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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. 

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Kimon Drakopoulos

ASSOCIATE PROFESSOR OF
DATA SCIENCES AND OPERATIONS
MARSHALL SCHOOL OF BUSINESS
UNIVERSITY OF SOUTHERN CALIFORNIA

 

Phone:

213-821-9882

 

Email:

drakopou@marshall.usc.edu 

 

Address:

Bridge Hall (BRI) 401E

USC Marshall School of Business
Los Angeles, CA 90089-0808

EDUCATION
EMPLOYMENT-EDUCATION
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July 2023-present

Inaugural Director of the AI for Business Major

Marshall School of Business, University of Southern California

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February 2023-present

Associate Professor of Data Sciences and Operations (with tenure)

Marshall School of Business, University of Southern California

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June 2016- February 2023

Assistant Professor of Data Sciences and Operations

Marshall School of Business, University of Southern California

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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

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2011-2016

PhD, Doctoral Thesis: Analysis and Control of Contagion Processes on Networks

Laboratory for Information and Decision Systems, Massachusetts Institute of Technology

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2009-2011

Master's, Thesis: Observational Learning with Finite Memory

Laboratory for Information and Decision Systems, Massachusetts Institute of Technology

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2004-2009

Diploma, Thesis: Active Contours on Graphs and Implementations with Graphcuts

ECE, National Technical University of Athens

Teaching
TEACHING
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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!

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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.

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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
PAPERS
Coauthors: Irene Lo, Justin Mulvany
Blockchain Mediated Persuasion

Coauthors: Irene Lo, Justin Mulvany

Working Paper
Coauthors: Hamsa Bastani, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjicristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras
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
Coauthors: Hamsa Bastani, Vishal Gupta, Ioannis Vlachogiannis, Christos Hadjicristodoulou, Pagona Lagiou, Gkikas Magiorkinis, Dimitrios Paraskevis, Sotirios Tsiodras
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.
Coauthor: Ali Makhdoumi
Providing Data Samples For Free

Coauthor: Ali Makhdoumi

Accepted in Management Science
Coauthor: Ramandeep Randhawa
Why Perfect Tests May Not be Worth Waiting For: Information as a commodity

Coauthor: Ramandeep Randhawa

Accepted in Management Science (FastTrack)
Coauthors: Gad Allon, Vahideh Manshadi
Information Inundation on Platforms and Implications

Coauthors: Gad Allon, Vahideh Manshadi

Accepted in Operations Research
Coauthors: Shobhit Jain, Raman Randhawa
Persuading Customers to Buy Early: the Value of Personalized Information Provisioning

Coauthors: Shobhit Jain, Raman Randhawa

Forthcoming in Management Science
Coauthor: Fanyin Zheng
Network Effects in Contagion Processes: Identification and Control

Coauthor: Fanyin Zheng

Major Revision, Manufacturing & Service Operations Management (MSOM)
Coauthor: Ozan Candogan
Optimal Signaling of Content Accuracy: Engagement vs. Misinformation

Coauthor: Ozan Candogan

Published in Operations Research
Coauthors: Asu Ozdaglar, John Tsitsiklis
When is a network epidemic hard to eliminate?

Coauthors: Asu Ozdaglar, John Tsitsiklis

Published in Mathematics of Operations Research
Coauthors: Asu Ozdaglar, John Tsitsiklis

An efficient policy for curing epidemics on graphs

Coauthors: Asu Ozdaglar, John Tsitsiklis

Published in IEEE Transactions on Network Science and Engineering
Coauthors: Asu Ozdaglar, John Tsitsiklis
On Learning with Finite Memory

Coauthors: Asu Ozdaglar, John Tsitsiklis

Published in IEEE Transactions on Information Theory
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