Tami Carpenter's Homepage
96 Frelinghuysen Road
Piscataway, NJ 08854-8018
E-mail: tcar at dimacs.rutgers.edu
Phone: (848) 445-4631
Fax: (732) 445-5932
Office: 430 CoRE building on the Busch Campus
Associate Director for the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University.
DIMACS fosters research and educational programs on topics that lie at the interface of discrete mathematics and theoretical computer science. DIMACS was founded as an NSF "science and technology center" in 1989 and is a consortium of Rutgers and Princeton Universities, AT&T Labs, Bell Labs (Lucent Technologies), NEC Laboratories America and Telcordia Technologies. Affiliate Members: Avaya Labs, Georgia Institute of Technology, HP Labs, IBM Research, Microsoft Research, Rensselaer Polytechnic Institute and Stevens Institute of Technology.
My Hot List -- A few of the things that I've been involved with recently (in no particular order):
Emergency evacuation is a topic that is not on my hot list yet, but I'd like it to be. If you have suggestions on important computational or mathematical challenges that might offer an appropriate workshop topic, please drop me an email.
For most of my career, I was a researcher at Bellcore, which became Telcordia Technologies in 1999. My most recent position was as a Senior Scientist and Director of the Network Models & Algorithms Research Group. Here are a few Telcordia highlights.
I was a graduate student, teaching assistant, research assistant and visiting lecturer at Princeton University. [I'll add Princeton highlights someday.]
My first job was as an Operations Research Analyst at RCA, which was bought by GE, hastening my return to graduate school.
Optimization and mathematical programming, in particular:
Telecommunication network design, equipment location, and resource allocation, including access network planning, optical network planning, handling uncertainty in network planning, and efficient routing in telecommunication networks.
Optimization models for emergency preparedness and response.
Earlier research focused on large-scale optimization, including interior-point methods, quadratic programming, and stochastic optimization.
Last modified: November 2008
Created: October 2006