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X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of Engineering
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20201015
DTEND;VALUE=DATE:20201231
DTSTAMP:20260425T204346
CREATED:20201015T142444Z
LAST-MODIFIED:20201015T142444Z
UID:22804-1602720000-1609372799@coe.northeastern.edu
SUMMARY:Meet Your Graduate Student Ambassadors!
DESCRIPTION:Meet your Student Ambassadors! Prospective and Admitted Graduate Students are invited to meet their Student Ambassador via Unibuddy.
URL:https://coe.northeastern.edu/event/meet-your-graduate-student-ambassadors/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201102T090000
DTEND;TZID=America/New_York:20201102T100000
DTSTAMP:20260425T204346
CREATED:20201026T174743Z
LAST-MODIFIED:20201026T174743Z
UID:22898-1604307600-1604311200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Ya Guo
DESCRIPTION:PhD Proposal Review: Power Optimization and Management of PV Grid-Connected Microgrid in Energy Market \nYa Guo \nLocation: Zoom Link \nAbstract: Microgrids can integrate renewable energy resources (RES)\, such as photovoltaics (PV) and wind energy generation\, with the main power grid to provide reliable\, secure and affordable energy. Fortunately\, the electricity markets have evolved to facilitate RES participation. One major challenge lies in how to manage power and energy flow within grid-connected microgrid system\, to optimize financial gains while maintaining high reliability. This becomes challenging since electricity trading policies and tariffs vary by utility companies from area to area. Furthermore\, RES are mostly intermittent sources. Adding additional energy storage systems (ESS) into microgrids becomes a vital solution to mitigating the energy production intermittency\, as well as providing energy backup in emergency. Battery ESS (BESS) are deployed on a large scale in grid-connected installations worldwide. Optimal operation of the energy storage system also becomes important for microgrid end-users to ensure that they will at least recover BESS operating cost. Moreover\, there always exist uncertainties in RES power generation\, load power consumption\, and even dynamic electricity pricing. It is vital to deal with the forecasted errors in real-time. Developing proper uncertainty characterization can better facilitate the whole system power management to limit the negative influences of these uncertainties.\nIn this research\, dynamic programming (DP) algorithm is proposed to forecast the global optimal solution to power flow dispatch of PV grid-connected microgrid. Various electricity pricing structures\, including fixed pricing\, time-of-use (TOU) pricing and real-time pricing (RTP) are explored for customers in different areas. The battery nonlinear charging/discharging degradation model is also exploited for system power optimization. The objective is to achieve the minimum microgrid system operation cost\, in other words\, the maximum economic benefits for end-users. Besides\, this research proposes power control methods to implement forecasted optimal power schedule\, as well as dealing with errors among forecast and real-time PV\, load and RTP. Rule-based (RB) algorithm is also studied as a baseline for comparison. Moreover\, uncertainty characterization for PV\, load and dynamic pricing will be developed using Monte Carlo Simulation (MCS)\, and stochastic optimization approach will be explored in cooperation with these uncertainties.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-ya-guo/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201104T120000
DTEND;TZID=America/New_York:20201104T123000
DTSTAMP:20260425T204346
CREATED:20201030T205522Z
LAST-MODIFIED:20201030T205622Z
UID:22960-1604491200-1604493000@coe.northeastern.edu
SUMMARY:Engineered Models of the Enteric-Gut-Axis
DESCRIPTION:ChE Seminar Series Presents:   \nAbigail N. Koppes\, Ph.D.\nAssistant Professor\, Department of Chemical Engineering\nAffiliate in Biology and Bioengineering \n“Engineered Models of the Enteric-Gut-Axis” \nAbstract: The gut-brain-axis is a complex bi-directional communication pathway between the gastrointestinal tract\, the enteric nervous system (ENS)\, and the central nervous system (CNS) that is implicated in not only gastrointestinal function but also cognitive tasks like memory and decision making. Gastrointestinal flora has also been implicated in alterations of brain function and behavior\, however\, mechanisms behind the gut-to-brain communication remain poorly understood. To investigate the mechanisms for epithelial/neural interactions in the gastrointestinal tract and understand the impact of alterations in neural activity in response to intestinal contents\, we are developing in vitro humanized culture models of the enteric-gut axis. These platforms\, termed “Microphysiological Systems or Organ-Chips” have generated interest from academia and industry as these physiological models may augment drug and basic biological discoveries. However\, the lack of rapid\, scalable\, and facile manufacturing techniques may limit the widespread use of organs-on-chips. Here I will discuss a novel laser-cut and assembly-based fabrication method for simple\, and cost-effective thermoplastic organ-chips. It has also been proposed that seeding patient-derived cells will enable personalized medicine\, but current intestine-on-a-chip models often utilize immortalized cells and rarely include support cells such as enteric neurons. Finally\, I will discuss the culture and differentiation of a primary\, human epithelial monolayer from patient-derived intestinal organoids for on-chip studies that recapitulate the heterogeneous gut population\, and the impact of trophic cross-talk between the epithelium and enteric populations in static models. \nBiography: Dr. Abigail Koppes joined the department of Chemical Engineering at Northeastern University in 2014 where her group\, the Advanced Biomaterials for Neuroengineering Laboratory (ABNEL)\, harnesses biochemical engineering methods to address challenges in nervous system disorders and dysfunction. She was the recipient of the NIH R21 Trailblazer in 2017\, is a co-investigator on a 2019 AHA Innovative Project Award and is a co-investigator on a 2016 NIH Biomedical Research Partnership R01 between Northeastern\, MIT\, and Boston Children’s Hospital. She received the 2020 BMES Rita Shaffer Young Investigator and CMBE Young Innovator Award in 2020. She received her Ph.D. in Biomedical Engineering from Rensselaer Polytechnic Institute (RPI) in Troy\, New York in 2013. Her doctoral research with Dr. Deanna Thompson focused on using electrical stimulation to manipulate neural and supportive glial cell behavior for improved repair following peripheral nervous system injuries. In 2013\, Dr. Koppes joined the Advanced Drug Delivery Research Laboratory with Dr. Rebecca Carrier as the Northeastern University NSF ADVANCE Future Faculty Fellow and held a joint appointment at Schepen’s Eye Research Institute and Harvard Medical School with Dr. Michael Young and as a visiting scientist in Dr. Douglas Lauffenburger’s Molecular Cell Bioengineering group at MIT. At Northeastern Dr. Koppes enjoys teaching Design 1 Lab (Unit Operations Transport I) for undergraduate engineers and Design of Experiments and Ethical Research for graduate students\, where she is a member of the DEI and graduate committees\, as well as has mentored over 40 undergraduates in the laboratory. She also currently serves on the BMES Diversity Committee. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/engineered-models-of-the-enteric-gut-axis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201104T120000
