Seminar

2020 Fall Virtual Seminar Schedule

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https://utsa.zoom.us/j/91697442816
Meeting ID: 916 9744 2816

Date/Time Speaker Affiliation Seminar Title Host Seminar Recording
 9/18/2020

 

2 p.m.-3 p.m.

 Dr. Albert Bartok-Partay, Assistant Professor The University of Warwick, UK. School of Engineering / Department of Physics Learning atomistic interactions from quantum mechanical observables Dr. Wei Gao Recorded Video
10/02/2020

 

2 p.m.-3 p.m.

Dr. Philip V. Bayly Department Chair & The Lee Hunter Distinguished Professor Washington University in Saint Louis, McKelvey School of Engineering The Brain in Motion: Visualizing Brain Biomechanics and Understanding Traumatic Brain Injury Dr. Hai-Chao Han Recorded  video
10/9/2020

 

2 p.m.-3 p.m.

JT Heineck, Physical Scientist NASA Ames Research Center, Experimental Aero-physics Branch The Digital Image: The 25 year boon to aerospace measurements Dr. Christopher Combs       Not recorded
October 16, 2020, 1:00pm  Dr. Ana Stevanovic, Scientific Director Kleber Advanced Microscopy Center, UTSA Introduction to the Kleberg Advanced Microscopy Center  (KAMC) Dr. Harry Millwater       Recorded video
10/23/2020

 

1 p.m.-2 p.m.

Dr. Lyle E. Levine, Project Leader National Institute of Standards and Technology, Material Measurement Laboratory Building parts by welding millions of little bits of metal together: what could possibly go wrong? Dr. Harry Millwater Recorded video
11/6/2020
2 p.m
Dr. Jen Locke , Assistant Professor The Ohio State University, Department of Materials Science and Engineering and the Fontana Corrosion Center Quantifying and Understanding the Impact of Metallurgical Changes on Corrosion Fatigue and Stress Corrosion Cracking of Aluminum Alloys Dr.Brendy Rincon Troconis  
11/13/2020 10:00 am Robert X. Gao, Ph.D. Department Chair Cady Staley Professor of Engineering Case Western Reserve University, Department of Mechanical and Aerospace Engineering Process-Embedded Sensing and Machine Learning for Smart Manufacturing Dr. Hai-Chao Han  
11/20/2020

 

2 p.m.-3 p.m.

Dr. Daniel Apley, Professor Northwestern University, McCormick School of Engineering Explainable Machine Learning: Understanding the Effects of Predictor Variables Dr. Adel Alaeddini  
 
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