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BEGIN:VEVENT
DTSTART;VALUE=DATE:20211025
DTEND;VALUE=DATE:20211030
DTSTAMP:20260405T062838
CREATED:20211020T151423Z
LAST-MODIFIED:20211020T151423Z
UID:28606-1635120000-1635551999@coe.northeastern.edu
SUMMARY:SACNAS National Diversity in STEM Digital Conference
DESCRIPTION:Join the Graduate School of Engineering Admissions Team at the SACNAS National Diversity in STEM Digital Conference held from October 25-29. Representatives will be available from 12pm-1pm EST each day of the event.
URL:https://coe.northeastern.edu/event/sacnas-national-diversity-in-stem-digital-conference/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211027T120000
DTEND;TZID=America/New_York:20211027T130000
DTSTAMP:20260405T062838
CREATED:20211014T154101Z
LAST-MODIFIED:20211014T154101Z
UID:27795-1635336000-1635339600@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Rebecca Heise
DESCRIPTION:Rebecca Heise\, Ph.D. \nAssociate Professor and Undergraduate Program Director\, Department of Biomedical Engineering\, Virginia Commonwealth University\, Richmond VA \n“Breaking Barriers: Evaluating the Alveolar-Capilary Barrier in Lung Injury and Repair” \nWednesday\, October 27th\, 2021 \n12:00 pm – 1:00 pm EST \nBehrakis 010 \nABSTRACT: \nLung injuries such as acute respiratory distress syndrome\, acute lung injury\, or ventilator-associated lung injury cause disruption in the alveolar-capillary barrier leading to edema and lack of gas exchange. The mechanical environment in the lung plays an important role in maintaining this barrier. The constantly moving lung subjects cells to mechanical strain and shear stress during normal breathing. Lung injury\, aging extracellular matrix\, and obstructive pulmonary diseases alter this mechanical environment\, changing the strain\, shear stress\, and stiffness of the pulmonary extracellular matrix. The present talk will discuss how these mechanical changes alter cellular signaling and function focusing on aging alveolar epithelial cells and macrophages in murine ventilator-induced lung injury and the role of extracellular matrix in alveolar epithelial barrier formation. \nBIOGRAPHY: \nDr. Heise is an Associate Professor and Undergraduate Program Director of Biomedical Engineering at Virginia Commonwealth University (VCU). She holds an affiliate appointment in the Department of Physiology and Biophysics at VCU and is a member of the Massey Cancer Center and the Johnson Center for Critical Care and Pulmonary Research. She earned her B.S. in Chemical Engineering with an additional major in Biomedical and Health Engineering from Carnegie Mellon University in 2003. She then earned her PhD in Bioengineering from the University of Pittsburgh in 2008. She then did her Postdoctoral work in the Laboratory of Respiratory Biology at the NIEHS in Research Triangle Park\, NC. She joined the faculty of Biomedical Engineering at VCU in 2010. \nDr. Heise’s research focuses on pulmonary mechanobiology and regenerative medicine. She seeks to understand how the mechanical environment in the lung influences cellular behavior in health and disease with in vitro and in vivo models. Dr. Heise also researches the use of naturally-derived extracellular matrix as a biomaterial for cell and drug delivery to the lung. She has been awarded an R01 from the National Institute of Aging to study the effects of ventilator induced lung injury on inflammatory cell signaling\, and she has earned a CAREER award from the National Science Foundation to study cell-ECM interactions in pulmonary fibrosis. She has over 30 peer-reviewed publications\, 3 book chapters\, and over 50 abstracts. Dr. Heise is the PI for an NSF REU Site: Mechanoboilogy at VCU.  She is actively teaching on all levels in the biomedical engineering department.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-rebecca-heise/
LOCATION:010 Behrakis\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=010 Behrakis 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211027T120000
DTEND;TZID=America/New_York:20211027T130000
DTSTAMP:20260405T062838
CREATED:20211020T135119Z
LAST-MODIFIED:20211020T135119Z
UID:28546-1635336000-1635339600@coe.northeastern.edu
SUMMARY:ChE Seminar Series: Engineering directed Transport and Collective Dynamics of Charged Colloids under Electric Fields
