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October 23, 2019, Wednesday.
Speaker: Bert Huang, Virginia Tech
Title: Surviving the Growing Data Cost of Machine Learning
Location & Time: DMTI 117, 12:30-1:15 Lunch, 1:15-2:15 Talk.
Topic: Machine Learning
April 15, 2019, Monday.
Speaker: Tom Goldstein, University of Maryland, College Park
Title: A theoretical look at adversarial example: a perspective from high-dimensional geometry
Location & Time: DMTI 111, 12:30-1:15 Lunch, 1:15-2:15 Talk.
Topic: Machine Learning
March 25th, 2019, Monday.
Speaker: Jason Fischer, Assistant Professor of Neuroscience, John Hopkins University.
Title: Intuitive physics: building a mental model of how the world behaves
Location & Time: DMTI 111, 12:30-1:15 Lunch, 1:15-2:15 Talk.
Topic: fMRI, Psychophysics, Computational Modeling
Feb 25th, 2019, Monday.
Speaker: Braxton Boren, Assistant Professor of Audio Technology, American University.
Title: Computer Simulation of Past Soundscapes
Location & Time: DMTI 111, 12:30-1:15 Lunch, 1:15-2:15 Talk.
Topic: Auditory Scene Analysis; Applied Acoustics
Feb 11th, 2019, Monday.
Speaker: Perry Zurn (AU philosophy) and David Lydon-Staley (Upenn Bio-engineering)
Title:Hunters, busybodies, and the role of deprivation-type curiosity in knowledge network building
Location & Time: DMTI 111, 12:30-1:15 Lunch, 1:15-2:15 Talk.
Topic: Curiosity; Network analysis
Feb 4th, 2019, Monday.
Speaker: Soheil Feizi, Professor of Computer Science, University of Maryland, College Park.
Title: GANs meet VAEs: Towards a Comprehensive Understanding of Generative Models
Location & Time: DMTI 111, 12:30-1:15 Lunch, 1:15-2:15 Talk.
Topic: Machine learning
November 1, 2018, Thursday
Speaker: Nathalie Japkowicz, Professor and Chair of Computer Science, American University
Title : Toward a Lifelong Self-Adaptive Monitoring System
location & Time: DMTI 111 2:30-3:30pm
Topic: Machine learning, Data Mining
November 5, 2018, Monday
Speaker: Ting Hua, Postdocal Fellow, Department of Computer Science, John Hopkins University
Title : Take Bayesian probability into Deep Learning
Location & Time: DMTI 111 2:30-3:30pm
Topic: Machine learning, NLP
November 8 , 2018, Thursday
Speaker: John Dickerson, Assistant Professor , Department of Computer Science, University of Maryland
Title : Using Optimization to Balance Fairness and Efficiency in Kidney Exchange
Location & Time: DMTI 111 2:30-3:30pm
Topic: Data Science, AI, Applications in health care
November 12, 2018, Monday
Speaker: Simone Leonard, Assistant Research Professor of Computer Science, John Hopkins University
Title : From Teleoperation to Automation: Improving Surgical Outcomes With A Robot That is Aware of Waht it Can/Cannot Do Better Than A Human Surgeon
Location & Time: DMTI 219 2:30-3:30pm
Topic: Robotics
November 18th, 2018, Monday
Speaker: Mike Treanor, Assistant Professor of Computer Science, American University
Title: Computer Science and Games: How Computational Models Help Us Understand and Create Meaningful Games
Location & Time: DMTI 219 2:30-3:30pm
Topic: Game AI
November 26th, 2018, Monday
Speaker: Hamed Pirsiavash, Assistant Professor of Computer Science and Electric Engineering, UMBC
Title: Self-supervised learning for visual recognition
Location& Time: DMIT 219 2:30-3:30pm
Topic: Computer Vision
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