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X-WR-CALDESC:Events for Northeastern University College of Engineering
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DTSTART;VALUE=DATE:20210104
DTEND;VALUE=DATE:20210201
DTSTAMP:20260428T211949
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SUMMARY:Lifelong Learning: On Demand – Innovative Uses of Artificial Intelligence
DESCRIPTION:The Office of Alumni Relations is hosting “Lifelong Learning: On Demand – Innovative Uses of Artificial Intelligence”. Be introduced to a few innovative uses of AI in the fields of healthcare\, computers\, and robotics. Learn from Northeastern faculty experts Craig Johnson and Taskin Padir. This complimentary\, online program is available to you on demand from January 4 to 31. An opportunity to earn a non-credit digital badge is available. \nRegister Now
URL:https://coe.northeastern.edu/event/lifelong-learning-on-demand-innovative-uses-of-artificial-intelligence/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210128
DTEND;VALUE=DATE:20210131
DTSTAMP:20260428T211949
CREATED:20210119T190824Z
LAST-MODIFIED:20210119T190824Z
UID:23797-1611792000-1612051199@coe.northeastern.edu
SUMMARY:CILS Film Screening: Picture A Scientist
DESCRIPTION:The Institute for Chemical Imaging of Living Systems (CILS) is hosting a virtual screening of Picture A Scientist. This award-winning documentary draws attention to the challenges facing women and minority scientists. \nRegister for the screening through the following link: https://forms.gle/SNQjrFQQt5zYduMk7 \nThe showing will be the start of monthly learning events hosted by CILS where new imaging modalities or microscopic techniques that are available through CILS will be highlighted and explained. View the CILS facilities. \nStay tuned for a panel discussion hosted by the Department of Chemistry about the film.
URL:https://coe.northeastern.edu/event/cils-film-screening-picture-a-scientist/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210128T110000
DTEND;TZID=America/New_York:20210128T120000
DTSTAMP:20260428T211949
CREATED:20210121T150742Z
LAST-MODIFIED:20210121T150742Z
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SUMMARY:CommuniTEA Time
DESCRIPTION:Graduate Women in Science and Engineering is hosting CommuniTEA time on Thursday\, 1/29 at 11 AM EST. Come chit chat with us and sip on your favorite mid-morning beverage. Join the virtual sipping circle at bit.ly/gwisetea. See you there! \nJoin our email list at bit.ly/GWISEJoin and our MS Teams at bit.ly/GWISETeam
URL:https://coe.northeastern.edu/event/communitea-time/
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
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DTSTART;TZID=America/New_York:20210128T123000
DTEND;TZID=America/New_York:20210128T133000
DTSTAMP:20260428T211949
CREATED:20210125T144810Z
LAST-MODIFIED:20210125T144810Z
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SUMMARY:ECE Seminar: Seungmoon Song
DESCRIPTION:Seminar Title: Toward predictive simulation of human movement – for assistive devices and rehabilitation treatment  \nLocation: Zoom Link \nAbstract: I will present my research towards predictive simulations of human movement for assistive devices and rehabilitation treatment. First\, I will talk about a neuromechanical control model based on simple reflexes. The model can generate diverse locomotion behaviors\, react to perturbations similarly to humans\, and explain why walking performance declines with age. However\, as the model was focused on low-level motor control primarily for steady locomotion behaviors\, extending and verifying the model for more complex movements and reactions is necessary for producing reliable predictions for novel scenarios. In the later part\, I will present recent projects on conducting a human experiment with gait assistive exoskeletons and using deep reinforcement learning to developing complex control models. In the experimental study\, we found using human-in-the-loop optimization that it is possible to substantially increase self-selected walking speed with ankle exoskeletons. Regarding deep reinforcement learning\, we organized the Learn to Move competition\, where participants developed controllers for a human musculoskeletal simulation model. The competition has been organized at the NeurIPS conference since 2017 and has attracted over 1300 teams from around the world. At last\, I will discuss my plan of incorporating rigorous experimental validations and advanced computational techniques toward neuromechanical models that could change the way we design rehabilitation treatment and study human movement. \nSpeaker Bio: Seungmoon Song is a postdoctoral researcher in the Mechanical Engineering Department of Stanford University. He is also a recipient of an NIH K99 award and the lead organizer of the NeurIPS: Learn to Move competition. His research focuses on modeling the neuromechanics of human movement and applying it to rehabilitation and robotics. As a postdoc\, he is working on improving human walking performance with exoskeleton assistance using human-in-the-loop optimization. During his Ph.D. at the Robotics Institute of Carnegie Mellon University\, he proposed a reflex-based control model that could explain various aspects of human locomotion including diverse locomotion behaviors of healthy adults\, responses to unexpected disturbances\, and performance degradation in aging.
URL:https://coe.northeastern.edu/event/ece-seminar-seungmoon-song/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210128T141000
DTEND;TZID=America/New_York:20210128T153000
DTSTAMP:20260428T211949
CREATED:20210119T202302Z
LAST-MODIFIED:20210119T202302Z
UID:23856-1611843000-1611847800@coe.northeastern.edu
SUMMARY:ECE Seminar: Dr. Xufeng Zhang
DESCRIPTION:Seminar Title: Advancing Quantum Information Science With Hybrid Cavity Magnonics \nLocation: Zoom Link \nAbstract: With recent demonstration of quantum computers and quantum communication\, quantum technologies have started to change our world in an unprecedented way. To fully explore the power of quantum information science and technology\, it is critical to further combine discrete quantum elements and build distributed quantum networks. However\, this poses significant technical challenges because the quantum coherence can be easily destroyed as the weak quantum signal propagates across different systems. In this talk\, I will show that magnons — the collective excitations of magnetization — provide a promising solution for efficiently transducing quantum information among different systems while preserving the delicate quantum coherence. Specifically\, cavity magnonics can be conveniently hybridized with other physical platforms that operate in the microwave\, mechanical and optical domains because of its exceptional compatibilities with them. Moreover\, thanks to the large spin density in our magnonic system\, the interactions between magnons and the information carriers used in other systems (such as photons and phonons) are drastically boosted\, providing elevated protection for the signal coherence. Most importantly\, the excellent tunability of magnons permits unparalleled manipulation for the signal transduction. Therefore\, high-fidelity magnon-based signal transduction can be achieved. I will finish the talk by describing opportunities and our efforts toward quantum operations and on-chip integration of hybrid cavity magnonics. \nSpeaker Bio: Dr. Xufeng Zhang has been working as an assistant scientist at the Center for Nanoscale Materials\, Argonne National Laboratory\, and CASE fellow of the University of Chicago since 2018. Dr. Zhang received his Ph.D. in Engineering from Yale University in 2016\, where he worked on hybrid magnonic devices in Prof. Hong Tang’s group. He is the winner of the Henry Prentiss Becton Graduate Prize for his exceptional graduate research at Yale University. After graduation he joined Argonne National Laboratory as the Nikola-Tesla postdoctoral fellow. His research interests include hybrid quantum devices\, magnon spintronics\, integrated photonics\, nanomechanics\, and high frequency devices.
URL:https://coe.northeastern.edu/event/ece-seminar-dr-xufeng-zhang/
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