DESCRIPTION:ChE Seminar Series Presents: \nDr. Carlos A. Silvera Batista \nDepartment of Chemical & Biomolecular Engineering \nVanderbilt University \nEngineering directed Transport and Collective Dynamics of Charged Colloids under Electric Fields \nAbstract: \nGradients in electrical potential (electric fields)\, along with gradients in concentration of ionic species\, are a principal way to control the motion of colloids. The surface and body forces that electric fields exert on anisotropic colloids have opened new applications in self-propulsion\, transport of cargo\, dynamic assembly\, and directed assembly. This talk focuses on the long-range transport of charged colloids\, as well as on the dynamic assembly of anisotropic and active colloids. In the first part\, we present a study of the dynamics of charged colloids under direct currents and gradients of chemical species (electrodiffusiophoresis). In our approach\, we developed a method to simultaneously visualize the progression of concentration polarization and the ensuing dynamics of charged colloids near electrodes. With the aid of confocal microscopy\, we show that the passage of current through water induce the focusing and aggregation of charged colloids away from both electrodes. Preliminary experiments show that this phenomenon can potentially be useful to perform focusing\, trapping and separation operations in lab-on-a-chip devices. In the second part\, we discuss strategies to tailor the propulsion and collective dynamics of Janus particles (JPs) under electric fields. We engineer the relaxation time of JPs by controlling the properties of the medium and the particles. The insights from this study provide helpful quantitative information for the design of colloidal machines with targeted propulsion\, interparticle interactions and collective dynamics. In addition\, our results provide the experimental basis for the design of non-equilibrium strategies for materials fabrication. \nBio: \nDr. Carlos A. Silvera Batista initiated undergraduate studies in chemical engineering at the Universidad de San Buenaventura (Cartagena\, Colombia) and subsequently obtained a bachelor’s degree from the City College of New York (CCNY). Dr. Silvera began his research trajectory as an LSAMP scholar under the guidance of Prof. Ilona Kretzschmar (CCNY). After earning a PhD in chemical engineering from the University of Florida\, Dr. Silvera held postdoctoral positions at the National Institute of Standards and Technology and at the University of Michigan\, where he received the President’s Postdoctoral Fellowship. Currently\, as an assistant professor at Vanderbilt University\, his research interest is on the electrokinetics and directed assembly of colloidal systems.  His research work has resulted in over 20 peer-reviewed publications in high-impact scientific journals\, such as JACS\, ACS Nano\, Langmuir and Science. \n 
URL:https://coe.northeastern.edu/event/che-seminar-series-engineering-directed-transport-and-collective-dynamics-of-charged-colloids-under-electric-fields/
LOCATION:108 SN
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211027T140000
DTEND;TZID=America/New_York:20211027T150000
DTSTAMP:20260405T062838
CREATED:20211021T134450Z
LAST-MODIFIED:20211021T134450Z
UID:28811-1635343200-1635346800@coe.northeastern.edu
SUMMARY:LEADERs Event: AI Challenges in the Deployment of Advanced Driver-Assistance Systems
DESCRIPTION:This presentation will help attendees learn about integrating AI in auto industry. While AI has been able to achieve remarkable success over the last 10 years\, can it really be trusted?  What does trustworthy AI look like in the context of connected vehicles and advanced driver-assistance systems (ADAS)?  To create an ADAS for all\, it’s paramount that the AI systems in the vehicle be trusted and work for everyone.  This is especially important given the nature of ADAS as a safety-critical\, cyber-physical\, and people-centric system of systems.  In this talk\, the presenter will outline a number of challenges in building AI systems which could potentially be deployed in future ADAS. \nSpeaker Dr. Jacob Bond leads trustworthy AI research at General Motors R&D.  In addition to his work on ensuring AI systems in the vehicle can be trusted\, his research looks at how to keep AI systems private and how to ensure cloud and vehicle systems can establish secure communications.  After receiving a Ph.D. in computational mathematics and cryptography from Purdue University\, he joined General Motors’ Product Cybersecurity organization\, focusing on applications of public-key cryptography.  Jacob then began investigating the security of AI systems\, moving to GM R&D and expanding his work to encompass the trustworthiness of AI systems.
URL:https://coe.northeastern.edu/event/leaders-event-ai-challenges-in-the-deployment-of-advanced-driver-assistance-systems/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211027T140000
DTEND;TZID=America/New_York:20211027T160000
DTSTAMP:20260405T062838
CREATED:20211001T153616Z
LAST-MODIFIED:20211001T153616Z
UID:27551-1635343200-1635350400@coe.northeastern.edu
SUMMARY:UMASS Dartmouth Graduate School Fair
DESCRIPTION:Join the Graduate School of Engineering admissions team at the UMASS Dartmouth Graduate School Fair. This event is open to all UMASS Dartmouth students. An Admissions representative and a Graduate Student Ambassador will be available in person to answer your graduate school questions.