DTEND;TZID=America/New_York:20201104T130000
DTSTAMP:20260425T204346
CREATED:20200930T184121Z
LAST-MODIFIED:20200930T184121Z
UID:22468-1604491200-1604494800@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Leyla Esfandiari
DESCRIPTION:Leyla Esfandiari\, Ph.D. \nAssistant professor\, Department of Electrical Engineering and Biomedical Engineering\, University of Cincinnati\, Cincinnati OH \n“Electrokinetically Driven Micro-pores for Minimally-Invasive Cancer Diagnosis” \nAbstract:  \nEarly detection of cancer is essential for improved long-term survival of patients. Traditionally\, invasive and costly procedures\, such as surgical tissue biopsies have been used for cancer screening. However\, over the past few decades\, advancements in microfluidics and lab-on-a-chip approaches have been made to develop minimally invasive and miniaturized platforms to detect the circulating cancer biomarkers from biofluids. Among circulating biomarkers\, small extracellular vesicles (exosomes)\, have drawn a great deal of attention due to their high abundance in all biofluids and their enriched and highly stable gene regulatory content including micro-RNAs. Tumor-derived exosomes have also shown potential for early diagnosis and prognosis of cancer in difficult to access tumor sites. However\, because of the complex nature of biofluids and the heterogeneous physicochemical properties of exosomes\, their accurate isolation and characterization raises significant challenges in clinical settings. To address these challenges\, we have developed a simple\, yet powerful electrokinetically driven micro-pore device capable of rapid and label-free purification of exosomes from biofluids by applying a significantly low electric field. The device is also tailored with an impedance measurement module to further characterize exosomes based on their unique dielectric properties. We have further used the micro-pores for rapid detection of sequence-specific circulating micro-RNAs with high sensitivity and accuracy.  \nBIOGRAPHY: \nDr. Leyla Esfandiari is a tenure-track assistant professor with dual appointment in the departments of Electrical Engineering and Biomedical Engineering at University of Cincinnati (UC). At UC\, she is the principal investigator of the Integrative BioSensing Laboratory (IBL) with the main focus on development of nano/micro-scaled bioanalytical tools\, organic bioelectronics\, and microfluidics for medical and environmental applications. She has been the member of Cincinnati Cancer Center and the Center for Stem Cell and Organoid Medicine (CuSTOM) at Cincinnati Children’s Hospital. Her research has been supported by the National Institute of Health/ National Cancer Institute\, National Science Foundation\, Department of Transportation (DOT) and Office of Research at UC.  \nDr. Esfandiari completed her doctoral degree in bioengineering from University of California Los Angeles (UCLA); and earned her MSc in biomedical engineering from University of California Irvine. While at UCLA\, she conducted research at the California Nano-System Institution (CNSI)\, the College of Medicine and the College of Engineering and Applied Sciences. Besides academic training\, she has had three years of experience in industry.  \nDr. Esfandiari has won numerous awards including UC College of Engineering and Applied Science Distinguished Research Award\, the William E. Restemeyer Teaching Excellence Award\, UC Faculty Development Award\, UCLA Unrestricted Fellowship\, UC Irvine Kleist Fellowship\, NSF Fellowship\, and Boeing Scholarship.   \nIf interested\, please email Elizabeth Chesley at e.chesley@northeastern.edu for the seminar link.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-leyla-esfandiari/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201104T123000
DTEND;TZID=America/New_York:20201104T130000
DTSTAMP:20260425T204346
CREATED:20201030T205754Z
LAST-MODIFIED:20201030T205754Z
UID:22962-1604493000-1604494800@coe.northeastern.edu
SUMMARY:Magic or Magnetics? Novel Materials for Energy Transfer
DESCRIPTION:ChE Seminar Series Presents:  \nLaura H. Lewis\, Ph.D.\nDistinguished University and Cabot Professor\,  Chemical Engineering\nDistinguished University and Cabot Professor\,  Mechanical and Industrial Engineering \n“Magic or Magnetics? Novel Materials for Energy Transfer” \nAbstract: Magnetic materials permit the wireless interconversion of electrical\, mechanical and\, increasingly\, thermal energies to benefit an enormous breadth of technologies including sustainable energy\, e-mobility\, data storage and biomedicine. Magnetic performance may be controlled through engineering at the atomic\, nanoscopic and microstructural levels\, providing a vast arena for realization of new types of magnetic materials. This presentation provides a brief overview of selected research activities\, with focus on recent progress to realize a new material\, tetrataenite\, that holds promise as a new advanced permanent magnet free of critical\, geopolitically constrained elements. \nBiography: Laura H. Lewis is a Distinguished University and Cabot Professor of Chemical Engineering and Profes¬sor of Mechanical and Industrial Engineering at Northeastern University in Boston\, MA\, U.S.A. Prior to her faculty position at Northeastern University\, she was a research group leader and Associate Department Chair in the Nanoscience Department of Brookhaven National Laboratory (BNL)\, a U.S. Department of Energy Laboratory devoted to research in the physical\, biomedical\, and environmental sciences\, as well as in energy technologies. Concurrently\, she was the Deputy Director of the BNL Center for Functional Nanomaterials\, a DOE national user facility to provide researchers with state-of-the-art capabilities to fabricate and study nanoscale materials. Laura received her Ph.D. in Materials Science and Engineering from the University of Texas at Austin; she earned a M.S. degree in Electronic Materials from M.I.T. and