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X-WR-CALDESC:Events for Northeastern University College of Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210314T090000
DTEND;TZID=America/New_York:20210314T100000
DTSTAMP:20260405T065007
CREATED:20210225T222057Z
LAST-MODIFIED:20210225T222057Z
UID:24714-1615712400-1615716000@coe.northeastern.edu
SUMMARY:Overview of the Graduate School of Engineering
DESCRIPTION:Bold\, interdisciplinary\, and experiential with a focus on innovating for society. Northeastern University’s Graduate School of Engineering encompasses top-ranked\, highly selective\, R1 research programs that combine rigorous academics with experiential learning and convergent research to prepare the next generation of engineering leaders to address the complex challenges of global society. Kelly Egorova\, Assistant Director for Graduate Admissions\, will discuss the parameters for success as you begin your application process. She will provide an overview of the 6 departments\, Co-op with the College’s 800 industry partners\, and opportunities for engagement with the graduate student ambassadors. Webinar details are below: \nRegister Today: https://us02web.zoom.us/webinar/register/WN_BQJh3XBsTkSOKHI37FK1-A
URL:https://coe.northeastern.edu/event/overview-of-the-graduate-school-of-engineering/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210314T130000
DTEND;TZID=America/New_York:20210314T170000
DTSTAMP:20260405T065007
CREATED:20210127T195635Z
LAST-MODIFIED:20210127T195635Z
UID:23980-1615726800-1615741200@coe.northeastern.edu
SUMMARY:Tau Beta Pi Chess Tournament
DESCRIPTION:In honor of Pi Day this year\, Tau Beta Pi is holding a virtual chess tournament for the engineering community on Sunday\, March 14th starting at 1 PM. To participate\, each player will need to pay a fee of $5 and all fundraising from the tournament will go to charity. \nIf you’re interested in playing\, please fill out this form: https://bit.ly/3o3wUyD \nThe event will be open to all engineers.
URL:https://coe.northeastern.edu/event/tau-beta-pi-chess-tournament/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210317
DTEND;VALUE=DATE:20210422
DTSTAMP:20260405T065007
CREATED:20210318T134829Z
LAST-MODIFIED:20210318T134829Z
UID:25081-1615939200-1619049599@coe.northeastern.edu
SUMMARY:Study Recruitment: Ancient Techniques and Mental Health Today
DESCRIPTION:Northeastern Department of Philosophy & Religion  \nHave you been experiencing stress and anxiety? \nYou may be eligible to participate in our study! \nHelp us investigate the impact of mindfulness on various life outcomes! All components of this study will take place virtually; participants will be asked to attend two 30-minute Zoom sessions in addition to up to 5 weeks of short\, daily smartphone tasks. \nYou must be 18 years or older\, a Boston-based Northeastern undergraduate student\, and a native English speaker to be eligible to participate. \nParticipants will receive $80 in compensation. \nContact us at pwolstudy@gmail.com if you’re interested and to see if you are eligible! \nThis study has been reviewed and approved by the Northeastern University Institutional Review Board (#21-02-21).
URL:https://coe.northeastern.edu/event/study-recruitment-ancient-techniques-and-mental-health-today/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210317T120000
DTEND;TZID=America/New_York:20210317T130000
DTSTAMP:20260405T065007
CREATED:20210315T134305Z
LAST-MODIFIED:20210315T134305Z
UID:24971-1615982400-1615986000@coe.northeastern.edu
SUMMARY:Active colloidal fluids: a new paradigm in self-assembly
DESCRIPTION:ChE Seminar Series Presents:\n \nPetia M. Vlahovska\, PhD\nProfessor of Engineering Sciences and Applied Mathematics (by courtesy)\nMechanical Engineering\, Northwestern University \nTitle: Active colloidal fluids: a new paradigm in self-assembly \nAbstract:  \nFlocks of birds and schools of fish are familiar examples of emergent collective behavior\, where interactions between self-propelled (active) individuals lead to coherent motion on a scale much larger than the isolated unit. Similar phenomena have been observed with active micro-particles such as bacteria and motile colloids.  Recently\, the Quincke instability (spontaneous spinning of a dielectric particle in an applied uniform DC field) has attracted great interest as a means of propelling colloids\, by simply letting the particles roll on a surface.   In this talk\, I will present our experiments showing how Quincke rollers\, previously studied mainly as active Brownian particles\, can be designed to perform Run-and-Tumble-like locomotion mimicking bacteria such as E. coli. Populations of the Quincke random walkers self-organize and exhibit behaviors reminiscent of bacterial suspensions such as dynamic clusters and mesoscale turbulent-like flows. When enclosed in a drop\, the Quincke rollers drive strong shape fluctuations and drop motility resembling amoeba crawling. I will also discuss some novel collective dynamics of Quincke rotors levitating in a bulk fluid: unlike the rollers\, the “hovers” form crystals\, chains and other dynamical assemblies. \nBio: \nPetia M. Vlahovska received a PhD in chemical engineering from Yale (2003) and MS in chemistry from Sofia University\, Bulgaria (1994). She was a postdoctoral fellow in the Membrane Biophysics Lab at the Max Planck Institute of Colloids and Interfaces and spent ten years on the faculty at Dartmouth College and Brown University\, before joining the faculty at Northwestern University in 2017. Her research is in fluid dynamics\, membrane biophysics\, and soft matter. Dr. Vlahovska is the recipient of David Crighton Fellowship (2005)\, NSF Career Award (2009) and a Humboldt Fellowship (2016). In 2019\, she was elected fellow of the American Physical Society. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/active-colloidal-fluids-a-new-paradigm-in-self-assembly/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210317T193000
DTEND;TZID=America/New_York:20210317T203000
DTSTAMP:20260405T065007
CREATED:20210315T135158Z
LAST-MODIFIED:20210315T135158Z
UID:24957-1616009400-1616013000@coe.northeastern.edu
SUMMARY:NUASCE Virtual Game Night
DESCRIPTION: Come join NUASCE for a virtual game night over Zoom. It will be Wednesday\, March 17th at 7:30 pm. Socialize with your fellow CIVE and ENVE classmates! \nZoom link
URL:https://coe.northeastern.edu/event/nuasce-virtual-game-night/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210318T123000
DTEND;TZID=America/New_York:20210318T133000
DTSTAMP:20260405T065007
CREATED:20210316T173855Z
LAST-MODIFIED:20210316T203641Z
UID:25016-1616070600-1616074200@coe.northeastern.edu
SUMMARY:IEEE Magnetics Society Distinguished Seminar: Dr. Mathias Kläui
