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. Rowe.

Colloquium dates and speakers for Fall 2017 - Unless specified, the talks will begin at 3:30pm CT in Room 401 at Cudahy Hall.


October 5th at 3:30 - Md. Kamrul Hasan & Md Fitrat Hossain, MSCS Department, Marquette University,Smartphone-based Hemoglobin Level Measurement Using Chromatic Analysis of Fingertip Videos on Different Color Spaces and Exploration of a Data Science Methodology to Predict High Risk Behavior for Veterans

October 12th at 3:30 - Dr. Robert Barry, Martinos Center for Biomedical Imaging, Harvard University, Neuroimaging of Brain and Spinal Cord at Ultra-High Magnetic Fields

October 20th at 1:00 - Dr. Hiroyuki Sato (Special Colloquium), Information Technology Center, University of Tokyo, Higher Dimension Topological data analysis: Exploration into Flexible Applications to Real Scenarios

October 26th at 3:30 - Md. Manzur Farazi & Jiblal Upadhya, MSCS Department, Marquette University, The Flase Discovery and False Non-Discovery Rate in Correlated Tests and Spatio-temporal modeling of small patches/region of Greenland Ice-sheet(GrIS)

November 9th at 3:30 - Dr. Brooke Magnus, Psychology Department, Marquette University, Modeling Questionnaire Data when the Responses are Counts

November 16th at 3:30 - Dr. Andrew D. Hahn, Department of Medical Physics, University of Wisconsin - Madison, Applications in MRI of Pulmonary Structure and Function

November 30th at 3:30 - Dr. Elaine Spiller, MSCS Department, Marquette University, Short-term probabilistic hazard mapping -- forecasting catastrophe without stationary assumptions

December 7th at 3:30 - Duc Do & Emily White, MSCS Department, Marquette University, Identification of functional MiRNA-Transcription factor-Target gene modules in cancer and Modeling Protein Aggregation Concentration in Saccharomyces cerevisiae




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