a B.S. degree in Physics and Earth Sciences from the University of California at San Diego. \nLaura’s research focuses on investigating the materials factors at the atomic level that provide functionality to magnetic materials\, with a specialization in sustainable elements and rare earths. She has authored over 200 peer-reviewed publications and delivered over 100 invited presentations at national and international venues. She has participated on a number of advisory panels\, most recently as am Advisory Board Member of the Critical Materials Institute\, A DOE Energy Innovation Hub\, the IEEE Magnetics Society AdCom and International Advisory Committee of the Joint European Magnetics Symposia. She has been appointed as a member of the U.S. Technical Advisory Group to the ISO/TC 298 Standard for Rare Earth that will determine the U.S. position on standardization in the field of rare earth mining\, concentration\, extraction\, separation and conversion to useful rare earth compounds/materials which are key inputs to manufacturing and technologies. \nLaura is a Senior Member of the IEEE and served as Conference Editor of the IEEE Transactions on Magnetics (2008 – 2018) and Chair of the IEEE Magnetics Society Technical Committee (2017 – 2019). She is a Fellow of the American Physical Society\, a Fulbright Fellow as well as a member of the Materials Research Society\, the American Chemical Society and the American Society for Engineering Education. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/magic-or-magnetics-novel-materials-for-energy-transfer/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201105T120000
DTEND;TZID=America/New_York:20201105T130000
DTSTAMP:20260425T204346
CREATED:20201023T171519Z
LAST-MODIFIED:20201023T171519Z
UID:22874-1604577600-1604581200@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Aziz Kocanaogullari
DESCRIPTION:PhD Dissertation Defense: Active Recursive Bayesian Classification (Querying and Stopping) for Event Related Potential Driven Brain Computer Interface Systems \nAziz Kocanaogullari \nLocation: Remote (contact akocanaogullari@ece.neu.edu) \nAbstract: Recursive Bayesian classification (RBC) requires optimal latent variable estimation in the presence of noisy observation to achieve real-time sequential decision making. Active RBC introduced in this dissertation attempts to effectively select queries that lead to more informative observations to rapidly reduce uncertainty until a confident decision is made. Accordingly\, active RBC includes the following fundamental components:(S)A stopping criterion based on the posterior probability to stop evidence collection;(Q)a querying step to decide how to collect further evidence from relevant sources to benefit speed and accuracy objectives of RBC;(C)a classification objective based on the posterior distribution and loss values attributed to each true label and decision option pair to determine the optimal decision once the stopping criterion has been satisfied.\nThis dissertation specifically focuses on optimizing querying (Q) and stopping (S) for RBC. Conventional stopping criterion design methodologies lack insight of the RBC geometry and evolution of the posterior probability vector. Additionally\, conventional active querying methods stagger due to misleading prior information. In this case\, the system uses time inefficiently to overcome the provided belief by querying most likely candidates a number of iterations. Furthermore\, in contrast to inference and querying being coactive\, typically the optimality objectives are designed separately.\nAn electroencephalography (EEG)-based brain computer interface (BCI) system specifically de-signed for typing is used as a testbed for active RBC. BCI systems provide a communication pathway between the user and the environment both in medical and non-medical domains. EEG signals are widely used with promising performance to estimate user intent in BCI systems. BCI typing systems are epitomes of RBC driven systems as repeated evidence collection is mandated due to highly variable EEG signals given a particular user intent (latent variable hidden in the brain). However\, in many cases\, EEG-based communication staggers and lacks accuracy and speed due to inefficient RBC.\nTo increase the performance of RBC\, motivated by information theoretic approaches to coding and active learning this dissertation contributes to the literature in three folds: (i) A complete analysis of stopping criterion and geometrical description of the RBC problem is provided. Motivated by the posterior motion a stopping criterion design is proposed. Moreover\, an early stopping scheme with one step ahead prediction is shown to make a decision with marginal accuracy deficit. (ii)Influenced by the posterior motion\, a new query selection objective is proposed. This querying mechanism is shown to result in rapid and accurate inference in scenarios in which the recursive inference starts with a misleading (or adversarial) prior probability distribution for the latent variable of interest (e.g. user attempting to type a letter/word that is unlikely according to the language model). (iii) Querying and stopping approaches are taken together into consideration and an experimental study specifically on BCI typing is presented. Additionally\, the dissertation shows it is possible to reformulate RBC with Rényi entropy measures solidifying the connection between stopping and querying objective design. All contributions are verified using a BCI typing system “BCIPy” with simulations and human-in-the-loop experiments.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-aziz-kocanaogullari/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201106T080000
DTEND;TZID=America/New_York:20201106T090000
DTSTAMP:20260425T204346
CREATED:20201103T154029Z
LAST-MODIFIED:20201103T154029Z
UID:22993-1604649600-1604653200@coe.northeastern.edu
SUMMARY:Welcome to Northeastern's College of Engineering with Dean Meleis + Director of Student Services\, Allison Jacobs
DESCRIPTION:Admitted students are invited to meet Associate Dean of Graduate Studies\, Waleed Meleis and Director of Graduate Student Services\, Allison Jacobs in this live virtual session. \nJoin link: https://us02web.zoom.us/webinar/register/WN_DPRRVE-pT3qmak04VPRnLQ \nAudience: All admits for Spring\, 2021 including deferrals from a previous term
URL:https://coe.northeastern.edu/event/welcome-to-northeasterns-college-of-engineering-with-dean-meleis-director-of-student-services-allison-jacobs/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201106T120000
DTEND;TZID=America/New_York:20201106T120000
DTSTAMP:20260425T204346
CREATED:20201030T175827Z
LAST-MODIFIED:20201030T175827Z
UID:22953-1604664000-1604664000@coe.northeastern.edu
SUMMARY:COE Study Abroad Info Session
