BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Northeastern University College of Engineering - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Northeastern University College of Engineering
X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20200308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20201101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210104
DTEND;VALUE=DATE:20210201
DTSTAMP:20260405T044549
CREATED:20201208T145218Z
LAST-MODIFIED:20201208T145218Z
UID:23430-1609718400-1612137599@coe.northeastern.edu
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210127T130000
DTEND;TZID=America/New_York:20210127T142000
DTSTAMP:20260405T044549
CREATED:20210119T202431Z
LAST-MODIFIED:20210119T202431Z
UID:23862-1611752400-1611757200@coe.northeastern.edu
SUMMARY:ECE Seminar: Dr. Jun Xiao
DESCRIPTION:Seminar Title: 2D Materials For Next-Generation Information Technology: From Functional Material Miniaturization To Energy-Efficient Phase Engineering \nLocation: Zoom Link \nAbstract: The emergence of artificial intelligence and 5G technology is transforming our world with novel applications such as the Internet of Things\, smart manufacturing\, and AI-empowered medical care. However\, this information revolution sets a massive demand for information capacity and energy supply. Such a big challenge urges innovations in device engineering and its material building blocks to boost information capacity and reduce energy consumption. In this talk\, I will focus on the exciting progress of the emergent 2D layered materials and their device engineering in this direction. First\, I will introduce our discovery of intrinsic 2D out-of-plane ferroelectricity in semiconducting In2Se3\, which holds great promise for ferroelectric device miniaturization. I will then present our electrostatic doping control innovation as a new energy-efficient mechanism for structural phase engineering in layered materials. I will further show how we utilize such technology to invent the non-volatile Berry curvature memory\, a new type of energy-efficient quantum devices. Inspired by these findings and techniques\, I will also briefly discuss the exciting future opportunities of leveraging the structure-property relationship and light-matter interactions in layered quantum materials and devices to boost the translation of novel quantum notions into technological advantages for energy-efficient neuromorphic computing\, robust quantum processing\, and biosensing. \nSpeaker Bio: Dr. Jun Xiao is a postdoctoral scholar working with Prof. Aaron Lindenberg in the Department of Materials Science & Engineering and Prof. Tony Heinz in the Department of Applied Physics at Stanford University. He earned his Ph.D. in Applied Science and Technology from UC Berkeley (2018) under Prof. Xiang Zhang’s supervision. His research experience and interests focus on leveraging quantum materials and devices for energy-efficient neuromorphic engineering\, robust quantum computing\, THz sensing\, and high-throughput manufacturing.
URL:https://coe.northeastern.edu/event/ece-seminar-dr-jun-xiao/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210127T150000
DTEND;TZID=America/New_York:20210127T170000
DTSTAMP:20260405T044549
CREATED:20210126T180728Z
LAST-MODIFIED:20210126T180728Z
UID:23940-1611759600-1611766800@coe.northeastern.edu
SUMMARY:AIX Seminar
DESCRIPTION:Please join us for our first AIX Seminar. \nLocation: Zoom Link \nSeminar 1 title: Allostasis and Interoception: Brain-Body Interactions and Implications for Robotics \nSpeakers: Dr. Karen Quigley\, Northeastern University\, and Dr. Erin Reilly\, Veteran Affairs \nAbstract: For much of the history of psychology\, sensation\, perception\, action\, emotion\, and cognition were studied as if they were separate\, biologically-defined faculties — they are not. A prominent current neuroscientific perspective (and variants thereof) suggest that a brain runs an internal\, predictive model or simulation of itself in the world. This model supports all functions achieved by a brain\, and in this view\, predictions constitute the internal model. Our lab has marshaled neuroanatomical evidence that predictions arise from visceromotor control regions in the brain to support anticipated action and other metabolically-costly functions such as learning. Collectively\, these anticipatory regulatory processes are called allostasis. Allostasis is the major task of a brain\, which utilizes 20% of the energetic budget of a human. A brain also requires a body\, which is the effector by which the brain supports maintenance of its own energetic needs. The internal model also is modified by prediction error arising from unanticipated inputs from both exteroceptive (e.g.\, vision) and interoceptive (e.g.\, viscerosensory) sources. Interoceptive sensations provide critical information to the brain about the status of the body\, enabling motor and visceromotor actions that can most efficiently support the brain’s energetic needs. Understanding these biological realities can bring new ideas to both the design of robots\, and also to our understanding of how to optimize humans-robot interactions. \n  \nSeminar 2 title: Improving Interaction using Intelligence \nSpeaker: Dr. Jaime Ruiz\, University of Florida \nAbstract: Adding intelligence to user interfaces provides unique opportunities to improve the way users interact with computing systems. In this talk\, I will give a broad overview of the types of projects undertaken by may lab. I will also highlight several projects that aim to use neration of multimodal interfaces.