DESCRIPTION:IEEE Magnetics Society Seminar for 2021 \nDistinguished Lecture: Dr. Mathias Kläui \nJointly hosted by: Richmond Section Jt. Chapter\, Washington/Northern Virginia Jt Chapter\, and the Boston Section Chapter \n\nPlease join us online on Thursday\, March 18th\, at 12:30 pm for the first installment of out IEEE Distinguished Lecture Seminar Series.\nJoin with Google Meet: http://meet.google.com/xft-dvqw-pac\nJoin by phone: (US) +1 413-359-0778; PIN: 184921174#\n(US) +1 413-359-0778 PIN: 184 921 174# \n\nMathias Kläui is professor of physics at Johannes Gutenberg-University Mainz and adjunct professor at the Norwegian University of Science and Technology. He received his PhD at the University of Cambridge\, after which he joined the IBM Research Labs in Zürich. He was a junior group leader at the University of Konstanz and then became associate professor in a joint appointment between the EPFL and the PSI in Switzerland before moving to Mainz. His research focuses on nanomagnetism and spin dynamics on the nanoscale in new materials. His research covers from blue sky fundamental science to applied projects with major industrial partners. He has published more than 300 articles and given more than 200 invited talks. He is a Senior member of the IEEE and\, a Fellow of the IOP and has been awarded a number of prizes and scholarships. He is one of the 2020/2021 IEEE Magnetics Society Distinguished Lecturers. Contact details and more information at www.klaeui-lab.de. \n\nAntiferromagnetic Insulatronics: Spintronics without Magnetic fields \nWhile known for a long time\, antiferromagnetically ordered\nsystems have previously been considered\, as expressed by Louis Néel in his Nobel Prize Lecture\, to be “interesting but useless”. However\, since antiferromagnets potentially promises faster operation\, enhanced stability with respect to interfering magnetic fields and higher integration due to the absence of dipolar coupling\, they could potentially become a game changer for new spintronic devices. The zero net moment makes manipulation using conventional magnetic fields challenging. However recently\, these materials have received renewed attention due to possible manipulation based on new approaches such as photons or spin-orbit torques. In this talk\, we will present an overview of the key features of antiferromagnets to potentially functionalize their unique properties. This includes writing\, reading and transporting information using antiferromagnetic. \nWe recently realized switching in the metallic antiferromagnet Mn2Au by intrinsic staggered spin-orbit torques and characterize the switching properties by direct imaging. While switching by staggered intrinsic spin-orbit torques in metallic AFMs requires special structural asymmetry\, interfacial non-staggered spin-orbit torques can switch multilayers of many insulating AFMs capped with heavy metal layers. We probe switching and spin transport in selected collinear insulating antiferromagnets\, such as NiO\, CoO and hematite. In NiO and CoO we find that there are multiple switching mechanisms that result in the reorientation of the Néel vector and additionally effects related to electromigration of the heavy metal layer can obscure the magnetic switching. For the spin transport\, spin currents are generated by heating as resulting from the spin Seebeck effect and by spin pumping measurements and we find in vertical transport short (few nm) spin diffusion lengths. For hematite\, however\, we find in a non-local geometry that spin transport of tens of micrometers is possible. We detect a first harmonic signal\, related to the spin conductance\, that exhibits a maximum at the spin-flop reorientation\, while the second harmonic signal\, related to the Spin Seebeck conductance\, is linear in the amplitude of the applied magnetic field. The first signal is dependent on the direction of the Néel vector and the second one depends on the induced magnetic moment due to the field. We identify the domain structure as the limiting factor for the spin transport. We recently also achieved transport in the easy plane phase\, which allows us to obtain long distance spin transport in hematite even at room temperature. From the power and distance dependence\, we unambiguously distinguish long-distance transport based on diffusion from predicted spin superfluidity that can potentially be used for logic. A number of excellent reviews are available for further information on recent developments in the field.
URL:https://coe.northeastern.edu/event/ieee-magnetics-society-distinguished-seminar-dr-mathias-klaui/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210322T083000
DTEND;TZID=America/New_York:20210322T093000
DTSTAMP:20260405T065007
CREATED:20210322T135019Z
LAST-MODIFIED:20210322T135019Z
UID:25100-1616401800-1616405400@coe.northeastern.edu
SUMMARY:Bioengineering Graduate Programs Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in the Bioengineering Department on March 22 at 8:30 EST. \nRegistration may be found at:  https://us02web.zoom.us/webinar/register/WN_KiuKTsiLRn2n-vmRlz2m6A \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/bioengineering-graduate-programs-webinar/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210322T100000
DTEND;TZID=America/New_York:20210322T110000
DTSTAMP:20260405T065007
CREATED:20210226T185630Z
LAST-MODIFIED:20210315T140259Z
UID:24735-1616407200-1616410800@coe.northeastern.edu
SUMMARY:ECE MS Thesis Defense: Ibrahim Farah
DESCRIPTION:MS Thesis Defense: Multipath Beam Steering for OFDM Systems \nIbrahim Farah \nLocation: Zoom \nAbstract: OFDM systems prove effective in combatting the frequency-selective fading\, dispersive response of underwater acoustic channels. Coherent symbol detection requires estimation of this channel response at each receiving element\, typically done through tap-based models (Least Squares) or path-based models (Path Identification). This talk presents a spatial processing design which uses a multi-channel receiver to isolate individual multi-path returns\, both easing the channel estimation requirements and increasing the SNR for symbol detection. The beam steering algorithms are considered in both a coherent and differential OFDM system context and include narrowband and broadband beamforming to the principal\, stable path\, as well as narrowband and broadband null-steering. These spatial processing algorithms are then extended to an iterative implementation\, which approaches the theoretical performance for a beamformer with full multipath channel knowledge. The performance of these algorithms is compared to their single-channel equivalents using both the LS and PI algorithms for coherent detection.
