{ "112632-21829207": { "datetime_modified":"20231130T204116", "datetime_start":"20231205T143000", "datetime_end":"20231205T154500", "has_end_time":1, "date_start":"2023-12-05", "date_end":"2023-12-05", "time_start":"14:30:00", "time_end":"15:45:00", "time_zone":"America\/Detroit", "event_title":"RTG Number Theory: Pseudo-varieties of profinite graphs and spanning trees", "occurrence_title":"", "combined_title":"RTG Number Theory: Pseudo-varieties of profinite graphs and spanning trees: Amrita Acharyya (University of Toledo)", "event_subtitle":"Amrita Acharyya (University of Toledo)", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Abstract: We consider pro-C graphs for certain categories of finite graphs. After exploring some general theory, we specalize to a particular pseudo-variety denoted by \u03b5 that arises naturally in constructing end point compactifications of connected abstract graphs. We show that any connected secondcountable pro-\u03b5 graph has a profinite analogue of spanning tree as in connected abstract graphs. The structure of pro-\u03b5 graphs and their fundamental profinite groups are shown to be analogous in certain ways to that of abstract graphs and their fundamental groups.", "occurrence_notes":null, "guid":"112632-21829207@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/112632", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"4096", "location_name":"East Hall", "has_livestream":0, "cost":"", "tags":["Mathematics"], "website":"", "sponsors":[ { "group_name":"RTG Seminar on Number Theory - Department of Mathematics", "group_id":"4901", "website":"" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21829207 } , "115330-21834446": { "datetime_modified":"20231128T102122", "datetime_start":"20231205T150000", "datetime_end":"20231205T160000", "has_end_time":1, "date_start":"2023-12-05", "date_end":"2023-12-05", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"PhD Research Talk: Yaohui Guo", "occurrence_title":"", "combined_title":"PhD Research Talk: Yaohui Guo: Trust-Aware Teaming in Multi-Agent Human-Robot Collaboration", "event_subtitle":"Trust-Aware Teaming in Multi-Agent Human-Robot Collaboration", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"Seminar Abstract:\r\nTrust has been identified as a critical factor for effective human-robot teaming. However, existing literature on trust modeling predominantly focuses on dyadic human-robot teams, and there is little, if not no, research on trust modeling in multi-human-multi-robot (MHMR) teams. To fill this research gap, we propose the Trust Inference and Propagation (TIP) model, a mathematical framework for computational trust modeling in MHMR teams. The TIP model accounts for both the direct and indirect experiences that a human agent has with a robot, successfully capturing the underlying trust dynamics and significantly outperforming a baseline model. In addition, to foster trust in MHMR teams, we develop an online learning algorithm for real-time, optimal team formation in dynamic, collaborative environments. Specifically, we model the teaming problem as a matching linear bandit and show the proposed algorithm achieves sublinear regret, which offers a promising avenue for real-time, optimal team formation that goes beyond static or pre-planned strategies.\r\n\r\n\r\nPresenter Bio:\r\nYaohui Guo is a Ph.D. candidate in the Department of Industrial and Operations Engineering at the University of Michigan. His research focuses on human-robot\/AI collaboration, specifically in developing algorithms that enhance robots' interaction abilities by accurately interpreting human internal states. He has received Master's degrees in Robotics and Mathematics from the University of Michigan, and a Bachelor's degree in Mechanical Engineering and Automation from Xi\u2019an Jiaotong University. His research is supported by the Rackham Predoctoral Fellowship.", "occurrence_notes":null, "guid":"115330-21834446@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/115330", "building_id":"1000429", "building_name":"Industrial and Operations Engineering Building", "campus_maps_id":"73", "room":"2717", "location_name":"Industrial and Operations Engineering Building", "has_livestream":0, "cost":"", "tags":["Ioephdtalks","Ioephdstudents","Industrial And Operations Engineering"], "website":"", "sponsors":[ { "group_name":"Industrial & Operations Engineering", "group_id":"3301", "website":"http:\/\/ioe.engin.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2023\/11\/event_115330_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2023\/11\/event_115330_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2023\/11\/event_115330_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2023\/11\/event_115330_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2023\/11\/event_115330_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2023\/11\/event_115330_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2023\/11\/event_115330_original-1.png" }, "occurrence_count":1, "first_occurrence":21834446 } , "115071-21834010": { "datetime_modified":"20231110T141210", "datetime_start":"20231205T153000", "datetime_end":"20231205T163000", "has_end_time":1, "date_start":"2023-12-05", "date_end":"2023-12-05", "time_start":"15:30:00", "time_end":"16:30:00", "time_zone":"America\/Detroit", "event_title":"Anti-Racist Digital Research Institute Information Session", "occurrence_title":"", "combined_title":"Anti-Racist Digital Research Institute Information Session: Find out more about the institute and ask questions about the application process!", "event_subtitle":"Find out more about the institute and ask questions about the application process!", "event_type":"Other", "event_type_id":"22", "description":"This is an information session for the Anti-Racist Digital Research Institute and the application process. Have an idea, but want to learn more? Come on by! No registration required, just show up with the Zoom link provided in this listing, below. \r\n\r\nAbout the Anti-Racist Digital Research Institute:\r\nThe Anti-Racist Digital Research Institute is a mini-grant program and week-long institute to help up to 6 scholars or teams take an idea for a project and develop a proposal and project plan.\r\n\r\nProject ideas can take a broad range of forms, from collecting community interviews to providing access to data in interesting ways, such as digital maps or collections. Scholars with collaborative, multi-generational, or community-centered research ideas are highly encouraged to apply.\r\n\r\nThe institute will take place May 6-10, 2024 on the University of Michigan, Ann Arbor campus. Submissions are open from November 6 through December 22, 2023. 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