URL:https://coe.northeastern.edu/event/aix-seminar/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210128
DTEND;VALUE=DATE:20210131
DTSTAMP:20260405T044549
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210128T110000
DTEND;TZID=America/New_York:20210128T120000
DTSTAMP:20260405T044549
CREATED:20210121T150742Z
LAST-MODIFIED:20210121T150742Z
UID:23891-1611831600-1611835200@coe.northeastern.edu
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210128T123000
DTEND;TZID=America/New_York:20210128T133000
DTSTAMP:20260405T044549
CREATED:20210125T144810Z
LAST-MODIFIED:20210125T144810Z
UID:23903-1611837000-1611840600@coe.northeastern.edu
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210128T141000
DTEND;TZID=America/New_York:20210128T153000
DTSTAMP:20260405T044549
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210129T111500
DTEND;TZID=America/New_York:20210129T124500
DTSTAMP:20260405T044549
CREATED:20210119T202526Z
LAST-MODIFIED:20210119T202526Z
UID:23866-1611918900-1611924300@coe.northeastern.edu
SUMMARY:ECE Seminar: Dr. Yi Li
DESCRIPTION:Seminar Title: Coherent Information Processing with Onchip Hybrid Magnonics \nLocation: Zoom Link \nAbstract: Hybrid dynamic systems have recently attracted great attention due to their applications in quantum computing\, communications\, and sensing. In particular\, they provide a new paradigm for combining platforms and devices that can perform different tasks such as storing\, processing\, and transmitting coherent states. In this talk\, I will discuss the potential in quantum information processing brought by magnon—the collective excitations of magnetization. Magnons exhibit a few key features making them highly competitive in quantum information processing\, namely their strong coupling to microwave photons\, their extraordinary tunability and flexibility for chip-based circuit integration\, as well as their excellent compatibility for coupling with various dynamic media such as mechanical excitations and optical photons for coherent quantum transduction. In the first part\, I will demonstrate strong coupling between magnons and microwave photons by integrating magnetic devices with coplanar superconducting resonators on Si substrate. The on-chip integration of such superconducting hybrid magnonic circuits provides great flexibility in circuit design\, device scalability as well as being extended to the circuit quantum electrodynamics for qubit controls. In the second part\, I will cultivate the dynamic interaction between magnons and excitations with far different frequencies\, such as mechanical excitations and optical photons\, for advanced sensing of magnetic excitations. The device level coupling between diverse excitations suggest a compelling candidate of magnons for building a universal coherent transducer in bridging different quantum systems for extended functionality. \nSpeaker Bio: Dr. Yi Li is currently a postdoc in the Superconductivity and Magnetism Group at Argonne National Laboratory. He has obtained his B.S. degree in Physics from Peking University (2009) and his Ph.D. degree in Materials Science & Engineering from Columbia University (2015). Prior to Argonne he has been a postdoc at CEA Saclay in France for two years (2015-2017). Yi Li’s research focuses on building hybrid quantum magnonic circuits based on microwave superconducting circuits and magnetic devices for their applications in quantum information processing. Yi was the recipient of the Postdoctoral Performance Awards (2020) at Argonne National Laboratory and the IEEE Chicago “Distinguished R&D” Award (2020) for his pioneering work on magnon-photon coupling in superconducting resonator for Quantum Information Science. For more information about his work please visit: https://sites.google.com/view/prc1988.