URL:https://coe.northeastern.edu/event/ms-thesis-defense-ibrahim-farah/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210322T100000
DTEND;TZID=America/New_York:20210322T110000
DTSTAMP:20260405T065007
CREATED:20210322T140831Z
LAST-MODIFIED:20210322T140831Z
UID:25104-1616407200-1616410800@coe.northeastern.edu
SUMMARY:Chemical Engineering Graduate Program Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in the Chemical Engineering Department on March 22 at 10:00 AM EST. \nRegistration may be found at: https://us02web.zoom.us/webinar/register/WN_dhul9DvaSamlRIyBYkJtoQ \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/chemical-engineering-graduate-program-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210323T083000
DTEND;TZID=America/New_York:20210323T213000
DTSTAMP:20260405T065007
CREATED:20210322T140937Z
LAST-MODIFIED:20210322T140937Z
UID:25106-1616488200-1616535000@coe.northeastern.edu
SUMMARY:Mechanical and Industrial Engineering Graduate Program Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in the Mechanical and Industrial Department on March 23 at 8:30 EST. \nRegistration may be found at:  https://us02web.zoom.us/webinar/register/WN_S6PynL9hS7mXCoey0EVVlg \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/mechanical-and-industrial-engineering-graduate-program-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210323T100000
DTEND;TZID=America/New_York:20210323T110000
DTSTAMP:20260405T065007
CREATED:20210322T140734Z
LAST-MODIFIED:20210322T140734Z
UID:25108-1616493600-1616497200@coe.northeastern.edu
SUMMARY:Civil and Environmental Engineering Graduate Program Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in the Civil and Environmental Engineering Department on March 23 at 10:00 EST. \nRegistration may be found at:  https://us02web.zoom.us/webinar/register/WN_KiuKTsiLRn2n-vmRlz2m6A \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/civil-and-environmental-engineering-graduate-program-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210323T120000
DTEND;TZID=America/New_York:20210323T130000
DTSTAMP:20260405T065007
CREATED:20210322T135300Z
LAST-MODIFIED:20210322T135300Z
UID:25139-1616500800-1616504400@coe.northeastern.edu
SUMMARY:Communication Series: RISE Poster Workshop
DESCRIPTION:Join the CommLab for a virtual interactive poster workshop to get ready for Northeastern’s Research\, Innovation\, and Scholarship Expo (RISE). We will help you craft your story\, effectively plan for your audience\, and give you tips for mindful poster design. Learn more and RSVP here. This workshop is organized and produced by the Engineering CommLab.
URL:https://coe.northeastern.edu/event/communication-series-rise-poster-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210324T110000
DTEND;TZID=America/New_York:20210324T120000
DTSTAMP:20260405T065007
CREATED:20210322T135109Z
LAST-MODIFIED:20210322T135109Z
UID:25142-1616583600-1616587200@coe.northeastern.edu
SUMMARY:Crafting an Effective Elevator Pitch Workshop with the COE CommLab
DESCRIPTION:Useful during any stage of your research career\, the elevator pitch is an integral part of your research dissemination toolbox. The CommLab Fellows will discuss the essential components of the elevator pitch\, build the content of your pitch\, and practice your pitch for a variety of situations.  Five lucky participants will be eligible for a signed book written by a CommLab fellow!  RSVP for this workshop through Zoom.
URL:https://coe.northeastern.edu/event/crafting-an-effective-elevator-pitch-workshop-with-the-coe-commlab/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210324T160000
DTEND;TZID=America/New_York:20210324T170000
DTSTAMP:20260405T065007
CREATED:20210322T135801Z
LAST-MODIFIED:20210322T135801Z
UID:25128-1616601600-1616605200@coe.northeastern.edu
SUMMARY:Women Supporting Women Panel
DESCRIPTION:Join GWiSE on Wednesday\, March 24th at 4 pm for a virtual panel of women faculty sharing their experiences mentoring\, and being mentored by\, women. We’ll ask them about the role this support plays in shaping STEM careers. \nOur panelists: \n\nDr. Debra Auguste\, Professor\, Chemical Engineering\nDr. Alessandra Di Credico\, Associate Teaching Professor\, Physics\nDr. Michelle Laboy\, Assistant Professor of Architecture\nDr. Carla Mattos\, Professor\, Chemistry and Chemical Engineering\n\nWe will select 3 participants to win a $25 GrubHub gift card! (Must be a grad student to win.)\nRegister for the Zoom event here: https://bit.ly/wmn4wmn \nSubmit questions to ask the panelists here: https://bit.ly/MarchPanelQs
URL:https://coe.northeastern.edu/event/women-supporting-women-panel/
CATEGORIES:use the department, audience, and topic lists
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210326T083000
DTEND;TZID=America/New_York:20210326T093000
DTSTAMP:20260405T065007
CREATED:20210322T140632Z
LAST-MODIFIED:20210322T140632Z
UID:25110-1616747400-1616751000@coe.northeastern.edu
SUMMARY:Information Systems\, Software Engineering Design\, Data Architecture + Management Graduate Programs Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in Information Systems\, Software Engineering Design\, Data Architecture + Management on March 26 at 8:30 EST. \nRegistration may be found at:  https://us02web.zoom.us/webinar/register/WN_5ulL1KHbRpyLZIUVys6Tzw \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/information-systems-software-engineering-design-data-architecture-management-graduate-programs-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210326T120000
DTEND;TZID=America/New_York:20210326T130000
DTSTAMP:20260405T065007
CREATED:20210323T140009Z
LAST-MODIFIED:20210323T140009Z
UID:25187-1616760000-1616763600@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Mo Han
