DATA SCIENCE AND MACHINE LEARNING SEMINAR SERIES
Department of Mathematical Sciences, Purdue University Fort Wayne

Organizer:
Prof. Alessandro Maria Selvitella

The Data Science and Machine Learning Seminar takes place tentatively every Thursday from 3pm to 3:45pm in Kettler Hall, Room KT 218.

The talks will last 30 minutes and will be followed by 15 minutes of questions, brainstorming, open discussion on the theme of the seminar.
Fall Term 2020
Date Room Speaker Title
2nd Sept. 2020, 6pm KT 216 Jemila Hamid Multivariate Growth Curve Models and Bilinear Regression: An Overview
8th Sept. 2020, 6pm KT 216 Tanya Soule COVID-19 Testing
22nd Sept. 2020, 6pm KT 216 Mayor Tom Henry Leading During a Pandemic
29th Sept. 2020, 6pm KT 216 Nicholas P. Jewell Statistics and Epidemics: COVID-19's lessons on myths and public health mobilization
6th Oct. 2020, 6pm KT 216 Daisuke Kihara Deep learning for determining 3D structures of biomolecules
12th Oct. 2020, 6pm KT 216 Matthew Sutter TBA
15th Oct. 2020, 6pm IDEA Space Jeffrey Pomerantz Introduction to Metadata for Deep Learning
21st Oct. 2020, 6pm KT 216 James Zou TBA
3rd Nov. 2020, 6pm KT 216 Daniel Coombs Real-time modelling during the COVID-19 epidemic
18th Nov. 2020, 6pm KT 216 Russell Greiner TBA
Spring Term 2020
Date Room Speaker Title
4th Feb. 2020, 3pm KT 218 Alessandro Selvitella Introduction to Deep Learning
14th Feb. 2020, 12pm KT 218 Justin Asher The Brain Age Problem I
20th Feb. 2020, 3pm KT 218 Amal Khalifa Deep Steganography
27th Feb. 2020 - No Seminar -
5th Mar. 2020
12th Mar. 2020 - Spring Break -
19th Mar. 2020 KT 218 Andrew Downs Elections and Data Science
26th Mar. 2020
2nd Apr. 2020, 3pm
9th Apr. 2020
16th Apr. 2020
23rd Apr. 2020, 3pm Daisuke Kihara Computational Biology
30th Apr. 2020, 3pm Linh Le Deep Learning for Wireless Communication
7th May 2020, 3pm Kathleen Foster Deep Lab Cut
14th May 2020, 3pm Alessandro Selvitella The Protein Folding Problem
Last updated: February 24th, 2020