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        "datetime_modified":"20211129T083450",
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        "time_start":"15:00:00",
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        "event_title":"Visual Methods Towards Autonomous Underwater Manipulation",
        "occurrence_title":"",
        "combined_title":"Visual Methods Towards Autonomous Underwater Manipulation: PhD Defense, Gideon Billings",
        "event_subtitle":"PhD Defense, Gideon Billings",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"Chair: Matthew Johnson Roberson\r\n\r\nExtra-terrestrial ocean worlds like Europa offer tantalizing targets in the search for extant life beyond the confines of Earth's atmosphere. However, reaching and exploring the underwater environments of these alien worlds is a task with immense challenges. Unlike terrestrial based missions, the exploration of ocean worlds necessitates robots which are capable of fully automated operation. These robots must rely on local sensors to interpret the scene, plan their motions, and complete their mission tasks. Manipulation tasks, such as sample collection, are particularly challenging in underwater environments, where the manipulation platform is mobile, and the environment is unstructured. \r\n\r\nThis dissertation addresses some of the challenges in visual scene understanding to support autonomous manipulation with underwater vehicle manipulator systems (UVMSs). The developed visual methods are demonstrated with a lightweight vision system, composed of a vehicle mounted stereo pair and a manipulator wrist mounted fisheye camera, that can be easily integrated on existing UVMSs. While the stereo camera primarily supports 3D reconstruction of the manipulator working area, the wrist mounted camera enables dynamic viewpoint acquisition for detecting objects, such as tools, and extending the scene reconstruction beyond the fixed stereo view. An objective of this dissertation was also to apply deep learning based visual methods to the underwater domain. While deep learning has greatly advanced the state-of-the-art in terrestrial based visual methods across diverse applications, the challenges of accessing the underwater environment and collecting underwater datasets for training these methods has hindered progress in advancing visual methods for underwater applications. \r\n\r\nFollowing is an overview of the contributions made by this dissertation. The first contribution is a novel deep learning method for object detection and pose estimation from monocular images. The second contribution is a general framework for adapting monocular image-based pose estimation networks to work on full fisheye or omni-directional images with minimal modification to the network architecture. The third contribution is a visual SLAM method designed for UVMSs that fuses features from both the wrist mounted fisheye camera and the vehicle mounted stereo pair into the same map, where the map scale is constrained by the stereo features, and the wrist camera can actively extend the map beyond the limited stereo view. The fourth contribution is an open-source tool to aid the design of underwater camera and lighting systems. The fifth contribution is an autonomy framework for UVMS manipulator control and the vision system that was used throughout this dissertation work, along with experimental results from field trials in natural deep ocean environments, including an active submarine volcano in the Mediterranean basin. This chapter also describes the collection and processing of underwater datasets, captured with our vision system in these natural deep ocean environments. These datasets supported the development of the visual methods contributed by this dissertation.",
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        "building_name":"Ford Robotics Building",
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        "tags":["Dissertation","Michigan Robotics","Naval Architecture and Marine Engineering","Research","Robotics"],
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    {
        "datetime_modified":"20211005T085637",
        "datetime_start":"20211201T160000",
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        "date_end":"2021-12-01",
        "time_start":"16:00:00",
        "time_end":"17:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Beinecke Scholarship Program",
        "occurrence_title":"",
        "combined_title":"Beinecke Scholarship Program: Henry Dyson, Director of ONSF",
        "event_subtitle":"Henry Dyson, Director of ONSF",
        "event_type":"Livestream \/ Virtual",
        "event_type_id":"24",
        "description":"Register here: https:\/\/myumi.ch\/O4eKQ\r\n\r\nThe Beinecke Scholarship Program seeks to encourage and enable highly motivated students to pursue opportunities available to them and to be courageous in the selection of a graduate course of study in the arts, humanities, and social sciences.\r\n\r\nEach scholar receives $4,000 immediately prior to entering graduate school and an additional $30,000 while attending graduate school. There are no geographic restrictions on the use of the scholarship, and recipients are allowed to supplement the award with other scholarships, assistantships, and research grants. Scholars must utilize all of the funding within five years of completion of undergraduate studies.\r\n\r\nLearn more: https:\/\/lsa.umich.edu\/onsf\/scholarships\/united-states\/beinecke-scholarship-program.html",
        "occurrence_notes":"Register for Meeting ID",
                "guid":"87134-21639079@events.umich.edu",
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        "tags":["Undergraduates","Scholarships","Social Sciences","Undergraduate","Undergraduate Students","Art","Scholarship","Education","Humanities","Juniors","Literature","Office Of National Scholarships And Fellowships (Onsf)","Onsf","Research"],
        "website":"https:\/\/lsa.umich.edu\/onsf\/scholarships\/united-states\/beinecke-scholarship-program.html",
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    {
        "datetime_modified":"20211216T123029",
        "datetime_start":"20211201T160000",
        "datetime_end":"20211201T180000",
        "has_end_time":1,
        "date_start":"2021-12-01",
        "date_end":"2021-12-01",
        "time_start":"16:00:00",
        "time_end":"18:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Davenport University Virtual Graduate Program Fair",
        "occurrence_title":"",
        "combined_title":"Davenport University Virtual Graduate Program Fair",
        "event_subtitle":"",
        "event_type":"Careers \/ Jobs",
        "event_type_id":"2",