DESCRIPTION:PhD Dissertation Defense: Human Grasp Intent Inference and Multimodal Control in Prosthetic Hands \nMo Han \nLocation: Zoom Link \nAbstract: Upper limb and hand functionality is critical to many activities of daily living and the amputation of one can lead to significant functionality loss for individuals. From this perspective\, advanced prosthetic hands of the future are anticipated to benefit from improved shared control between a robotic hand and its human user\, but more importantly from the improved capability to infer human intent from multimodal sensor data to provide the robotic hand perception abilities regarding the operational context. Such multimodal data may be collected from various environment sensors such as camera providing visual information\, as well as easily-accessed human physiologic sensors including electromyographic (EMG) sensors. A fusion methodology for environmental state and human intent estimation can combine these sources of evidence in order to help prosthetic hand motion planning and control. \nAs part of a multi-disciplinary project\, i.e. HANDS project\, which aims at designing a robotic hand as an upper limb prosthetic device\, we developed two independent prosthetic control systems (HANDS V1 and HANDS V2) integrating multimodal sources of EMG and visual evidences into the control loop. Multiple grasps required for activities of daily living can be performed by both robotic systems which were developed in a lighter and cheaper semi-autonomous manner. The HANDS V1 system was first developed to provide an easy and convenient prosthesis with a portable EMG armband and a built-in palm camera\, and hereafter the HANDS V2 was constructed as an upgraded solution of HANDS V1 to achieve more difficult tasks with more identified grasp types\, more EMG channels and more complicated visual information involved. Both systems depend on multimodal signals from EMG and vision\, where the EMG could reflect the physiologic features related to user intents\, while the robustness and adaptability to different users could be retained by the visual information relying more on surrounding environments. We collected two datasets for the initialization of each system\, and the developments of the EMG-control\, visual-control\, and joint-control algorithms were conducted for both systems. We exploited efficient computer vision and physiological signal processing methodologies to decrease the system complexity as well as improve the user comfort\, in order to provide smarter and cheaper prosthetic hands to the audience. Online experiments were executed and evaluated on both HANDS V1 and HANDS V2 systems\, implemented by the Robot Operating System (ROS) system.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-mo-han/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210326T130000
DTEND;TZID=America/New_York:20210326T140000
DTSTAMP:20260405T065007
CREATED:20210322T140141Z
LAST-MODIFIED:20210322T140141Z
UID:25119-1616763600-1616767200@coe.northeastern.edu
SUMMARY:ECE Seminar: Sara Dean
DESCRIPTION:ECE Seminar: Reliable Machine Learning in Feedback Systems \nSara Dean \nLocation: Zoom Link \nAbstract: Machine learning techniques have been successful for processing complex information\, and thus they have the potential to play an important role in data-driven decision-making and control. However\, ensuring the reliability of these methods in feedback systems remains a challenge\, since classic statistical and algorithmic guarantees do not always hold. In this talk\, I will provide rigorous guarantees of safety and discovery in dynamical settings relevant to robotics and recommendation systems. I take a perspective based on reachability\, to specify which parts of the state space the system avoids (safety) or can be driven to (discovery). For data-driven control\, we show finite-sample performance and safety guarantees which highlight relevant properties of the system to be controlled. For recommendation systems\, we introduce a novel metric of discovery and show that it can be efficiently computed. In closing\, I discuss how the reachability perspective can be used to design social-digital systems with a variety of important values in mind. \nBio: Sarah is a PhD candidate in the Department of Electrical Engineering and Computer Science at UC Berkeley\, advised by Ben Recht. She received her MS in EECS from Berkeley and BSE in Electrical Engineering and Math from the University of Pennsylvania. Sarah is interested in the interplay between optimization\, machine learning\, and dynamics in real-world systems. Her research focuses on developing principled data-driven methods for control and decision-making\, inspired by applications in robotics\, recommendation systems\, and developmental economics. She is a co-founder of a transdisciplinary student group\, Graduates for Engaged and Extended Scholarship in computing and Engineering\, and the recipient of a Berkeley Fellowship and a NSF Graduate Research Fellowship.
URL:https://coe.northeastern.edu/event/ece-seminar-sara-dean/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210330T080000
DTEND;TZID=America/New_York:20210330T090000
DTSTAMP:20260405T065007
CREATED:20210322T140536Z
LAST-MODIFIED:20210322T140536Z
UID:25112-1617091200-1617094800@coe.northeastern.edu
SUMMARY:MS Cyber Physical Systems Graduate Program Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in the MS in Cyber Physical Systems on March 30 at 8:00 EST. \nRegistration may be found at:  https://us02web.zoom.us/webinar/register/WN_KiuKTsiLRn2n-vmRlz2m6A \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/ms-cyber-physical-systems-graduate-program-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210330T093000
DTEND;TZID=America/New_York:20210330T103000
DTSTAMP:20260405T065007
CREATED:20210322T140259Z
LAST-MODIFIED:20210322T140259Z
UID:25114-1617096600-1617100200@coe.northeastern.edu
SUMMARY:Electrical and Computer Engineering Graduate Programs Webinar
DESCRIPTION:Please join faculty\, staff\, and current students to learn more about graduate programs in the Electrical and Computer Engineering Department on March 30 at 9:30 EST. \nRegistration may be found at:  https://us02web.zoom.us/webinar/register/WN_cKfKDbSOQQu63xcwc9y4WA \nA recording will be available for those who are unable to attend.