DESCRIPTION:Learn about the exciting opportunities from COE students. Hear from a bioengineering student who studied in Ireland and a mechanical engineering student who studied in England. \nPresented by Amanda Earley\, GEO and Joy Erb\, COE. \nFor more information please contact Joy Erb:  j.erb@northeastern.edu \nStudy Abroad Info Session Link \nMeeting ID:  957 9553 8214
URL:https://coe.northeastern.edu/event/coe-study-abroad-info-session-3/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201109T080000
DTEND;TZID=America/New_York:20201109T090000
DTSTAMP:20260425T204346
CREATED:20201103T153835Z
LAST-MODIFIED:20201103T153835Z
UID:22998-1604908800-1604912400@coe.northeastern.edu
SUMMARY:Bioengineering Graduate School Webinar
DESCRIPTION:Join current faculty\, staff and current students to learn more about graduate program options in Bioengineering \nMonday\, November 9 \n8:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_Acz1Ke3XSpGQ4zOVBzw-vA
URL:https://coe.northeastern.edu/event/bioengineering-graduate-school-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201109T090000
DTEND;TZID=America/New_York:20201109T100000
DTSTAMP:20260425T204346
CREATED:20201103T153738Z
LAST-MODIFIED:20201103T153738Z
UID:23000-1604912400-1604916000@coe.northeastern.edu
SUMMARY:Chemical Engineering Graduate School Webinar
DESCRIPTION:Join faculty staff and current students to learn more about graduate school options in Chemical Engineering \nMonday\, November 9 \n9:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_sYCnSrZWQq6L1mrkdLnWsg
URL:https://coe.northeastern.edu/event/chemical-engineering-graduate-school-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201109T150000
DTEND;TZID=America/New_York:20201109T160000
DTSTAMP:20260425T204346
CREATED:20201105T170658Z
LAST-MODIFIED:20201105T170658Z
UID:23072-1604934000-1604937600@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Carlos Bocanegra
DESCRIPTION:PhD Proposal Review: A Systems Approach to Spectrum Sharing and Multi-antenna Operation for Emerging Networks \nCarlos Bocanegra \nLocation: TBD \nAbstract: The demands on wireless connectivity and sensing are ever-increasing\, fueled by both emerging applications and an exponential growth in the number of connected devices. Availability of new spectrum in the sub-6GHz bands is limited\, which motivates research on innovative ways to utilize the current available spectrum and explore the use of additional spectrum beyond the 6GHz threshold.\nThis thesis explores three promising techniques with focus on the Physical (L1) and Link (L2) layers. Approach 1 concerns spectrum sharing in the sub-6GHz band\, where wireless standards are granted opportunistic access within unlicensed spectrum to increase their usable bandwidth. Approach 2 concerns the design of massive multi-antenna systems\, through which devices can benefit from beamforming gains at transmission and diversity gains at reception. Approach 3 concerns the use of very high frequency bands (VHFB)\, or so called millimeter-wave bands. Each of these approaches\, however\, has its own set of challenges\, such as fairness in channel access\, interference management\, and optimal beamforming user-specified quality-of-service\, respectively.\nFor spectrum sharing as described in Approach 1\, this thesis presents E-Fi\, an interference-evasion mechanism that allows Wi-Fi devices to survive opportunistic in-band LTE transmissions. The main contribution is to achieve this without any cooperation between these two\, using Almost Blank Subframes (ABS). E-Fi ensures fair channel access while reusing existing Wi-Fi standards\, i.e.\, Wi-Fi Direct\, and thus incurring minimal deployment costs.\nFor Approach 2\, this thesis introduces two multi-antenna frameworks\, a decentralized one for cellular- and a centralized one for IoT-oriented applications\, respectively. For the former\, it presents NetBeam\, a reconfigurable system of distributed 3D beamformers (3DBF). While NetBeam uses 3DBF to tackle multi-user interference in 3D multi-user deployments\, it enforces Machine Learning and efficient antenna selection strategies to deliver the individual required SINR levels to users. As a centralized multi-antenna system\, it presents RFGo\, a privacy-preserving self-checkout system using passive Radio Frequency ID (RFID) tags. RFGo achieves fast tag discovery using a custom-built RFID reader\, which simultaneously decodes a tag’s response from multiple carrier-level synchronized antennas. RFGo achieves reliable tag detection by means of a neural network that accurately discriminates products within the checkout area from those laying outside of it.\nIn the proposed work that covers Approach 3\, this thesis describes an outline of an algorithmic framework for millimeter-wave communications that efficiently allocates antenna elements from Base Stations (BS) to users for hybrid beamforming\, while considering their individual traffic demands. We propose to trade-off flexible array geometries (that allows to limit interference to specific regions) versus the irregularity that results in the sidelobes.\nIn summary\, this thesis tackles complex challenges in the future 5G and beyond wireless networks through a combination theory\, algorithm design and experimental implementation.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-carlos-bocanegra/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T080000
DTEND;TZID=America/New_York:20201110T090000
DTSTAMP:20260425T204346
CREATED:20201103T153607Z
LAST-MODIFIED:20201103T153607Z
UID:23004-1604995200-1604998800@coe.northeastern.edu
SUMMARY:Civil and Environmental Engineering Webinar
DESCRIPTION:Join faculty staff and current students to learn more about graduate school options in Civil + Environmental Engineering \nTuesday\, November 10 \n8:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_Vv1zQp56T1aTOv2k9mlFKQ
URL:https://coe.northeastern.edu/event/civil-and-environmental-engineering-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T120000
DTEND;TZID=America/New_York:20201110T133000
DTSTAMP:20260425T204346
CREATED:20201106T160040Z
LAST-MODIFIED:20201106T160040Z
UID:23078-1605009600-1605015000@coe.northeastern.edu
SUMMARY:GradTalk 101 - Masters Panel
DESCRIPTION:The Graduate Students of Color Collective (GSCC) and the Alliance for Diversity in Science and Engineering (ADSE) would like to invite you to join us for our GradTalk 101 – Masters Panel on Tuesday\, November 10\, 2020\, from 12-1:30 pm. We have some amazing students that offered to share their experiences about their journey through Northeastern and pass off their wisdom to anyone looking to go and obtain a Masters degree. \nVisit https://northeastern.zoom.us/meeting/register/tJckcuuvrzIoH9NlwL7J8UOiVFJXtp0p2jAF to register and submit questions that you would like for our panelist to answer.\nWe look forward to your participation.
