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        "datetime_modified":"20260415T123727",
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        "event_title":"Accessibility by Design: Equitable Teaching Practices for Graduate Instructors",
        "occurrence_title":"",
        "combined_title":"Accessibility by Design: Equitable Teaching Practices for Graduate Instructors",
        "event_subtitle":"",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"GSIs often encounter accessibility as a set of requirements handed down after a course is already underway, but many of the most meaningful accessibility decisions happen in the day-to-day work that graduate instructors actually control: discussion facilitation, assignment instructions, slide design, communication with students, and office hours. In this interactive workshop, participants will explore how to integrate accessibility thinking into these everyday teaching practices. Drawing on universal design for learning principles and real scenarios from GSI teaching contexts, we will work through cases where accessibility needs arise and consider how small, proactive choices can prevent barriers before they form. Participants will leave with concrete strategies for making their teaching more equitable, not as a compliance checklist, but as a core part of effective instruction.",
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        "tags":["Graduate Students","Virtual","Workshop"],
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        "datetime_modified":"20260505T105842",
        "datetime_start":"20260512T130000",
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        "time_zone":"America\/Detroit",
        "event_title":"Cameron Tripp Dissertation Defense",
        "occurrence_title":"",
        "combined_title":"Cameron Tripp Dissertation Defense: Unraveling Signals of ENSO Variability, Regional Circulation, and Physiological Change in Coral Geochemical Records from the Gal\u00e1pagos Archipelago",
        "event_subtitle":"Unraveling Signals of ENSO Variability, Regional Circulation, and Physiological Change in Coral Geochemical Records from the Gal\u00e1pagos Archipelago",
        "event_type":"Lecture \/ Discussion",
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        "description":"Zoom link: https:\/\/umich.zoom.us\/j\/99268139971\n\nCirculation patterns in the eastern equatorial Pacific (EEP) have an outsized impact on the global climate system. Southeasterly trade winds force upwelling along the equator and the South American coastline, maintaining a regional \u2018cold tongue\u2019 that outgasses large fluxes of carbon dioxide into the atmosphere. Shifts in the intensity of EEP upwelling can moderate the development and decay of the El Ni\u00f1o\u2013Southern Oscillation (ENSO), the largest source of interannual climate variability on Earth. Leading Earth system models predict ENSO impacts to intensify under anthropogenic greenhouse warming, but rely on scarce observations of its historical variability.\n\nIn this dissertation, I leverage oxygen isotopic (\u03b418O) and trace elemental measurements of aragonitic coral skeletons from the Gal\u00e1pagos archipelago to investigate EEP oceanographic conditions in the past and present. Geochemical tracers in scleractinian coral skeletons are powerful archives of past temperature and circulation patterns. At Gal\u00e1pagos, a globally significant biodiversity hotspot in the EEP, these environmental signals are closely linked to ENSO variability.\n\nThe relative abundance of strontium (Sr\/Ca) within Porites lobata corals varies as an inverse function of seawater temperature, as does their \u03b418O composition. In Chapter 2, I generate Sr\/Ca and \u03b418O records from subfossil Gal\u00e1pagos P. lobata to reconstruct ENSO variability at 4000 years before present (BP). Whereas \u03b418O records from the central equatorial Pacific document weakened ENSO between 5000-3000 BP, my results demonstrate robust, negatively skewed ENSO variance, amplified relative to that over the preindustrial last millennium. This contrast illuminates a shift in the spatial profile of ENSO at 4000 BP, with cold La Ni\u00f1a events intensifying and developing farther east in response to orbital forcing.\n\nDramatic shifts in ENSO variability often manifest due to changes in equatorial upwelling patterns. In Chapter 3, I investigate the sensitivity of barium (Ba\/Ca), cadmium (Cd\/Ca), and phosphorus (P\/Ca) concentrations in P. lobata corals to upwelled water supply in the Gal\u00e1pagos archipelago. I statistically decompose vertical velocity data from an ocean physics reanalysis product to reveal two independent modes of regional upwelling associated with the shoaling Equatorial Undercurrent and the southeasterly trade winds, respectively. The coral geochemical tracers document contrasting variance patterns at separate island sites, consistent with distinct regional expressions of these overlapping upwelling patterns. Although coral Ba\/Ca and Cd\/Ca generally covary within a record, implying a shared environmental driver, P\/Ca results are less informative.