URL:https://coe.northeastern.edu/event/electrical-and-computer-engineering-graduate-programs-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210330T160000
DTEND;TZID=America/New_York:20210330T170000
DTSTAMP:20260405T065007
CREATED:20210322T135605Z
LAST-MODIFIED:20210322T135605Z
UID:25130-1617120000-1617123600@coe.northeastern.edu
SUMMARY:Notable Women in STEM
DESCRIPTION:What makes a scientist notable? What notable women in STEM come to mind? Join us on Zoom Tuesday\, March 30 at 4 pm for a discussion of what makes a notable contribution to STEM\, how that compares to stated metrics of notability\, and as a result\, how those criteria may influence our understanding of women’s role in STEM fields\, past and present. \nTo register for the event and submit your ideas of the notable women of Northeastern\, please visit https://bit.ly/NotableWomenInSci. \nCo-hosted by the College of Science\, Graduate Women in Science and Engineering\, and Northeastern University Library Digital Scholarship Group
URL:https://coe.northeastern.edu/event/notable-women-in-stem/
CATEGORIES:use the department, audience, and topic lists
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210330T190000
DTEND;TZID=America/New_York:20210330T200000
DTSTAMP:20260405T065007
CREATED:20210317T142741Z
LAST-MODIFIED:20210317T142741Z
UID:25036-1617130800-1617134400@coe.northeastern.edu
SUMMARY:PlusOne Information Session
DESCRIPTION:LEARN ABOUT THE PLUSONE ACCELERATED MASTER’S DEGREE PROGRAM \nA master’s degree can provide you an additional level of expertise in an area aligned with your career goals. As a currently enrolled Bachelor of Science (BS) student in the College of Engineering at Northeastern\, you have the opportunity to earn a Master of Science degree (MS) in an accelerated time period with the PlusOne program. Once accepted into the program in an approved PlusOne pathway\, which is a BS and MS PlusOne combination\, you can earn an MS degree with\, in most cases\, just one extra year of study beyond your undergraduate degree program. \nIn this virtual information session\, College of Engineering undergraduate and graduate academic advisors will provide an overview of the PlusOne program to give you the knowledge and next steps to take advantage of the program if you choose. \nWHAT YOU WILL LEARN: \n\nWhat is PlusOne\nBenefits of the program\nEligibility\nCo-op considerations\nFinancial considerations\nSelecting your pathway\nAcademic advising resources\nTimeline to apply\nThe application process\nCourse registration\nTransitioning to graduate school\n\nEVENT DETAILS:\nDate: Tuesday\, March 30\, 2021\nTime: 7 – 8 p.m. EST\nZoom Link
URL:https://coe.northeastern.edu/event/plusone-information-session/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210331T120000
DTEND;TZID=America/New_York:20210331T130000
DTSTAMP:20260405T065007
CREATED:20210325T194101Z
LAST-MODIFIED:20210325T194101Z
UID:25227-1617192000-1617195600@coe.northeastern.edu
SUMMARY:ChE Seminar Series: Engineering Approaches to Understand Functional Connectivity in Neocortex
DESCRIPTION:ChE Seminar Series Presents:  \nDr. John A. White\, Ph.D \nProfessor and Chair of Biomedical Engineering\, Boston University \nEngineering Approaches to Understand Functional Connectivity in Neocortex \nAbstract\nThe mammalian neocortex is a crowning achievement of evolution. It is astronomically complex\, with around 100 billion computational elements\, each of which is staggeringly intricate by itself\, and on the order of 1016 synaptic connections. In this talk\, I plan to examine three questions related to the neocortex. First\, what are the consequences of component miniaturization for neural computation? Second\, how can we model neural computation on such a scale in a way that makes tractable predictions? Third\, what does distributed neural computation “look like?” The bulk of the talk will focus on testing strong predictions from the relatively simple stabilized supralinear network (SSN) model of how neocortical networks behave in resting wakefulness\, and how that behavior changes when the network is activated by sensory input or intentional movement. Our data are collected from mouse somatosensory cortex\, mainly under whole-cell patch clamp\, but also using genetically encoded calcium indicators. Our results are mainly compatible with the SSN model. \nBiography\nJohn A. White is Professor and Chair of Biomedical Engineering at Boston University. He has joint appointments in the Program in Neuroscience and the Department of Pharmacology and Experimental Therapeutics. He is PI and Program Director for BU BME’s long-standing NIGMS training grant in Quantitative Biology and Physiology. Prof. White received his BS in BME from Louisiana Tech University (1984)\, and his PhD in BME from Johns Hopkins University (1990). \nProfessor White’s research group uses engineering and computational approaches to study computation in single neurons and astrocytes\, as well as network interactions. He is a co-developer of RTXI\, the most widely used programming environment for virtual-reality-inspired experiments in neurophysiology\, and is known for describing the biophysical bases of neuronal oscillations and the factors that limit signal-to-noise in neurons and neuronal networks. His group has collaborated to develop new mouse lines\, and new scanning approaches\, for fluorescence imaging in neurons and astrocytes. He is the author of over 100 peer-reviewed publications\, has given over 150 invited lectures\, and has raised over $50M in external funding. White is a Fellow of the Biomedical Engineering Society\, the American Institute for Medical and Biological Engineering\, and the International Academy of Medical and Biological Engineering. In 2019\, White was elected President of the Biomedical Engineering Society. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-engineering-approaches-to-understand-functional-connectivity-in-neocortex/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210405T180000
DTEND;TZID=America/New_York:20210405T193000
DTSTAMP:20260405T065007
CREATED:20210329T152354Z
LAST-MODIFIED:20210329T152354Z
UID:25237-1617645600-1617651000@coe.northeastern.edu
SUMMARY:Scattergories w/ GWiSE
DESCRIPTION:Join GWiSE for our monthly community time on Monday\, April 5th at 6 pm EST to play some zoom scattergories and maybe win some prizes! This event will have two winners: $25 for the person with the most points $25 for overall funniest answers (we will vote!). Register on SAIL 🙂
URL:https://coe.northeastern.edu/event/scattergories-w-gwise/
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210406T100000
DTEND;TZID=America/New_York:20210406T110000
DTSTAMP:20260405T065007
CREATED:20210325T135135Z
LAST-MODIFIED:20210325T135135Z
