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Thursday, April 11th, 2024
Thursday, April 11th
All Day
  • Location: FAC Gallery
  • Time: All Day

Spring 2024 BFA Thesis Exhibition

  • Location: COHH 4123
  • Time: 4:15pm

More details to follow!

  • Location: The Capitol Arts Center (416 E Main Ave.)
  • Time: 6:30pm
The cultural roots of coal permeate the rituals of daily life in Appalachia, even as its economic power wanes. The journey of a coal miner's daughter reveals the region's dreams and myths.
Free tickets are available at capitolbg.org. After the screening, a Q&A with filmmakers will be offered.
All Day
  • Location: Snell Hall 1102 & Ogden College Hall 1006
  • Time: All Day

You are cordially invited to the Third Annual Data Science Day on Thursday, April 11, sponsored by the WKU Applied Center for Data Science and the Applied Research Technology Program.  There will be a plenary talk delivered by Dr. Mahdi Yazdanpour of Northern Kentucky University from 4:15-5:15 PM in Ogden College Auditorium room 1006.  Dr. Yazdanpour will talk about how the human brain can directly interface with electromechanical devices through the use of deep-learning algorithms.

There wlll also be industrial and student presentations from 1:40-4:00 PM in Snell Hall room 1102.  Presenters from industry and government are Beth Rogers, a Senior Manager of Data Science at Bath & Body Works; JC Watkins from the Kentucky APEX Accelerator and the Kentucky Science & Technology Corporation; Data4All Podcaster Charlie Yielding; and WKU alum Cameron White, Dollar General Corp.  Beth Rogers will describe her career path which includes moving from a top marine biology lab to a brain imaging research center to a cave research program to a leader in corporate industry.  JC Watkins will present on post-graduation opportunities for data scientists across various industries, the federal government and with firms that service departments of the government.  Charlie Yielding will talk about helping companies operationalize with AI.  Cameron White will talk about what experienced data scientists do if their data set is not large and comprehensive or there is too much data.

The students presentations are by graduate students Nima Esmaeilzadeh and Shake Ibna Abir, Gatton Academy students Luna Asbell and Katie Isaacs, and undergraduates Jack Galloway and Cheyla Ferguson.  Galloway and Ferguson are supported on Undergraduate Student in Data Science grants from the Applied Center for Data Science.

The schedule, including presentation abstracts, can be found at https://www.wku.edu/artp/data_science_day_2024.php

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 Last Modified 6/27/22