Hello! I'm Kimon (pronounced Keemon)
I am an Associate Professor in the Data Sciences and Operations department and the Inaugural Director of the AI for Business major at the USC Marshall School of Business. My research focuses on the modeling, analysis and operations of contagion, complex networked systems, social networks, and information economics. Prior to joining USC, I completed my PhD under the supervision of Asuman Ozdaglar and John Tsitsiklis at the Laboratory for Information and Decision Systems, MIT.
Kimon Drakopoulos
ASSOCIATE PROFESSOR OF
DATA SCIENCES AND OPERATIONS
MARSHALL SCHOOL OF BUSINESS
UNIVERSITY OF SOUTHERN CALIFORNIA
Phone:
213-821-9882
Email:
Address:
Bridge Hall (BRI) 401E
USC Marshall School of Business
Los Angeles, CA 90089-0808
EMPLOYMENT-EDUCATION
TEACHING
Revenue Management Interactive Teaching Platform
Suite of Solutions for teaching concepts in Revenue Management
Developed together with Raman Randhawa, a full suite of solutions for teaching the main concepts of Revenue Management. Click here to explore the platform and the teaching note!
Operations Management
Undergraduate, Marshall School of Business
How do organizations such as financial institutions, health care, and manufacturing meet customer needs and stay consistent with their goals and values? How do organizations make trade-off decisions with respect to quality, cost, and time? Operations Management provides tools and methods to answer these questions optimally in a global business world.
System Optimization and Analysis for Manufacturing
MBA and Engineering Dual Degree, Sloan School of Management and MIT School of Engineering
Introduction to mathematical modeling, optimization, and simulation, as applied to manufacturing. Specific methods include linear programming, network flow problems, integer and nonlinear programming, discrete-event simulation, heuristics and computer applications for manufacturing processes and systems. Restricted to Leaders for Global Organization (Engineering MBA Dual Degree Program).
PAPERS
Interpretable OR for High-Stakes Decisions: Designing the Greek COVID-19 Testing System
Coauthors: Hamsa Bastani, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjicristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras
Accepted in the Informs Journal of Applied Analytics - Winner of the Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research
Efficient and targeted COVID-19 border testing via reinforcement learning
Coauthors: Hamsa Bastani, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjicristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras