Hello! I'm Kimon (pronounced Keemon)
I am an Associate Professor in the Data Sciences and Operations department at 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
February 2023-present
Associate Professor of Data Sciences and Operations (with tenure)
Marshall School of Business, University of Southern California
June 2016- February 2023
Assistant Professor of Data Sciences and Operations
Marshall School of Business, University of Southern California
May 2020-January 2021
Chief Data Scientist of Greek COVID-19 Taskforce and Advisor to the Greek Prime Minister
Presidency of the Greek Government, Ministry of Digital Governance, Ministry of Civil Protection
2011-2016
PhD, Doctoral Thesis: Analysis and Control of Contagion Processes on Networks
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology
2009-2011
Master's, Thesis: Observational Learning with Finite Memory
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology
2004-2009
Diploma, Thesis: Active Contours on Graphs and Implementations with Graphcuts
ECE, National Technical University of Athens
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
Blockchain Mediated Persuasion
Coauthors: Irene Lo, Justin Mulvany
Working Paper
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
Published in Nature - Winner of the Pierskalla Best Paper Award - Second place Public Service Operations Research (PSOR) Best Paper Award.
Providing Data Samples For Free
Coauthor: Ali Makhdoumi
Accepted in Management Science
Why Perfect Tests May Not be Worth Waiting For: Information as a commodity
Coauthor: Ramandeep Randhawa
Accepted in Management Science (FastTrack)
Information Inundation on Platforms and Implications
Coauthors: Gad Allon, Vahideh Manshadi
Accepted in Operations Research
Persuading Customers to Buy Early: the Value of Personalized Information Provisioning
Coauthors: Shobhit Jain, Raman Randhawa
Forthcoming in Management Science
Network Effects in Contagion Processes: Identification and Control
Coauthor: Fanyin Zheng
Major Revision, Manufacturing & Service Operations Management (MSOM)
Optimal Signaling of Content Accuracy: Engagement vs. Misinformation
Coauthor: Ozan Candogan
Published in Operations Research
When is a network epidemic hard to eliminate?
Coauthors: Asu Ozdaglar, John Tsitsiklis
Published in Mathematics of Operations Research
An efficient policy for curing epidemics on graphs
Coauthors: Asu Ozdaglar, John Tsitsiklis
Published in IEEE Transactions on Network Science and Engineering
On Learning with Finite Memory
Coauthors: Asu Ozdaglar, John Tsitsiklis