URL:https://coe.northeastern.edu/event/umass-dartmouth-graduate-school-fair/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20211028
DTEND;VALUE=DATE:20211101
DTSTAMP:20260405T062838
CREATED:20210804T185013Z
LAST-MODIFIED:20210804T185013Z
UID:26863-1635379200-1635724799@coe.northeastern.edu
SUMMARY:Annual oSTEM Conference
DESCRIPTION:Join the Graduate School of Engineering Admissions Team as they represent the graduate school programs at the annual oSTEM virtual conference held from October 28-31. oSTEM (out in science technology\, engineering\, and mathematics) is non profit professional organization for LGBTQ+ people in the STEM fields.
URL:https://coe.northeastern.edu/event/annual-ostem-conference/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211028T100000
DTEND;TZID=America/New_York:20211028T110000
DTSTAMP:20260405T062838
CREATED:20211025T171553Z
LAST-MODIFIED:20211025T171553Z
UID:29166-1635415200-1635418800@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Hongjia Li
DESCRIPTION:PhD Dissertation Defense: Automation Design and DNN Acceleration Frameworks: from software implementation to hardware physical design \nHongjia Li \nLocation: Northeastern Zoom Link \nAbstract: With the breakthrough of Deep Neural Networks (DNNs) in the past decade\, neural network-based computer vision has made huge progress\, achieving exceptional performance. Tasks such as object detection\, activity detection\, and medical diagnosis are deployed in a wide range of applications\, including autonomous driving\, robot vision and training\, human-computer interaction\, and augmented reality. To increase the demand of application accuracy\, DNN models are tuned to large scales by adding more parameters and layers. Meanwhile\, mobile devices are rapidly becoming the central computer and carrier for deep learning tasks. However\, real-time execution has been limited due to the computation/storage resource constraints on mobile devices.\nThe first part of this dissertation\, I will present our unified real-time mobile acceleration of DNNs framework\, seamlessly integrating hardware-friendly\, structured model compression with mobile-targeted compiler optimization. The goal of our framework is to provide an unprecedented\, real-time performance of such large-scale neural network inference using simply off-the-shelf mobile devices. Our proposed fine-grained block-based pruning scheme can be universally applicable to all types of DNN layers\, such as CONV layers with different kernel sizes and fully connected layers. Different weight pruning schemes\, such as unstructured pruning\, filter/column pruning\, and our block-based pruning\, are analyzed and compared given the specific deep learning problems. To validate our framework\, various applications are implemented and demonstrated\, object detection\, medical diagnosis. All applications can achieve real-time inference on mobile devices\, outperforming the current mobile acceleration framework by up to 6.7X in speed.\nFor the second part of this dissertation\, I will dive into an efficient automate framework for Adiabatic Quantum-Flux-Parametron (AQFP) technology\, meeting the unique features and constraints. Superconductive electronics (SCE) based on the Josephson junction (JJ) single flux quantum (SFQ) logic cells have evolved into a within-reach “beyond-CMOS” technology. Placement is the primary step in physical design of the electronic systems as it directly affects the maximum frequency and routability of circuits. Algorithms for global placement\, the core step in the placement process\, typically minimize the total wirelength of a design as the main objective as it indirectly affects the routability and timing of circuits. Although minimizing the total wirelength improves the timing of the circuit in general\, it does not directly target optimizing the delay of timing critical paths. Timing and routability driving placement methods are therefore needed. The currently mature design automation tools for CMOS cannot be directly applied to the design of superconducting electronics. In this dissertation\, I will present our proposed timing-aware AQFP-specific placement and routing framework\, given a path balanced AQFP netlist with clock phases. The proposed framework will reduce the solution complexity by making effective use of the row-wise placement/routing opportunity as each AQFP cell is assigned to a specific row (clock phase). \n 
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-hongjia-li/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211028T120000
DTEND;TZID=America/New_York:20211028T130000
DTSTAMP:20260405T062838
CREATED:20211007T204221Z
LAST-MODIFIED:20211007T204221Z
UID:27628-1635422400-1635426000@coe.northeastern.edu
SUMMARY:Virtual Field Trip Series: Dialogue of Civilizations - India and Nepal: Climate Change Science and Policy
DESCRIPTION:Learn about the impact climate change has on The Indian subcontinent’s diverse geography\, culture\, and economy\, and the policies being pursued to mitigate the damage. \nhttps://eventregistration.northeastern.edu/event/a2d5623e-cd58-481a-807f-89872942a82c/summary?RefId=COLLEGE
URL:https://coe.northeastern.edu/event/virtual-field-trip-series-dialogue-of-civilizations-india-and-nepal-climate-change-science-and-policy/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211028T183000
DTEND;TZID=America/New_York:20211028T193000
DTSTAMP:20260405T062838
CREATED:20211021T204451Z
LAST-MODIFIED:20211021T204451Z
UID:28946-1635445800-1635449400@coe.northeastern.edu
SUMMARY:Insights into the Deferred MBA Program
DESCRIPTION:Please join the Galante Engineering Business Program and our Professional Development Coordinator Isabella Cardona Barber along with Professional Development Assistant Marissa Westerbeke in hosting three Galante Alumni as they share their success as Deferred MBA admits at top schools in the U.S.\, as well as valuable lessons they learned along the way. They will also dive into relevant resources\, review the application process\, and answer any questions you may have regarding this unique opportunity. \nThe event will be hosted in-person in Egan Research Center 440 and online via Zoom. \nPlease RSVP.
