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Give to Rice Computational Applied Mathematics and Operations Research

The Department of Computational Applied Mathematics and Operations Research (CMOR) in the George R. Brown School of Engineering is working at the forefront of research in the field. With more than 50 years of existence, the CMOR department has been a pioneer in carrying out internationally recognized mathematical research with an impact in engineering, science and society. Join us in contributing optimization, applying cutting edge analytics and modeling excellence to the fields of business and finance, oil and gas, energy and healthcare.

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Every gift, no matter small or large, makes an impact.

Whether you choose to give back through an annual gift, establishing an endowment or or supporting a department funding priority, every dollar counts. In fact, most gifts to Rice Engineering are less than $1,000 but together they add up to millions for student awards, academics, research and programs so we can educate leaders and tackle grand challenges. If you are interested in discussing how you can make a non-cash gift such as appreciated stock, Donor Advised Fund (DAF), IRA Charitable Rollover, or through a deferred gift vehicle such as a bequest, please contact and we would love to help facilitate that donation.

About the Computational Applied Mathematics and Operations Research Department Excellence Fund

Rest assured that contributions made to the CMOR Department Excellence Fund are used in the best way possible to secure the department’s vision and support our students. These funds enable the chair to direct donations to areas of highest priority, supporting outstanding faculty and students and fostering responsibility for future engineers to achieve excellence. Examples include providing support for graduate seminars and the senior design showcase.

Give to a Memorial Fund

The CMOR memorial funds below were established with gifts from friends of the department in memory of former faculty and students and support students and student activities.

To give to one of these memorial funds now, when you visit the Give Now site, select “Other” in the dropdown menu and specify your intent.

Dr. Alan Weiser Memorial Fund for Student Excellence
Alan Weiser

Alan Weiser was born on July 16, 1955 in Houston, Texas. He received a B.A. from Rice (1976) in Mathematical Sciences and Economics and a Ph.D. from Yale (1981) in Computer Science. He worked for Exxon Production Research Co. from 1981 to 1989. He was hired as a Research Associate in the Department of Mathematical Science, CITI/STC and CRPC, and worked under the direction of Dr. Mary Wheeler from October 1989 to September 1991. Alan was also appointed part-time lecturer and taught MASC 453 in Fall 1990.

The purpose of this fund is to support students studying computational and applied mathematics in the Brown School of Engineering. Support for student travel is the first preference. The secondary purpose is to provide funding to enhance the excellence of the overall student experience, as determined by the chair of the Department of Computational Applied Mathematics & Operations Research and the dean of the George R. Brown School of Engineering.

Alan Weiser Memorial Award Recipients






Rachael Alfant

The INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023

Multi-period Capacity Allocation for Cloud Computing Systems


Bilyana Tzolova

SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS23), Bergen, Norway, June 19-22, 2023

Coupled 1D-3D Flow and Transport in Porous Media. (co-authors: Beatrice Riviere and David Fuentes)


Yimin Lin

Conference TBA

A Positivity Preserving Strategy for Entropy Stable Discontinuous Galerkin Discretizations of the Compressible Euler and Navier-Stokes equations. (co-authors: Jesse Chan and Ignacio Tomas)


Brandon Alston

The INFORMS Optimization Society Conference, Greenville, SC, March 2022

Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees


Bochuan Lyu

The INFORMS Optimization Society Conference, Greenville, SC, March 2022

Modeling Disjunctive Constraints via Junction Trees


Mae Markowski

SIAM Uncertainty Quantification Conference, Atlanta, GA, April 2022

Newton-Type Methods for Risk-Averse PDE-Constrained Optimization Problems


Eric Antley

The XV International Conference on Stochastic Programming, Trondheim, Norway, July 29-August 2, 2019

A Value Function/Global Optimization Approach to Two-Stage Integer Programs with Stochastic Right-Hand Sides


Christopher Thiele

SPE Reservoir Simulation Conference, Galveston, TX, April 10-11, 2019

Distributed Parallel Hybrid CPU-GPGPU Implementation of the Phase-Field Method for Accelerated High-Accuracy Simulations of Pore-Scale Two-Phase Flow


Jonas Actor

2018 Conference on Sparse Grids and Applications, TUM Munich, Germany, July 23-27, 2018

Exploiting Lipschitz Continuity for the Kolmogorov Superposition Theorem


Tayo Ajayi

International Symposium on Mathematical Programming, Bordeaux, France, July 1-6, 2018

Assessing Parametrized Linear Programming Relaxations with Superadditive Duality


Maurice Fabien

15th Copper Mountain Conference on Iterative Methods, Copper Mountain, CO, March 25-30, 2018

Multigrid Methods for flows in porous media


Yabin Zhang

2018 Symposium of the International Association for Boundary Element Methods, Paris, France, June 26-28, 2018

An Efficient Adaptive Solution Technique for Periodic Stokes Flow


Boris Brimkov

2017 Meeting of the International Linear Algebra Society, Ames, IA, July 24-28, 2017

Connected Zero Forcing


Jian Zhai

2017 Applied Inverse Problems conference, China, May 29-June 2, 2017

Semiclassical Analysis of Elastic Surface Waves


Caleb Magruder

2016 SIAM Annual Meeting, Boston, MA, July 11-15, 2016

Accelerating Newton's Method for Semilinear Parabolic Control Via Reduced-Order Modeling


