IBM®
Skip to main content
    Country/region [change]    Terms of use
 
 
 
    Home    Products    Services & solutions    Support & downloads    My account    

IBM Journal of Research and Development

Business Optimization   Volume 51, Number 3/4, 2007
Table of contents: HTMLPDF This article: HTMLPDF   Copyright info

Inventory allocation and transportation scheduling for logistics of network-centric military operations - Author Bios

by F. Barahona,
P. Chowdhary,
M. Ettl,
P. Huang,
T. Kimbrel,
L. Ladanyi,
Y. M. Lee,
B. Schieber,
K. Sourirajan,
M. I. Sviridenko,
and G. M. Swirszcz
Biographical sketches of authors

Francisco Barahona IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (barahon@us.ibm.com). Dr. Barahona received a Ph.D. degree in operations research from the University of Grenoble, France. His research interests include combinatorial optimization, integer programming, and mathematical programming. He has been a professor at the University of Chile and the University of Waterloo, Canada, and a visiting professor at the University of Bonn, Germany. Dr. Barahona has received an IBM Outstanding Technical Achievement Award, and he holds two patents. He has been an associate editor of SIAM Journal on Optimization, Operations Research, and Management Science.

Pawan Chowdhary IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (chowdhar@us.ibm.com). Mr. Chowdhary received his bachelor's degree in electronics engineering from Nagpur University, India, in 1996. During his ten-year career, he has been associated with various IBM divisions, where he has architected, designed, and implemented complex, high-performance, and scalable distributed object-oriented applications. Since joining the IBM Research Division in 2004 as an Advisory Software Engineer in the Analytic Models and Architecture Department, he has been working on technologies related to Sense-and-Respond and Business Performance Management (BPM), as well as model-driven software development techniques. Mr. Chowdhary writes extensively in the area of BPM and model-driven techniques.

Markus Ettl IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (msettl@us.ibm.com). Dr. Ettl is a Research Staff Member at the IBM Thomas J. Watson Research Center. In 1995 he received his doctoral degree in computer science from Friedrich-Alexander University in Erlangen, Germany. Since joining IBM in 1995, he has focused on advanced research in supply chain management, and he holds several patents in this field. Dr. Ettl's current research interests lie in decision support for production systems and logistics networks, and sense-and-respond business management for adaptive organizations. In 1999 he received the INFORMS Franz Edelman Award. His other awards and commendations include two IBM Outstanding Technical Achievement Awards and several IBM Research Division Awards.

Pu Huang IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (puhuang@us.ibm.com). Dr. Huang received his M.S. degree from the School of Computer Science and his Ph.D. degree from the Tepper School of Business, both at Carnegie Mellon University. He is a Research Staff Member at the IBM Thomas J. Watson Research Center. His current interests are in supply chain management, stochastic optimization, machine learning, and data mining. His work includes sense-and-respond systems that help businesses quickly detect emerging risks and react with corrective actions. Such systems typically integrate intelligent data mining techniques and sophisticated decision support algorithms to provide their functions. Recently, Dr. Huang has worked on extending the same idea to support business decision making in large-scale distributed environments.

Tracy Kimbrel IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (kimbrel@us.ibm.com). Dr. Kimbrel received B.S., M.S., and Ph.D. degrees in computer science from the University of Washington, joining the IBM Research Division in 1997. His research on the design of algorithms for optimization problems includes theoretical, experimental, and applied efforts in areas such as operating system scheduling, resource allocation in multi-server systems, and vehicle routing. He has received an IBM Research Division Award and two Research Division Technical Group Awards, and he holds two patents.

Laszlo Ladanyi IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (ladanyi@us.ibm.com). Dr. Ladanyi received an M.S. degree in mathematics from Eotvos Lorand University in Budapest, Hungary, and a Ph.D. degree in operations research from Cornell University. He joined the IBM Research Division in 1996. Dr. Ladanyi's main research areas are integer programming and parallel programming, with a focus on computational aspects.

Young M. Lee IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (ymlee@us.ibm.com). Dr. Lee received B.S., M.S., and Ph.D. degrees in chemical engineering from Columbia University. In 2002 he joined the IBM Research Division, where he has been working in the areas of supply chain simulation and optimization. Before joining IBM, Dr. Lee worked for 14 years for BASF, where he founded and managed the Mathematical Modeling Group and led the development of numerous optimization and simulation models for various logistics and manufacturing processes.

Baruch Schieber IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (sbar@us.ibm.com). Dr. Schieber is the manager of the Optimization Center in the Mathematical Sciences Department at the IBM Thomas J. Watson Research Center. In this capacity he leads a group of computer scientists, mathematicians, and operations researchers in activities combining world-class basic research with the design and implementation of state-of-the-art software in areas such as supply chain management, personnel and vehicle scheduling, production planning, print technology, and intrinsic function acceleration. Dr. Schieber received his Ph.D. degree in computer science from Tel Aviv University, Israel, in 1987 and joined IBM as a Postdoctoral Fellow. His main interests are approximation algorithms, scheduling, and routing. Dr. Schieber has published more than 50 papers in scientific journals; he is a regular presenter at leading theoretical computer science conferences.

Karthik Sourirajan IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (ksourira@us.ibm.com). Dr. Sourirajan is a Research Staff Member in the Mathematical Sciences Department at the IBM Thomas J. Watson Research Center. He received a B.E.(Hons.) degree in mechanical engineering at the Birla Institute of Technology and Science, Pilani, India, in 2000, followed by M.S. (2002) and Ph.D. (2006) degrees in industrial engineering from Purdue University. His research interests include the application of operations research techniques to solving real-world problems that are generally related to supply chains, such as forecasting, inventory management, integrated facility location, and logistics.

Maxim I. Sviridenko IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (sviri@us.ibm.com). Dr. Sviridenko received B.S., M.S., and Ph.D. degrees in applied mathematics and computer science from the Novosibirsk State University, Russia. He joined the IBM Research Division in 2000. He holds one patent and has received an IBM Research Division Award and a Research Division Technical Group Award for work on the design of algorithms for various optimization problems.

Grzegorz M. Swirszcz IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598 (swirszcz@us.ibm.com). Dr. Swirszcz joined IBM in 2003 after receiving M.S. and Ph.D. degrees from the University of Warsaw, Poland, and spending three years as a Marie Curie Postdoctoral Fellow at the Centre de Recerca Matemática in Barcelona, Spain. He works on mathematical methods in modeling, optimization, qualitative theory of differential equations, and applications of mathematics in signal analysis and business processes. Dr. Swirszcz is currently working on fault-detection algorithms in electric networks. He also continues his fundamental research in various areas of pure and applied mathematics. His interests involve creative and innovative applications of advanced mathematics and problem solving.


    About IBMPrivacyContact