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    "131590-21868788":
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        "datetime_modified":"20250122T121737",
        "datetime_start":"20250421T120000",
        "datetime_end":"20250421T123000",
        "has_end_time":1,
        "date_start":"2025-04-21",
        "date_end":"2025-04-21",
        "time_start":"12:00:00",
        "time_end":"12:30:00",
        "time_zone":"America\/Detroit",
        "event_title":"Adam Lenhart, carillon",
        "occurrence_title":"",
        "combined_title":"Adam Lenhart, carillon: Celebrating the Life, Legacy & Music of Carole King (b.1942)",
        "event_subtitle":"Celebrating the Life, Legacy & Music of Carole King (b.1942)",
        "event_type":"Performance",
        "event_type_id":"15",
        "description":"Undergraduate student Adam Lenhart performs on the Charles Baird Carillon, an instrument of 53 bronze bells located inside the Burton Memorial Tower. The largest bell, which strikes the hour, weighs 12 tons, while the smallest bell, 4\u00bd octaves above, weighs just 15 pounds. As part of Lenhart\u2019s American Women Concert Series, this recital program celebrates the life, legacy & music of Carole King (b.1942).\n\nThirty-minute recitals are performed on the Charles Baird Carillon at noon every weekday that classes are in session, followed by visitor Q&A with the carillonist. The bell chamber may be accessed via a combination of elevator and stairs. Take the elevator to the highest floor possible (floor 8), and then climb two flights of stairs (39 steps) to the bell chamber (floor 10). Hearing protection earmuffs are provided for visitors. Be prepared to walk on ice and snow in the bell chamber during winter. Built in 1936, the Charles Baird Carillon is not ADA accessible. Visitors with mobility concerns are invited to visit the Lurie Carillon.",
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                "guid":"131590-21868788@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/131590",
        "building_id":"1000155",
        "building_name":"Burton Memorial Tower",
        "campus_maps_id":"25",
        "room":"",
        "location_name":"Burton Memorial Tower",
        "has_livestream":0,
        "cost":"Free - no tickets required",
        "tags":["Music","Free","Talk"],
        "website":"",
        "sponsors":[
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                "group_name":"School of Music, Theatre & Dance (SMTD)",
                "group_id":"155",
                "website":"http:\/\/smtd.umich.edu\/events"                }                    ],
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    {
        "datetime_modified":"20250421T113230",
        "datetime_start":"20250421T120000",
        "datetime_end":"20250421T160000",
        "has_end_time":1,
        "date_start":"2025-04-21",
        "date_end":"2025-04-21",
        "time_start":"12:00:00",
        "time_end":"16:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Bloody Work: Lexington and Concord 1775",
        "occurrence_title":"",
        "combined_title":"Bloody Work: Lexington and Concord 1775",
        "event_subtitle":"",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"The William L. Clements Library is pleased to announce a forthcoming exhibition in recognition of the 250th Anniversary of the military hostilities that began the American Revolutionary War. The Battles of Lexington and Concord are firmly established in American memory as the culmination of a range of governmental, political, economic, and social tensions that amplified in the decade leading up to 1775. In this exhibit, visitors will have the opportunity to see original historical manuscript letters, documents, newspapers, and artwork that reveal aspects of the bloody work of Empire and individual alike in April 1775.\r\n\r\nAmong the items on display will be Commander in Chief of the British Army, General Thomas Gage's draft orders for the Concord Expedition, April 18, 1775; a bundle of letters collected by former Sons of Liberty supporter Dr. Benjamin Church, which he secretly turned over to British Army intelligence; letters by Silas Deane, John Hancock, and Rachel Revere; and much more.\r\n\r\nOpen weekdays from 12-4 pm.",
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        "building_name":"William Clements Library",
        "campus_maps_id":"165",
        "room":"",
        "location_name":"William Clements Library",
        "has_livestream":0,
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        "tags":["Library","american culture","american history","Americana","Ann Arbor","Exhibit","Exhibition","Free","history","libraries"],
        "website":"",
        "sponsors":[
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    }    ,    "133659-21873359":
    {
        "datetime_modified":"20250415T163047",
        "datetime_start":"20250421T120000",
        "datetime_end":"20250421T163000",
        "has_end_time":1,
        "date_start":"2025-04-21",
        "date_end":"2025-04-21",
        "time_start":"12:00:00",
        "time_end":"16:30:00",
        "time_zone":"America\/Detroit",
        "event_title":"Community Kickback: Come n Go Series",
        "occurrence_title":"",
        "combined_title":"Community Kickback: Come n Go Series: Exam Week",
        "event_subtitle":"Exam Week",
        "event_type":"Social \/ Informal Gathering",
        "event_type_id":"19",
        "description":"Welcome to the Student Culture Lounge's (SCL) Come & Go Programming Series\u2014a vibrant, interactive experience for students to connect, engage, and unwind in a welcoming environment on North Campus. Our series offers a casual, yet enriching opportunity to explore diverse topics and cultures through themed events, featuring delicious food. Whether you're a new face or a familiar friend, this series is designed to make you feel appreciated by the Office of Culture, Community & Equity (OCCE) and to introduce or reconnect you with the SCL.\r\n\r\nEvents will take place from 12-1:30pm & 3-4:30pm",
        "occurrence_notes":null,
                "guid":"133659-21873359@events.umich.edu",
        "permalink":"http:\/\/events.umich.edu\/event\/133659",
        "building_id":"1000435",
        "building_name":"Engineering Research Building (ERB - formerly IST)",
        "campus_maps_id":"75",
        "room":"Student Culture Lounge",
        "location_name":"Engineering Research Building (ERB - formerly IST)",
        "has_livestream":0,
        "cost":"",
        "tags":["Undergraduate Students","Undergraduate","Multicultural","Michigan Engineering","Inclusion","Graduate And Professional Students","Graduate","Engineering","Community","Diversity","Free"],
        "website":"https:\/\/myumi.ch\/W6R5k",
