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BEGIN:VEVENT
DTSTAMP:20260105T125309
DTSTART;TZID=America/Detroit:20260107T110000
DTEND;TZID=America/Detroit:20260107T130000
SUMMARY:Presentation:Toward Improved Neuroprosthetic Control of Multiple Degrees of Freedom for Fingers and Wrist via Implanted Neural Interfaces
DESCRIPTION:Committee Chair: Cynthia Chestek\n\nAbstract:\nModern prosthetic and robotic hands offer significant opportunities to restore limb function for individuals with limb loss or impairment. However\, the current standard of control for many of these devices does not provide sufficiently rich control signals to match the number of movements these hands can perform. Implanted neural interfaces offer a promising approach to obtain control signals with substantially higher spatial and temporal resolution than noninvasive technologies. These interfaces have the potential to improve control of multiple degrees of freedom in the fingers and hand\, and to incorporate additional degrees of freedom such as the wrist. This dissertation investigates how implanted neural interfaces can be used to improve control of multiple degrees of freedom in the hand and wrist.\n\nFirst\, we examine an augmentation to an intracortical brain–machine interface decoder designed to reduce errors during control of multiple finger groups. Two non-human primates were implanted with intracortical microelectrode arrays in the hand-knob area of primary motor cortex and trained to control a virtual hand using intracortical neural signals. Neural activity from the arrays was associated with finger kinematics to create a decoder controlling the index and middle-ring-small finger groups. Movement errors were classified using the same intracortical data and incorporated into a subsequent closed-loop control session to detect and correct errors in real time. Incorporating error correction resulted in a significantly lower orbiting time around targets\, with an average reduction of 26%. This reduction represents an important improvement in control and may provide even greater benefit in human users\, where control errors occur more frequently.\n\nNext\, we investigate a peripheral nervous system interface technology rather than intracortical signals. Regenerative Peripheral Nerve Interfaces (RPNIs) provide a rich source of peripheral nerve control signals for individuals with limb loss by amplifying efferent nerve activity for muscles lost with the limb. Two participants with upper limb loss between the elbow and wrist received RPNIs and implanted electrodes in both the RPNIs and residually innervated muscles. Classifiers were trained to decode implanted neural signals into discrete finger and wrist movements\, and performance was compared to classifiers trained using surface electrodes. Implanted electrodes provided an average improvement in classification accuracy of over 38% during arm movement. This improvement translated to a reduction in task completion time of over 27% in one participant during an activity of daily living performed using the implanted classifier compared to the surface-based classifier.\n\nFinally\, we evaluated continuous control of the hand and wrist in the same two participants. Participants controlled a virtual hand using a reduced set of hand and wrist rotation targets. Implanted electrodes provided high-correlation control signals for both hand and wrist and outperformed surface electrodes in closed-loop control. In one participant\, implanted and surface decoders were trained and tested in both sitting and arm-out-front postures. Surface decoders tested in a posture different from training exhibited an increase in trial time compared to implanted decoders in a different posture\, along with a reduction in success rate between surface and implanted decoders.\n\nTogether\, these results demonstrate that implanted neural interfaces enable more precise and accurate control of finger and wrist movements. Future work will focus on further improving control through advanced machine learning methods\, improved training data labeling\, and translation to fully implantable systems suitable for use outside the laboratory.\n\nIn-person and on Zoom (Passcode: 680207)
UID:143210-21892426@events.umich.edu
URL:https://events.umich.edu/event/143210
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Robotics,Michigan Robotics,Graduate,Engineering
LOCATION:North Campus Research Complex Building 10 - 001S010 Research Auditorium
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251212T152840
DTSTART;TZID=America/Detroit:20260107T113000
DTEND;TZID=America/Detroit:20260107T130000
SUMMARY:Social / Informal Gathering:IOE Community Event
DESCRIPTION:Join fellow members of the IOE community for some delicious treats in the Community Suite!