\n\nPrior analyses have suggested that physiological artefacts can overprint environmental signals in coral Ba\/Ca records, limiting proxy fidelity. In Chapter 4, I evaluate the influence of skeletal density and linear extension rate on Ba\/Ca ratios from a large assemblage of living and subfossil Gal\u00e1pagos corals. 83% of the Ba\/Ca records analyzed demonstrate no annual covariance with these physiological parameters, linked to coral calcification rate. However, mean Ba\/Ca ratios are typically reduced in faster growing records, consistent with the Rayleigh fractionation model of element partitioning. Similarly, annual Ba\/Ca values in one record correlate inversely with extension, driving periodic offsets from an overlapping record. These results indicate that Ba\/Ca records should be screened for physiological artefacts ahead of their application.\n\nAltogether, this dissertation provides a robust assessment of coral geochemical proxies and their utility in reconstructing oceanographic conditions in the EEP. Whereas temperature-sensitive tracers can demonstrably be leveraged to reconstruct the variance and asymmetry of historical ENSO, upwelling proxies are best paired with regional circulation data for faithful interpretation.",
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        "tags":["Dissertation","Earth And Environmental Sciences"],
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        "event_title":"Effectiveness of Inductive Vehicle Charging to Alleviate EV Range Anxiety",
        "occurrence_title":"",
        "combined_title":"Effectiveness of Inductive Vehicle Charging to Alleviate EV Range Anxiety: Sina Bahrami",
        "event_subtitle":"Sina Bahrami",
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        "description":"This project evaluates the efficacy, optimal placement, and economic viability of inductive vehicle charging (IVC) technology. Using literature review, stakeholder engagement, and rigorous mathematical modeling, we developed a comprehensive framework to identify high impact use cases for this emerging technology. The findings suggest that IVC is not a universal solution, but a targeted tool within a rapidly evolving electrification landscape. It may serve as a bridging technology or a specialized solution for high utilization fleets, rather than a permanent requirement for all electric mobility.\n---\nAbout the speaker: Sina Bahrami is an Assistant Research Scientist in the Department of Civil and Environmental Engineering at the University of Michigan. He earned his Ph.D. in Civil Engineering from the University of Toronto in 2019. His research develops optimization and decision-support tools for emerging mobility systems in smart cities, with a focus on electric and automated vehicles. He has published 18 articles in leading transportation journals and his work has been featured in outlets such as Forbes and Popular Science.",
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        "tags":["Basic Science","Civil and Environmental Engineering","conference","Discussion","Education","Engineering","Engineering Academic Calendar","Environment","Faculty","Free","Graduate and Professional Students","Graduate Students","Information and Technology","Leadership","Lecture","Michigan Engineering","Networking","Professional Development","Research","seminar","symposium","Talk","Undergraduate","Undergraduate Students","Virtual","Webcast"],
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        "datetime_modified":"20260501T101046",
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        "event_title":"Everything You Need to Know About Service Animals at U-M",
        "occurrence_title":"",
        "combined_title":"Everything You Need to Know About Service Animals at U-M",
        "event_subtitle":"",
        "event_type":"Workshop \/ Seminar",
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        "description":"Join the university's Disability Equity Office to learn about service animals, service animals in training, emotional support animals, and the differences between them. Topics will include service animals in the classroom, workplace, and public spaces. Participants will learn what questions can be asked of a handler and how to respond to inquiries about service animals.\n\nAmerican Sign Language (ASL) interpreting services and Communication Access Realtime Translation (CART) captioning services will be provided. If you need additional accommodations to participate in this webinar, please email the ADA Coordinator at ADAcoordinator@umich.edu.",