UID:25215-1617703200-1617706800@coe.northeastern.edu
SUMMARY:Global Co-op Self-Developing Information Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about self-developing a global co-op opportunity for Summer II/ Fall 2021. This session will be interactive and the topics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nStep by step information for networking and self-developing\n\nRSVP via NUworks Events Calendar for Zoom link. \nPlease reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/global-co-op-self-developing-information-session/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210406T100000
DTEND;TZID=America/New_York:20210406T110000
DTSTAMP:20260405T065007
CREATED:20210401T183518Z
LAST-MODIFIED:20210401T183518Z
UID:25294-1617703200-1617706800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Subhramoy Mohanti
DESCRIPTION:PhD Proposal Review: Distributed Data and Energy Beamforming with Unmanned Vehicles for Wireless IoT : A Systems Perspective \nSubhramoy Mohanti \nLocation: Teams Meeting \nAbstract: The pervasive deployment of the wireless Internet of Things (IoT) has given rise to heterogeneous sensors and small form-factor computing devices in homes\, offices\, public spaces\, manufacturing floors\, among others. Such large number of connected devices require (i) simple ways of charging\, so that they remain operationally available\, and (ii) effective ways of sharing wireless spectrum\, so that they continue to transmit and receive data amidst competing and interfering signals. This thesis focuses on the link and physical layer of the protocol stack to enable distributed beamforming as a key enabler for these two objectives. Specifically\, we experimentally demonstrate how beamforming capability can address both wireless power transfer (WPT) needs and resilient communication in interference-challenged environments.\nThis thesis proposes a method for accessing and sharing the wireless channel for both regular data communication and WPT. This is the first work that accomplishes these dissimilar tasks within the constraints of the standard compliant IEEE 802.11 protocol\, resulting in a practical and so called ‘WiFi-friendly Energy Delivery’ (WiFED). First\, WiFED exploits the IEEE 802.11 supported protocol features to request energy and for energy transmitters to participate in energy transfer via beamforming. Second\, it devises a controller-driven bipartite matching algorithm\, assigning appropriate number of energy transmitters to sensors for efficient energy delivery. Thirdly\, it detects outlier sensors\, which have limited power reception from static energy transmitters and utilizes mobile energy transmitters to satisfy their charging cycles.\nFrom a communication-only perspective that relies on distributed beamforming\, this thesis presents AirBeam\, a software-based approach that runs on Unmanned Aerial Vehicles (UAVs) to deliver on-demand data to sensors deployed in infrastructure constrained environments. We first show why this problem is difficult given the continuous hovering-related channel fluctuations\, synchronizing the distributed transmit streams without a wired clock reference\, the need to ensure timely feedback from the ground receiver due to the channel coherence time\, and the size\, weight\, power\, and cost (SWaP-C) constraints for UAVs. This work is extended further to consider realistic traffic patterns and packet arrival thresholds\, involving dynamic grouping of transmitters to beamform towards target receivers at any given time. Again\, we evaluate outcome both experimentally and in a virtual environment in Colosseum\, the world’s largest RF emulator.\nSince beamforming requires the action of multiple devices not directly connected to each other by wire\, we introduce a security framework called AirID\, which identifies authorized beamforming UAVs by learning their so called ‘RF fingerprints’. This step requires applying deep learning techniques on their received signals\, with the goal of identifying discriminative features introduced by the transmitter due to process variations. Our approach involves intentionally inserting ‘signatures’ in the signals from each known UAV\, which are detected through a deep convolutional neural network (CNN) at the physical layer\, without affecting the ongoing UAV data communication process.\nIn the proposed work\, we will explore optimized placement of UAVs\, while also considering battery limits\, to enhance beamforming performance. We will validate these outcomes in a testbed of 4-5 UAVs.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-subhramoy-mohanti/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210407T120000
DTEND;TZID=America/New_York:20210407T130000
DTSTAMP:20260405T065007
CREATED:20210405T134754Z
LAST-MODIFIED:20210405T134754Z
UID:25305-1617796800-1617800400@coe.northeastern.edu
SUMMARY:ChE Seminar Series: Engineered Autonomous Control of Metabolic Pathways
DESCRIPTION:ChE Seminar Series Presents: \nKristala L. J. Prather\, Ph.D.\nArthur D. Little Professor\, Department Executive Officer\, Department of Chemical Engineering\, MIT \nEngineered Autonomous Control of Metabolic Pathways \nAbstract\nMicrobial systems offer the opportunity to produce a wide variety of chemical compounds in a sustainable fashion. Economical production\, however\, requires processes that operate with high titer\, productivity\, and yield. One challenge towards maximizing yields is the need to use substrate for biomass\, resulting in a competing pathway that cannot merely be eliminated. Productivities may also be significantly influenced by the timing of expression of genes in the production pathway. Dynamic metabolic engineering has emerged as a means to address these and other impediments in strain performance. Ideally\, the triggers for dynamic control would be autonomous\, that is\, independent of any external intervention by the operator. We have developed such autonomous devices based on pathway-independent quorum-sensing circuits and have demonstrated their utility across several distinct metabolic pathways and with varying levels of complexity. In this talk\, I will describe our approach for development of these Metabolite Valves and results to date from their implementation. \nBiography\nKristala L.J. Prather is the Arthur D. Little Professor in and Executive Officer of the Department of Chemical\nEngineering at MIT. She received an S.B. degree from MIT in 1994 and Ph.D. from the University of California\, Berkeley (1999)\, and worked 4 years in BioProcess Research and Development at the Merck Research Labs prior to joining MIT. Her research interests are centered on the design and assembly of recombinant microorganisms for the production of