key Laboratory of Scientific and Engineering
Computing,
Hong Kong Polytechnic University, and
University of New South Wales.
My research had been mainly supported by
Australian Research Council (ARC) (2000-2004).
In 2004, I was awarded by ARC a Queen Elizabeth II fellowship (QEII fellow). Since September 2004,
I moved to University of Southampton
to take up a lectureship in
Operational Research. Senior lecturer and Associate Professor (2010 --).

**Research Interests**

Constrained Optimization,
Constructive Approximation,
Matrix Optimization,
Numerical Analysis,
Semidefinite Problems, and
Variational Inequalities

**Professional services**

Associate Editor of
Mathematical Programming Computation, (2013 -- )

Associate Editor of
Asia-Pacific Journal of Operational Research (APJOR), (2011 -- )

Field Chief Editor (Optimization) of the new journal
Statistics, Optimization & Information Computing (SOIC),
From 2013 --

**Research Projects**

**Matlab Codes**

- EMBED Package
EMBED.zip
(EMbedding the Best Euclidean Distances)
- Code based on the LAgrangian Dual approach for source localization problems
(paper)
(LAD.m).
You also need
(ENewton.m),
(fga.m), and
(HANSO2.01)

Give it a test
(testLAD.m) by setting example = 'BLTWY06'.

The GTRS matlab code (GTRS.m) used in the paper.
- Computing the nearest EDM matrix to a given pre-distance matrix
(ENewton.m)
- Computing the nearest correlation matrix to a given matrix with a simple bound
(
*BcorNewton.rar *)
- Computing the nearest correlation matrix to a given symmetric matrix with various constraints (downloadable from
Prof. D. Sun's page)
- Best convex interpolation and smoothing over given one-dimensional data
(ConvexShape.m)
- Best shape-preserving interpolation over a given set of data
(ShapePreserving.m)

**Contact Information**

School of Mathematics

University of Southampton

Highfield

Southampton, SO17 1BJ

UK

**Telephone:** 44 (0) 23 8059 3683

**Facsimile:** 44 (0) 23 8059 5147

**Email:****
hdqi@soton.ac.uk**

**Office:** 10025, Building 54 (Math. Building)

###
Teaching

All courses are now moved to
Blackboard.