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        "tags":["Accessibility","Communication","Disability","Diversity","Inclusion","Service Animal","Virtual","Workshop"],
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        "datetime_modified":"20260505T152141",
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        "event_title":"Multimodal Fusion and Temporal Reasoning for Intelligent Robot Perception",
        "occurrence_title":"",
        "combined_title":"Multimodal Fusion and Temporal Reasoning for Intelligent Robot Perception: PhD Defense, Jingyu Song",
        "event_subtitle":"PhD Defense, Jingyu Song",
        "event_type":"Presentation",
        "event_type_id":"16",
        "description":"Committee chair: Katie Skinner\n\nAbstract:\nReliable autonomy for field robots depends on perception systems that can operate under difficult sensing conditions. In real-world environments, robot perception is often degraded by low-texture visual patterns, environmental disturbances, adverse weather, occlusions, and sensor failures. This dissertation develops multimodal fusion and temporal reasoning methods that improve the robustness, scalability, and accuracy of robot perception across challenging environments.\n\nThe first part of this thesis addresses state estimation and dense mapping for underwater robots, where wave disturbance and low-texture environments often cause vision-based localization to fail. We introduce TURTLMap, a real-time localization and dense mapping framework for low-cost underwater robots. TURTLMap fuses Doppler velocity log, inertial, and pressure measurements for robust localization, while using stereo depth to construct dense 3D maps. Real-world experiments in a water tank environment, evaluated with underwater motion capture and a reference 3D structure, demonstrate accurate robot tracking and mapping under low-texture and wave-disturbed conditions.\n\nThe second part studies adaptive multimodal fusion for autonomous vehicle perception. We introduce LiRaFusion, a LiDAR-radar fusion network that combines joint feature encoding with adaptive feature weighting to better exploit the complementary strengths of LiDAR and radar. Experiments on large-scale 3D object detection benchmarks show that this design improves detection performance over existing fusion methods. Building on this direction, we develop CRKD, a cross-modality knowledge distillation framework that transfers knowledge from a high-performing LiDAR-camera teacher to a scalable camera-radar student. This approach provides a practical pathway for using high-quality sensor data from test fleets to improve cost-effective sensing configurations for consumer vehicles, achieving state-of-the-art camera-radar object detection performance.\n\nThe third part explores temporal reasoning for road scene understanding. We introduce MemFusionMap, a memory-based framework for online vectorized HD map construction that improves temporal fusion by combining current BEV features with multiple working-memory features. MemFusionMap further maintains a temporal overlap heatmap, which provides a spatiotemporal cue for how historical observations overlap with the current field of view and helps the model reason over memory more adaptively. Together, these designs improve map construction under challenging and complex road conditions, including occlusion and dynamic scene changes, while preserving efficient runtime and compatibility with multiple perception models.\n\nFinally, this thesis develops CRISP, a spatiotemporal camera-radar pretraining framework for autonomous driving. CRISP learns transferable bird\u2019s-eye-view representations by forecasting future LiDAR point clouds from historical camera and radar observations, using LiDAR as privileged supervision only during pretraining. At deployment, the model operates using camera-radar inputs alone. Experiments on real-world benchmarks show that CRISP improves long-horizon point cloud forecasting and transfers effectively to downstream tasks including 3D object detection, tracking, online mapping, motion forecasting, future occupancy prediction, and planning.\n\nTogether, these contributions show how multimodal sensing, cross-modality knowledge transfer, temporal memory, and predictive pretraining can make robot perception more reliable under practical sensing constraints. The resulting methods improve localization, mapping, perception, prediction, and planning across challenging underwater and autonomous driving environments.",
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