Industrial Engineering
 

Archis Ghate

Phone: (206) 616-5968
Fax: (206)-685-3072
Email: archis@u.washington.edu
Personal Webpage: http://web.mac.com/archis.ghate

BACKGROUND

Professor Ghate joined the University of Washington in September 2006. He holds the following degrees

SCHOLARLY PURSUITS

Dr. Ghate's research focuses on developing mathematical tools for making optimal decisions in the face of uncertainty. He is interested in (i) the design and analysis of randomized algorithms for solving large-scale optimization problems, and (ii) the theory of mathematical programming. He has applied his work to problems in operations management and healthcare. Some of his recent projects are listed here.

  • Optimization of Intensity Modulated Radiation Therapy for Cancer Patients 

    Professor Ghate is working on applications of stochastic search methods for global optimization to improve Intensity Modulated Radiation Therapy (IMRT) treatment to cancer patients. The objective is to come up with clinically relevant treatment plans that maximize radiation dose to cancerous tissue while minimizing damage to healthy tissue. This work is performed in collaboration with Mark Phillips, a medical physicist at the University of Washington Medical Center. 

  • Performance Improvements at the Radiology Department at the Harborview Medical Center 

    Professor Ghate is working on applying Operations Research techniques to improve patient waiting time, patient throughput and other performance measures at the Radiology Department at Harborview. The approach includes a combination of simulation and Markov Decision Process based evaluation of several competing improvement policies. This research is conducted in collaboration with Dr. Norm Beauchamp and other doctors and staff at Harborview.

UNDERGRADUATE TEACHING

INDE 412 Integer and Dynamic Programming

INDE 411 Stochastic Models and Decision Analysis

GRADUATE TEACHING

IND E 513 Linear Optimization Models in Engineering
IND E 599 Special Topics in Industrial Engineering: Stochastic Processes