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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201008T120000
DTEND;TZID=America/New_York:20201008T124500
DTSTAMP:20260521T121023
CREATED:20200828T214826Z
LAST-MODIFIED:20200828T214826Z
UID:22038-1602158400-1602161100@coe.northeastern.edu
SUMMARY:Getting Started with RefWorks
DESCRIPTION:Start your fall 2020 research off on the right foot with Snell Library’s series of online workshops about citation management! In this session\, learn how to use RefWorks to help you manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-refworks/2020-10-08/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201008T120000
DTEND;TZID=America/New_York:20201008T130000
DTSTAMP:20260521T121023
CREATED:20201002T194950Z
LAST-MODIFIED:20201002T194950Z
UID:22522-1602158400-1602162000@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Aileen Huang-Saad
DESCRIPTION:Aileen Huang-Saad\, Ph.D.\, MBA \nAssociate Professor\, Biomedical Engineering\, Entrepreneurship\, and Engineering Education\, University of Michigan\, Ann Arbor MI  \n“Closing the Gap Between Theory and Practice: Rethinking Engineering Education in Real-Time” \nABSTRACT:   \nDespite 20 years of focus on organizational change and effective educational best practices in STEM higher education\, significant research findings have had minimal influences on practice.  In 2016\, the University of Michigan BME Department sought to disrupt engineering education. Informed by organizational change theory\, we asked: 1) Is there potential for change; 2) what strategies facilitate change\, and 3) how can these strategies be implemented? As a result\, we developed an Instructional Design Sequence\, a new approach to instruction in which students\, post-docs\, and faculty create short Modules that use evidence-based teaching practices to expose BME students to BME professional practice.  This talk describes how the Sequence was conceived of and demonstrates how organizational theory\, entrepreneurship\, and design can be used to inform education practice. The resultant Sequence has the potential to be a transferrable model for transforming engineering education\, offering a new mechanism for integrating career-relevant curriculum into undergraduate curriculum in real-time\, while training future educators in instructional evidence-based practices. \nBIOGRAPHY: \nDr. Huang-Saad is faculty in the Department of Biomedical Engineering and Engineering Education at the University of Michigan. Dr. Huang-Saad has a thirteen-year history of bringing about organizational change in higher education\, leveraging evidence-based practices. She created the U-M BME graduate design program\, co-founded the U-M College of Engineering Center for Entrepreneurship\, launched the U-M National Science Foundation (NSF) I-Corps Node\, and developed the U-M BME Instructional Incubator. She is a canonical instructor for both the NSF and National Institute of Health (NIH) I-Corps Programs. Dr. Huang-Saad has received numerous awards for her teaching and student advising\, including the 1938E College of Engineering Award\, the Thomas M. Sawyer\, Jr. Teaching Award\, the U-M ASEE Outstanding Professor Award\, the International Teaching with Sakai Innovation Award\, and the College of Engineering Outstanding Student Advisor Award.  \nDr. Huang-Saad’s current research areas are entrepreneurship\, innovation\, and transforming higher education.  She is funded by the NSF to explore the influence of the microenvironment of entrepreneurship education on minoritized populations\, entrepreneurial ecosystems\, and fostering graduate student professional development.   \nPrior to joining the University of Michigan faculty\, Dr. Huang-Saad worked in industry gaining experience in new venture biotech\, the defense industry\, and medical device testing.  She has a Bachelor of Science in Engineering from the University of Pennsylvania\, a Doctor of Philosophy from The Johns Hopkins University School of Medicine\, and a Master of Business Administration from the University of Michigan Ross School of Business. \nIf interested in attending\, please email Elizabeth Chesley at e.chesley@northeastern.edu \n 
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-aileen-huang-saad/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201009T120000
DTEND;TZID=America/New_York:20201009T124500
DTSTAMP:20260521T121023
CREATED:20200828T214920Z
LAST-MODIFIED:20200828T214920Z
UID:22047-1602244800-1602247500@coe.northeastern.edu
SUMMARY:Getting Started with EndNote for Mac
DESCRIPTION:Start your fall 2020 research off on the right foot with Snell Library’s series of online workshops about citation management! In this session\, learn how to use EndNote for Mac to help you manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-endnote-for-mac/2020-10-09/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201009T120000
DTEND;TZID=America/New_York:20201009T130000
DTSTAMP:20260521T121023
CREATED:20200916T193834Z
LAST-MODIFIED:20200916T193834Z
UID:22271-1602244800-1602248400@coe.northeastern.edu
SUMMARY:Bioengineering Works in Progress Student Seminar Series
DESCRIPTION:This virtual seminar series is an opportunity for Bioengineering graduate students to present their research. The first presenter is Yifang Liu from the Rouhanifard lab. Title: “Defining cell states based on stochastic transcription”. The second presenter is Max Winkelman from the Dai lab. Title: “Bioengineered Neurovascular Niche Supports Neural Stem Cell Proliferation and Neurogenesis”. Please email Danielle at d.freshnock@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/bioengineering-works-in-progress-student-seminar-series-5/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201012T130000
DTEND;TZID=America/New_York:20201012T140000
DTSTAMP:20260521T121023
CREATED:20201005T144512Z
LAST-MODIFIED:20201005T144512Z
UID:22553-1602507600-1602511200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Muhamed Yildiz