URL:https://coe.northeastern.edu/event/insights-into-the-deferred-mba-program/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211029T100000
DTEND;TZID=America/New_York:20211029T110000
DTSTAMP:20260405T062838
CREATED:20211020T151027Z
LAST-MODIFIED:20211020T151027Z
UID:28593-1635501600-1635505200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Cesar Antonio Galvez Nunez
DESCRIPTION:PhD Proposal Review: Fault Location in Radial and Meshed Networks Containing Distributed Energy Resources (DERs) \nCesar Antonio Galvez Nunez \nLocation: Microsoft Teams Link \nAbstract: Rapidly increasing numbers of Distributed Energy Resources (DERs) connected to transmission and distribution networks via Inverter Based Power Sources (IBPSs) introduce new challenges in detecting and locating faults. Distribution networks are historically designed to operate as radial systems with unidirectional power flows\, which may no longer hold true due to the presence of large numbers of IBPSs. The commonly used impedance-based fault location methods are no longer reliable due to the limitations imposed by unknown fault resistance\, asymmetry of lines\, and presence of IBPSs\, which need to comply with the new grid codes for Fault Ride Through (FRT) requirements. In this proposal\, a new fault location method that can be used for radial and meshed networks containing DERs and addresses the limitations of conventional methods mentioned above will be introduced. The approach requires a limited number of digital fault recorders (DFR) to be placed in the network and uses the Discrete Wavelet Transform (DWT) to compute the first arrival times of fault-generated traveling waves. The proposal first presents a new two-terminal fault location technique used strictly for radial distribution networks\, and then extends this to the general case of combined transmission and distribution networks with radial or meshed configurations. The method is further extended to be applied to hybrid AC/DC complex transmission grids containing DERs and High Voltage Direct Current (HVDC) lines. Preliminary results will be presented illustrating these methods on typical power grids and fault scenarios.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-cesar-antonio-galvez-nunez/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211029T110000
DTEND;TZID=America/New_York:20211029T120000
DTSTAMP:20260405T062838
CREATED:20211028T143932Z
LAST-MODIFIED:20211028T144125Z
UID:29214-1635505200-1635508800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Ramtin Khalili
DESCRIPTION:PhD Proposal Review: Efficient State and Parameter Estimation in Three-Phase Power Systems \nRamtin Khalili \nLocation: Microsoft Link \nAbstract: As the number of renewable energy sources\, bulk energy storage systems\, and non-conventional loads increase and connect to the power grid not only at transmission but also sub-transmission and distribution levels\, three-phase unsymmetrical network monitoring becomes necessary for reliable operation and control of the overall power grid. The use of modal decomposition of measurement equations has already been shown to simplify the formulation and resulting computational complexity of three-phase state estimation of systems where all the transmission lines are three-phase and fully transposed. When there are untransposed and/or mixed-phase lines\, modal decomposition can no longer fully decouple the three-phase measurement equations. This shortcoming is eliminated by a simple yet practical solution based on the commonly used numerical compensation techniques. Thus\, it enables the application of the powerful decoupling approach to any type of three-phase networks which may contain untransposed or mixed-phase lines and are fully observable by PMUs. This implicit restriction is then removed by using a transformation that enables the use of SCADA measurements which are more commonly available in power grids. Furthermore\, It has been shown that network parameter errors can bias the state estimation solution. Network parameter errors are common due to aging\, changes in the ambient temperature\, human data entry error\, etc. So\, an efficient approach is proposed to detect and correct the network parameter errors in three-phase untransposed transmission lines. Preliminary results to illustrate the performance of the proposed methods and associated algorithms will be presented using different test systems.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-ramtin-khalili/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211029T120000
DTEND;TZID=America/New_York:20211029T130000
DTSTAMP:20260405T062838
CREATED:20211014T192203Z
LAST-MODIFIED:20211014T192203Z
UID:27845-1635508800-1635512400@coe.northeastern.edu
SUMMARY:Bioengineering PhD Student Seminar Series
DESCRIPTION:Join us Friday\, October 29 at 12:00 PM in Churchill Hall 101 for the Bioengineering PhD Student Seminar Series! Our first presenter will be Bioengineering PhD student Mengdi Yang “Fine Tuning Chemical Modifications towards Highly Specific Inhibitors in Fusobacterium”. Our second presenter will be Narges Yazdani “The Influence of Integrin-mediated Mechanotransduction on Neural Stem Cell Self-renewal and Differentiation”.