URL:https://coe.northeastern.edu/event/ece-seminar-dr-yi-li/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210129T150000
DTEND;TZID=America/New_York:20210129T160000
DTSTAMP:20260405T044549
CREATED:20210128T190716Z
LAST-MODIFIED:20210128T190716Z
UID:24004-1611932400-1611936000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Sadjad Asghari Esfeden
DESCRIPTION:PhD Proposal Review: SpatioTemporal Prediction of Object Handover for Human Robot Collaboration \nSadjad Asghari Esfeden \nLocation: Zoom Link \nAbstract: Predicting human behaviour in video is one of the challenging problems in computer vision. In order for robots to be able to interact with humans they need to understand human intent. We study the problem of object handover\, where a robot tries to follow its collaborator’s movement as well as the object of interest to grasp the object in a human-like behavior. Therefore\, the robot should predict a moving object’s time and location of handover. We propose a computer vision based algorithm to help robot understand its environment\, detect\, track\, and predict object and human motions during the task of handover. The perception system enables robot to move towards the locus of handover before it occurs\, and refine its motion when there is a change in human intention. \n 
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-sadjad-asghari-esfeden/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210201T120000
DTEND;TZID=America/New_York:20210201T124500
DTSTAMP:20260405T044549
CREATED:20210113T171419Z
LAST-MODIFIED:20210113T171419Z
UID:23710-1612180800-1612183500@coe.northeastern.edu
SUMMARY:Getting Started with EndNote for Mac
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn how to use EndNote for Mac to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-endnote-for-mac-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210203T120000
DTEND;TZID=America/New_York:20210203T124500
DTSTAMP:20260405T044549
CREATED:20210113T171340Z
LAST-MODIFIED:20210113T171340Z
UID:23717-1612353600-1612356300@coe.northeastern.edu
SUMMARY:Getting Started with EndNote for Windows
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn how to use EndNote for Windows to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-endnote-for-windows-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210203T150000
DTEND;TZID=America/New_York:20210203T154500
DTSTAMP:20260405T044549
CREATED:20210114T164415Z
LAST-MODIFIED:20210114T164415Z
UID:23760-1612364400-1612367100@coe.northeastern.edu
SUMMARY:Getting Started with Mendeley
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn how to use Mendeley to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-mendeley-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210204T150000
DTEND;TZID=America/New_York:20210204T154500
DTSTAMP:20260405T044549
CREATED:20210114T164339Z
LAST-MODIFIED:20210114T164339Z
UID:23765-1612450800-1612453500@coe.northeastern.edu
SUMMARY:Getting Started with RefWorks
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn how to use RefWorks to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-refworks-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210206T090000
DTEND;TZID=America/New_York:20210207T150000
DTSTAMP:20260405T044549
CREATED:20210113T200846Z
LAST-MODIFIED:20210113T200846Z
UID:23738-1612602000-1612710000@coe.northeastern.edu
SUMMARY:Global Health Innovation Summit 2021
DESCRIPTION:Innovators for Global Health at NU is hosting a Global Health Innovation Summit on February 6th-7th. Throughout the event\, students will compete in teams to innovatively solve problems in public health related to racial and ethnic disparities. The two-day event will be packed with panels and workshops that allow students to work closely with professionals from different sectors of public health.  Be sure to register before February 4th; spots are limited! \nFor more information and to register\, visit https://ighnortheastern.wixsite.com/ghis
URL:https://coe.northeastern.edu/event/global-health-innovation-summit-2021/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210208T100000
DTEND;TZID=America/New_York:20210208T110000
DTSTAMP:20260405T044549
CREATED:20210203T145348Z
LAST-MODIFIED:20210203T145348Z
UID:24072-1612778400-1612782000@coe.northeastern.edu
SUMMARY:Experiential Learning: Northeastern Co-op and Career Services - Civil and Environmental Engineering
DESCRIPTION:The Department of Civil and Environmental Engineering at Northeastern University is pleased to present to you the third installment in our Graduate Programs in Civil and Environmental Engineering Webinar Series. \n\n\nThis webinar\, titled Experiential Learning: Northeastern Co-op and Career Services\, will introduce you to the cornerstone of the educational experience at Northeastern: our premier Cooperative Education (Co-op) program. Co-op is an educational model whereby students alternate periods of academic study and full-time employment to gain hands-on\, professional experience in their field of interest\, and build personal connections and contacts. \n\n\nGraduate Programs in Civil and Environmental Engineering Webinar 3: Experiential Learning: Northeastern Co-op and Career Services \n\nThursday\, February 8\, 2021 \n\n\n10:00 – 11:00 AM EST \n\n\nRegister Here \n\n\n\nHosted by Civil and Environmental Engineering Associate Co-op Coordinator Cheryl Arruda\, this webinar will help you understand: \n\n\n\n\n\n\n\nWhat is co-op for MS students? How is co-op different than an internship?\nWhere can I go on co-op?\nWho can participate in Co-op\, and what is the process like for international students?\nWhat is available in Northeastern’s Career Services office\, frequently ranked #1 in the US?\nHear experiences from current MS students about their co-ops\, and ask your questions.\nAnd more!\n\n\n\n\n\n\n\nLocated in Boston\, Massachusetts\, New England’s largest city\, Northeastern University is a wonderful place to study and live. Our city is home to world-class entertainment\, restaurants\, and sporting venues\, a diverse and dynamic economy\, and a thriving community of academic institutions. \n\n\nApply now! \n\n\nThis webinar content will be useful for both those who have already applied and those still considering applying. An application fee waiver code for those who have not yet applied will be included. Check the deadlines for applying for graduate study.