DESCRIPTION:PhD Proposal Review: Interpretable Machine Learning for Retinopathy of Prematurity \nMuhamed Yildiz \nLocation: Zoom Link \nAbstract: Retinopathy of Prematurity (ROP)\, a leading cause of childhood blindness\, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease\, defined as abnormal tortuosity and dilation of the posterior retinal blood vessels\, is the most important feature to determine treatment-requiring ROP. State-of-the-art ROP detection systems employ convolutional neural networks (CNNs) and achieve up to $0.947$ and $0.982$ area under the ROC curve (AUC) in the discrimination of and levels of ROP. However\, due to their black-box nature\, clinicians are reluctant to trust diagnostic predictions of CNNs. \nFirst\, we aim to create an interpretable\, feature extraction-based pipeline\, namely\, I-ROP ASSIST\, that achieves CNN like performance when diagnosing plus disease from retinal images. Our method segments retinal vessels\, detects the vessel centerlines. Then\, our method extracts features relevant to ROP\, including tortuosity and dilation measures\, and uses these features for classification via logistic regression\, support vector machines and neural networks to assess a severity score for the input. For predicting and levels of ROP on a dataset containing 5512 posterior retinal images\, we achieve $0.88$ and $0.94$ AUC\, respectively. Our system combining automatic retinal vessel segmentation\, tracing\, feature extraction and classification is able to diagnose plus disease in ROP with CNN like performance. \nFurthermore\, we aim to address the interpretability problem of CNN-based ROP detection system. Incorporating visual attention capabilities in CNNs enhances interpretability by highlighting regions in the images that CNNs utilize for prediction. Generic visual attention methods do not leverage structural domain information such as tortuosity and dilation of retinal blood vessels in ROP diagnosis. We propose the Structural Visual Guidance Attention Networks (SVGA-Net) method\, that leverages structural domain information to guide visual attention in CNNs. SVGA-Net achieves $0.979$ and $0.987$ AUC to predict and levels of ROP. Moreover\, SVGA-Net consistently results in higher AUC compared to visual attention CNNs without guidance\, baseline CNNs\, and CNNs with structured masks.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-muhamed-yildiz/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201012T140000
DTEND;TZID=America/New_York:20201012T150000
DTSTAMP:20260521T121023
CREATED:20201006T192350Z
LAST-MODIFIED:20201006T192350Z
UID:22584-1602511200-1602514800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Sara Banian
DESCRIPTION:PhD Proposal Review: Content-Aware Design Assistance Frameworks for Graphic Design Layouts \nSara Banian \nLocation: Zoom Link \nAbstract: Layout is an important visual communication factor in graphic design that encompasses a page’s overall composition. During the different design stages\, designers express their requirements through images describing the interface’s visual layout\, hierarchical structure\, and content. They create wireframe layouts to meet user requirements and find relative design examples to gain inspiration and explore design alternatives. This is not only an iterative process\, but also a time-consuming one. \nIn this proposal\, we aim to design and evaluate design assistance methodologies to augment the process of layout design with a particular focus on visual search and wireframe creation in the context of mobile User Interface (UI) deign. For visual search\, we investigate how to find design examples that are relative to the design requirements of a UI layout. Layout retrieval is different from pixel-level image retrieval\, as it requires processing both the spatial layout and the content of the data to retrieve similar images. To achieve this\, I explore the problem of user interface image retrieval from both the data and the model side\, by collecting a more highly annotated\, well-suited dataset and proposing an object-detection based image retrieval model. The model takes as input a user interface image and retrieves the visually similar design examples. It uses object detection to identify the user interface components\, performs semantic segmentation to produce a hierarchical structure\, and trains an attention-aware multi-modal embedding network that leans the structure and content of the given layout design for relevant image retrieval. Results show that the system is capable of retrieving relative design examples through content analysis. Next\, I propose a generative framework to investigate how to generate layout wireframes according to user specifications and following common design practices and conventions. The generative framework aims at modeling the content of the UI layouts taking into account different layout variations and design features.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-sara-banian/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201013T080000
DTEND;TZID=America/New_York:20201013T170000
DTSTAMP:20260521T121023
CREATED:20201013T204855Z
LAST-MODIFIED:20201013T204855Z
UID:22790-1602576000-1602608400@coe.northeastern.edu
SUMMARY:ChE Seminar Series Presents: Joshua Gallaway
DESCRIPTION:Joshua Gallaway\, Ph.D. \nDiPietro Assistant Professor \nDepartment of Chemical Engineering\, Northeastern University\, Boston\, MA \n“Next Generation for the Grid”  \nAbstract: In our lab\, we study mechanisms within complex electrochemical systems. Practical electrochemical systems such as batteries\, sensors\, and fuel cells are often complex\, involving engineered high surface area electrodes\, starved electrolyte conditions\, phase transformations\, and interplay of the two electrodes. For these reasons\, there are significant deviations from ideal behavior as well as emergent or unexpected phenomena. We seek to understand these to engineer better devices for broad societal benefit\, such as the worldwide adoption of sustainable energy. We have developed strategies for coupling electrochemical methods with materials synthesis\, theory\, and operando analysis techniques\, often based on high energy X-rays. This allows distributed and localized phenomena to be observed within operating electrochemical cells\, and fundamental mechanistic information to be extracted from within the complex system. Thus we have a laboratory equipped for modern electroanalytical study and also make use of specialized X-ray sources maintained by the US Department of Energy. Recent research has focused on low-cost and safe battery materials for electrical storage at the scale of the power grid. Intermittent renewables like solar and wind power will succeed if excess electricity can be stored safely without adding significantly to the cost. \nBiography: Joshua Gallaway has been an Assistant Professor at Northeastern University since 2017\, where he has founded the Analysis of Complex Electrochemical Systems Laboratory (ACES). He received his PhD in chemical engineering from Columbia University in 2007. Working with his advisor Prof. Scott Calabrese Barton\, he characterized the electron transfer rates of enzymes embedded in oxygen-reducing hydrogels. After his PhD work he completed a postdoctoral appointment with Prof. Alan West\, also at Columbia\, studying non-uniform current distributions in sub-micron interconnect features for the semiconductor industry. He then joined the newly-formed CUNY Energy Institute in a research position funded by the Wallis Foundation. There he worked on an ARPA-E funded project headed by Distinguished Professor Sanjoy Banerjee\, which resulted in the spin out company Urban Electric Power. His recent research has focused on using high energy synchrotron techniques to visualize non-uniform reactions within battery electrodes. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-presents-joshua-gallaway/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201013T120000
