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. Academic Year 2021-2022

Date	Room	Speaker	Title
29th Sept. 2021, 1:30pm	KT 216	Alessandro Maria Selvitella	What is Data Science?
6th Oct. 2021, 1:30pm	KT 216	Liliya Frolova	Development of novel antibacterial and anticancer scaffolds based on natural compounds
13th Oct. 2021, 1:30pm	KT 216	Christer Watson	Astronomy surveys of the Milky Way Galaxy, data science and wind-blown bubbles
30th Nov. 2021, 6:00pm	KT G45	Louis Cammarata & Adit Radhakrishnan	TBA
1st Dec. 2021, 12pm	KT 216	Suvra Pal	Integrating Support Vector Machine with Cure Rate Model and EM-based Inference
1st Dec. 2021, 1:30pm	KT 216	Marta Blangiardo	Spatial and spatio-temporal models in the time of COVID-19
1st Dec. 2021, 6pm	KT 216	Yuguo Chen	TBA
2nd Dec. 2021, 12pm	KT G46	Fotios Milienos	Cure models: re-parametrization of a flexible family

Academic Year 2020-2021

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	What the h@!! is going on with COVID-19 in the community?
15th Oct. 2020, 6pm	IDEA Space	Jeffrey Pomerantz	Introduction to Metadata for Deep Learning
21st Oct. 2020, 6pm	KT 216	James Zou	Real-time modelling during the COVID-19 epidemic
3rd Nov. 2020, 6pm	KT 216	Daniel Coombs	Real-time modelling during the COVID-19 epidemic
18th Nov. 2020, 6pm	KT 216	Russell Greiner	Characterizing the Dynamic of COVID-19 with a New Epidemic Model
30th Nov. 2020, 13:30pm	KT 216	Bin Yu	Veridical data science: the practice of responsible data analysis and decision making
30th Nov. 2020, 6pm	KT 216	Narayanaswamy Balakrishnan	Dimension Reduction and Variable Selection for High-Dimensional Multivariate Linear Regression
1st Dec. 2020, 6pm	KT 216	Victor Patrangenaru	Vision Data Science
2nd Dec. 2020, 6pm	KT 216	Grace Yi	Making Sense of Noisy Data: Why and How?
19th Jan. 2021, 6pm	KT 220	Grace Yi	Characterizing the Dynamic of COVID-19 with a New Epidemic Model
2nd Feb. 2021, 6pm	KT 220	Bryan Wilder	Understanding and tracking COVID-19 outbreaks with Bayesian inference
23rd Feb. 2021, 3pm	KT 218	Tao Hu	TBA
18th Mar. 2021, 6pm	KT 220	Zhilan Feng	Staggered Release Policies for COVID-19 Control: Costs and Benefits of Relaxing Restrictions by Age and Risk
30th Mar. 2021, 6pm	KT 220	Sarah P. Otto	SARS-CoV-2 Evolution

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