Address
Rice University
Department of Computational & Applied Mathematics
6100 Main Street
Houston, TX 77005-1892
USA
dennis@rice.edu
http://www.caam.rice.edu/~dennis

Lectures
The algorithmic infrastructure for the surrogate management framework (Tuesday 16.45 - 17.30)
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Optimization using surrogates for engineering design, and some thoughts on working with industry (Wednesday 11.15 - 12.00)
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Short Bio
John Dennis (Rice University) is research interest is on rigorous optimization algorithms that work for real problems. Since 1993 he has been collaborating with Boeing as member of the team that produced the Design Explorer toolkit for aerospace design. He coauthored with Robert Schnabel the book “Numerical methods for unconstrained optimization and nonlinear equations”, which is now in its third edition as SIAM Classic in Applied Mathematics. His editorial service includes co-editor of Mathematical Programming and founding Editor-in-Chief of SIAM Journal for Optimization. He served as Chair for MPS and SIAM’s Group for Optimization.
 
 

Address
University of North Carolina at Chapel Hill
209 Smith Building
CB 3180, UNC
Chapel Hill
NC 27599-3180
USA
vkulkarn@email.unc.edu
http://www.unc/~vkulkarn

Lectures
Fluid models with jumps (Tuesday 12.15 - 13.00)
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Managing warranty reserves (Wednesday 10.00 - 10.45)
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Short Bio
Vidyadhar Kulkarni received B.Tech. from Indian Institute of Technology, Bombay, in Mechanical Engineering in 1976, MS and Ph.D. in Operations Research from Cornell University in 1980. He joined the Department of Operations Research at the University of North Carolina in 1981, where he currently is the chairman of the Department of Statistics and Operations Research. He is the author of two books on stochastic models and holds a patent in bandwidth management in telecommunication networks. His research is in the area of stochastic models for telecommunications, data base systems, supply chains, queuing systems, fluid systems, warranty management, etc.
 
 

Address
University of Pittsburgh
Dept. of Computer Science
210 South Bouquet Street
Sennott Square Building, Room 5415
Pittsburgh , PA 15260
USA
kirk@cs.pitt.edu
http://www.cs.pitt.edu/~kirk

Lectures
Resource augmentation analysis of scheduling problems (Wednesday 09.00 - 09.45)
Click here for postscript file of the abstract (not yet available)

Scheduling to minimize energy usage and heat (Wednesday 16.45 - 17.30)
Click here for a postscript file of the abstract (not yet available)

Short Bio
Kirk Pruhs received a BS degree (Mathematics and Computer Science, 1984) from Iowa State University and a PhD degree (Computer Science, 1989) from the University of Wisconsin-Madison. His research interests are in algorithmic problems that arise in computer and communications systems. His research is funded by the theory of computing program and the advanced networking infrastructure and research program at the National Science Foundation, and by the United States Air Force. He is on the editorial boards of Journal of Scheduling and INFORMS Journal of Computing. He was recently on the program committees for the ACM/SIAM Symposium on Discrete Algorithms, the International Workshop on Mobility and Databases and Distributed Systems, and the ACM International Workshop on Data Engineering for Wireless and Mobile Access. He was awarded an inaugural innovation in teaching award from the University of Pittsburgh Advisory Council on instructional excellence.
 
 

Address
Max-Planck Institut für Informatik
Algorithms and Complexity Group (AG1)
Stuhlsatzenhausweg 85
D-66123 Saarbrücken
Germany
skutella@mpi-sb.mpg.de
http://www.mpi-sb.mpg.de/~skutella

Lectures
Flows over time: algorithms and complexity (Tuesday 11.15 - 12.00)
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On the k-splittable flow problem (Wednesday 12.15 - 13.00)
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Short Bio
Martin Skutella received his Ph.D. in Mathematics from TU Berlin in 1998 under the supervision of Rolf Moehring. For his dissertation, he was awarded a price of the Operations Research Society (GOR) and a honourable mention in the course of the Richard-Rado-Price award. He spent one year at the Center for Operations Research and Econometrics (CORE) in Belgium and afterwards half a year at the Forschungsinstitut für Diskrete Mathematik in Bonn. During the second half of 2002, he visited Sloan School of Management at MIT, before he moved in 2003 to Max-Planck-Institut fuer Informatik in Saarbrüecken. His main research interests lie in the area of Combinatorial Optimization, in particular in Scheduling and Network Flows.
 
 

Address
Department of Mathematics and Statistics
The University of Melbourne
Vic 3010
Australia
p.taylor@ms.unimelbourne.edu.au
http://www.ms.unimelb.edu.au/~pgt

Lectures
Some interesting new perspectives on tandem Jackson networks (Tuesday 15.45 - 16.30)
Click here for postscript file of the abstract

Capacity reconfiguration in logically fully-connected networks (Wednesday 15.45 - 16.30)
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Short Bio
Peter Taylor received his PhD from the University of Adelaide in 1987. Since 2002 he is at the University of Melbourne, where he took up a position as Professor of Operations Research. Peter's research interests are in stochastic processes and applied probability, with particular emphasis on teletraffic and biological applications. He has published around 75 papers. Peter has also had considerable experience interacting with industry. For the four years up to the end of 2001, he was the Director of the University of Adelaide's Teletraffic Research Centre. Peter is one of the chief investigators in the ARC Centre of Excellence in Mathematics and Statistics of Complex Systems (MASCOS). In addition, he was a key researcher in the CRC for Smart Internet Technology. He is the Editor-in-Chief of the international journal Stochastic Models and is currently an Associate Editor of the journal Queueing Systems