URL:https://coe.northeastern.edu/event/experiential-learning-northeastern-co-op-and-career-services-civil-and-environmental-engineering/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210209T140000
DTEND;TZID=America/New_York:20210209T150000
DTSTAMP:20260405T044549
CREATED:20210203T145506Z
LAST-MODIFIED:20210203T145506Z
UID:24112-1612879200-1612882800@coe.northeastern.edu
SUMMARY:Galante Event: Info Session
DESCRIPTION:The Galante Engineering Business Program is holding an Info Session on February 9th from 2:00-3:00pm via Zoom. \nNortheastern University’s Galante Engineering Business Program offers a progressive opportunity for engineering students to complement their technical engineering education with business skills by earning a graduate certificate in engineering business. Galante is founded on the values of student engagement and leadership to strengthen interpersonal and professional skills. Integrating an engineering education with a business background allows students to perfect their communication\, leadership\, and teamwork capabilities. Please RSVP to the Info Session.  \nPlease feel free to reach out with any questions Galante@northeastern.edu or visit the Galante Website to learn more.
URL:https://coe.northeastern.edu/event/galante-event-info-session/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210209T150000
DTEND;TZID=America/New_York:20210209T160000
DTSTAMP:20260405T044549
CREATED:20210205T194624Z
LAST-MODIFIED:20210205T194624Z
UID:24155-1612882800-1612886400@coe.northeastern.edu
SUMMARY:ECE Seminar: David M. Rosen
DESCRIPTION:Title: Provably Sound Perception for Reliable Autonomy \nDavid M. Rosen \nLocation: Zoom Link \nAbstract:  Machine perception — the ability to construct accurate models of the world from raw sensor data — is an essential capability for mobile robots\, supporting such fundamental functions as planning\, navigation\, and control.  However\, the development of algorithms for robotic perception that are both *practical* and *reliable* presents a formidable challenge: such methods must be capable of solving complex estimation tasks in real-time on resource-limited mobile platforms\, while remaining robust to challenges such as sensor noise\, uncertain or misspecified perceptual models\, and potentially contaminated measurements. In this talk\, I show how one can meet these challenges through the design of practical perception methods that are both *computationally efficient* and *provably sound*\, focusing on the foundational problem of spatial perception.  I begin with a brief introduction to pose-graph optimization (PGO): this problem lies at the core of many fundamental spatial perception tasks (including robotic mapping\, sensor network localization\, and 3D visual reconstruction)\, but is high-dimensional and nonconvex\, and therefore challenging to solve in general. Nevertheless\, I show how one can leverage convex relaxation to efficiently recover *exact\, certifiably optimal* PGO solutions in a noise regime that encompasses most practical robotics and computer vision applications.  Our algorithm\, SE-Sync\, is the first practical method provably capable of recovering correct (globally optimal) PGO solutions. Next\, I address the design of machine learning methods for spatial perception\, focusing on the fundamental problem of rotation estimation.  I show that topological obstructions can actually prevent deep neural networks (DNNs) employing common rotation parameterizations (e.g. quaternions) from learning to estimate widely-dispersed rotation targets\, as is required in (for example) object pose estimation. I then describe a novel parameterization of 3D rotations that overcomes this obstruction\, and that supports an explicit notion of uncertainty in our DNNs’ predictions.  Experiments confirm that (as predicted by theory) DNNs employing this representation achieve superior accuracy and reliability when applied to object pose estimation\, and that their predicted uncertainties enable the reliable identification of out-of-distribution test examples (including corrupted inputs). Finally\, I will conclude with a discussion of future directions that aim to unify provably sound estimation and learning methods\, thereby enabling the creation of perception systems with both the *robustness* and *adaptability* necessary to support reliable long-term autonomy in the real world. \nSpeaker Bio:  David M. Rosen is a postdoctoral associate in the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology.  His research addresses the design of practical provably robust methods for machine perception\, using a combination of tools from optimization\, geometry\, algebra\, and probabilistic inference.  He holds the degrees of BS in Mathematics from the California Institute of Technology (2008)\, MA in Mathematics from the University of Texas at Austin (2010)\, and ScD in Computer Science from the Massachusetts Institute of Technology.  Prior to joining LIDS\, he was a Research Scientist at Oculus Research (now Facebook Reality Labs) in Seattle.His work has been recognized with a Best Paper Award at the 2016 International Workshop on the Algorithmic Foundations of Robotics\, an RSS Pioneer Award at Robotics: Science and Systems 2019\, and a Best Student Paper Award at Robotics: Science and Systems 2020.