Charles Puelz

2016 SIAM Life Sciences Meeting, Boston, MA, July 11-14, 2016

One-Dimensional Model of Blood Flow Discretized with RKDG Methods


Arturo Vargas

2016 Conference on Spectral and High Order Methods, Rio de Janeiro, Brazil, June 27-July 1, 2016

GPU Accelerated Hermite Methods for the Simulation of Waves


Rajesh Gandham

SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 13-18, 2015

High Performance High Order Numerical Method for Tsunami Wave Propagation


David Medina

SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 13-18, 2015

OCCA: An Extensible Portability Layer for Many-Core Programming: A Unified Approach to Multi-Threading Languages


Timur Takhtaganov

SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 13-18, 2015

Optimization Under Uncertainty: Application to Electrical Circuits


Jizhou Li

WCCM-ECCM-ECFD 2014 Congress, Barcelona, Spain, July 20-25, 2014

High Order Approximations of Reservoir Flows


Yangyang Xu

SIAM Conference on Optimization, San Diego, May 19-22, 2014

Parallel Matrix Factorization for Low-Rank Tensor RecoveryPolynomial and Tensor Optimization: Algorithms, Theories, and Applications


John Arellano

2013 SIAM Annual Meeting, San Diego, CA, July 8-12, 2013

Branch Decomposition Techniques for Matroid Circuit Problem


Cynthia Wood

2013 INFORMS Annual Meeting, Minneapolis, MN, October 6-9, 2013

The Minimal k-core Problem for Modeling K-Assemblies


Rami Nammour

SIAM Conference on Imaging Science (IS08), San Diego, CA, July 7-9, 2008

Optimal Scaling of Prestack Migration (with Drs. William W. Symes and Eric Dussaud)


Josef Sifuentes

2008 SIAM Annual Meeting, San Diego, CA, July 7-11, 2008

Preconditioning the Lippmann-Schwinger Equations for Scattering by Thin Structures (with Drs. Mark Embree and Shari Moskow)


Alex Mammonov

SIAM Conference on Analysis of Partial Differential Equations (PD07), Meza, AZ, December 10-12, 2007

Solving the Electrical Impedance Tomography Problem with Optimization Techniques


Ben McClosky

INFORMS Annual Meeting, Seattle, WA, November 2-7, 2007

The Co-2-plex Polytope (with Dr. Illya V. Hicks)

A Computational Study of the Maximum Co-2-plex Problem (with Drs. Illya V. Hicks and Balabhaskar Balasundaram)


Kai Sun

IEEE/ACM 2007 Int'l Conference on Computer Aided Design (ICCAD '07), November 5-8, 2007

Parallel Domain Decomposition for Simulation of Large Scale Power Grids (with Dr.Danny C. Sorensen)

Jennifer Joyce Young Memorial Fund
Jennifer Joyce Young

Donations are used to support educational and outreach activities in the Department of Computational Applied Mathematics & Operations Research that were important to Jennifer Joyce, as determined by the chair of the department.

Jennifer's parents, Mike and Marina Joyce, are the generous donors who initiated the Jennifer Joyce Young Memorial Fund in CAAM to support CAAM outreach activities in which Jennifer was so deeply involved. These funds have been used to support the Worthing Rice Apprentice Program (WRAP) and the Summer Math Days. The WRAP challenges students from Worthing High School to learn by learning how the brain learns, and delivers a hands-on introduction and integration of mathematics, biology, electronics, and computer programming. The Summer Math Days started in 2009 and is a 3-4 day summer program for high school students entering grades 10-12. The next Summer Math Days are planned for 2017. While at Rice, Jennifer's contributions were instrumental in both activities. Jennifer was a Pfeiffer Postdoctoral Instructor (PPI) and the Jennifer Joyce Young Memorial Fund also provides travel funds to PPIs to give research talks at national conferences.


To donate to the Jennifer Joyce Young Memorial Fund in CAAM, send a check payable to Rice University to:

Department of Computational Applied Mathematics & Operations Research
Rice University
6100 Main — MS 134
Houston, TX 77005

Include "Jennifer Joyce Young Memorial Fund" on the check.

Michael Pearlman Memorial Award
Michael Pearlman

Michael Pearlman, a 22-year member of the Rice community, passed away on Monday, August 13, 2001. Michael was the System Administrator for both the pepartments of Computational Applied Mathematics & Operations Research and Statistics. Besides his technical expertise, he was a revered individual whose technical knowledge and warm personality were an invaluable asset to the community.

In 2002, an endowment fund was established in Michael Pearlman's name through the generous gifts of many people who knew and loved him. A multi-departmental committee decided to establish The Michael Pearlman Memorial Award. The purpose of the award is to recognize graduate students, staff and faculty at Rice for their extraordinary service and contributions in improving the infrastructure and general support for the Rice computational engineering research and education missions.


For those wishing to donate money to this fund in honor of Michael Pearlman's memory, please make checks payable to Rice University and designate "Michael Pearlman Memorial Fund."

Please send checks to:

Pearlman Memorial Fund
Department of Computational Applied Mathematics & Operations Research
Rice University
6100 Main St - MS 134
Houston, TX 77005