DTEND;TZID=America/New_York:20201013T124500
DTSTAMP:20260521T121023
CREATED:20200828T215002Z
LAST-MODIFIED:20200828T215002Z
UID:22054-1602590400-1602593100@coe.northeastern.edu
SUMMARY:Getting Started with Mendeley
DESCRIPTION:Start your fall 2020 research off on the right foot with Snell Library’s series of online workshops about citation management! In this session\, learn how to use Mendeley to help you manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-mendeley/2020-10-13/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201014T120000
DTEND;TZID=America/New_York:20201014T123000
DTSTAMP:20260521T121023
CREATED:20201013T204557Z
LAST-MODIFIED:20201013T204625Z
UID:22787-1602676800-1602678600@coe.northeastern.edu
SUMMARY:ChE Seminar Series Presents: Richard West
DESCRIPTION:Richard West\, Ph.D.\nAssociate Professor\nDepartment of Chemical Engineering\, Northeastern University\, Boston\, MA \n“Detailed Kinetic Modeling: using computers to predict complex systems of chemical reactions” \nAbstract: The primary focus of our research is the development of detailed microkinetic models for complex reacting systems\, like combustion\, heterogeneous catalysis\, and bio-fuel processing. Our approach is to automate the discovery of reaction pathways\, and the calculation of key parameters using ab initio quantum chemistry calculations\, and novel machine learning techniques. These kinetic models will link to multi-scale models of the reactor systems so that the overall process can be understood and optimized as a whole. This approach towards microkinetic model development will then contribute to the optimization and understanding of catalytic processes\, leading to catalyst design and discovery\, as well as combustion processes\, leading to safer and greener fire suppressants\, refrigerants\, and fuels. Our approach to computational chemistry involves both learning chemistry from the computers\, and teaching chemistry to the computers. Learn more at neu.edu/comocheng. \nBiography: Richard read Chemical Engineering at the University of Cambridge\, completing his BA and MEng degrees in 2004. He was in the first cohort to spend a year at MIT on the undergraduate exchange program of the Cambridge-MIT Institute. He returned to MIT for a semester of graduate classes at the start of his PhD\, also in Chemical Engineering at the University of Cambridge. His thesis work\, in the Computational Modelling Group of Prof. Markus Kraft\, was on modeling the chloride process for the gas-phase synthesis of titanium dioxide nano particles. He finished in 2008 and returned to MIT once more\, this time as a postdoctoral research associate working with Prof. William Green to develop detailed kinetic models and the tools used to create them. In 2011 he moved across the river to Boston\, starting the Computational Modeling in Chemical Engineering group at Northeastern University. In 2018 he became an Associate Professor (with tenure) and the Associate Chair for Graduate Studies in the Department of Chemical Engineering\, a position he held until his sabbatical began in 2020. He lives with his wife (also NU faculty) and 5-year-old daughter in Brookline\, MA. You can follow his weird toast diet on Instagram (@richardhwest). \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-presents-richard-west/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201014T120000
DTEND;TZID=America/New_York:20201014T124500
DTSTAMP:20260521T121023
CREATED:20200828T215040Z
LAST-MODIFIED:20200828T215040Z
UID:22059-1602676800-1602679500@coe.northeastern.edu
SUMMARY:Getting Started with Zotero
DESCRIPTION:Start your fall 2020 research off on the right foot with Snell Library’s series of online workshops about citation management! In this session\, learn how to use Zotero to help you manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/getting-started-with-zotero/2020-10-14/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201014T120000
DTEND;TZID=America/New_York:20201014T130000
DTSTAMP:20260521T121023
CREATED:20200929T200239Z
LAST-MODIFIED:20200929T200239Z
UID:22469-1602676800-1602680400@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Roger Kamm
DESCRIPTION:Roger Kamm\, Ph.D. \nCecil and Ida Green Distinguished Professor of Biological and Mechanical Engineering\, Massachusetts Institute of Technology\, Cambridge MA  \n“Metastasis on a chip: Effects of intravascular and transendothelial flow” \nABSTRACT:   \nMany CTCs fail to survive the voyage from the primary tumor to the metastatic site\, and die before they can initiate a new tumor.  Others not only survive\, but enter into the tissue where some fraction proliferate and spread.  We studied the effects of vascular flows\, both intravascular (IVF) and transendothelial (TEF) on tumor cell adhesion\, migration and transendothelial migration with the goal of better understanding how flow either promotes or impedes metastasis.  Our results show that CTCs migrate or are dragged in the direction of flow prior to trans-endothelial migration.  We also observe enhanced potential for TEM due to IVF.  TEF\, on the other hand\, has little effect on either migration of CTCs along the luminal surface of the endothelium or their propensity to undergo trans-endothelial migration\, but hastens the process once initiated.  TEF increased the migration speed of tumor cells post-extravasation\, and caused the cells to remain close to the outer endothelial surface. In summary\, both types of flow tend to promote a pro-metastatic phenotype. \nBIOGRAPHY: \nRoger Kamm is the Cecil and Ida Green Distinguished Professor of Biological and Mechanical Engineering at MIT\, where he has served on the faculty since 1978. Kamm has long been instrumental in developing research activities at the interface of biology and mechanics\, formerly in cell and molecular mechanics\, and now in engineered living systems.  Current interests are in developing models of healthy and diseased organ function using microfluidic technologies\, with a focus on vascularization.   \nPlease email Elizabeth Chesley at e.chesley@northeastern.edu for the seminar link.