URL:https://coe.northeastern.edu/event/bioengineering-phd-student-seminar-series-2/
LOCATION:101 Churchill\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=101 Churchill 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211029T150000
DTEND;TZID=America/New_York:20211029T160000
DTSTAMP:20260405T062838
CREATED:20211021T134543Z
LAST-MODIFIED:20211022T134734Z
UID:28681-1635519600-1635523200@coe.northeastern.edu
SUMMARY:Building Science for all Audiences -  A Panel Discussion of Blind Scientists
DESCRIPTION:Join an interesting panel discussion by eminent blind scientists from across the world who will share their journeys in science & talk about how we all can make science more accessible. \nThe ALLIED (Allies for Leading\, Learning\, Inclusion and Education of Disabilities) Project is working to open discussions and raise awareness about disabilities on campus. The ALLIED Project is supported by the Office of Institutional Diversity and Inclusion through a ‘Faculty Innovations in Diversity and Academic Excellence Grant’. \nOn Friday\, 29 October 2021 \n3 PM – 4 PM (EST) \n655 ISEC\, Northeastern University \nhttps://northeastern.zoom.us/j/94787999129
URL:https://coe.northeastern.edu/event/building-science-for-all-audiences/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211029T150000
DTEND;TZID=America/New_York:20211029T160000
DTSTAMP:20260405T062838
CREATED:20211022T191936Z
LAST-MODIFIED:20211022T191936Z
UID:29124-1635519600-1635523200@coe.northeastern.edu
SUMMARY:COE Science on Tap
DESCRIPTION:The Graduate School of Engineering is excited to present Science on Tap (SoT) on Friday\, October 29\, 2021.  Doors open at 2:30pm EST. The event will start right at 3pm and run for about an hour.  Beer\, hard cider\, pizza and salad\, as well as non-alcoholic beverages will be provided to attendees. \nWhat is Science on Tap? Here at Northeastern University\, this event will provide an opportunity for both PhD students and faculty from all COE departments to network\, enjoy an afternoon of food and drink\, and also listen to a high-level talk science talk. \nThis October 29th talk will be given by one of our very own MIE Department Associate Professors\, Prof. Randy Erb! The title of his talk is: Using Colloidal Physics to Design Material Microstructures for Optimizing Macroscopic Properties. \nThis event is the first of its kind at Northeastern University\, so make sure you RSVP! Here is the link to RSVP.  Due to room capacity restrictions\, the RSVP is required.  The first 20 faculty members who RSVP will be notified and will be able to attend the event.
URL:https://coe.northeastern.edu/event/coe-science-on-tap/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211030T100000
DTEND;TZID=America/New_York:20211030T130000
DTSTAMP:20260405T062838
CREATED:20211008T190738Z
LAST-MODIFIED:20211008T190738Z
UID:27644-1635588000-1635598800@coe.northeastern.edu
SUMMARY:STEM Harvest Fest
DESCRIPTION:On Saturday\, October 30th\, the Center for STEM Education will be hosting a STEM Harvest Fest in the West Village Quad\, for K-12 students interested in learning more about STEM topics. \nThis event\, open to our campus community and the general public\, will run from 10:00am-1:00pm. During this time\, Northeastern STEM-related clubs/organizations will present tabletop activities/demos to visiting elementary and middle school students and their families (the expo is open to K-12 students\, but I would target grades 2-8 for your activity based on prior attendance). As the event is the day before Halloween – we encourage you to dress up in Halloween costumes and theme your activities/demos as spooky/Halloween themes.
