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Kumar Muthuraman - The University of Texas at Austin, McCombs School of Business. Austin, TX, US

Kumar Muthuraman Kumar Muthuraman

Professor, Department of Information, Risk and Operations Management and Director of the Center for Research and Analytics | The University of Texas at Austin, McCombs School of Business

Austin, TX, UNITED STATES

Creating computational models with immediate, real-world applicability

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Areas of Expertise (6)

Asset Pricing Derivatives Operations Research Energy Financial Risk Management Healthcare Scheduling and Profitability

Biography

Kumar Muthuraman is a professor with expertise in modeling and forecasting. In addition, he serves as the director for the Center of Research and Analytics. As the recipient of a prestigious National Science Foundation grant, he's worked closely with hospitals and clinics to create innovative scheduling models that dramatically reduce patient wait times while improving clinic profitability. His work is currently being tested in more than 300 clinics as well as a large university hospital.

His other research areas include asset pricing, derivatives, and operations. Before joining the faculty at McCombs, Muthuraman was an assistant professor at Purdue University and a graduate research assistant at Stanford.

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Education (3)

Stanford University: Ph.D., Scientific Computing and Computational Mathematics 2003

Stanford University: M.S., Scientific Computing and Computational Mathematics 2000

Central Electrochemical Research Institute: B.Tech., Chemical and Electro-Chemical Technology 1998

Media Appearances (1)

The Academy of Distinguished Teachers Announces New Additions

Daily Texan  online

2017-06-04

Professor Kumar Muthuraman was inducted into the Academy of Distinguished Teachers.

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Articles (6)

Coordinated Scheduling for a Multi-server Network in Outpatient Pre-operative Care Production and Operations Management

2017-10-01

In this study, we develop a coordinated pre‐operative scheduling approach between Anesthesiology and Internal Medicine to optimize patients’ medical conditions prior to surgery.

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Robust Optimization Policy Benchmarks and Modeling Errors in Natural Gas European Journal of Operational Research

2016-05-01

The problem of regulating natural gas procurement has become a huge burden to regulators, especially due to the plethora of complicated financial contracts that are now being used by local distribution companies (LDCs) for risk management purposes. ...We demonstrate in this paper that when modeling errors are present, the policy benchmarks proposed earlier can backfire and are hence, as suspected, not well suited for regulation.

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Replenishment Policies for Multi-Product Stochastic Inventory Systems with Correlated Demand and Joint-Replenishment Costs Production and Operations Management

2015-04-01

This study analyzes optimal replenishment policies that minimize expected discounted cost of multi-product stochastic inventory systems.

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Boundary Evolution Equations for American Options Mathematical Finance

2014-01-01

We consider the problem of finding optimal exercise policies for American options, both under constant and stochastic volatility settings.

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Modeling and Forecasting Mortality Rates Insurance: Mathematics and Economics

2013-03-01

We show that by modeling the time series of mortality rate changes rather than mortality rate levels we can better model human mortality.

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A Stochastic Overbooking Model for Outpatient Clinical Scheduling with No-Shows IIE Transactions

2008-09-01

In this paper a stochastic overbooking model is formulated and an appointment scheduling policy is developed for outpatient clinics.

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