small molecules\, with additional efforts in novel bioprocess design approaches. A particular focus is the elucidation of design principles for the production of unnatural organic compounds with engineered control of metabolic flux within the framework of the burgeoning field of synthetic biology. Prather is the recipient of an Office of Naval Research Young Investigator Award (2005)\, a Technology Review “TR35” Young Innovator Award (2007)\, a National Science Foundation CAREER Award (2010)\, the Biochemical Engineering Journal Young Investigator Award (2011)\, and the Charles Thom Award of the Society for Industrial Microbiology and Biotechnology (2017). Additional honors include selection as the Van Ness Lecturer at Rensselaer Polytechnic Institute (2012)\, as a Fellow of the Radcliffe Institute for Advanced Study (2014-2015)\, the American Association for the Advancement of Science (AAAS; 2018)\, and the American Institute for Medical and Biological Engineering (AIMBE; 2020). \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-engineered-autonomous-control-of-metabolic-pathways/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210407T140000
DTEND;TZID=America/New_York:20210407T150000
DTSTAMP:20260405T065007
CREATED:20210323T173831Z
LAST-MODIFIED:20210323T173831Z
UID:25189-1617804000-1617807600@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Vikrant Shah
DESCRIPTION:PhD Dissertation Defense: Visual Navigation Applications in Low Contrast Environments: Multi Sensor Iceberg Mapping \nVikrant Shah \nLocation: Zoom Link \nAbstract: Most approaches to visual navigation make multiple assumptions about the scenes being imaged. There are implicit assumptions about the scene being predominantly static and the availability of well illuminated\, texture rich\, objects in the scene. In some cases these assumptions severely limit or eliminate the full applicability of visual Simultaneous Localization and Mapping (SLAM) and Structure from Motion (SfM) methodologies. This dissertation attempts to address problems where the assumptions of static scenes and texture rich objects are not valid. Motivated by the application of mapping rotating and translating icebergs\, we propose a system level solution for addressing the problem of mapping large\, low contrast\, moving targets with slow but complicated dynamics. \nOur approach leverages the complementary nature of multiple sensing modalities and utilizes a rigidly coupled combination of a subsurface multibeam sonar (a line scan sensor) and an optical camera (an area scan sensor). This allows the system to exploit the optical camera information to perform iceberg relative navigation\, which can be directly used by the multibeam sonar to map the iceberg underwater. To compensate for the effect of low contrast we conducted an in-depth analysis of features detectors and descriptors on end-to-end SfM algorithms to demonstrate and understand how methodologies such as Contrast Limited Adaptive Histogram Equalization (CLAHE) and Zernike Moment descriptors help improve the overall accuracy in these challenging applications. \nWe merge these approaches into an algorithmic framework that allows us to compute the scale of the navigation solution and iceberg centric navigation corrections. These corrections can then be used for accurate iceberg reconstructions. This enables a quantitative analysis of our iceberg mapping efforts including volume estimation and change detection. \nWe successfully demonstrate our approach on real field data from three of the icebergs surveyed multiple times during the 2018 and 2019 campaigns to the Sermilik fjord in Eastern Greenland. Availability of iceberg mounted Global Navigation Satellite System (GNSS) observations during these research expeditions also allowed for a comparison of this approach against ground truth\, providing additional confidence in the systems level mapping efforts. The accuracy of the reconstructions is demonstrated by estimating iceberg volumes\, calculating their ablation rates\, and performing change detection at a granular scale.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-vikrant-shah/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210408T110000
DTEND;TZID=America/New_York:20210408T120000
DTSTAMP:20260405T065007
CREATED:20210406T170543Z
LAST-MODIFIED:20210406T170543Z
UID:25337-1617879600-1617883200@coe.northeastern.edu
SUMMARY:ECE Seminar: Mahdi Imani
DESCRIPTION:ECE Seminar: Reinforcement Learning Perspective to Data-Driven and Model-Based Experimental Design \nMahdi Imani \nLocation: Zoom Link \nAbstract: Design and decision-making are pervasive in most practical systems including smart grids\, transportation\, manufacturing\, healthcare\, and smart homes. Accurate system modeling is difficult in most systems/processes due to the complicated system dynamics\, multi-physics and multiple time scales involved in phenomena\, hybrid dynamics across cyber and physical layers\, and various sources of parametric and environmental uncertainties. Design and decision-making in these systems are fraught with choices\, choices that are often expensive\, complex\, and high-dimensional\, with interactions and uncertainties that make them difficult for individuals to reason about. This talk will mainly focus on the speaker’s latest research on providing a new unified reinforcement learning perspective for model-based and data-driven experimental design to enable scalable\, efficient\, and reliable design and decision-making under various sources of uncertainty. \nBio: Mahdi Imani is an Assistant Professor in the Department of Electrical and Computer Engineering at the George Washington University. He received his Ph.D. degree in Electrical and Computer Engineering from Texas A&M University in 2019\, and his M.Sc. degree in Electrical Engineering and his B.Sc. degree in Mechanical Engineering\, both from the University of Tehran in 2014 and 2012. His research interests include Machine Learning\, Control Theory\, and Signal Processing\, with a wide range of applications from computational biology to cyber-physical systems. He has been elevated to IEEE Senior Member grade in 2021. He is also the recipient of multiple awards\, including NSF SCH Aspiring PI Awardee in 2020 and 2021\, IBM Research Almaden Distinguished Speaker in 2019\, the Association of Former Students Distinguished Graduate Student Award for Excellence in Research-Doctoral in 2019\, the Best Ph.D. Student Award in ECE department and a single finalist nominee of ECE department for the Outstanding Graduate Student Award in the college of engineering at Texas A&M University in 2018\, and the best paper finalist award from the 49th Asilomar Conference on Signals\, Systems\, and Computers\, 2015.
