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Week 4 of August: August 18 - 24, 2019
 
 
Monday, Aug 19
Dissertation Defense: Liquid Chromatography Stationary Phases Made Using the Thiol-yne Reaction
By: Erin Shields , Chemistry, University of Pittsburgh   at: 2:00 PM - 3:00 PM
Location: Chevron Science Center, 266
Automatically Supervised Learning: Two more steps on a long journey
By: ERIK LEARNED-MILLER , Professor of Computer Science, College of Information and Computer Sciences, University of Massachusetts Amherst   at: 3:00 PM - 4:00 PM
Location: Gates Hillman Centers, Traffic21 Classroom 6501
Series: Vision and Autonomous Systems Seminar
Thesis Defense: Example-Driven Question Answering
By: Di Wang , Ph.D. Student, Language Technologies Institute, Carnegie Mellon University   at: 3:30 PM - 4:30 PM
Location: Newell-Simon Hall, 1109
 
 
Tuesday, Aug 20
Acute and Chronic Pancreatitis
By: Rohit Das , MD, Assistant Professor of Medicine   at: 7:30 AM - 8:30 AM
Location: GI Administrative Office M2 Conference Room
Series: GI State of the Art Lecture Series
Thesis Defense: Exploiting Point Motion, Shape Deformation, and Semantic Priors for Dynamic 3D Reconstruction in the Wild
By: MINH PHUOC VO , Ph.D. Student, Robotics Institute, Carnegie Mellon University   at: 10:00 AM - 11:00 AM
Location: Newell-Simon Hall, 3002
Thesis Defense: Learning and Reasoning with Visual Correspondence in Time
By: Xiaolong Wang , Ph.D. Student, Robotics Institute, Carnegie Mellon University   at: 1:00 PM - 2:00 PM
Location: Newell-Simon Hall, 3002
Dissertation Defense: Allele-Specific Engineering of Methyllysine Writers and Readers for Controlling Chromatin-Dependent Processes
By: Simran Arora , University of Pittsburgh   at: 3:00 PM - 4:00 PM
Location: Eberly Hall, 307
 
 
Wednesday, Aug 21
Security and Privacy Guarantees in Machine Learning with Differential Privacy
By: ROXANA GEAMBASU , Associate Professor, Computer Science Department, Columbia University   at: 12:00 PM - 1:00 PM
Location: Robert Mehrabian Collaborative Innovation Center, Panther Hollow Conference Room 4101
Series: CyLab Distinguished Seminars
SDI/ISTC Seminar Series
Use-Case 2.0: The Hub of Modern Software Development  Video Link
By: Ivar Jacobson, PhD , Founder and Chairman, Ivar Jacobson International   at: 12:00 PM - 1:00 PM
Location: Online - Webinar
Series: ACM Learning Webinars
Adversarial AI, from Models to Practice
By: Yevgeniy Vorobeychik , Associate Professor, Computer Science & Engineering, Washington University in St. Louis   at: 2:00 PM - 3:00 PM
Location: Gates Hillman Centers, 4215
Series: ISR Seminar
Dissertation Defense: Motivation to Provide Care to Patients with At-risk Alcohol and Opioid Use: A Focus on Nursing Professionals
By: Khadejah Mahmoud , University of Pittsburgh   at: 2:00 PM - 4:00 PM
Location: Victoria Hall, Room 451
 
 
Thursday, Aug 22
Thesis Defense: Automated Program Transformation for Improving Software Quality
By: RIJNARD VAN TONDER , Ph.D. Student, Ph.D. Program in Software Engineering, Institute for Software Research, Carnegie Mellon University   at: 10:00 AM - 11:00 AM
Location: Gates Hillman Centers, 9115
You can't think outside the box if you're locked inside it
By: Charlene Le Fauve, Ph.D. , National Institutes of Health Bethesda, MD   at: 12:00 PM - 1:00 PM
Location: Online - Webinar
4
bookmarks
Dissertation Defense: Controllability and Explainability in a Hybrid Social Recommender System
By: Chun-Hua Tsai , School of Computing and Information   at: 1:00 PM - 3:00 PM
Location: Information Sciences Building, Room 828
Thesis Proposal: Learning User Latent Attributes on Social Media
By: BINXUAN HUANG , Societal Computing Ph.D. Candidate, Ph.D. Program in Societal Computing, Institute for Software Research, Carnegie Mellon University   at: 2:00 PM - 3:00 PM
Location: Wean Hall, 4220
 
 
Friday, Aug 23
GERD & Dysphagia
By: Kenneth Fasanella , MD, Assistant Professor of Medicine and Program Director, GI Fellowship Program   at: 7:30 AM - 8:30 AM
Location: GI Administrative Office M2 Conference Room
Series: GI State of the Art Lecture Series
Thesis Proposal: Human-efficient Discovery of Training Data for Visual Machine Learning
By: ZIQIANG (Edmund) FENG , Ph.D. Student, Computer Science Department, Carnegie Mellon University   at: 2:00 PM - 3:00 PM
Location: Gates Hillman Centers, 8102
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