        "description":"This event will help current students and alumni learn about obtaining a graduate degree including:\n\nMaster of Business Administration- Business, Management or specialties like in Data Mining & Visualization or Predictive Analytics , Leadership Strategies, Strategic Management, Accountancy, Finance, Human Resource Management, Marketing, Health Care Administration\n\nMaster of Science in Information Assurance - Cyber Security, Technology Management, Data Analytics, Computer Science. Health Informatics, and Information Management, Nursing, Occupational Therapy\n\nMaster of Education - Urban Education, Educational Leadership\n\nView all Graduate Programs here:\nhttps:\/\/www.davenport.edu\/academics\/all-degree-programs\n\nThis event will help you define the value and opportunities in achieving a graduate degree for career advancement and growth.",
        "occurrence_notes":null,
                "guid":"89380-21662416@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/89380",
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    {
        "datetime_modified":"20211201T181550",
        "datetime_start":"20211201T160000",
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        "time_start":"16:00:00",
        "time_end":"17:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Department Colloquium | Galaxies Far, Far Away: Mapping the Cosmos with the Dark Energy Survey",
        "occurrence_title":"",
        "combined_title":"Department Colloquium | Galaxies Far, Far Away: Mapping the Cosmos with the Dark Energy Survey: Jonathan Blazek (Northeastern University)",
        "event_subtitle":"Jonathan Blazek (Northeastern University)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Despite tremendous progress in precision cosmology, several core mysteries remain, including the nature of dark energy, dark matter, and gravity. Galaxy surveys, which observe the positions and shapes of galaxies across large areas of the sky, are able to map a significant fraction of our cosmic volume, providing one of the most powerful probes of the Universe. I will describe how we use millions (or billions) of galaxies to measure both galaxy clustering and weak gravitational lensing, and how we learn about the Universe by analyzing these statistics. A significant challenge is that most of the Universe is \u201cdark,\u201d and we must infer from the roughly 5% visible fraction what the remaining 95% is doing. I will focus on the current state of the art, the Year 3 cosmology results from the Dark Energy Survey. I will also preview the exciting future of the field, with the Rubin Observatory and the Dark Energy Spectroscopic Instrument. \n",
        "occurrence_notes":null,
                "guid":"89471-21663196@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/89471",
        "building_id":"1000167",
        "building_name":"West Hall",
        "campus_maps_id":"163",
        "room":"340",
        "location_name":"West Hall",
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        "tags":["Physics","Science"],
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        "sponsors":[
             {
                "group_name":"Department of Physics",
                "group_id":"1965",
                "website":""                },             {
                "group_name":"Department Colloquia",
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    {
        "datetime_modified":"20211021T145535",
        "datetime_start":"20211201T160000",
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        "time_zone":"America\/Detroit",
        "event_title":"Department of Computational Medicine & Bioinformatics Weekly Seminar",
        "occurrence_title":"",
        "combined_title":"Department of Computational Medicine & Bioinformatics Weekly Seminar: Yuchao Jiang (University of North Carolina), \"Nonparametric Interrogation of Transcriptional Regulation in Single-Cell RNA and Chromatin Accessibility Multiomic Data\"",
        "event_subtitle":"Yuchao Jiang (University of North Carolina), \"Nonparametric Interrogation of Transcriptional Regulation in Single-Cell RNA and Chromatin Accessibility Multiomic Data\"",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"Abstract:\r\n\r\nEpigenetic control of gene expression is highly cell-type- and context-specific. Yet, despite its complexity, gene regulatory logic can be broken down into modular components consisting of a transcription factor (TF) activating or repressing the expression of a target gene through its binding to a cis-regulatory region. Recent advances in joint profiling of transcription and chromatin accessibility with single-cell resolution offer unprecedented opportunities to interrogate such regulatory logic. Here, we propose a nonparametric approach, TRIPOD, to detect and characterize three-way relationships between a TF, its target gene, and the accessibility of the TF\u2019s binding site, using single-cell RNA and ATAC multiomic data. We apply TRIPOD to interrogate cell-type-specific regulatory logic in peripheral blood mononuclear cells and contrast our results to detections from enhancer databases, cis-eQTL studies, ChIP-seq experiments, and TF knockdown\/knockout studies. We then apply TRIPOD to mouse embryonic brain data during neurogenesis and gliogenesis and identified known and novel putative regulatory relationships, validated by ChIP-seq and PLAC-seq. Finally, we demonstrate TRIPOD on SHARE-seq data of differentiating mouse hair follicle cells and identify lineage-specific regulation supported by histone marks for gene activation and super-enhancer annotations.\r\n\r\nHosted by:  Joshua Welch, PhD\r\n\r\nSpeaker will be in-person and the seminar will be live-streamed via Zoom.\r\n\r\nZoom:  https:\/\/umich-health.zoom.us\/j\/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09",
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        "tags":["Talk","Structural Biology","seminar","Science","Research","Public Health","Physics","Pediatrics","Free","Medicine","Mathematics","Life Science","Lecture","Chemistry","Basic Science","Biology","Learning Health Systems","Biomedical Engineering","Biosciences","Cardiovascular","Discussion","Electrical Engineering and Computer Science","Engineering","Environment","Holiday","Human Genetics","Information and Technology"],
        "website":"https:\/\/medicine.umich.edu\/dept\/computational-medicine-bioinformatics\/events\/202112\/ccmb-seminar-series-title-tba",
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        "time_zone":"America\/Detroit",
        "event_title":"Macroeconomics and Labor Joint Seminar:",
        "occurrence_title":"",
        "combined_title":"Macroeconomics and Labor Joint Seminar:: Isaac Sorkin, Stanford University",
        "event_subtitle":"Isaac Sorkin, Stanford University",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Details to come.",
        "occurrence_notes":null,
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                "group_id":"3302",
                "website":"http:\/\/www.lsa.umich.edu\/econ"                },             {
                "group_name":"ISR-Zwerdling Seminar in Labor Economics",
                "group_id":"3551",
                "website":""                },             {
                "group_name":"Michael Beauregard Seminar in Macroeconomics",
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