        "sponsors":[
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                "group_name":"Engineering Office of Culture, Community, and Equity (OCCE)",
                "group_id":"4827",
                "website":""                },             {
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                "group_id":"4594",
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    {
        "datetime_modified":"20250403T135845",
        "datetime_start":"20250421T120000",
        "datetime_end":"20250421T140000",
        "has_end_time":1,
        "date_start":"2025-04-21",
        "date_end":"2025-04-21",
        "time_start":"12:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Deep Learning Methods for Autonomous Underwater Survey, Reacquisition, and Close-Range Inspection",
        "occurrence_title":"",
        "combined_title":"Deep Learning Methods for Autonomous Underwater Survey, Reacquisition, and Close-Range Inspection: Robotics PhD Defense, Advaith Sethuraman",
        "event_subtitle":"Robotics PhD Defense, Advaith Sethuraman",
        "event_type":"Presentation",
        "event_type_id":"16",
        "description":"Committee Chair: Katherine Skinner\r\n\r\nAbstract: \r\nUnderwater robots perform crucial search, inspection, and manipulation tasks in environments that are dangerous, impractical, or impossible for humans to operate in. In order to safely perform useful work, it is crucial for these robotic systems to be equipped with algorithms that enable spatial awareness, decision making, and localization. Alternate sensing modalities such as sonar address some of these challenges but introduce new trade-offs: acoustic noise, view-dependent imaging, and lack of large datasets for machine learning methods.\r\n \r\nThis dissertation addresses challenges associated with autonomous survey, reacquisition, and inspection missions for underwater robots. Autonomous survey encompasses the deployment of robots to capture imagery of a large search area. Reacquisition refers to the maneuvers to capture varying views of any found objects. Finally, close-up inspection of objects involves capturing optical and acoustic imagery of objects for downstream tasks. These tasks are crucial to search and rescue, oceanography, defense, and infrastructure inspection applications. Traditionally, search for submerged objects of interest has been carried out with ship-mounted sonar and human divers. However, this manual process is time consuming, dangerous, and does not scale to large search areas. The use of Autonomous Underwater Vehicles (AUVs) promises to speed up the process of underwater survey and inspection. However, the data these vehicles collect often requires manual analysis by humans, which can take weeks and does not enable in-situ autonomous decision making. Although machine learning methods can speed up decision making and data processing, there are several challenges for deploying machine learning methods in the field. After an item has been found, marine robotic systems can be deployed for a close-up inspection to enable detailed surveys of targets of interest.\r\n \r\nThis work contributes several novel methods that aim to enable autonomous search and survey for marine robotic systems. The first contribution of this work is a method that addresses the lack of training datasets for learning-based object identification in sonar imagery collected from robotic search missions. Specifically, this work presents a method for shipwreck segmentation that is trained entirely in simulation and performs zero-shot shipwreck segmentation with no additional fine-tuning on real data. The second contribution is a diverse, open-source dataset and benchmark for shipwreck segmentation in sonar imagery. This contribution establishes an open-source benchmark and enables future research in machine learning for ocean exploration. After an object is found, operators may perform lower-altitude, specialized survey patterns for imaging the object of interest. The third contribution is an adaptive surveying algorithm that plans more efficient re-inspections of detected targets using side scan sonar. This algorithm is a novel active perception method for side scan sonar that both chooses the next best view to maximize classifier performance and aggregates and classifies multiple views from an adaptive survey. Finally, we develop a novel Gaussian splatting framework for close-range inspections using imaging sonar that demonstrates realistic novel view synthesis and models acoustic streaking phenomena. This method can enable synthetic data generation of realistic imaging sonar data for training deep learning models and additionally enables denoising of captured sonar data, allowing for increased interpretability. The methods presented throughout this thesis are evaluated on real-world datasets collected from field work experiments using marine robotics platforms. This dissertation represents progress toward fully autonomous underwater systems that can operate with minimal human oversight in order to greatly accelerate search and survey missions for critical underwater applications.\r\n\r\nZoom link: https:\/\/umich.zoom.us\/j\/97161696814",
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        "building_id":"1005418",
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        "room":"2300",
        "location_name":"Ford Robotics Building",
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        "tags":["Robotics","Michigan Robotics"],
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        "datetime_modified":"20250220T124023",
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        "event_title":"ELO | UMSI Poster Exposition 2025",
        "occurrence_title":"",
        "combined_title":"ELO | UMSI Poster Exposition 2025",
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        "event_type_id":"22",
        "description":"UMSI Exposition | Monday, April 21, 2025\r\n12pm - 2pm | Michigan League\r\n\r\nUMSI annually hosts a poster fair to exhibit the exceptional engaged learning work done by students through their courses, student organizations, co-curricular programs, and independent endeavors. All students who completed information projects or participated in information-focused engaged learning endeavors such as research, civic or community engagement, or global learning during the 2024-25 academic year are eligible to present at Exposition 2025.\r\n\r\nStudents who completed fall projects are encouraged to register now for Exposition. UMSI staff will reach out in the winter term to confirm participation and request additional details, as needed.\r\n\r\nUse the related link to register today!",
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