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. Perouli.

Colloquium dates and speakers for Fall 2018 - Unless specified, the talks will begin at 2:00pm CT in Room 401 at Cudahy Hall.


September 21th at 2:00 - Michael Zimmer, School of Information Studies, University of Wisconsin - Milwaukee, Pervasive Data Ethics for Computational Research

October 5th at 2:00 - Jenna Tague, Department of Mathematics, Fresno State University, Where Do Rate of Change Understandings Begin?

October 11th at 2:00 - Daniel Gervini, Department of Mathematical Sciences, University of Wisconsin - Milwaukee, Functional Data Methods for Replicated Point Processes

Otctober 26th at 2:00 - Debaleena Chattopadhyay, Department of Computer Science, University of Illinois - Chicago, Designing Beyong the Desktop Technologies for Older Adults

November 9th at 2:00 - Noah Schweber, Department of Mathematics, University of Wisconsin - Madison, Cardinal Characteristics and Computability

November 16th at 2:00 - Banabithi Bose, Md Kamrul Hasan and Xuyong Yu, Department of Mathematics, Statistics, and Computer Science, Marquette University, miRNAdriver: Copy Number Derived microRNA-Gene Interactions in Cancer, Develop a Novel Feature Extraction Techniques for the Fingertip Videos and Apply Artificial Neural Network to Build Hemoglobin Prediction Model and A Kolmogorov-Smirnov Based Test using FFT to Evaluate Electrode-tissue Contact Force.

November 30th at 2:00 - Yichao Wu, Department of Mathematics, Statistics, and Computer Science, University of Illinois - Chicago, Nonparametric estimation of multivariate mixtures

December 7th at 2:00 - Andrew Brown, Department of Mathematical Sciences, Clemson University, Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging








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