Memorial Funds

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

Dr. Alan Weiser Memorial Fund for Student Excellence

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

AWARDED	STUDENT	TALK INFORMATION	TALK TITLE
2023	Rachael Alfant	The INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023	Multi-period Capacity Allocation for Cloud Computing Systems
2023	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)
2023	Yimin Lin	International Conference on Spectral and High order Methods (ICOSAHOM 2023), Seoul, Korea, August 14-18, 2023;	Limiting Techniques for High Order, Entropy Stable, and Positivity-preserving Discontinuous Galerkin Discretizations.(co-author: Jesse Chan)
2022	Brandon Alston	The INFORMS Optimization Society Conference, Greenville, SC, March 2022	Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification Trees
2022	Bochuan Lyu	The INFORMS Optimization Society Conference, Greenville, SC, March 2022	Modeling Disjunctive Constraints via Junction Trees
2022	Mae Markowski	SIAM Uncertainty Quantification Conference, Atlanta, GA, April 2022	Newton-Type Methods for Risk-Averse PDE-Constrained Optimization Problems
2019	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
2019	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
2018	Jonas Actor	2018 Conference on Sparse Grids and Applications, TUM Munich, Germany, July 23-27, 2018	Exploiting Lipschitz Continuity for the Kolmogorov Superposition Theorem
2018	Tayo Ajayi	International Symposium on Mathematical Programming, Bordeaux, France, July 1-6, 2018	Assessing Parametrized Linear Programming Relaxations with Superadditive Duality
2018	Maurice Fabien	15th Copper Mountain Conference on Iterative Methods, Copper Mountain, CO, March 25-30, 2018	Multigrid Methods for flows in porous media
2018	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
2017	Boris Brimkov	2017 Meeting of the International Linear Algebra Society, Ames, IA, July 24-28, 2017	Connected Zero Forcing
2017	Jian Zhai	2017 Applied Inverse Problems conference, China, May 29-June 2, 2017	Semiclassical Analysis of Elastic Surface Waves
2016	Caleb Magruder	2016 SIAM Annual Meeting, Boston, MA, July 11-15, 2016	Accelerating Newton's Method for Semilinear Parabolic Control Via Reduced-Order Modeling
2016	Charles Puelz	2016 SIAM Life Sciences Meeting, Boston, MA, July 11-14, 2016	One-Dimensional Model of Blood Flow Discretized with RKDG Methods
2016	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
2015	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
2015	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
2015	Timur Takhtaganov	SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 13-18, 2015	Optimization Under Uncertainty: Application to Electrical Circuits
2014	Jizhou Li	WCCM-ECCM-ECFD 2014 Congress, Barcelona, Spain, July 20-25, 2014	High Order Approximations of Reservoir Flows
2014	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
2013	John Arellano	2013 SIAM Annual Meeting, San Diego, CA, July 8-12, 2013	Branch Decomposition Techniques for Matroid Circuit Problem
2013	Cynthia Wood	2013 INFORMS Annual Meeting, Minneapolis, MN, October 6-9, 2013	The Minimal k-core Problem for Modeling K-Assemblies
2008	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)
2008	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)
2007	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
2007	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)
2007	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

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.

Donate

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, 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.

Donate

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