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. 


Information Inundation on Platforms and Implications

Coauthors: Gad Allon, Vahideh Manshadi

Status: working

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

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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

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