URL:https://coe.northeastern.edu/event/ece-seminar-david-m-rosen/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210209T190000
DTEND;TZID=America/New_York:20210209T200000
DTSTAMP:20260405T044549
CREATED:20210208T145751Z
LAST-MODIFIED:20210208T145751Z
UID:24180-1612897200-1612900800@coe.northeastern.edu
SUMMARY:Origami with Graduate Women in Science and Engineering
DESCRIPTION:Join the Graduate Women in Science and Engineering for community time this Tuesday at 7 PM on MS Teams. We will be making some origami and chatting!
URL:https://coe.northeastern.edu/event/origami-with-graduate-women-in-science-and-engineering/
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210210T120000
DTEND;TZID=America/New_York:20210210T130000
DTSTAMP:20260405T044549
CREATED:20210204T204347Z
LAST-MODIFIED:20210204T204421Z
UID:24149-1612958400-1612962000@coe.northeastern.edu
SUMMARY:ChE Seminar: Organic Aqueous Flow Batteries for Massive Electrical Energy
DESCRIPTION:Michael J. Aziz\nGene and Tracy Sykes Professor of Materials and Energy Technologies\, Harvard John A. Paulson School of Engineering and Applied Sciences\nHarvard University \nOrganic Aqueous Flow Batteries for Massive Electrical Energy \nAbstract \nThe ability to store large amounts of electrical energy is of increasing importance with the growing fraction of electricity generation from intermittent renewable sources such as wind and solar. \nFlow batteries show promise because the designer can independently scale the power (electrode area) and energy (arbitrarily large storage volume) components of the system by maintaining all electro-active species in fluids. The wide-scale utilization of flow batteries is limited by the abundance and cost of these materials. \nWe have developed an approach to electricity storage in flow batteries using the aqueous redox chemistry of small\, potentially inexpensive organic and organometallic molecules. This new approach may enable massive electrical energy storage at a greatly reduced cost. \nBiography \nMichael J. Aziz has been a member of the faculty at what is now the Harvard John A. Paulson School of Engineering and Applied Sciences since he joined in 1986 and is now Gene and Tracy Sykes Professor of Materials and Energy Technologies. His recent research interests include novel materials and processes for energy technology and greenhouse gas mitigation. He is co-inventor of the organic aqueous flow battery and directs multi-investigator research programs on stationary electrical energy storage and porous electrodes. He is a Fellow of the APS\, the MRS\, and the AAAS and is the co-recipient of the 2019 Energy Frontiers Prize from Eni. \nIf you would like access to the virtual seminar\, please contact a.ramsey@northeastern.edu
URL:https://coe.northeastern.edu/event/che-seminar-organic-aqueous-flow-batteries-for-massive-electrical-energy/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210210T173000
DTEND;TZID=America/Los_Angeles:20210210T183000
DTSTAMP:20260405T044549
CREATED:20210202T185702Z
LAST-MODIFIED:20210202T185702Z
UID:24102-1612978200-1612981800@coe.northeastern.edu
SUMMARY:Northeastern University-Seattle Virtual Engineering Info Session
DESCRIPTION:Join Seattle Campus Recruiter\, Stephanie Curtiss\, College of Engineering Recruiter\, Marissa Brush\, and current engineering student ambassador\, Ramya Hebbar\, to learn about advancing your engineering and technical career at our Virtual Engineering Info Session in Seattle. Studying at our South Lake Union campus in the heart of Seattle\, Northeastern College of Engineering students have unique opportunities to pursue co-ops and learn from experts in the local industry. \nFeatured Programs: \n\nMS in Information Systems: Includes a Non-STEM Bridge Pathway\nMS in Data Analytics Engineering\n\nOur virtual session will include: \n\nThe curriculum and career outlook for each program\nDetails about Northeastern’s top-tier co-op program\nOpen Q&A with staff and current engineering student\n\nRegister Today!
