University of Minnesota
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What is it?
The Graduate Research and Discussion Seminars (GRaDS) are student-organized lunch talks open to CS graduate students in any area.
Students speak at GRaDS to practice for conference or job talks, inform their fellow students on their research, or simply build their presentation skills.
As a more informal venue than most, GRaDS is a great resource for students to practice important talks and get feedback from their peers.
It also allows the graduate student body to remain informed about the research going on in other labs at UMN.
GRaDS is held biweekly on Fridays, announced on the
Students (used to, before COVID-19) gather in Keller Hall 2-212 for a catered lunch and an hour of presentation.
Want to participate?
List of previous GRaDS talks
Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance (2021-04-23)
by Jungseok Hong.
Exploring User Engagement In An Online Health Community (2021-04-09)
by Ruyuan Wan.
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision (2021-04-02)
by Nicolai Haeni.
What’s the Point? Towards More Robust Human-Robot Interaction (2021-03-19)
by Andrea Walker.
Measuring, Mapping and Predicting Commercial 5G Performance: A UE Perspective (2021-02-26)
by Arvind Narayanan.
Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders (2021-02-05)
by Hao-Fei Cheng.
A Logic for Reasoning About LF Specifications (2020-12-11)
by Mary Southern.
Strategic Tree Rewriting in Attribute Grammars (2020-11-13)
by Lucas Kramer.
An Algorithmic Framework for Fairness Elicitation (2020-10-30)
by Logan Stapleton.
Design and Experiments with LoCO AUV: A Low-Cost Open-Source Autonomous Underwater Vehicle (2020-10-16)
by Michael Fulton.
Semantic Preservation in Extensible Languages (2020-10-02)
by Dawn Michaelson.