URL:https://coe.northeastern.edu/event/gradtalk-101-masters-panel/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T190000
DTEND;TZID=America/New_York:20201110T203000
DTSTAMP:20260425T204346
CREATED:20201106T195249Z
LAST-MODIFIED:20201106T195249Z
UID:23094-1605034800-1605040200@coe.northeastern.edu
SUMMARY:Chemical Engineering: Careers & Jobs Discussion with the Industrial Advisory Board Members
DESCRIPTION:This is an opportunity to virtually meet with ChemE Alumni currently working in or retired from industry jobs. \nTopics for Discussion: \n\nSuggestions for job searches in the current pandemic environment\nTraditional Career Paths in Chemical Engineering\nGraduate School\nNon-Traditional Career Paths\nAssessment of Current Industrial Job Opportunities\nConsiderations for Career/ Job Decisions\nSocial and Other Topics\n\nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the event.
URL:https://coe.northeastern.edu/event/chemical-engineering-careers-jobs-discussion-with-the-industrial-advisory-board-members/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201111T090000
DTEND;TZID=America/New_York:20201111T100000
DTSTAMP:20260425T204346
CREATED:20201103T153402Z
LAST-MODIFIED:20201103T153402Z
UID:23009-1605085200-1605088800@coe.northeastern.edu
SUMMARY:Information Systems\, Software Engineering Design\, Data Architecture + Management Webinar
DESCRIPTION:Join faculty staff and current students to learn more about graduate school options in \nInformation Systems\, Software Engineering Design\, Data Architecture + Management \nWednesday\, November 11 \n9:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_uC78rYvSTqK54AVgMEGi4Q
URL:https://coe.northeastern.edu/event/information-systems-software-engineering-design-data-architecture-management-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201112T080000
DTEND;TZID=America/New_York:20201112T090000
DTSTAMP:20260425T204346
CREATED:20201103T160901Z
LAST-MODIFIED:20201103T160901Z
UID:23011-1605168000-1605171600@coe.northeastern.edu
SUMMARY:Telecommunication Networks and Cyber Physical Systems Webinar
DESCRIPTION:Join faculty staff and current students to learn more about graduate school options in Telecommunication Networks and Cyber Physical Systems \nThursday\, November 12 \n8:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_h3M5RJOPTYyehhi6HF5sLQ
URL:https://coe.northeastern.edu/event/telecommunication-networks-and-cyber-physical-systems-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201112T120000
DTEND;TZID=America/New_York:20201112T130000
DTSTAMP:20260425T204346
CREATED:20201102T170200Z
LAST-MODIFIED:20201102T170200Z
UID:22980-1605182400-1605186000@coe.northeastern.edu
SUMMARY:CEE Lunch & Learn Seminar Series
DESCRIPTION:The Department of Civil and Environmental Engineering’s Research Affairs Committee (RAC) is pleased to announce our newest seminar series: Lunch & Learn. This bi-monthly lunchtime event will explore interdisciplinary engineering issues\, encouraging collaboration amongst Northeastern colleagues and collaborators on transformative ideas related to CEE and beyond. \n\n\nWe would like to invite you to join us for the inaugural event in this series\, a discussion with CEE Professor Auroop Ganguly and Dr. Evan Kodra of risQ. Their presentation\, Convergent Academic Research to Socially Motivated Startup: the case of Northeastern-spinout risQ\, will explore the development of risQ as a viable business entity capable of maintaining its social mission. 30 minutes of Q&A will follow the presentation. \n\n\n\nTopic: CEE Lunch & Learn: Drs. Ganguly and Kodra \n\n\n\n\n\n\n\nTime: Nov 12\, 2020 12:00 PM Eastern Time (US and Canada) \n\nPlease RSVP to receive a link to participate in this event.