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-roger-kamm/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20201015
DTEND;VALUE=DATE:20201231
DTSTAMP:20260521T121023
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:20201015T110000
DTEND;TZID=America/New_York:20201015T150000
DTSTAMP:20260521T121023
CREATED:20200923T202124Z
LAST-MODIFIED:20200923T202124Z
UID:22392-1602759600-1602774000@coe.northeastern.edu
SUMMARY:Engineering Graduate School Virtual Fair
DESCRIPTION:Join the Graduate School of Engineering Admissions team at Career Echo’s Virtual Graduate School Fair for Engineering programs on October 15th from 11:00 am -3:00pm. Our admissions team will be available to speak about graduate MS\, PhD\, and Certificate Programs. \nRegister today!
URL:https://coe.northeastern.edu/event/engineering-graduate-school-virtual-fair/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201015T160000
DTEND;TZID=America/New_York:20201015T170000
DTSTAMP:20260521T121023
CREATED:20201007T151555Z
LAST-MODIFIED:20201007T151555Z
UID:22588-1602777600-1602781200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Maher Kachmar
DESCRIPTION:PhD Proposal Review: Active Resource Partitioning and Planning for Storage Systems using Time Series Forecasting and Machine Learning Techniques \nMaher Kachmar \nLocation: Zoom Link \nAbstract: In today’s enterprise storage systems\, supported data services such as snapshot delete or drive rebuild can result in tremendous performance overhead if executed inline along with heavy foreground IO\, often leading to missing Service Level Objectives (SLOs). Moreover\, static partitioning of storage systems resources such as CPU cores or memory caches may lead to missing Service Level Agreements (SLAs) such as data reduction rate (DRR). However\, typical storage system applications such as Virtual Desktop Infrastructure (VDI) or web services follow a repetitive workload pattern that can be learned and/or forecasted. Learning these workload pattern allows us to address several storage system resource partitioning and planning challenges that may not be overcome with traditional manual tuning and primitive feedback mechanism. \nWe propose a priority-based background scheduler that learns storage system workload repetitive pattern and allows storage systems to maintain peak performance and meet service level objectives (SLOs) while supporting a number of data services. When foreground IO demand intensifies\, system resources are dedicated to service foreground IO requests and any background processing that can be deferred are recorded to be processed in future idle cycles as long as our forecaster predicts that the storage pool has remaining capacity. The smart background scheduler adopts a resource partitioning model that allows both foreground and background IO to execute together as long as foreground IOs are not impacted\, harnessing any free cycles to clear background debt. Using traces from VDI and web services applications\, we show how our technique can out performance a static method that sets fixed limits on the deferred background debt and reduces SLO violations from 54.6% (when using a fixed background debt watermark)\, to only 6.2% when dynamically adjusted by our smart background scheduler. \nThis thesis also proposes a smart capacity planning and recommendation tool that ensures the right number of drives are available in the storage pool in order to meet both capacity and performance constrains without over-provisioning storage. Aided by forecasting models that characterizes workload pattern\, we can predict future storage pool utilization and drive over-wearing. Similarly\, to meet SLOs\, the tool recommends expanding pool space in order to defer more background work through larger debt bins. We also propose a content-aware learning cache (CALC) that uses machine learning techniques to actively partition the storage system cache between a deduplication data digest cache\, content cache\, and address based data cache to improve cache hit performance while maximizing data reduction rate (DRR).
