GVU Brown Bag, 2023 Doctoral Dissertation Research Lightning Talks
How, When, and Should Robots Deceive Humans?
Kantwon Rogers is a fifth-year PhD student (advised by Ayanna Howard) and has also served as an instructor for the undergraduate introduction to Matlab course for the past six years. His interests include human-computer/robot interaction, teaching, and baking cupcakes.
Building and Evaluating Controllable Models for Text Simplification
Mounica Maddela is a sixth-year PhD student advised by Wei Xu. Her broad interests are natural language processing and machine learning with focus on natural language generation.
Guidance Communication in Mixed-Initiative Visual Analytics
Arpit Narechania is a fourth-year Computer Science PhD student, advised by Alex Endert. He loves to apply techniques from information visualization, visual analytics and human-computer interaction to design systems that help users interact with and make sense of their data; these users span automobile engineers, digital marketers, database engineers, data scientists, and most recently geographic information system experts.
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings
Zhiyu Lin is a sixth year PhD student advised by Mark Riedl. His interests lie in machine learning techniques to procedurally generate user-aware interactive experiences and the user experience revolving around it, i.e., the human-machine interface that stimulates mixed-initiative/co-creativity applications.
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EVENTS BY SCHOOL & CENTER
School of Computational Science and Engineering
School of Interactive Computing
School of Cybersecurity and Privacy
Algorithms and Randomness Center (ARC)
Center for 21st Century Universities (C21U)
Center for Deliberate Innovation (CDI)
Center for Experimental Research in Computer Systems (CERCS)
Center for Research into Novel Computing Hierarchies (CRNCH)
Constellations Center for Equity in Computing
Institute for People and Technology (IPAT)
Institute for Robotics and Intelligent Machines (IRIM)
Institute for Data Engineering and Science (IDEaS)