URL:https://coe.northeastern.edu/event/northeastern-university-seattle-virtual-engineering-info-session/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210211T120000
DTEND;TZID=America/New_York:20210211T124500
DTSTAMP:20260405T044549
CREATED:20210114T164223Z
LAST-MODIFIED:20210114T164223Z
UID:23775-1613044800-1613047500@coe.northeastern.edu
SUMMARY:Getting Started with BibTeX
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn how to use BibTeX to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-bibtex/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210212T120000
DTEND;TZID=America/New_York:20210212T124500
DTSTAMP:20260405T044549
CREATED:20210114T164142Z
LAST-MODIFIED:20210114T164142Z
UID:23780-1613131200-1613133900@coe.northeastern.edu
SUMMARY:10 Advanced EndNote Features
DESCRIPTION:Start your spring 2021 research off on the right foot with Northeastern University Library’s series of online workshops and webinars. In this workshop\, learn how to use advanced EndNote features to manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/10-advanced-endnote-features-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210212T120000
DTEND;TZID=America/New_York:20210212T130000
DTSTAMP:20260405T044549
CREATED:20210201T210638Z
LAST-MODIFIED:20210201T210749Z
UID:24062-1613131200-1613134800@coe.northeastern.edu
SUMMARY:CEE Lunch & Learn Seminar Series: Smoke\, Satellites\, and Storage Bins: AER’s Research in Air Quality and Greenhouse Gases
DESCRIPTION:The Department of Civil and Environmental Engineering is pleased to announce the second event in our Lunch & Learn Seminar Series. \nThis event will feature Matthew Alvarado of AER\, discussing “Smoke\, Satellites\, and Storage Bins: AER’s Research in Air Quality and Greenhouse Gases.” \nIf you are planning to attend\, please RSVP for this event so we may get a proper headcount and share it with your colleagues and post-docs who you think may be interested. Details on how to attend will be sent to those who RSVP. \nRSVP for this event \n\n\nAbout Lunch & Learn: \n\n\nThis bimonthly seminar series focuses on convergent research\, bringing together Northeastern colleagues and collaborators to think big/bold\, explore ideas that build cooperation and foster transformative innovation within CEE and across disciplines beyond CEE. \n\n\nBelow\, you may find participation information. This event is virtual via Microsoft Teams- RSVP to receive the link. Please contact Professor Yang Zhang (ya.zhang@northeastern.edu) with any questions. \n\n\n\n\n\n\nTopic: CEE Lunch & Learn:  \nSmoke\, Satellites\, and Storage Bins: AER’s Research in Air Quality and Greenhouse Gases \n\n\n\n\n\n\n\nTime: February 12\, 2021 12:00 PM Eastern Time (Boston) \nThis talk will discuss three topics from AER’s recent and on-going research into air quality and greenhouse gases. First we will discuss the efforts at AER to improve our ability to model the impacts of biomass burning on ozone and PM2.5\, with a focus on the chemistry that takes place within the smoke after emission. We will then discuss the use of satellite observations in air quality studies and monitoring\, including work at AER to better constrain sources of ammonia\, carbon dioxide\, and methane. Finally\, we will discuss a recent consulting project where we looked into the physics and chemistry of smoke from fires at eclectic storage facilities and made recommendations for how to model the impacts for planning and emergency response purposes. We will also discuss how AER has partnered with universities\, national labs\, and other organizations in pursuing these research topics.
URL:https://coe.northeastern.edu/event/cee-lunch-learn-seminar-series-smoke-satellites-and-storage-bins-aers-research-in-air-quality-and-greenhouse-gases/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210212T180000
DTEND;TZID=America/New_York:20210212T200000
DTSTAMP:20260405T044549
CREATED:20210205T214441Z
LAST-MODIFIED:20210205T214441Z
UID:24176-1613152800-1613160000@coe.northeastern.edu
SUMMARY:CEE Department Graduate Student Social
DESCRIPTION:Join the Civil and Environmental Engineering Department’s Graduate Student Council (CEE GSC) for our annual Chinese New Year Social on February 12\, at 6 PM EST\, on zoom. \nWe will hang out\, play games\, and maybe explore some virtual environments.
URL:https://coe.northeastern.edu/event/cee-department-graduate-student-social/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210213T110000
DTEND;TZID=America/New_York:20210213T133000
DTSTAMP:20260405T044549
CREATED:20210202T144618Z
LAST-MODIFIED:20210208T150858Z
UID:24086-1613214000-1613223000@coe.northeastern.edu
SUMMARY:Innovation in Self Development + Wellness: A WISE Webinar
DESCRIPTION:Explore the intersections of entrepreneurship and personal development with the Women’s Interdisciplinary Society of Entrepreneurship at Northeastern University! On Saturday\, Feb. 13\, our community will have the chance to hear from experts on investing in yourself as a young professional\, and letting your mind rest and reflect during times of uncertainty. At the start of the webinar\, we will be leading a discussion on tackling imposter syndrome early in your career with Christmas Hutchinson\, Career Confidence Coach and Author of The Resilient Mind: A Field Guide to a Healthier Way of Life. After that\, we will meet Olivia Bowser\, Founder of Liberate Studio\, the world’s first mental wellness studio. Olivia will touch on her experience being a founder in the wellness industry and will guide us through an activity to show us the power of mindfulness and how to implement it into our lives. Finally\, attendees will get the chance to interact with each other and discuss a range of topics within the wellness world during our Self Care Coffee Chat session. \nRSVP here: https://www.eventbrite.com/e/innovation-in-self-development-wellness-a-wise-webinar-tickets-139323491313
URL:https://coe.northeastern.edu/event/innovation-in-self-development-wellness-a-wise-webinar/
CATEGORIES:use the department, audience, and topic lists
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210216T100000
DTEND;TZID=America/New_York:20210217T190000
