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This is the homepage of Jörg Fliege

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Prof. Dr. Jörg Fliege, FORS
Director of CORMSIS
The University of Southampton
Highfield
Southampton, SO17 1BJ
U.K.
Fax:     +44-23-8059-3131
Email: J.Fliege@soton.ac.uk

Please take a look at my timetable / availability
before trying to reach me in person!


Welcome to my homepage. Don't expect too much from it, since the page is the result of twenty minutes spare time. You will only find some links I like and the description of some of my work.


Short guide for pronouncing my last name: Fleegue. Fl like in flying, ee like in beer, ge like in fatigue.

Short guide for pronouncing my first name: York.  Like in Yorkshire. That will do.

Two not-so-short guides for pronouncing my first name: 
First version, York: the Y like in Yorkshire, but ork like in work. Pretty good.
Second version, Yirk: the Y like in Yorkshire, ir like in bird, k like in work. Just in case you want to impress me.  :-)


PhD Students

Andree Heseler (2002-2005) on warm-start strategies in parametric optimization with applications in multicriteria optimization.
Carlos Sosa Paz (2004-2010) on numerical issues in multihop ad-hoc wireless telecommunication networks.
Philipp Naegele (2005-2010) on numerical algorithms in nonlinear multiobjective optimisation.
Stephen Twum (2005-2009) on applications of multiobjective optimisation in realiability engineering.
Joe Hodgkiss (2006-2010) on algorithms for simultaneous routing, scheduling, and power control in wireless telecommunication networks.
Jun Wei (2008-2011) on distributed optimization methods for wireless telecommunication networks.
Long Tran-Thanh (2008-2012) on budget-limited multi-armed bandits.
Rudabeh Meskarian (2009-) on stochastic multiobjective optimisation.
Marta Valcarcel (2010-) on bilevel multiobjective optimisation.
James Heppell (2011-) on plant root optimization.
Yalin Bi (2011-) on revenue management in the case of an oligopoly.
Edwin Tye (2011-) on optimizing the growth of online communities.
Philippa Hiscock (2011-) on detecting risks in online communities.
Rosanna Upstill-Goddard (2011-): on machine lerning techniques for detecting breast cancer susceptibility.

Publications

Stuff I actually deemed so important that I took some pains to bring it into a presentable form, and that was deemed so important by other people that it got published.

Awards and Invitations

Shameless self-promotion here. Moreover, been there, done that.

Talks and Attended Conferences

Again: Been there, done that. Where "that" actually means giving a talk. Among other things.

Information for Students             My Timetable / Availability                     Information about Internships


Multi-Hop Ad-Hoc Wireless Networks

I am interested in mathematical algorithms useful for the design and the optimization of multi-hop ad-hoc wireless networks, especially with respect to routing, power control, decomposition approaches, etc. Most of these algorithms have to work in a distributed fashion in a real-time environment, so their design can be considered as hard. My work is mainly done in conjunction with industrial partners like Alcatel-Lucent, Bell Labs, Qualcomm, etc.

(Photo on the left by Milica Seculic, photo on the right by smith. Both used under the creative commons 2.0 license. Middle photo copyright by Joerg Fliege, Armin Dekorsy, and Joe Hodgskiss.)

Efficient Algorithms for Multiobjective Optimisation Problems

In multicriteria (multiobjective) optimization, several objective functions have to be minimized simultaneously. Usually, no single point will minimize all given objective functions at once, and so the concept of optimality has to be replaced by the concept of Pareto-optimality or efficiency. A point is called Pareto-optimal or efficient, if there does not exist a different point with the same or smaller objective function values, such that there is a decrease in at least one objective function value. Two different efficient points will usually be not only quite different from each other in terms of objective function values, but also incomparable with each other: it will not be the case that one point is better than the other one with respect to all objective functions involved. Instead, the quality of the points will change across different objectives. Therefore, we have to gain as much information as possible about the solution set of a given problem, preferably by constructing a well-defined approximation to it.


Modeling and Locating Air Polluting Facilities: the OLAF software

The OLAF software models the effects of a low-toxic air pollutant on inhabitants of arbitrary land-based ecosystems and optimizes the location of the polluting facility.


Integration Nodes for the Sphere

Here you can find more information about one of my current research interests. If you need to integrate functions defined on the two-dimensional sphere $S^2$, this might be what you are searching for.


A Problem Generator

I was rather angry when I wrote this little piece. Please bear with me.


On-line Bibliographies

Search some (rather old) bibliographies (in BibTeX format) online and look at some links to other projects of this kind.


Jumping-Off Points

Some of my old starting points on the Web. Outdated. They can also be used for searching specific subjects.

Mathematics

Some links to mathematics I am interested in. Utterly and totally outdated.
Locations of visitors to this page

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Last change:  28 March 2012.
Copyright © 2000--2010 by Jörg Fliege, Operational Research Group, School of Mathematics, The University of Southampton, Highfield, Southampton, SO17 1BJ, U.K.