URL:https://coe.northeastern.edu/event/cee-lunch-learn-seminar-series/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201112T130000
DTEND;TZID=America/New_York:20201112T140000
DTSTAMP:20260425T204346
CREATED:20201103T150924Z
LAST-MODIFIED:20201103T150924Z
UID:22987-1605186000-1605189600@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Yaoshen Yuan
DESCRIPTION:PhD Proposal Review: Enhancements for Monte Carlo Light Modeling Method and Its Applications in Near-infrared-based Brain Techniques \nYaoshen Yuan \nLocation: Microsoft Teams Link \nAbstract: Studying light propagation in biological tissues is critical for developing biophotonics techniques and its applications. Monte Carlo (MC) method\, a stochastic solver for radiative transfer equation\, has been recognized as the gold standard for modeling light propagation in turbid media. However\, due to the stochastic nature of MC method\, millions even billions of photons are usually required to achieve accurate results using MC method\, leading to a long computational time even with the acceleration using graphical processing units (GPU).\nFurthermore\, due to the rapid advances in multi-scale optical imaging techniques such as optical coherence tomography (OCT) and multiphoton microscopy (MPM)\, there is an increasing need to model light propagation in extremely complex tissues such as vessel networks. The mesh-based Monte Carlo (MMC) is usually superior than the voxel-based MC method for such modeling since unlike grid-like voxels\, tetrahedral meshes can represent arbitrary shapes with curved boundaries. However\, the mesh density can be excessively high when the tissue structure is extremely complex\, resulting in high computational costs and memory demand. The goal of this proposal is to focus on solving the challenges mentioned above. \nTo tackle the first challenge\, we came up with a filtering approach with GPU acceleration to improve the signal-to-noise ratio (SNR) of the results while keeping the simulated photons low. The adaptive non-local means (ANLM) filter is selected to suppress the stochastic noise in MC results because 1) the filtering process on each voxel is mutually independent\, making it possible for parallel computing; 2) it has high performance in denoising and a strong capacity in edge-preserving. For the second problem\, a novel method\, implicit mesh-based Monte Carlo (iMMC)\, was proposed to significantly reduce the mesh density. The iMMC utilizes the edge\, node and face of the tetrahedral mesh to model tissue structures with shapes of cylinder\, sphere and thin layer. The typical applications for edge\, node and face-based iMMC are vessel networks\, porous media and membranes\, respectively. Lastly\, we applied MC simulations and aforementioned filter on segmented brain models derived from MRI neurodevelopmental atlas to estimate the light dosage for transcranial photobiomodulation (t-PBM)\, a technique for treating major depressive disorder using near infrared\, across lifespan. Furthermore\, a new approach that can improve the penetration depth in optical brain imaging as well as PBM is proposed. In this approach\, the possibility of placing light sources in head cavities is investigated using MC simulations. The preliminary results demonstrate a better performance in deep brain monitoring compared to the standard transcranial approach using 10-20 EEG positioning system. \n 
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-yaoshen-yuan/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T080000
DTEND;TZID=America/New_York:20201113T090000
DTSTAMP:20260425T204346
CREATED:20201103T153515Z
LAST-MODIFIED:20201103T215256Z
UID:23007-1605254400-1605258000@coe.northeastern.edu
SUMMARY:Mechanical and Industrial Engineering Webinar
DESCRIPTION:Join faculty staff and current students to learn more about graduate school options in Mechanical + Industrial Engineering \nTuesday\, November 13 \n8:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_zBf8jdeiQICLL16poUut1w
URL:https://coe.northeastern.edu/event/mechanical-and-industrial-engineering-webinar/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T090000
DTEND;TZID=America/New_York:20201113T100000
DTSTAMP:20260425T204346
CREATED:20201103T160724Z
LAST-MODIFIED:20201103T160724Z
UID:23013-1605258000-1605261600@coe.northeastern.edu
SUMMARY:Electrical and Computer Engineering Webinar
DESCRIPTION:Join faculty staff and current students to learn more about graduate school options in Electrical + Computer Engineering \nFriday\, November 13 \n9:00 AM EST \nhttps://us02web.zoom.us/webinar/register/WN_sBbUcJBJQ_eroL2ll-mjbQ
URL:https://coe.northeastern.edu/event/electrical-and-computer-engineering-webinar-2/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T120000
DTEND;TZID=America/New_York:20201113T130000
DTSTAMP:20260425T204346
CREATED:20201113T192414Z
LAST-MODIFIED:20201113T192508Z
UID:23169-1605268800-1605272400@coe.northeastern.edu
SUMMARY:SPIRAL Seminar: Fault-tolerant federated and distributed machine learning
DESCRIPTION:Speaker: Sanmi Koyejo (University of Illinois at Urbana-Champaign)\nTitle: Fault-tolerant federated and distributed machine learning\nTime: Friday\, 11/13\, 12 pm ET/ 11 am CST/ 9 am PT\nLocation: https://northeastern.zoom.us/j/95550946164\nStudent Host: Peng Wu\nFaculty Host: Stratis loannidis \nAbstract:\nMachine learning (ML) models are routinely trained and deployed among devices that are susceptible to hardware/software/communication errors and/or security concerns. Examples include geo-distributed datacenters with non-negligible communication latency\, groups of mobile devices or Internet of Things (IoT)\, and volunteer ML computing. For such settings\, distributed training typically consists of separate updates interleaved with aggregation. To this end\, I will outline novel aggregation schemes for fault-tolerant federated learning and distributed training via stochastic gradient descent. The proposed aggregation schemes are shown to be provably robust to worst-case errors from a large fraction of arbitrarily malicious workers (aka Byzantine errors)\, with minimal effect on convergence rates. Empirical evaluation in a variety of real-world setting further highlights the performance of the proposed aggregation strategies. \nBiography:\nSanmi Koyejo an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo’s research interests are in developing the principles and practice of adaptive and robust machine learning. Additionally\, Koyejo focuses on applications to neuroscience and biomedical imaging. Koyejo has been the recipient of several awards including a best paper award from the conference on uncertainty in artificial intelligence (UAI)\, a Kavli Fellowship\, an IJCAI early career spotlight\, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves on the board of the Black in AI organization. http://sanmi.cs.illinois.edu/bio.html
URL:https://coe.northeastern.edu/event/spiral-seminar-fault-tolerant-federated-and-distributed-machine-learning/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201113T140000
DTEND;TZID=America/New_York:20201113T150000
DTSTAMP:20260425T204346
CREATED:20201109T214923Z
LAST-MODIFIED:20201109T214923Z
UID:23104-1605276000-1605279600@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Yumin Liu
