Hello! I'm Kimon (pronounced Keemon)
I am an Assistant Professor in the Data Sciences and Operations department at USC Marshall School of Business. My research focuses on the operations of complex networked systems, social networks, stochastic modeling, game theory 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.
EMPLOYMENT-EDUCATION
RESEARCH - PAPERS
Demand Control of Information Products: Why Perfect Tests May Not be Worth Waiting For
Coauthor: Ramandeep Randhawa
Status: Working
Information Inundation on Platforms and Implications
Coauthors: Gad Allon, Vahideh Manshadi
Status: Minor Revision, Operations Research
Persuading Customers to Buy Early: the Value of Personalized Information Provisioning
Coauthors: Shobhit Jain, Raman Randhawa
Status: Accepted for publication in Management Science
Network Effects in Contagion Processes: Identification and Control
Coauthors: Fanyin Zheng
Status: Major Revision, Manufacturing & Service Operations Management (MSOM)
Optimal Signaling of Content Accuracy: Engagement vs. Misinformation
Coauthors: Ozan Candogan
Status: Accepted for Publication in Operations Research
Coauthors: Asu Ozdaglar, John Tsitsiklis
Status: Published
Journal: Mathematics of Operations Research, September 2016
Coauthors: Asu Ozdaglar, John Tsitsiklis
Status: Published
Journal: IEEE Transactions on Network Science and Engineering, January 2015
Coauthors: Asu Ozdaglar, John N. Tsitsiklis
Status: Published
Journal: IEEE Transactions on Information Theory, October 2013
Coauthor: Petros Maragos
Status: Published
Journal: IEEE Journal of Selected Topics in Signal Processing, August 2012
TEACHING
Operations Management
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.
Term: Spring 2017
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).
Term: Summer 2015