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-maher-kachmar/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201016T120000
DTEND;TZID=America/New_York:20201016T120000
DTSTAMP:20260521T121023
CREATED:20201013T152223Z
LAST-MODIFIED:20201013T152223Z
UID:22746-1602849600-1602849600@coe.northeastern.edu
SUMMARY:COE Dialogue of Civilizations Information Session
DESCRIPTION:Hear from COE students who have done a dialogue before: \n\nAlex Renaud\nEnvironmental Engineering and Landscape Architecture\nSustainable Engineering in the 21st Century – Brazil\nJulia Ubertini\nCivil Engineering\nGlobal Climate Change\, Science\, and Policy – India\n\nLocation:  DOC Information Session Link \nMeeting ID: 969 3847 5666 \nLearn about in-person and virtual dialogues this summer. For more information please contact Joy Erb:  j.erb@northeastern.edu
URL:https://coe.northeastern.edu/event/coe-dialogue-of-civilizations-information-session/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201016T120000
DTEND;TZID=America/New_York:20201016T130000
DTSTAMP:20260521T121023
CREATED:20200916T194005Z
LAST-MODIFIED:20200916T194005Z
UID:22273-1602849600-1602853200@coe.northeastern.edu
SUMMARY:Bioengineering Works in Progress Student Seminar Series
DESCRIPTION:This virtual seminar series is an opportunity for Bioengineering graduate students to present their research. The first presenter is Sepideh Tavakoli from the Rouhanifard lab. Title: “Single-molecule detection of modified mRNAs in human cells”. The second presenter is Aleksandra Petelski from the Slavov lab. Title: “Exploring Ribosomal Protein Stoichiometry in Lung Adenocarcinoma Patients”. Please email Danielle at d.freshnock@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/bioengineering-works-in-progress-student-seminar-series-6/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201017T080000
DTEND;TZID=America/New_York:20201017T140000
DTSTAMP:20260521T121023
CREATED:20200805T135759Z
LAST-MODIFIED:20200805T135759Z
UID:21758-1602921600-1602943200@coe.northeastern.edu
SUMMARY:Graduate Studies Virtual Open House
DESCRIPTION:Northeastern University will be hosting a Graduate Studies Virtual Open House for students interested in pursuing their graduate studies at Northeastern. Join Graduate School of Engineering faculty\, staff\, and current students on October 17th from 8-2pm to learn more about your program of interest. \nMore information including a schedule of events and a registration link will be added to the Graduate Studies website when available.
URL:https://coe.northeastern.edu/event/graduate-studies-virtual-open-house/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201020T183000
DTEND;TZID=America/Los_Angeles:20201020T210000
DTSTAMP:20260521T121023
CREATED:20200923T141042Z
LAST-MODIFIED:20200923T141042Z
UID:22383-1603218600-1603227600@coe.northeastern.edu
SUMMARY:West Coast Masters Alumni Panel on Diversity\, Equity\, and Inclusion
DESCRIPTION:On October 20th\, from 6:30-9pm PST\, Graduate Student Services is hosting a virtual Alumni Panel on Diversity\, Equity\, and Inclusion in the Engineering Field for West Coast Master’s students.  Panelists are all graduates of COE and have a diverse range of experiences in Engineering.  From 6:30-7:30pm\, the panelists will discuss with one another their experiences regarding these topics\, and from 7:30-8pm\, students can ask the panelists any questions they have.  Finally\, from 8-9pm\, an optional networking event with the panelists is available for students.  The link to register/RSVP will be sent out shortly.
URL:https://coe.northeastern.edu/event/west-coast-masters-alumni-panel-on-diversity-equity-and-inclusion/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T090000
DTEND;TZID=America/New_York:20201021T100000
DTSTAMP:20260521T121023
CREATED:20201016T141139Z
LAST-MODIFIED:20201016T141139Z
UID:22813-1603270800-1603274400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Wenqian Liu
DESCRIPTION:PhD Proposal Review: Explainable Efficient Models for Computer Vision Applications \nWenqian Liu \nLocation: Zoom Link \nAbstract: State of the art deep learning based models\, such as Convolutional Neural Networks (CNNs) and generative models\, achieve impressive results\, but with their great performance comes great complexity and opacity\, huge parametric spaces and little explainability. The criticality of model explainability and output interpretability\, manifests clearly in real-time critical decision making processes and human-centred applications\, such as in healthcare\, security and insurance. \nExplainability and interpretability are tackled in this thesis\, as intrinsic qualities in the model architecture as well as post-hoc improvement on existing models. \nIn the area of frame prediction in video sequences\, we introduce DYAN\, a novel network with very few parameters\, that is easy to train and produces accurate high quality frame predictions and more compact than previous approaches. Another key aspect of DYAN is interpretability\, as its encoder-decoder architecture is designed following concepts from systems identification theory and exploits the dynamics-based invariants of the data. We also introduce KW-DYAN\, an extension of DYAN that tackles the issue of time lagging in video predictions\, by implementing a novel way of quantifying prediction timeliness and proposing a new recurrent network for adaptive temporal sequence prediction that employs a warping module to reduce dynamic changes and a Kalman filtering module to detect dynamic changes in video frames. The experimental results show the reduced lagging across the tested Caltech dataset and the UCF dataset\, while also performing well in other commonly used metrics. \nIn the area of image classification\, categorization and scene understanding\, we observe that techniques such as gradient-based visual attentions have driven much recent efforts in using visual attention maps as a mean for visual explanations of Convolution Neural Networks (CNNs)\, with impressive results but fail to extend to explaining generative models\, e.g Variational Autoencoders (VAEs) as efficiently. In this thesis we bridge this crucial gap\, and propose the first technique to visually explain VAEs by means of gradient-based attentions\, with methods to generate visual attentions from the learned latent space\, and also demonstrate such attention explanations serve more than just explaining VAEs. We show how these attention maps can be used to localize anomalies in images\, conducting state-of-the-art performance on the MVTec-AD dataset. We also show how they can be infused into model training\, helping bootstrap the VAEs into learning disentangled latent space\, as proved on the Dsprites dataset.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-wenqian-liu/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201021T090000
DTEND;TZID=America/Los_Angeles:20201021T110000
DTSTAMP:20260521T121023
CREATED:20201006T143833Z
LAST-MODIFIED:20201006T143833Z
UID:22576-1603270800-1603278000@coe.northeastern.edu
SUMMARY:Graduate and Law/Professional School Fair
DESCRIPTION:Join the Graduate School of Engineering and Northeastern West Coast Admissions teams at Saint Mary’s College of California. They will be available to answer your admissions and program questions. This event will take place on October 21\, 2020 from 12:00pm-2pm PT virtually.