URL:https://coe.northeastern.edu/event/stem-harvest-fest/
ORGANIZER;CN="Michael B. Silevitch and Claire J. Duggan Center for STEM Education":MAILTO:stem@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211101T080000
DTEND;TZID=America/New_York:20211101T090000
DTSTAMP:20260405T062838
CREATED:20211019T140025Z
LAST-MODIFIED:20211021T195516Z
UID:28121-1635753600-1635757200@coe.northeastern.edu
SUMMARY:Civil and Environmental Engineering Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Civil and Environmental Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/civil-and-environmental-engineering-webinar-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211101T090000
DTEND;TZID=America/New_York:20211101T100000
DTSTAMP:20260405T062838
CREATED:20211019T152019Z
LAST-MODIFIED:20211021T195555Z
UID:28127-1635757200-1635760800@coe.northeastern.edu
SUMMARY:Bioengineering Programs Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Bioengineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/bioengineering-programs-webinar/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211101T170000
DTEND;TZID=America/New_York:20211101T180000
DTSTAMP:20260405T062838
CREATED:20211018T134752Z
LAST-MODIFIED:20211018T134752Z
UID:27882-1635786000-1635789600@coe.northeastern.edu
SUMMARY:NU CommLab Virtual Workshop:  Creating a Specific Aims Page
DESCRIPTION:Join the NU CommLab for an informative virtual workshop about how to build an effective summary page.\nThis is the most important part of a proposal or grant because it is often the only thing reviewers read. It introduces a problem\, presents a gap in knowledge and proposes a solution. It is intended to demonstrate the credibility of the idea and gain either financial (grant) or committee support. In this workshop\, we will break down the details\, and give you the knowledge and tools to create your own effective summary. We look forward to working with you! \nZoom
URL:https://coe.northeastern.edu/event/nu-commlab-virtual-workshop-creating-a-specific-aims-page/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211102T080000
DTEND;TZID=America/New_York:20211102T090000
DTSTAMP:20260405T062838
CREATED:20211019T140144Z
LAST-MODIFIED:20211019T140144Z
UID:28129-1635840000-1635843600@coe.northeastern.edu
SUMMARY:Student conversation: What it means to be a student from India at Northeastern
DESCRIPTION:Please join the Office of Global Services for a student conversation on what it means to be a student from India at Northeastern.
URL:https://coe.northeastern.edu/event/student-conversation-what-it-means-to-be-a-student-from-india-at-northeastern/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211102T100000
DTEND;TZID=America/New_York:20211102T110000
DTSTAMP:20260405T062838
CREATED:20211019T140302Z
LAST-MODIFIED:20211021T195946Z
UID:28131-1635847200-1635850800@coe.northeastern.edu
SUMMARY:Chemical Engineering Programs Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Chemical Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/chemical-engineering-programs-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T090000
DTEND;TZID=America/New_York:20211103T100000
DTSTAMP:20260405T062838
CREATED:20211019T152121Z
LAST-MODIFIED:20211021T200023Z
UID:28134-1635930000-1635933600@coe.northeastern.edu
SUMMARY:Mechanical and Industrial Engineering Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Mechanical Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/mechanical-and-industrial-engineering-webinar-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T100000
DTEND;TZID=America/New_York:20211103T110000
DTSTAMP:20260405T062838
CREATED:20211004T134453Z
LAST-MODIFIED:20211004T134453Z
UID:27542-1635933600-1635937200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Jared Miller
DESCRIPTION:PhD Proposal Review: Nonlinear and Time-Delay Systems Analysis using Occupation Measures \nJared Miller \nLocation: Zoom Link \nAbstract: Techniques to analyze nonlinear systems include peak and reachable set estimation. The reachable set of a system is the set of states accessible by trajectories of a dynamical system at specified times given initial conditions. The peak estimation problem finds extreme values of a state function along trajectories. Examples of peak estimation include finding the maximum height of a wave\, voltage on a power line\, speed of a vehicle\, and infection rate of an epidemic. These problems may be posed as infinite dimensional linear programs (LP) in occupation measures\, where occupation measures are Borel measures that contain all information about trajectories. Under mild assumptions\, a sequence of Linear Matrix Inequalities (LMI) in increasing degree will converge from outside to the LP optimum\, which is in turn equal to the true optimum of the program in trajectories.\nThe first part of this thesis expands upon the occupation measure formulation for peak estimation. The safety of trajectories with respect to an unsafe set may be quantified by measuring the constraint violation (safety margins)\, which is a maximum peak estimation problem. The distance of closest approach between trajectories and an unsafe set may be bounded through a modification of the peak estimation problem. Peak estimation may be applied to dynamics possessing a broad class of uncertainties\, which includes the data-driven setting of black-box polynomial dynamics. A modular MATLAB toolbox is developed to solve and interpret these variations on peak estimation problems.\nThe second part of this thesis introduces an occupation measure framework for analysis and control of time-delay systems. The evolution of time delay systems depends on present and past values of the state. Some instances of time delay systems with their associated delays include epidemic models (incubation period)\, population dynamics (gestation time)\, and fluid modeling (transport time of fluid moving in a pipe). An occupation measure framework is developed to define weak solutions over a finite time interval of nonlinear time-delay systems with a finite number of bounded discrete delays. Applications of this time-delay weak solution include optimal control (including dead-time)\, peak estimation\, and reachable set estimation of time delay systems.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-jared-miller/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T103000
