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During the week of Oct. 30 to Nov. 3, the Department of Computer Science at CU Boulder is hosting several virtual visit days for prospective students who want to learn more about the various research groups within the department.
Take this opportunity to virtually meet with the faculty in your area of interest, interact with them and get your questions answered!
Computational Biology
When: Monday, Oct. 30, from noon to 1:15 p.m. MT
Computational biology involves foundational research in core areas of systems biology, sequence analysis, complex networks, bioinformatics and evolutionary biology. Included in this session are Aaron Clauset, Dan Larremore, Ryan Layer and Orit Peleg.
Computational Science and Engineering
When: Tuesday, Nov 7, at 1 p.m. MT
Our work in numerical and scientific computing involves the development, analysis, and execution of foundational computational algorithms to enable fast, high-fidelity, and large-scale modeling of real-world phenomena. Included in this session are Jed Brown and Abtin Rahimian.
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Emotive Computing Lab (Sidney D'Mello)
When: Monday, Oct. 30, from 4 to 5 p.m. MT
We an interdisciplinary research team of computer scientists, cognitive scientists, and psychologists who investigate the complex interplay between thoughts and feelings while people perform complex real-world tasks. We uses these insights to develop intelligent technologies that help people accomplish great things by coordinating what they think and feel along with what they know and do.
Our research blends scientific and engineering goals by focusing on: (1) basic research on mental states during complex learning and problem solving; (2) computational modeling of mental states using computer vision, gaze tracking, speech and language processing, psychophysiology, and machine learning; (3) developing intelligent technologies that sense and adapt to mental states.
Check out our projects here.
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Programming Languages and Verification
The CU programming languages and verification (CUPLV) group researches basic questions in programming language design, software verification, and cyber-physical system verification. Our work is both highly practical in nature, where we implement the systems that we design, and highly theoretical in nature, where we use mathematical and logical models to capture and reason about real systems. For more information, see our homepage, here: http://plv.colorado.edu/
Day: Friday, Nov 3
Time: 2pm MT—3pm MT
Human-Centered Computing
Human-centered computing focuses on research related to designing and critically assessing technologies to support the needs of real people. Topics covered include user-centered design, information visualization, universally accessible design, and computer-supported cooperative work. For more information, please see http://hcc.colorado.edu/
Date – Friday, November 10th 2017
Time – 11 am – 12 pm
Theoretical Computer Science
The theory group studies foundational questions of algorithmic design and the limits of computation, as well as connections to other disciplines such as statistics, biology, physics, and economics. Included in the session are Rafael Frongillo, Joshua Grochow, and Alexandra Kolla.
Natural Language Processing and Computational Social Science
When: Friday, Nov. 3, from 3-5 p.m. (Prof. Palmer will be there from 3-4, Prof. Tan will be there from 4-5)
Our NLP group, including Mans Hulden, Jim Martin, Martha Palmer and Chenhao Tan, works on a wide range of areas involving natural language, ranging from computational semantics that uncovers the meaning of words and sentences, to pragmatics that investigates how humans use language in social interactions. The latter also connects with a broad, vibrant community interested in computational social science to study human behavior at Boulder, including Jed Brubaker, Aaron Clauset, Casey Fiesler, Brian Keegan, Dan Larremore, Leysia Palen, Michael Paul and many more.
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Artificial Intelligence and Robotics
When: Monday, Nov. 6, from 12:00pm – 1:00pm MT.
The Collaborative Artificial Intelligence and Robotics Lab conducts research to develop interactive, adaptive, and socially intelligent collaborative robots designed to safely and intuitively learn from, work with, and support human teammates. Our work exists at the intersections of Artificial Intelligence, Machine Learning, Robotics, Cognitive Science, and Psychology, enabling humans and robots to work together to accomplish what neither can do alone.
The session will be led by Brad Hayes.
Sumner Lab
Our lab focuses on interdisciplinary research and development that studies how computational tools - combining cognitive science, machine intelligence, and interactive media - can improve teaching practice, learning outcomes and learner engagement.
When: Monday, Nov. 6, from 2-3 p.m. MT
Here are the details for joining a virtual session with Sumner Lab folks.