DTSTAMP:20260405T044549
CREATED:20210120T194629Z
LAST-MODIFIED:20210201T150240Z
UID:23883-1613469600-1613588400@coe.northeastern.edu
SUMMARY:NSF Workshop on Predictive Intelligence for Pandemic Prevention
DESCRIPTION:NSF Predictive Intelligence for Pandemic Prevention (PIPP) Workshop – Pandemic Readiness for Emerging Pathogens (PREP)  \nThe goal is to foster scientific discussion and catalyze innovation and partnerships to significantly enhance our understanding of the challenges and potential solutions to rapid detection and assessment of emerging pathogens and infectious disease dynamics from the molecular to the ecological scale. We invite participants from academia\, government\, industry and non-governmental organizations from varied disciplines: Engineering (ENG)\, Biological Sciences (BIO)\, Computer and Information Science and Engineering (CISE)\, and Social\, Behavioral and Economic Sciences (SBE). \nPREP has four topical thrusts: \n1) Rapid and Accurate Detection and Assessment of Emerging Pathogens \n2) Monitoring Environmental Change\, Animal Movements\, and High-Risk Interfaces for Disease Transmission \n3) Monitoring Human Movements and At-risk Communities for Disease Transmission and Spread \n4) Data-Intensive Machine Learning and Modeling for Pandemic Preparedness. \nEach topical thrust has vision talks\, panels\, and breakout sessions.\nThe goal of the workshop is a roadmap for research investments to address key technical and scientific challenges for pandemic prevention. \nFor more information\, agenda\, list of invited speakers\, and registration: https://thepipp.org \nDirect registration \n\nOrganized by ECE Professor Nian X. Sun with support from NSF grant.
URL:https://coe.northeastern.edu/event/nsf-workshop-on-predictive-intelligence-for-pandemic-prevention/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210217T110000
DTEND;TZID=America/New_York:20210217T120000
DTSTAMP:20260405T044549
CREATED:20210208T164141Z
LAST-MODIFIED:20210208T164141Z
UID:24185-1613559600-1613563200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Andre Langner
DESCRIPTION:PhD Proposal Review: Multi-area Distribution State Estimation Using a Virtual Reference \nAndre Langner \nLocation: Teams Link \nAbstract: State Estimation (SE) is the backbone of modern Energy Management System due to its capability of processing real-time measurements and provide reliable information to system operators. Since its introduction to power systems in the ’70s\, SE has been widely used in transmission networks. Distribution grids\, on the other hand\, lack sufficient number of real-time measurements\, and for that reason\, SE has not been widely implemented on these systems. The recent increase in the number of renewable energy sources connected to the grid at lower voltage levels\, the advent of Distribution Automation\, and Smart Grids necessitate closer monitoring of distribution networks. Thus\, forcing utilities to upgrade their operations and deploy Advanced Distribution Management Systems. Therefore\, Distribution System State Estimation (DSSE) is paramount to provide real-time monitoring of active distribution grids. In the first part of this proposal\, a three-phase distribution system state estimator is presented\, especially for highly unbalanced networks. In the second part\, the Multi-area State Estimation (MASE) approach is proposed to distribution systems\, by a partition into non-overlapping areas\, aiming at reducing the overall execution time. Furthermore\, it is also proposed to combine MASE along with the so-called Generalized State Estimation to identify topology errors causing divergence in the state estimation process.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-andre-langner/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210217T120000
DTEND;TZID=America/New_York:20210217T130000
DTSTAMP:20260405T044549
CREATED:20210212T145512Z
LAST-MODIFIED:20210212T145512Z
UID:24317-1613563200-1613566800@coe.northeastern.edu
SUMMARY:ChE Seminar: 3D Printing End-Functionalized Polymer Conjugates to Fabricate Spatially Organized Biomaterials
DESCRIPTION:Lesley W. Chow\, Ph.D.\nDepartment of Materials Science and Engineering\nDepartment of Bioengineering\nLehigh University \n3D Printing End-Functionalized Polymer Conjugates to Fabricate Spatially Organized Biomaterials \nAbstract: Biodegradable polymer scaffolds for tissue engineering can be functionalized with specific chemistries to direct desired cellular behavior and matrix formation. These scaffolds are typically modified post-fabrication\, which can lead to undesirable changes in scaffold properties. In addition\, most functionalization strategies result in homogeneously distributed chemistries that fail to mimic the anisotropic biochemical organization found in native tissues. To address these challenges\, we developed a versatile platform where end-functionalized polymer conjugates are 3D printed into well-defined patterns. The end groups (i.e.\, peptides\, bioorthogonal chemistries) on the conjugate become displayed on the surface during fabrication to generate functionalized scaffolds in a single step without affecting scaffold architecture. This strategy also enables us to control the spatial organization of multiple chemistries within a continuous construct. This seminar will describe our platform and discuss how we are using this modular approach to fabricate scaffolds to direct osteochondral tissue regeneration. \nBiography: Dr. Lesley Chow is a Frank Hook Assistant Professor jointly appointed in the Departments of Materials Science and Engineering and Bioengineering at Lehigh University. She was recently appointed to the Harold Chambers Junior Professorship in 2019 and received the NSF CAREER Award in 2020. She joined Lehigh following her postdoctoral training at Imperial College London in the Departments of Materials and Bioengineering. She received her B.S. in Materials Science and Engineering from the University of Florida and her Ph.D. in Materials Science and Engineering from Northwestern University. \nPlease contact Alyssa Ramsey a.ramsey@northeastern.edu for the link information.