DTEND;TZID=America/New_York:20211103T110000
DTSTAMP:20260405T062838
CREATED:20211019T140502Z
LAST-MODIFIED:20211021T200104Z
UID:28136-1635935400-1635937200@coe.northeastern.edu
SUMMARY:Electrical & Computer Engineering
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the Electrical and Computer Engineering departmental program offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/electrical-computer-engineering/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T120000
DTEND;TZID=America/New_York:20211103T130000
DTSTAMP:20260405T062838
CREATED:20211018T134457Z
LAST-MODIFIED:20211018T134457Z
UID:27874-1635940800-1635944400@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Keyue Shen
DESCRIPTION:Keyue Shen\, Ph.D. \nAssistant Professor of Biomedical Engineering\, University of Southern California\, Los Angeles CA \n“Metabolic and Microenvironmental Regulation of Cancer and Stem Cells” \nWednesday\, November 3rd\, 2021 \n12:00 pm – 1:00 pm EST \nABSTRACT: \nIn vivo\, tissue structure and local cell-cell/cell-matrix interactions define the microenvironment and regulate a complex landscape of cellular phenotypes and metabolism in tumors and stem cell niches. Such dynamics and heterogeneity often contribute to treatment failures in cancer and regenerative medicine. Identifying the precise microenvironmental cues that trigger the phenotypic or metabolic changes will thus enable the discovery of new targets for cancer or stem cell therapies. However\, it is challenging to pinpoint such cues and track cellular dynamics/heterogeneity in a complex microenvironment in vivo. Our laboratory is focused on creating biologically inspired in vitro platforms to recapitulate the scale of cell signaling in tissue microenvironments from subcellular to tissue levels\, and developing single-cell tools to enable dynamic\, long-term tracking of metabolic heterogeneity and changes in rare cells. We have built-in vitro hypoxic tumor models to recapitulate the metabolic landscapes in solid tumors\, to determine/overcome the key factors that impedes the therapeutic efficacy of chimeric antigen receptor (CAR) T cells. We have also developed micropatterned tumor models to understand the mechano-regulatory mechanisms and mito-nuclear communications in cancer metastasis. Using fluorescence lifetime imaging microscopy\, we created a set of non-invasive metabolic optical biomarkers to identify hematopoietic stem cells (HSCs) from their progenitor counterparts and track their metabolic dynamics during cell division at the single-cell level. With a lipid bilayer model\, we have further discovered a unique role of membrane-bound factors on niche stromal cells in determining the morphology and adhesive function of HSCs in the bone marrow. Our long-term goal is to develop novel strategies for cancer immunotherapy and bone marrow transplantation. \nBIOGRAPHY: \nDr. Keyue Shen received his Bachelor of Engineering in Mechanical Engineering and Master of Science in Biophysics from Tsinghua University of China. He earned his Ph.D. degree in Biomedical Engineering at Columbia University in 2010. He then pursued postdoctoral training in the Center for Engineering in Medicine at Harvard Medical School and Massachusetts General Hospital\, where he won an MGH Fund for Medical Discovery Award. Keyue joined the Department of Biomedical Engineering at the University of Southern California in 2015. He received a Broad Innovation Award from the Eli and Edythe Broad Foundation (2016)\, a Marni Levine Memorial Research Career Development Award from STOP CANCER (2017)\, a Trailblazer Award from the NIH NIBIB (2017)\, and a Rising Star Award from the Biomedical Engineering Society – Cellular and Molecular Bioengineering SIG (2020). His research has been supported by NIH NIBIB and NCI. His group is focused on creating in vitro tissue models of solid tumors and bone marrow niches. His goals are to understand how tumor microenvironments regulate mitochondrial/metabolic functions of cancer and immune cells in cancer progression and therapy\, and how to improve hematopoietic stem cell transplantation and biomanufacturing. \nIf interested in attending\, please email Elizabeth Chesley at e.chesley@northeastern.edu for the Zoom link.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-keyue-shen/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211103T120000
DTEND;TZID=America/New_York:20211103T130000
DTSTAMP:20260405T062838
CREATED:20211101T134011Z
LAST-MODIFIED:20211101T134011Z
UID:29247-1635940800-1635944400@coe.northeastern.edu
SUMMARY:ChE Seminar Series: Detection\, Prediction\, and Visualization of Monolayer Phase Separation on Metallic Nanoparticles
DESCRIPTION:ChE Seminar Series Presents: \nDr. David L. Green \nMaterials Science\, Chemical Engineering\, and Mechanical Engineering Departments \nUniversity of Virginia \nAbstract: The goal is to gain fundamental insights into the factors that dictate the synthesis of monolayer-protected nanoparticles and translate them into rational design strategies for novel functional soft materials. He is interested in monolayer self-assembly\, polymer grafting\, and nanoparticle dispersion. He studies how to exert control over the interface of nanoparticles\, which dictates their degree of compatibility with and assembly in soft materials\, provides reactive sites for attachment of molecules\, such as drug payloads\, and tunes detectable properties\, such as the surface plasmon to a wavelength of interest. David Green is particularly interested in the development of nanoparticles coated with monolayers from mixtures of organic molecules that may also self-assemble into advantageous patterns. As pattern formation in self-assembled monolayers is inextricably linked to their intermolecular interactions\, a key research challenge is the integration of experimental and theoretical techniques to enable de novo design of patterned nanoparticles. \nBio: David Green is an Associate Professor in the Departments of Materials Science and Chemical Engineering at the University of Virginia. He and his team collaborate with chemists\, physicists\, pharmacists\, and oncologists to develop design principles for monolayer-protected nanoparticles.