DESCRIPTION:PhD Proposal Review: Learning from Spatio-Temporal Data with Applications in Climate Science \nYumin Liu \nLocation: Zoom Link \nAbstract:Climate change is one of the major challenges to human beings and many other species in our time. In the recent decade\, the number of disasters related to climate change such as wildfires\, storms\, floods and droughts are increasing\, and the casualty and economic losses caused by them are larger compared to those of decades ago. This calls for better and efficient ways to predict climate change in order to better prepare and reduce losses. Predicting climate change involves using historical observational data and model simulated data\, both of which usually involve multiple locations and timestamps and are spatio-temporal. With the rapid development and progress of machine learning\, these methods have achieved several impactful contributions in many domains; we would like to translate its impact to climate science.\nIn this thesis we addressseveral problems in climate science. This challenging complex domain enable us to develop\, innovate\, adapt\, and advance machine learning in the following ways. 1) We develop a multi-task learning method to estimate relationships between tasks and learn the basis tasks in different locations especially for nearby locations which may share similar climate patterns. This method assumes that the weights of an observed task is a linear combination of several latent basis tasks and that the task relationships can be learnt by imposing a regularized precision matrix. 2) We propose a nonparameteric mixture of sparse linear regression models to cluster and identify important climate models for prediction. This model incorporates Dirichlet Process (DP) to automatically determine the number of clusters\, imposes Markov Random Field (MRF) constraints to guarantee spatio-temporal smoothness\, and selects a subset of global climate models (GCMs) that are useful for prediction within each spatio-temporal cluster with a spike-and-slab prior. We derive an effective Gibbs sampling method for this model. 3) We adapt image super resolution method to climate downscaling — increasing spatial resolution for climate variables for local impact analysis. The proposed method is called YNet which is a novel deep convolutional neural network (CNN) with skip connections and fusion capabilities to perform downscaling for climate variables on multiple GCMs directly rather than on reanalysis data.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-yumin-liu/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20201116
DTEND;VALUE=DATE:20201123
DTSTAMP:20260425T204346
CREATED:20201105T183211Z
LAST-MODIFIED:20201105T183211Z
UID:23076-1605484800-1606089599@coe.northeastern.edu
SUMMARY:Global Entrepreneurship Week 2020
DESCRIPTION:Global Entrepreneurship Week (GEW) is the largest celebration of innovators and entrepreneurs in the world. Sponsored by the Kauffman Foundation\, more than 130 countries participate in GEW each year. Through various programs and events held by businesses\, organizations\, and academic institutions\, GEW week stimulates the entrepreneurial spirit\, inspiring people to create their own startup companies and giving existing entrepreneurs an opportunity to share their expertise. \nVisit the GEW website to view and register for GEW events hosted by groups like IDEA\, Entrepreneurs Club\, NU-Impact\, McCarthy(s) Venture Mentoring Network\, Women Who Empower\, Center for Research Innovation and Health Science Entrepreneurs.
URL:https://coe.northeastern.edu/event/global-entrepreneurship-week-2020/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201116T130000
DTEND;TZID=America/New_York:20201116T143000
DTSTAMP:20260425T204346
CREATED:20201113T202104Z
LAST-MODIFIED:20201113T202104Z
UID:23172-1605531600-1605537000@coe.northeastern.edu
SUMMARY:H-1B and Additional After Graduation Employment-Based Visa Options: Immigration Attorneys present.
DESCRIPTION:This session is only offered once per semester and is open to both NU students and alumni. Available Virtually (not recorded) \nRegistration on NUworks Encouraged: https://northeastern-csm.symplicity.com/students/ \nWant to know your immigration options for after graduation employment? Heard about the H-1B- cap and cap exempt\, L\, E\, TN\, O or other options\, including self-sponsored options and the National Interest Waiver. Learn about employment-based visa options\, including the H-1B\, L\, E\, TN\, O\, and self-sponsored options and the National Interest Waiver.\nWondering what all of those mean and whether there have been any changes to these options\, as well as which ones may work for you? We’ve all been hearing about changes to the L\, as well as possible changes to the H-1B. Hear directly from Immigration Attorneys Richard Iandoli\, Prasant Desai and Attorney Mary Walsh of Iandoli\, Desai & Cronin P.C. and ask questions. Learn what is actually changing versus what has not changed and consider your options for how you can best navigate. Get the right information for you and position yourself for success. This session is only offered once per semester (virtual via zoom). \nHow to attend:\nThis presentation is virtual. Please click on the following link: https://northeastern.zoom.us/j/98862750317 \nThis program connects to the SAIL domain Personal and Professional Effectiveness using strategic thinking\, organizational\, and planning skills. Co-Sponsored with Office of Global Services (OGS). This is part of International Education Week.\nQuestions? Please contact Ellen Zold Goldman: e.goldman@northeastern.edu
URL:https://coe.northeastern.edu/event/h-1b-and-additional-after-graduation-employment-based-visa-options-immigration-attorneys-present/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20201117
DTEND;VALUE=DATE:20201118
DTSTAMP:20260425T204346
CREATED:20201116T145321Z
LAST-MODIFIED:20201116T145321Z
UID:23179-1605571200-1605657599@coe.northeastern.edu
SUMMARY:3 Minute Thesis Competition - Announcement
DESCRIPTION:The annual GWiSE 3 Minute Thesis Competition 2020 is finally here! The 3MT is an academic competition that challenges Ph.D. students to describe their research within three minutes. This is a great opportunity to practice pitching your research to a non-specialist audience and to improve your science communication. Northeastern GWiSE and the Northeastern University Library have partnered to make 3 Minute Thesis possible with some pretty cool prizes: \n\nFirst place: 100$ Grubhub card\, an interview on the Dean’s podcast\, 100$ credit for 3D printing at the library\nSecond place: 50$ Grubhub card\, an interview on the Dean’s podcast\, 50$ credit for 3D printing at the library\nThird place: 25$ Grubhub card\, an interview on the Dean’s podcast\n\nRSVP to participate here. \nMore details for submission will be sent to those who RSVP. The deadline for video submission is Tuesday\, November 24th via email to gwise.neu@gmail.com. Video requirements\, 3-minute recording over : \n\n1st slide: title and author’s name\n2nd slide: thesis content\n\nThe live event will take place on Wednesday\, December 2nd from 2 PM to 4 PM ET on Zoom! All grad students are welcome to attend and/or present. The event will work in this way: \n\nGWiSE will host the event on Zoom and play prerecorded videos of participants’ explaining their thesis in under 3 minutes\nAfter each video is shown\, the judges will have time to discuss the presentations and assign scores\nGWiSE will proclaim the winners and offer the prizes!\n\nReminder\, please RSVP to participate here. The deadline for video submission is on the 24th of November. To submit your video\, send a video file to gwise.neu@gmail.com. The actual event is on Wednesday\, December 2nd.