URL:https://coe.northeastern.edu/event/ece-seminar-mahdi-imani/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210409T120000
DTEND;TZID=America/New_York:20210409T130000
DTSTAMP:20260405T065007
CREATED:20210405T134852Z
LAST-MODIFIED:20210405T134852Z
UID:25303-1617969600-1617973200@coe.northeastern.edu
SUMMARY:ChE Seminar Series: Tools for Analyzing and Repairing Biological Systems
DESCRIPTION:ChE Seminar Series Presents: \nDr. Edward S. Boyden\, Ph. D.\nY. Eva Tan Professor in Neurotechnology at MIT\nHoward Hughes Medical Institute\, McGovern Institute\nProfessor\, Departments of Brain and Cognitive Sciences\, Media Arts and Sciences\, and Biological Engineering\, MIT \nTools for Analyzing and Repairing Biological Systems \nAbstract \nUnderstanding and repairing complex biological systems\, such as the brain\, requires technologies for systematically observing and controlling these systems.  We are discovering new molecular principles that enable such technologies.  For example\, we discovered that one can physically magnify biological specimens by synthesizing dense networks of swellable polymer throughout them\, and then chemically processing the specimens to isotropically swell them.  This method\, which we call expansion microscopy\, enables ordinary microscopes to do nanoimaging – important for mapping the brain across scales.  Expansion of biomolecules away from each other also decrowds them\, enabling previously invisible nanostructures to be labeled and seen.  As a second example\, we discovered that microbial opsins\, genetically expressed in neurons\, could enable their electrical activities to be precisely controlled in response to light.  These molecules\, now called optogenetic tools\, enable causal assessment of how neurons contribute to behaviors and pathological states\, and are yielding insights into new treatment strategies for brain diseases.  Finally\, we are developing\, using new strategies such as robotic directed evolution\, fluorescent reporters that enable the precision measurement of signals such as voltage and calcium.  By fusing such reporters to self-assembling peptides\, they can be stably clustered within cells at random points\, distant enough to be resolved by a microscope\, but close enough to spatially sample the relevant biology. Such clusters\, which we call signaling reporter islands (SiRIs)\, permit many fluorescent reporters to be used within a single cell\, to simultaneously reveal relationships between different signals.  We share all these tools freely\, and aim to integrate the use of these tools so as to enable comprehensive understandings of neural circuits. \nBiography: \nEd Boyden is Y. Eva Tan Professor in Neurotechnology at MIT\, an investigator of the Howard Hughes Medical Institute and the MIT McGovern Institute\, and professor of Brain and Cognitive Sciences\, Media Arts and Sciences\, and Biological Engineering at MIT. He leads the Synthetic Neurobiology Group\, which develops tools for analyzing and repairing complex biological systems such as the brain\, and applies them systematically to reveal ground truth principles of biological function as well as to repair these systems. He co-directs the MIT Center for Neurobiological Engineering\, which aims to develop new tools to accelerate neuroscience progress\, and is a faculty member of the MIT Center for Environmental Health Sciences\, Computational & Systems Biology Initiative\, and Koch Institute. \nAmongst other recognitions\, he has received the Wilhelm Exner Medal (2020)\, the Croonian Medal (2019)\, the Lennart Nilsson Award (2019)\, the Warren Alpert Foundation Prize (2019)\, the Rumford Prize (2019)\, the Canada Gairdner International Award (2018)\, the Breakthrough Prize in Life Sciences (2016)\, the BBVA Foundation Frontiers of Knowledge Award (2015)\, the Carnegie Prize in Mind and Brain Sciences (2015)\, the Jacob Heskel Gabbay Award (2013)\, the Grete Lundbeck Brain Prize (2013)\, the NIH Director’s Pioneer Award (2013)\, the NIH Director’s Transformative Research Award (three times\, 2012\, 2013\, and 2017)\, and the Perl/UNC Neuroscience Prize (2011). He was also named to the World Economic Forum Young Scientist list (2013) and the Technology Review World’s “Top 35 Innovators under Age 35” list (2006)\, and is an elected member of the National Academy of Sciences (2019)\, the American Academy of Arts and Sciences (2017)\, the National Academy of Inventors (2017)\, and the American Institute for Medical and Biological Engineering (2018). His group has hosted hundreds of visitors to learn how to use new biotechnologies\, and he also regularly teaches at summer courses and workshops in neuroscience\, and delivers lectures to the broader public (e.g.\, TED (2011)\, TED Summit (2016)\, World Economic Forum (2012\, 2013\, 2016)). \nEd received his Ph.D. in neurosciences from Stanford University as a Hertz Fellow\, working in the labs of Jennifer Raymond and Richard Tsien\, where he discovered that the molecular mechanisms used to store a memory are determined by the content to be learned. In parallel to his PhD\, as an independent side project\, he co-invented optogenetic control of neurons\, which is now used throughout neuroscience. Previously\, he studied chemistry at the Texas Academy of Math and Science at the University of North Texas\, starting college at age 14\, where he worked in Paul Braterman’s group on origins of life chemistry. He went on to earn three degrees in electrical engineering and computer science\, and physics\, from MIT\, graduating at age 19\, while working on quantum computing in Neil Gershenfeld’s group. Long-term\, he hopes that understanding how the brain generates the mind will help provide a deeper understanding of the human condition\, and perhaps help humanity achieve a more enlightened state. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-tools-for-analyzing-and-repairing-biological-systems/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210410T080000
DTEND;TZID=America/New_York:20210410T190000
DTSTAMP:20260405T065007
CREATED:20210318T134623Z
LAST-MODIFIED:20210412T213010Z
UID:25074-1618041600-1618081200@coe.northeastern.edu
SUMMARY:Virtual Graduate School Open House
DESCRIPTION:Join us at the Virtual Graduate Open House that will take place on April 10\, 11 and 12. Learn more about your program of interest from faculty or learn more about services at Northeastern University that will enhance your graduate school experience.
URL:https://coe.northeastern.edu/event/virtual-graduate-open-house/2021-04-10/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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