URL:https://coe.northeastern.edu/event/che-seminar-series-detection-prediction-and-visualization-of-monolayer-phase-separation-on-metallic-nanoparticles/
LOCATION:108 SN
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211104T080000
DTEND;TZID=America/New_York:20211104T090000
DTSTAMP:20260405T062838
CREATED:20211019T140541Z
LAST-MODIFIED:20211021T200143Z
UID:28138-1636012800-1636016400@coe.northeastern.edu
SUMMARY:Cyber Physical Systems & Telecommunication Networks
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the MS in Cyber Physical Systems and MS in Telecommunication Networks course offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/cyber-physical-systems-telecommunication-networks/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211104T090000
DTEND;TZID=America/New_York:20211104T100000
DTSTAMP:20260405T062838
CREATED:20211019T140620Z
LAST-MODIFIED:20211021T200233Z
UID:28142-1636016400-1636020000@coe.northeastern.edu
SUMMARY:MS Information Systems\, MS Software Engineering Systems and MS Data Architecture and Management Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the MS Information Systems\, MS Software Engineering Systems\, and the MS Data Architecture and Management course offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/ms-information-systems-ms-software-engineering-systems-and-ms-data-architecture-and-management-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211104T100000
DTEND;TZID=America/New_York:20211104T110000
DTSTAMP:20260405T062838
CREATED:20211028T144322Z
LAST-MODIFIED:20211028T144322Z
UID:29216-1636020000-1636023600@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Cooper Loughlin
DESCRIPTION:PhD Proposal Review: Unsupervised Machine Learning Approaches to Sequential Data Analysis \nCooper Loughlin \nLocation: Remote \nAbstract: Analysis of sequential data is central to many fields of science and engineering. Often\, sequences are collections of observations made over time and space with little or no contextual information. The goal of analysis may be to evaluate relationships\, identify unusual observations\, or forecast future behavior based on historical data. Unsupervised modeling of sequences (e.g.\, time series) can illuminate the underlying structure of the data and enable analysis. \nIn this proposal\, we discuss a statistical model for multivariate time series and an associated inference algorithm. We develop a preliminary model for a particularly challenging class of multivariate time series where the observations are counts (non-negative integers) that are nonuniformly sampled in time. We develop a state space model and inference algorithm based on Monte Carlo integration and Expectation-Maximization. This preliminary work highlights some key challenges still to be addressed. In particular\, continuously variable sampling intervals\, computational complexity of sampling\, and long-term dependencies among observations are properties of real data that are not handled well by the preliminary model. Recent developments in unsupervised sequence modeling using deep learning techniques are introduced including variational auto-encoders\, recurrent neural networks\, and ordinary differential equation recurrent neural networks. We propose utilizing these deep learning techniques to improve the state of the art in sequential data analysis.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-cooper-loughlin/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211105T080000
DTEND;TZID=America/New_York:20211105T090000
DTSTAMP:20260405T062838
CREATED:20211019T140658Z
LAST-MODIFIED:20211021T200320Z
UID:28144-1636099200-1636102800@coe.northeastern.edu
SUMMARY:Data Analytics Engineering Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing the MS in Data Analytics Engineering courses\, campus offerings\, and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/data-analytics-engineering-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211105T080000
DTEND;TZID=America/New_York:20211105T090000
DTSTAMP:20260405T062838
CREATED:20211019T140913Z
LAST-MODIFIED:20211021T200424Z
UID:28147-1636099200-1636102800@coe.northeastern.edu
SUMMARY:MS Robotics Webinar
DESCRIPTION:Please join faculty and graduate admissions staff at a webinar discussing MS Robotics departmental course offerings and experiential learning opportunities in the Graduate School of Engineering.
URL:https://coe.northeastern.edu/event/ms-robotics-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
END:VCALENDAR