URL:https://coe.northeastern.edu/event/3-minute-thesis-competition-announcement/
ORGANIZER;CN="GWiSE%3A Graduate Women in Science and Engineering":MAILTO:gwise.neu@gmail.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T080000
DTEND;TZID=America/New_York:20201117T090000
DTSTAMP:20260425T204346
CREATED:20201103T160612Z
LAST-MODIFIED:20201103T160612Z
UID:23015-1605600000-1605603600@coe.northeastern.edu
SUMMARY:IEM-sponsored virtual event: Student Experience: Chinese Community
DESCRIPTION:IEM-sponsored virtual event: Student Experience: Chinese Community \nAudience: All admits for Spring\, 2021 including deferrals from a previous term. \nJoin link: https://northeastern.zoom.us/j/99685828902
URL:https://coe.northeastern.edu/event/iem-sponsored-virtual-event-student-experience-chinese-community/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T120000
DTEND;TZID=America/New_York:20201117T130000
DTSTAMP:20260425T204346
CREATED:20201110T194535Z
LAST-MODIFIED:20201110T194535Z
UID:23113-1605614400-1605618000@coe.northeastern.edu
SUMMARY:Founder's Roundtable
DESCRIPTION:Founder’s Roundtable inspires faculty entrepreneurship in conjunction with Global Entrepreneurship Week at Northeastern. \nThe event features professors Thomas Webster\, Rupal Patel\, and Sidi Bencherif who will discuss the motivation behind their ventures\, the challenges they face bringing tech to industry\, and the incentives powering their success. James Sherley\, Founder and Director of Asymmetrex\, will moderate the roundtable. \nEvent Details \n\nTuesday\, November 17 \, 2020\nMicrosoft Teams\n12:00 – 1:00 EST\n\nLinks \n\nFounder’s Roundtable LinkedIn Post\nFounder’s Roundtable event page
URL:https://coe.northeastern.edu/event/founders-roundtable/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201117T120000
DTEND;TZID=America/New_York:20201117T130000
DTSTAMP:20260425T204346
CREATED:20201116T150341Z
LAST-MODIFIED:20201116T150341Z
UID:23192-1605614400-1605618000@coe.northeastern.edu
SUMMARY:Faculty Learning Circles: Sharing Strategies & Tips for Teaching in NUflex
DESCRIPTION:For many of us\, this past year has challenged us to quickly adapt to new technologies and modalities of teaching. In the spring\, we made a rapid transition to remote teaching\, and this fall we have tackled Hybrid NUflex. Some have also forayed into the fully online teaching of NU Start courses. What works? Faculty Learning Circles provide an opportunity for us to come together\, pooling our firsthand experience to share strategies and tips. There will also be time to brainstorm solutions to the challenges that we are still in the process of figuring out. \nRegister
URL:https://coe.northeastern.edu/event/faculty-learning-circles-sharing-strategies-tips-for-teaching-in-nuflex/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T080000
DTEND;TZID=America/New_York:20201118T090000
DTSTAMP:20260425T204346
CREATED:20201103T160522Z
LAST-MODIFIED:20201103T160522Z
UID:23017-1605686400-1605690000@coe.northeastern.edu
SUMMARY:IEM-sponsored virtual event: Student Experience: Indian Community
DESCRIPTION:November 18: IEM-sponsored virtual event: Student Experience: Indian Community \nAudience: All admits for Spring\, 2021 including deferrals from a previous term. \nJoin link: https://northeastern.zoom.us/j/91065781764
URL:https://coe.northeastern.edu/event/iem-sponsored-virtual-event-student-experience-indian-community/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201118T120000
DTEND;TZID=America/New_York:20201118T130000
DTSTAMP:20260425T204346
CREATED:20200930T184251Z
LAST-MODIFIED:20200930T184251Z
UID:22482-1605700800-1605704400@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Christoph Juchem
DESCRIPTION:Christoph Juchem\, Ph.D. \nAssociate Professor in the Departments of Biomedical Engineering and Radiology\, Columbia University\, New York New York \n“Magnetic Resonance Imaging and B0 Shimming with the Dynamic Multi-Coil Technique (DYNAMITE)” \nABSTRACT:   \nIn my talk\, I will present a technique for B0 magnetic field control that is based on the combination of fields generated by a matrix of small\, individually driven generic coils. This multi-coil approach enables the accurate generation of simple and complex magnetic field shapes in a flexible fashion. B0 shimming with the dynamic multi-coil technique (DYNAMITE) outperforms conventional methods based on spherical harmonic functions and provides unrivaled magnetic field homogeneity in mouse\, rat and human brain. Along with the efficiency gains of DYNAMITE shimming compared to spherical harmonic approaches\, the multi-coil concept has the potential to replace conventional shim systems that are based on sets of dedicated SH coils and allow optimal object-specific shim solutions. The technology furthermore lends itself to spatial encoding. I will present MRI results\, including concomitant imaging and B0 shimming\, in which all fields are purely DYNAMITE-based and conclude with the first realization of DYNAMITE MRI of the in vivo human brain. The obtained image fidelity is comparable to MRI with conventional gradient coils\, paving the way for full-fledged human DYNAMITE MRI systems. \nBIOGRAPHY: \nDr. Juchem is an Associate Professor in the Departments of Biomedical Engineering and Radiology at Columbia University. In his research\, he develops technology and methods to realize the full clinical potential of magnetic resonance applications. Dr. Juchem has 18 years of experience in developing and conducting in vivo MR experiments at 3.0-11.7 Tesla field in humans and animal models. He served as Co-Director of Yale University’s 7T Brain MR Spectroscopy Core\, Chair of the ISMRM Engineering Study group\, and he serves on the editorial board of NMR in Biomedicine. \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-christoph-juchem/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
END:VCALENDAR