UID:142656-21891267@events.umich.edu
URL:https://events.umich.edu/event/142656
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Undergraduate Students,Undergraduate,Michigan Engineering,Industrial And Operations Engineering
LOCATION:Industrial and Operations Engineering Building - Community Suite (IOE 1700)
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260122T063148
DTSTART;TZID=America/Detroit:20260107T120000
DTEND;TZID=America/Detroit:20260107T130000
SUMMARY:Careers / Jobs:Resume Lab
DESCRIPTION:*RSVP required to attend. Click \"Join Event\" here: https://umich.joinhandshake.com/edu/events/1878446Just getting started building a resume? Have a draft but not sure how to make it better? Want to learn about resources available to revise your resume? Wherever you’re at Resume Lab is a great next step for you. Get real-time\, personalized support in a small group setting by checking out the Resume Lab. We will discuss and educate you on…- Design and format- Writing a great bullet point- Targeting your resume for specific internships/jobs If you're a Graduate Student or Recent Grad\, please make a 1:1 appointment instead of attending the Lab because this event is designed for undergraduates. Note: This event's information is shown in Handshake as well as on theHappening @ Michigan calendar so that it will be seen by a larger number of U-M Students.#UCC
UID:143000-21891933@events.umich.edu
URL:https://events.umich.edu/event/143000
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:University Career Center, 3200 Student Activities Building, Program Room (3003), 515 E Jefferson St, Ann Arbor, MI, United States
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20260107T133000
DTEND;TZID=America/Detroit:20260107T150000
SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday
DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324)
UID:117252-21865917@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Analysis,Information and Technology,Data,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Machine Learning
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260105T101053
DTSTART;TZID=America/Detroit:20260107T150000
DTEND;TZID=America/Detroit:20260107T160000
SUMMARY:Workshop / Seminar:Department Colloquium | Probing the Structures of  Pyramids using Cosmic Ray  Muon Tomography
DESCRIPTION:The pyramids of ancient Egypt and of preHispanic Mesoamerica have fascinated people since the cultures that built them vanished into the annals of history. How were they built? What were they used for? Are there unknown internal substructures\, perhaps hidden chambers that have yet to be discovered? Using the detector technology we developed for a particle physics experiment at Fermilab\, we intend to perform non-invasive searches for hidden structures at the Great Pyramid of Khufu\, in Egypt\, and at the Temple of Kukulkán at Chichén Itzá. The apparatus will detect cosmic-ray muons produced high in the atmosphere that course through the pyramids to produce a tomographic image of their interiors. I will describe in detail the technique we are using\, present simulation results\, detector prototype results\, and the status of both experiments.
UID:143172-21892385@events.umich.edu
URL:https://events.umich.edu/event/143172
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Physics,Science
LOCATION:West Hall - 340
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260122T123151
DTSTART;TZID=America/Detroit:20260107T150000
DTEND;TZID=America/Detroit:20260107T160000
SUMMARY:Careers / Jobs:Internship Lab
DESCRIPTION:*RSVP required to attend. Click \"Join Event\" here:https://umich.joinhandshake.com/edu/events/1878467Are you ready to start searching for a great internship? Do you have a few ideas\, but you’re not sure where to get started? Let's talk about search strategy!! Get real-time\, personalized support by checking out the in person Internship Lab. You’ll be guided by one of our Career Coaches who hasdesigned this experience to provide you strategies\, tools\, and motivation to get on the right track with searching for internships. Chat with folks from the University Career Center to explore Handshake\,the University Career Alumni Network (UCAN) and to learn about other tools you can use to build a great job/internship search strategy. **If you're not sure what you're interested in\, consider making an \"Exploring Major/Career Option\" appointment to get started clarifying your interests with a career coach in a 1-on-1 setting. Recent Grads: If you are an alumni\, you will not be able to access the link due the University’s policy of discontinuing alumni Zoom accounts 30 days after graduation. Please contact careercenter@umich.edu with the subject line“Recent Grad Help” to receive either a recording of the session or tobe set up with a 1:1. Include the name of the workshop/event in your email.#UCC
UID:143005-21891938@events.umich.edu
URL:https://events.umich.edu/event/143005
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:University Career Center, 3200 Student Activities Building, Program Room (3003), 515 E Jefferson St, Ann Arbor, MI, United States
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251217T170423
DTSTART;TZID=America/Detroit:20260107T150000
DTEND;TZID=America/Detroit:20260107T180000
SUMMARY:Other:Off-Campus Winter Welcome
DESCRIPTION:Welcoming off-campus students back to campus\, with a fun engagement activity and information about off campus housing resources.
UID:142865-21891745@events.umich.edu
URL:https://events.umich.edu/event/142865
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Transfer Students,Winterwelcome2026,Housing,dean of students office,beyond the diag
LOCATION:Michigan Union - Willis Ward Lounge
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260103T231530
DTSTART;TZID=America/Detroit:20260107T160000
DTEND;TZID=America/Detroit:20260107T170000
SUMMARY:Workshop / Seminar:: Variance strikes back: sub-game--perfect Nash equilibria in time-inconsistent N-player games\, and their mean-field sequel
DESCRIPTION:We investigate a time-inconsistent\, non-Markovian finite-player game in continuous time\, where each player's objective functional depends non-linearly on the expected value of the state process. As a result\, the classical Bellman optimality principle no longer applies. To address this\, we adopt a two-layer game-theoretic framework and seek sub-game--perfect Nash equilibria both at the intra-personal level\, which accounts for time inconsistency\, and at the inter-personal level\, which captures strategic interactions among players. We first characterise sub-game--perfect Nash equilibria and the corresponding value processes of all players through a system of coupled backward stochastic differential equations. We then analyse the mean-field counterpart and its sub-game--perfect mean-field equilibria\, described by a system of McKean-Vlasov backward stochastic differential equations. Building on this representation\, we finally prove the convergence of sub-game--perfect Nash equilibria and their corresponding value processes in the N-player game to their mean-field counterparts. This is joint work with Dylan Possamaï.
UID:143154-21892328@events.umich.edu
URL:https://events.umich.edu/event/143154
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:Off Campus Location
CONTACT:
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