Current research interests:

  • Financial engineering: high-frequency market microstructure; trade execution algorithms; dark pools
  • Economics of queues: queues in equilibrium; optimal pricing; product design and customer choice; characterization of economically optimal operating regimes
  • Quantitative pricing and revenue management: multi-product pricing; strategic consumer behavior; joint learning and revenue optimization; data-driven, large-scale segmentation and price optimization
  • Real estate: quantitative pricing, risk management, valuation of large-scale real-estate portfolios
  • Stochastic networks: fluid models; Brownian models; control; stability
  • Service operations: multi-server queues; call centers; design, control and performance analysis of such systems; customer behavior; segmentation and revenue optimization
  • Joint learning and control of stochastic systems
  • Asymptotic analysis: applications to queues; quantitative pricing and revenue management

Short research briefs that have featured some of my work can be found at:

Papers are listed in reverse chronological order.

2015-

Monopoly pricing in the presence of social learning

D. Crapis, B. Ifrach, C. Maglaras and M. Scarsini

Limit order book markets: a queueing systems perspective (Lecture series delivered at Imperial College, London, May 2015)

C. Maglaras

Optimal execution in a limit order book and an associated microstructure market impact model

C. Maglaras, C. Moallemi and H. Zheng

2012-2014

Optimal price and delay differentiation in queueing systems

C. Maglaras, J. Yao and A. Zeevi

Forthcoming Management Science (2015)

Bayesian social learning with consumer reviews

B. Ifrach, C. Maglaras and M. Scarsini

Five-star Pricing This research brief showcased this paper.

Monopoly pricing in the presence of social learning

B. Ifrach, C. Maglaras and M. Scarsini

Five-star Pricing This research brief showcased this paper.

Queueing dynamics and state space collapse in fragmented limit order book markets

C. Maglaras, C. Moallemi and H. Zheng

A maximum entropy joint demand estimation and capacity control policy for revenue management

S. Eren and C. Maglaras

Forthcoming POMS (2014)

Dynamic pricing with financial milestones: feedback pricing policies

O. Besbes and C. Maglaras

Forthcoming Management Science (2012)

2008-2011

Dynamic Pricing Strategies for Multi-Product Revenue Management Problems

C. Maglaras

Encyclopedia of Operations Research, (2010)

A maximum entropy joint demand estimation and capacity control policy for revenue management

S. Eren and C. Maglaras

Modeling and analysis of an aggregated market for procurement

Y-J. Chen, C. Maglaras and G. Vulcano

Monopoly pricing with limited demand information

S. Eren and C. Maglaras

Journal of Revenue and Pricing Management (2009)

Dynamic pricing when customers strategically time their purchase: Asymptotic optimality of a two-price policy

M. Bansal and C. Maglaras

Journal of Revenue and Pricing Management (2009) 8, 42--66

Product design in a market with satisficing customers

M. Bansal and C. Maglaras

In Consumer-Driven Demand and Operations Management Models: A Systematic Study of Information-Technology-Enabled Sales Mechanisms, Eds. S. Netessine and C. Tang, Springer, 2009

Operations in the service industries: Introduction to this special issue

U. Apte, C. Maglaras and M. Pinedo

Production and Operations Management, Vol. 17, No. 3, May-June 2008, pp. 235--237

Revenue optimization for a make-to-order queue in an uncertain market environment

O. Besbes and C. Maglaras

Forthcoming Operations Research, 2009.

Cross-selling in call centers with heterogeneous customer populations

I. Gurvich, M. Armony and C. Maglaras

Operations Research, 57(2): 299--313, Mar.--Apr., 2009.

Joint pricing and leadtime management in make-to-order systems

S. Celik and C. Maglaras

Management Science, 54: 1132--1146, 2008

2003-2007

Dynamic pricing strategies for multi-product revenue management problems.

C. Maglaras and J. Meissner

Manufacturing & Service Operations Management, 8(2): 136--148, Spring 2006

Revenue management for a multi-class single-server queue

C. Maglaras

Operations Research, 54(5): 914--932, Sep.-Oct., 2006

This paper was featured in the following research brief

Pricing and design of differentiated services: Approximate analysis and structural insights.

C. Maglaras and A. Zeevi

Operations Research, 53(2): 242--262, 2005

Designing for price This research brief showcased this paper.

Queueing systems with lead-time constraints: A fluid model approach for admission and sequencing control

C. Maglaras and J. Van Mieghem

European Journal of Operational Research, 167: 179--207, 2005

Diffusion approximations for a Markovian Service System with "Guaranteed" and "Best-effort" service levels

C. Maglaras and A. Zeevi

Mathematics of Operations Research, 29(4): 786-813, 2004

Designing for price This research brief showcased this paper.

Contact centers with a call-back option and real-time delay information

M. Armony and C. Maglaras

Operation Research, 52(4): 527-545, Jul.--Aug. 2004

To wait or not to wait This research brief showcased this article.

On customer contact centers with a call-back option: Customer decisions, sequencing rules and system design

M. Armony and C. Maglaras

Operation Research, 52(2): 271-292, Mar.--Apr., 2004

To wait or not to wait This research brief showcased this article.

Pricing and capacity sizing for systems with shared resources: Scaling relations and approximate solutions

C. Maglaras and A. Zeevi

Management Science, 49(8): 1018--1038, Aug. 2003

To wait or not to wait and Designing for price These research briefs showcased this paper.

Continuous-review tracking policies for dynamic control of stochastic networks

C. Maglaras

Queueing Systems, 43:43--80, 2003

1998-2002

Pricing and Performance Analysis for a System with Differentiated Services and Customer Choice

A. Zeevi and C. Maglaras

Proc. 41th Allerton Conf. on Comm., control and computing, Allerton, IL, 2002

Optimal dynamic auctions for revenue management

G. Vulcano, G. van Ryzin and C. Maglaras

Management Science, 48(11): 1388--1407 Oct. 2002

Discrete-review policies for scheduling stochastic networks: Trajectory tracking and fluid-scale asymptotic optimality

C. Maglaras

Annals of Applied Probability Vol.10 (3): 897--929, 2000

Dynamic scheduling in multiclass queueing networks: Stability of discrete-review policies

C. Maglaras

Queueing Systems, 31(3): 171--206, 1999

Dynamic Control of Stochastic Processing Networks: A Fluid model Approach

C. Maglaras

Ph.D Thesis, Electrical Engineering Dept., Stanford University

Dissertation advisors: J.M. Harrison (Stanford, GSB), S. Kumar (Stanford, GSB), S. Boyd (Stanford, EE)

Capacity realization in stochastic batch-processing networks using discrete-review policies

S. Kumar and C. Maglaras

Unpublished manuscript, Columbia University, 1998

Design of dynamic control policies for stochastic processing networks via fluid models

C. Maglaras

In Proc. 1997 IEEE Conference in Decision and Control, San Diego, CA

High-performance algorithmic switched-current memory cell

C. Toumazou, N. Battersbee and C. Maglaras

Electronics Letters, 26(19): 1593--1595, Sept. 1990