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. Hamilton.

Colloquium dates and speakers for Fall 2016 - Unless specified, the talks will begin at 1:00pm CT in Room 401 at Cudahy Hall.


August 29th at 1:00 - Mohammad Kaykobad, Bangladesh University of Engineering and Technology: Majority Spanning Trees, Cotrees and Their Applications

September 9th at 1:00 - Christopher Stocker, MSCS Department, Marquette University, Acyclic Colorings of Graphs

September 16th at 1:00 - M. Reza Meshkani,Department of Statistics, Shahid Beheshti University, A Correlated Frailty Model for Analyzing Risk Factors in Bilateral Corneal Graft Rejection for Keratoconus: A Bayesian Approach

September 23rd at 1:00 - Jacob Noparstak, MSCS Department, Marquette University, A Beginner's Guide to Teichmüller Space

September 30th at 1:00 - Thomas Schwarz, MSCS Department, Marquette University, Triple failure tolerant storage systems using only exclusive-OR parity calculations

October 7th at 1:00 - Dr. Dana Tudorascu, Department of Medicine, University of Pittsburgh, Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging Platforms

October 14th at 1:00 - Brittany Baur and Duc Do, MSCS Department, Marquette University, A computational approach to identify copy number drivers and associated disrupted biological processes in cancer and Building competitive endogenous RNA networks in breast cancer

October 28th at 1:00 - Bart Miller, Department of Computer Science, University of Wisconsin-Madison, Why Johnny and Janie Can’t Code Safely: Bringing Software Assurance to the Masses

November 4th at 1:00 - Emily Paulson and Drew Williams, MSCS Department, Marquette University

November 11th at 1:00 -David Walmsley, Bowling Green State University

November 18th at 1:00 - Md Manzur Farazi and Dayeong An, MSCS Department, Marquette University

December 2nd at 1:00 - TBD

December 9th at 1:00 - TBD



Summer Research Experience

The Department of Mathematics, Statistics and Computer Science hosts a Summer Research Experience (REU) for Undergraduates. This program provides 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