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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20251125T183059
DTSTART;TZID=America/Detroit:20251111T130000
DTEND;TZID=America/Detroit:20251111T134500
SUMMARY:Careers / Jobs:Path to Your Profession – Prioritizing Wellbeing in Your Career-Asia time friendly
DESCRIPTION:In today’s fast-paced work environment it is easy to overlook your wellbeing\, but it is essential to your long-term success and happiness. This session is designed to equip you with practical tools and strategies to manage stress\, maintain mental wellness and build resilience throughout your career. In this workshop we will cover:Managing workplace stress\, different coping strategies\, and how to maintain work-life balance.
UID:136144-21882029@events.umich.edu
URL:https://events.umich.edu/event/136144
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251024T114212
DTSTART;TZID=America/Detroit:20251111T130000
DTEND;TZID=America/Detroit:20251111T140000
SUMMARY:Presentation:YOLOgraphy: A New Way to Extract 3D Kinematic Information from 2D Images
DESCRIPTION:This talk summarizes our recent efforts in extracting high-precision motion information from camera images. We present our methodology which is developed to extract 3D vehicle kinematic information from roadside cameras using deep learning. Ground truth data are collected with the help of uncrewed aerial vehicles (UAVs) in terms of top view bounding boxes\, providing vehicle position\, size\, orientation\, and velocity information with high precision. These can be converted to roadside view bounding boxes using homography transformation. The ground truth data and the roadside view images are used to train a modified YOLO neural network\, and thus\, to learn the homography transformation matrix. The output of the neural network is high-precision vehicle kinematic information which can be visualized in both the top view and the roadside view. Once the neural network is trained\, only the roadside cameras are needed to extract the kinematic information.\n\nMore on this research: https://ccat.umtri.umich.edu/research/u-m/generating-high-accuracy-transportation-datasets-with-unmanned-aerial-vehicles/\n---\nAbout the speaker: Gabor Orosz received an MSc degree in Engineering Physics from the Budapest University of Technology\, Hungary\, in 2002\, and a PhD degree in Engineering Mathematics from the University of Bristol\, UK\, in 2006. He held postdoctoral positions at the University of Exeter\, UK\, and at the University of California\, Santa Barbara. In 2010\, he joined the University of Michigan\, Ann Arbor where he is currently a Professor in Mechanical Engineering and in Civil and Environmental Engineering. From 2017 to 2018 he was a Visiting Professor in Control and Dynamical Systems at the California Institute of Technology. In 2022 he was a Distinguished Guest Researcher in Applied Mechanics at the Budapest University of Technology and from 2023 to 2024 he was a Fulbright Scholar at the same institution. He served as an associate editor for Transportation Research Part C from 2018 to 2023. He has been serving as an associate editor for the IEEE Transactions on Control Systems Technology since 2021\, and for the IEEE Transactions on Intelligent Transportation Systems since 2022. He served as the general chair for the 17th IFAC Workshop on Time Delay System and for the 3rd IAVSD Workshop on Dynamics of Road Vehicles\, Connected and Automated Vehicles. His research interests include nonlinear dynamics and control\, time delay systems\, machine learning and data-driven systems\, with applications to connected and automated vehicles\, and traffic flow.
UID:141089-21888122@events.umich.edu
URL:https://events.umich.edu/event/141089
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:brown bag,Civil and Environmental Engineering,Discussion,Engineering,Engineering Academic Calendar,Faculty,Free,Graduate and Professional Students,Graduate Students,Lecture,Mechanical Engineering,Michigan Engineering,Networking,Professional Development,Research,seminar,symposium,Talk,Undergraduate,Undergraduate Students,Virtual,Webcast
LOCATION:Transportation Research Institute - 139
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251111T122046
DTSTART;TZID=America/Detroit:20251111T131500
DTEND;TZID=America/Detroit:20251111T153000
SUMMARY:Workshop / Seminar:UMSI 547- Engaging with communities
DESCRIPTION:
UID:141062-21888047@events.umich.edu
URL:https://events.umich.edu/event/141062
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251103T121658
DTSTART;TZID=America/Detroit:20251111T132000
DTEND;TZID=America/Detroit:20251111T135000
SUMMARY:Performance:Pamela Ruiter-Feenstra & Austin Zhu\, carillon
DESCRIPTION:Pamela Ruiter-Feenstra & Austin Zhu perform on the Ann & Robert H. Lurie Carillon\, an instrument of 60 bells with the lowest bell (bourdon) weighing 6 tons.\n\nThirty-minute recitals are performed on the Lurie Carillon every weekday that classes are in session. During these recitals\, visitors may take the elevator to level 2 to view the largest bells\, or to level 3 to see the carillonist performing. (Visitors subject to acrophobia are recommended to visit level 2 only.) An optional spiral stairway between levels 2 and 3 allows for up-close views of some of the largest bells.
UID:141419-21888785@events.umich.edu
URL:https://events.umich.edu/event/141419
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,Music,North Campus
LOCATION:Lurie Ann & Robert H. Tower
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251111T132047
DTSTART;TZID=America/Detroit:20251111T134500
DTEND;TZID=America/Detroit:20251111T151500
SUMMARY:Workshop / Seminar:School of Public Health
DESCRIPTION:
UID:141189-21888348@events.umich.edu
URL:https://events.umich.edu/event/141189
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:SPH II, 1112
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20251106T145027
DTSTART;TZID=America/Detroit:20251111T140000
DTEND;TZID=America/Detroit:20251111T153000
SUMMARY:Presentation:Planet Blue Ambassador Training for Engineers: Explore Sustainability at U-M
DESCRIPTION:Come learn about how to navigate sustainability at U-M\, and how you can care for people and the planet! This training is tailored to Michigan Engineering staff and faculty. We will be covering the university's commitments to advancing sustainability\, as well as many opportunities for you to be involved. This presentation will share a variety of accessible resources here to support you and your workplace’s sustainability goals. \n\nThe training will take place in the Johnson Rooms in Lurie Engineering Center (3rd floor). This event is free and open to the U-M community\, but registration is required.
UID:138814-21883967@events.umich.edu
URL:https://events.umich.edu/event/138814
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Discussion,Education,Engineering,Environment,environmental,environmental education,Free,planet blue,Sustainability
LOCATION:Lurie Robert H. Engin. Ctr - Room 1210
CONTACT:
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