URL:https://coe.northeastern.edu/event/graduate-and-law-professional-school-fair/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T120000
DTEND;TZID=America/New_York:20201021T123000
DTSTAMP:20260521T121023
CREATED:20201021T143956Z
LAST-MODIFIED:20201021T143956Z
UID:22837-1603281600-1603283400@coe.northeastern.edu
SUMMARY:Environmental Interactions with the Human and Engineered Structures
DESCRIPTION:ChE Seminar Series Presents: A-Andrew D. Jones\, III\nAssistant Professor\, Department of Chemical Engineering\nAffiliate Faculty\, School of Public Policy and Urban Affairs\, Northeastern University\, Boston\, MA \n“Environmental Interactions with the Human and Engineered Structures” \nAbstract: In the Systems for Engaging the Environment Lab we study “series of tubes”.  From the antimicrobial resistance crises that will hit in ~2030 to the water crises we are in the midst of\, many of our environmental problems can be described by flow through tubes in parallel and series. We are developing game theory models of policy interaction around shared resources\, like water and air. We are developing tools to help identify when drinking water is contaminated using electrochemistry and microfluidics to better share that finite resource. We are developing models describing why engineered nanomaterials embed inside bacteria biofilms when they are released into estuaries to monitor and care for the finite resource. These models then lead back to game theory models of how bacteria biofilms defeat novel drugs and drug delivery systems through social interactions. Due to the COVID19 pandemic\, most of our current work is numerical and theoretical\, however we also leverage tools like the rotating disk electrode\, continuous stirred tank reactors\, packed-bed plug flow reactors\, and microfluidic versions of the latter to verify and refine our models. Our models start with numerical schemes\, with an end goal to create operational dimensionless relations. Much of our data analysis uses machine learning to sift through the complexity. \nBiography: Dr. Jones seeks to help us understand and live with the natural environment studying biological systems under engineered constraints. This includes experimental analysis of bacteria’s form and function when we try to remove them. This also includes systems engineering analysis to discover characteristics of innovations that solve more problems than they create. Dr. Jones has been an avid teacher and educator of all ages since 1999. He has mentored high school\, undergraduate\, and graduate students in research. He has received over 20 academic awards\, including the Montana State University Center for Biofilm Engineering’s Young Investigator Award and a Sloan Scholar Award from the Alfred P. Sloan Foundation. He has presented at over 20 conferences and invited seminars on topics from mathematical modeling biofilms to policy impacts of technological development. He received his PhD\, MS\, and BS in Mechanical Engineering and a BS in Mathematics all from MIT with a focus on transport phenomena. He completed post-doctoral studies in 2019 at Northeastern University as 1 of 2 Provost supported Future Faculty Fellows at the university under Profs Thomas J. Webster and Carlos C. Hidrovo-Chavez. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/environmental-interactions-with-the-human-and-engineered-structures/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T120000
DTEND;TZID=America/New_York:20201021T130000
DTSTAMP:20260521T121023
CREATED:20201002T195130Z
LAST-MODIFIED:20201002T195130Z
UID:22525-1603281600-1603285200@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Jennifer Fiegel
DESCRIPTION:Jennifer Fiegel\, Ph.D. \nAssociate Professor and Director of Graduate Studies\, Department of Chemical and Biochemical Engineering\, University of Iowa\, Iowa City IA \n“Oh the Places You’ll Go – Strategies to Treat Pulmonary Bacterial Biofilms and Cell-Penetrating Microbes” \nABSTRACT:   \nLung diseases remain a leading cause of death worldwide\, with significant increases observed in incidence\, morbidity\, and mortality over several decades. The lungs are a critical organ for life\, but are particularly susceptible to injury and airborne infection. Once established in the lungs\, bacterial lung infections can be difficult to eradicate due to a lack of effective antimicrobial drug concentrations at the site of infection\, the formation of bacterial colonies or biofilms in the lungs\, and microbe invasion of lung tissues. The Fiegel lab has been developing a variety of strategies to target antimicrobial treatments directly to the lungs to eliminate bacterial pathogens. In this talk\, I will discuss work from our lab in two areas. First\, I will describe our efforts to develop dry powder aerosols containing a novel combination therapy to enhance the susceptibility of biofilm-forming bacteria to common antibiotics. These therapies combine the action of dispersion compounds to aid the removal of bacteria from the biofilm community\, with that of traditional antibiotics to eliminate the pathogens. While these combinations can eradicate both young and mature biofilms more effectively than antibiotics alone\, testing on patient-isolated bacteria suggests that a clinical course of treatment must be personalized. Second\, I will discuss our efforts to design multi-functional zwitterionic polymer coatings for