Student on computer

 

Colloquium talks will be held in the Katharine Reed Cudahy Building, Room 401 on the Marquette University campus. Please address inquiries/suggestions to Dr. Rong Ge.

Colloquium dates and speakers for Spring 2014 - Friday, 3:00 p.m. with pre-colloquium refreshments at 2:30 p.m. (unless otherwise noted)


January 10 at 1:00 – Sarah Hamilton, University of Helsinki:  Inverse Problems in Medical Imaging: Introduction to Electrical Impedance Tomography

January 17 at 1:00– Pablo Seleson, Institute for Computational Engineering and Sciences,University of Texas at Austin: Multiscale Material Modeling with Mesoscopic Models

January 27 (M) at 1:00 – Feng Chen, , Division of Applied Mathematics, Brown University: GPU Spectral Method and Stable Parareal method for Large-scale Problems in Computational Science

February 7– Anindya Bhadra, Dept. Statistics, Purdue University: High-Dimensional Joint Bayesian Variable and Covariance Selection: Applications in eQTL Analysis and Cancer Genomics

February 21 Stephen S. Yau, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University: Human Factors in Trustworthy Intelligent Service-based Systems

March 7 – David Dahl, Dept. Statistics, Brigham Young University

March 21 – Tamer Kahveci, Dept. Computer and Information Science and Engineering, University of Florida: : Biological Networks: Challenges, Solutions, and Opportunities

March 27 (Th) at 3:00 – Melanie Wood, Dept. Mathematics, University of Wisconsin-Madison: The Chemistry of Primes

 

April 4 Yao Zhang, Argonne National Laboratory:

Rapid, Automated Computer Architecture Exploration for Full-Scale Applications

April 11 – Santosh Kumar, Department of Computer Science, University of Memphis: Computational Modeling of Human Behaviors from Mobile Sensors.

April 15 (Tu) at 3:00 in David Straz 105 -- Cricket Liu, Vice President of Architecture at Infoblox: DNS Security: Threats and Solutions.

April 25 - Syed Kirmani, Dept. Mathematics, Northern Iowa University

 



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Summer 2013 Research Experience

The Department of Mathematics, Statistics and Computer Science hosted the NSF-funded Summer 2013 Research Experience (REU) for Undergraduates. This program provides U.S. undergraduates with an intensive, faculty-mentored, summer research experience in the areas of applied mathematics, high-performance computing, statistics, ubiquitous systems and mathematics education. Learn more