URL:https://coe.northeastern.edu/event/che-seminar-3d-printing-end-functionalized-polymer-conjugates-to-fabricate-spatially-organized-biomaterials/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210218T150000
DTEND;TZID=America/New_York:20210218T160000
DTSTAMP:20260405T044549
CREATED:20210125T144649Z
LAST-MODIFIED:20210125T144649Z
UID:23908-1613660400-1613664000@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Shadi Emam
DESCRIPTION:PhD Dissertation Defense: Devices and Methods for Diagnosis from Exhaled Breath \nShadi Emam \nLocation: 325 DA \nAbstract: A novel electrochemical gas sensor was developed with a variety of applications. The sensor is composed of four layers: Silicon substrate\, Chromium\, Graphene-Prussian blue\, and molecularly imprinting polymer (MIP). Molecular imprinting technology is a technique to polymerize around a template molecule. Subsequent removal of the template molecule leaves cavities in the polymer matrix with an affinity for a chosen template molecule. The sensor was applied toward the early diagnosis of Alzheimer’s disease first. Three sensors were fabricated to detect three biomarkers of Alzheimer’s disease in the exhaled breath. The sensors were tested against three cohorts of rats: young healthy control\, old on high fat/high sugar diet and\, old on high fat/high sugar with Alzheimer’s human gene APOE4. The sensor only detected the 3 biomarkers from the exhaled breath of the rats from the last cohort. The MRI results of the rats’ brain also confirmed the sensors readings. The sensors were then applied toward the diagnosis of lung cancer at an early stage and detection of controlled substances in the air/exhaled breath/body fluid. Recently\, sensors were fabricated and tested to detest SARS-CoV-2. With some modification to the basic and structure of the sensors\, 3 generations of SARS-CoV-2 sensors were developed and tested. The second generation was developed in order to enhance the sensitivity of the sensors. By proper functionalization of the graphene layer\, the sensitivity of the sensors increased 80\,000 times. The third generation of the sensors was fabricated with the goal of selectivity and using functional monomers. These sensors were tested against bovine serum albumin (BSA)\, water\, phosphate buffer solution (PBS)\, the Middle East respiratory syndrome (MERS)\, severe acute respiratory syndrome (SARS)\, Ebola\, and flu virus. The third generation of sensors is highly selective and consistent compared to the previous generation. While the first generation sensor was 37.5% selective and 61% sensitive\, the third generation sensor was 75% selective and 80% selective. \n 
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-shadi-emam/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210219T130000
DTEND;TZID=America/New_York:20210219T133000
DTSTAMP:20260405T044549
CREATED:20210209T221633Z
LAST-MODIFIED:20210209T221633Z
UID:24263-1613739600-1613741400@coe.northeastern.edu
SUMMARY:Pathways in Research Dissemination
DESCRIPTION:Why\, how\, and when should you share your research work? The Northeastern COE CommLab will host a webinar discussing the importance of disseminating research and the different tools you can use to share your research findings. These tools range from elevator pitches and peer-reviewed research articles to creating and maintaining your online presence as a researcher. Such diverse approaches in disseminating your research can be applied to any field or any part of your professional development journey. This is an introductory webinar that provides an overview of different dissemination tools. Then\, throughout the coming months\, the CommLab will offer interactive workshops that will provide in-depth information on each approach to help move you forward in your career through the impactful and appropriate dissemination of your work. Register for the Zoom Webinar  (Register with your Northeastern University Zoom Credentials)
URL:https://coe.northeastern.edu/event/pathways-in-research-dissemination/
END:VEVENT
END:VCALENDAR