nanoparticles to reduce biofouling of the nanoparticle surface and enhance adhesion to the lung epithelium. We have observed that polymer coatings help maintain nanoparticle stability in serum and lung fluid\, likely due to strong hydration of the polymers and reduced protein adsorption. However\, while increased particle uptake was observed for zwitterionic-coated particles exposed to serum\, no differences were observed with particles exposed to lung fluid. This suggests that a distinct protein corona is formed in the two fluids which differentially influences particle-cell interactions. \nBIOGRAPHY: \nJennifer Fiegel is an Associate Professor and Director of Graduate Studies in the Department of Chemical and Biochemical Engineering at the University of Iowa. She received her PhD in Chemical and Biomolecular Engineering from Johns Hopkins University in 2004\, then performed postdoctoral studies in the area of aerosol treatments for tuberculosis at Harvard University until 2006. At the University of Iowa\, Dr. Fiegel has developed a multi-disciplinary research program focused on the design of drug delivery systems for the treatment of infections of the lungs and skin. As part of this work\, she examines the behavior of complex lung fluids and particle-fluid interactions. This work has led to over 40 peer-reviewed publications\, book chapters\, and patents; and funding from the NIH and NSF. She has recently expanded her research portfolio to include engineering education research\, with a current focus on engineering ethics. But what she is most proud of is the 14 graduate students and 49 undergraduate students\, more than half of whom are underrepresented in STEM\, that she has mentored in her laboratory since becoming a faculty member. Her emphasis on student development has been acknowledged through teaching awards in both the Colleges of Engineering and Pharmacy\, as well as a Diversity Stimulus Award\, Summer Research Opportunities Mentoring Award\, and Champion for Student Success Award at the university. \nIf interested in attending\, please email Elizabeth Chesley at e.chesley@northeastern.edu
URL:https://coe.northeastern.edu/event/bioe-seminar-series-presents-jennifer-fiegel/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T120000
DTEND;TZID=America/New_York:20201021T160000
DTSTAMP:20260521T121023
CREATED:20200928T181007Z
LAST-MODIFIED:20200928T181138Z
UID:22438-1603281600-1603296000@coe.northeastern.edu
SUMMARY:University of Vermont Fall 2020 Graduate School Fair
DESCRIPTION:Join the Graduate Admissions team the Fall 2020 Graduate School Fair hosted by the University of Vermont. They will be available to answer your admissions and program questions. This event will take place on October 21\, 2020\, from 12- 4pm. virtually.
URL:https://coe.northeastern.edu/event/university-of-vermont-fall-2020-graduate-school-fair/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T123000
DTEND;TZID=America/New_York:20201021T130000
DTSTAMP:20260521T121023
CREATED:20201021T144147Z
LAST-MODIFIED:20201021T144147Z
UID:22839-1603283400-1603285200@coe.northeastern.edu
SUMMARY:ChE Seminar Series Presents: Steve Lustig
DESCRIPTION:ChE Seminar Series Presents: Steve Lustig  \nAssociate Professor & Associate Chair of Research\, Department of Chemical Engineering\, Northeastern University\, Boston\, MA \nAbstract: Not available at this time \nBio: Steve Lustig is an Associate Professor for the Department of Chemical Engineering at Northeastern University. He earned a BS in Chemical Engineering with Distinction from the University of Virginia in 1983. He then earned his MS in 1985 and PhD in 1989 from Purdue University. He joined the Chemical Engineering Department at Northeastern in 2016. His group seeks to design and manipulate molecular/materials chemistry and structure for new property discovery\, new functionality and technology development by combining theory\, high performance computing and experimental methods. Their theoretical methods frequently involve quantum chemistry\, statistical mechanics\, polymer physics\, materials and biomolecular engineering. Their experimental methods frequently involve chemical synthesis\, processing and characterizations: such as: microlithography\, electrospinning\, atomic force microscopy\, spectroscopy\, rheology and electroanalysis. They develop and implement powerful\, multi-disciplinary tools to solve relevant problems with industry and national laboratories. He has also received awards such as the American Institute of Chemical Engineers Industrial Research & Development Institute Award\, DuPont Central Research Accomplishment Award\, DuPont TechCon Award\, and DuPont Materials Science and Engineering Accomplishment Award. \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/che-seminar-series-presents-steve-lustig/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201022T090000
DTEND;TZID=America/Los_Angeles:20201022T120000
DTSTAMP:20260521T121023
CREATED:20201006T144119Z
LAST-MODIFIED:20201006T144119Z
UID:22579-1603357200-1603368000@coe.northeastern.edu
SUMMARY:UCSC Graduate & Professional School Fair: Multiple Program Schools 2020
DESCRIPTION:Join the Graduate School of Engineering and Northeastern West Coast Admissions teams at UC Santa Cruz. They will be available to answer your admissions and program questions. This event will take place on October 22\, 2020 from 9:00am-12:00pm PT virtually.
URL:https://coe.northeastern.edu/event/ucsc-graduate-professional-school-fair-multiple-program-schools-2020/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201022T100000
DTEND;TZID=America/New_York:20201022T170000
DTSTAMP:20260521T121023
CREATED:20200923T202016Z
LAST-MODIFIED:20200923T202016Z
UID:22394-1603360800-1603386000@coe.northeastern.edu
SUMMARY:Tau Beta Pi 2020 Virtual Recruiting Fair
DESCRIPTION:Representatives from the Graduate School of Engineering will be in attendance at Tau Beta Pi’s virtual convention. The admissions team will be available on October 22 from 10:00-5:00pm and will be able to answer all of your questions the graduate school experience.  More information: https://tbp.org/conv/careerFair.cfm
URL:https://coe.northeastern.edu/event/tau-beta-pi-2020-virtual-recruiting-fair/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201022T183000
DTEND;TZID=America/New_York:20201022T210000
DTSTAMP:20260521T121023
CREATED:20200923T151622Z
LAST-MODIFIED:20200923T151622Z
UID:22385-1603391400-1603400400@coe.northeastern.edu
SUMMARY:East Coast Masters Alumni Panel on Diversity\, Equity\, and Inclusion
DESCRIPTION:On October 22nd\, from 6:30-9pm EST\, Graduate Student Services is hosting a virtual Alumni Panel on Diversity\, Equity\, and Inclusion in the Engineering Field for East Coast Master’s students this time around.  Panelists are all graduates of COE and have a diverse range of experiences in Engineering.  From 6:30-7:30pm\, the panelists will discuss with one another their experiences regarding these topics\, and from 7:30-8pm\, students can ask the panelists any questions they have.  Finally\, from 8-9pm\, an optional networking event with the panelists is available for students.  The link to register/RSVP will be sent out shortly.
URL:https://coe.northeastern.edu/event/east-coast-masters-alumni-panel-on-diversity-equity-and-inclusion/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201023T120000
DTEND;TZID=America/New_York:20201023T130000
DTSTAMP:20260521T121023
CREATED:20200916T194055Z
LAST-MODIFIED:20200916T194055Z
UID:22275-1603454400-1603458000@coe.northeastern.edu
SUMMARY:Bioengineering Works in Progress Student Seminar Series
DESCRIPTION:This virtual seminar series is an opportunity for Bioengineering graduate students to present their research. The first presenter is Kirstie Belanger from the Koppes lab. Title: “Investigating Specific Autonomic Cardiac Innervation in Micro-Physiological Systems”. Jason Derks from the Slavov lab. Title: “Nuclear Relocalization of Proteins in Single Macrophages upon Immunological Challenge”. Please email Danielle at d.freshnock@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/bioengineering-works-in-progress-student-seminar-series-7/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201023T140000
DTEND;TZID=America/New_York:20201023T150000
DTSTAMP:20260521T121023
CREATED:20201013T180557Z
LAST-MODIFIED:20201013T180557Z
UID:22775-1603461600-1603465200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Yulun Zhang
DESCRIPTION:PhD Proposal Review: Deep Convolutional Neural Network for Image Restoration and Synthesis \nYulun Zhang \nLocation: Zoom Link \nAbstract: In this presentation\, I will introduce how to design powerful deep convolutional neural networks (CNNs) for efficient image restoration and synthesis tasks. Recently\, deep convolutional neural network (CNN) has achieved great success for image restoration (IR) and provided hierarchical features at the same time. However\, most deep CNN based IR models neglect to make full use of the hierarchical features from the original low-quality images\, thereby resulting in relatively-low performance. We propose a novel and efficient residual dense network (RDN) to address this problem in IR. Then\, we can make a better tradeoff between efficiency and effectiveness in exploiting the hierarchical features from all the convolutional layers. \nWe also observe that deeper networks for image SR are more difficult to train. The low-resolution inputs and features contain abundant low-frequency information\, which is often treated equally across channels. Such an equal treatment for channels hence hinders the representational ability of CNNs. Residual in residual structure was proposed to firstly train very deep networks (over 400 layers) for image super-resolution. Attention mechanism (e.g.\, channel attention) is further explored in image restoration. \nPlus\, we investigate the feature representation in deep CNN for image synthesis\, like image style transfer. Most existing methods treat the semantic patterns of style image uniformly. This treatment is not suitable for the real-world case and results unpleasing results on complex styles. In this presentation\, we introduce a more flexible and general universal style transfer technique: multimodal style transfer (MST). We find the multimodal style representation and formulate style matching problem as an energy minimization one. Consequently\, MST explicitly considers the matching of semantic patterns in content and style images. We also generalize MST to improve some existing methods.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-yulun-zhang/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201024T120000
DTEND;TZID=America/New_York:20201024T170000
DTSTAMP:20260521T121023
CREATED:20201022T210517Z
LAST-MODIFIED:20201022T210517Z
UID:22872-1603540800-1603558800@coe.northeastern.edu
SUMMARY:TEDxNortheasternU 2020: Fast Forward\, A Different Future
DESCRIPTION:On Saturday\, October 24th from 12:00 PM – 5:00 PM ET\, TEDxNortheasternU will be holding their flagship event – Fast Forward: A Different Future. \nThis event invites participants to envision the future and to inspire innovation while instilling the significance of reflection and evaluation throughout your journey. \nFast Forward: A Different Future aspires to curate an interdisciplinary experience that encourages you to step out of your comfort zone while interacting with the Northeastern community. \nThis virtual conference is supported by Northeastern’s College of Engineering as well as other organizations at NU. \nUse this link to access the event and to receive more information! \nEvent page: https://hopin.to/events/tedxnortheasternu2020 \nThe speakers who are associated with COE are: \n\nShadi Emam (will be talking around 2:05)\nRiddhi Samtani – Research Fellow for COE (will be talking around 4:00)\nVidhan Bhaiya (will be talking around 12:20)
URL:https://coe.northeastern.edu/event/tedxnortheasternu-2020-fast-forward-a-different-future/
END:VEVENT
END:VCALENDAR