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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201020T183000
DTEND;TZID=America/Los_Angeles:20201020T210000
DTSTAMP:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201027T150000
DTEND;TZID=America/New_York:20201027T160000
DTSTAMP:20260510T041941
CREATED:20201021T142911Z
LAST-MODIFIED:20201021T142911Z
UID:22830-1603810800-1603814400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Kunpeng Li
DESCRIPTION:PhD Proposal Review: Attention Mechanism in Deep Learning for Visual Recognition  \nKunpeng Li \nLocation: Zoom Link \nAbstract: Deep learning models have achieved great success in various tasks for visual recognition such as image classification\, semantic segmentation\, visual semantic matching etc. Instead of just treating them as black boxes\, recently\, a tremendous of efforts have been put into the explanations of how these models work and bridging the gap between deep neural networks and human cognition systems. Visual attention is one of the efficient ways to explain the network’s decision by highlighting the regions of images that are responsible for it. It is inspired by the attention mechanism of the human vision system to selectively focus on the salient features in a visual scene. \nThis thesis is on the visual attention in deep learning for visual recognition. For the first time\, we make gradient-based attention maps a natural and explicit component in the training pipeline\, such that they are end-to-end trainable. Then\, we can provide guidance on the attention maps and guide the network to focus on correct things when learning concepts. Under mild assumptions\, our method can be understood as a plug-in to existing convolutional neural networks to improve their generalization performance. Besides\, the improved attention maps also help to provide better localization cues for weakly-supervised semantic segmentation task. \nMoving a step toward higher-level visual understanding with natural language\, we study the effectives of building visual reasoning models on top of the bottom-up attention regions\, so that the learnt visual representations can better capture semantic concepts as in its corresponding text caption. Specifically\, we first build up connections between attention regions and perform reasoning with Graph Convolutional Networks to generate region features with semantic relationships. Then\, we propose to use the gate and memory mechanism to perform global semantic reasoning on these relationship-enhanced region features\, select the discriminative information and gradually generate the representation for the whole scene. Evaluations have been conducted on MS-COCO and Flickr30K datasets for the image-text matching task.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-kunpeng-li/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201028T120000
DTEND;TZID=America/New_York:20201028T123000
DTSTAMP:20260510T041941
CREATED:20201026T135220Z
LAST-MODIFIED:20201026T135339Z
UID:22889-1603886400-1603888200@coe.northeastern.edu
SUMMARY:Engineering targeted therapeutics for breast cancer
DESCRIPTION:ChE Seminar Series Presents:   \nDebra Auguste\, Ph.D.\nProfessor\, Department of Chemical Engineering\nNortheastern University\, Boston\, MA \n“Engineering targeted therapeutics for breast cancer” \nAbstract: Cells sense changes in their environment and respond by altering their gene expression.  My lab investigates how cells manipulate membrane proteins\, which has profound effects on disease progression. Cells orchestrate the density of proteins and lipids to govern adhesion and migration. From this knowledge\, one can engineer drug delivery vehicles that complement the molecular patterns observed on cells to achieve strong\, cooperative binding. I have employed these strategies in a model system of endothelial inflammation and in breast cancer metastasis. My lab has identified a new target and biomarker for triple negative breast cancer\, examined the role of ligand/receptor cell adhesion by atomic force microscopy\, and synthesized targeted drug delivery vehicles that demonstrate that nanoparticle ligand surface density alters gene expression. \nBiography: Debra Auguste\, PhD is a Professor of Chemical Engineering at Northeastern University. She received her S.B. in Chemical Engineering from MIT in 1999 and her Ph.D. in Chemical Engineering from Princeton University in 2005. She was trained as a Post-Doctoral Associate at MIT under Institute Professor Robert Langer.  Her interests include drug and gene delivery\, targeted drug delivery\, stimuli sensitive materials. Dr. Auguste is the principal investigator on grants from the National Institute of Health (NIH)\, Office of Naval Research (ONR)\, Defense Advanced Research Projects Agency (DARPA)\, National Science Foundation (NSF)\, and the Juvenile Diabetes Research Foundation (JDRF). She is a recipient of various awards including: the Presidential Early Career in Science and Engineering- 2013\, the NIH Innovator-2012\, NSF CAREER Award-2011\, and the DARPA Young Faculty Award-2009. Dr. Auguste was elected as a Fellow of the Biomedical Engineering Society (2018) and the American Institute of Medical and Biological Engineering (2020). Dr. Auguste sits on the Scientific Advisory Board of PATHS UP at Texas A&M University and Shriners Hospital for Children in Boston. Dr. Auguste is on the Board of Directors for BMES. Dr. Auguste is co-chair of the BMES national meeting (2020). \nPlease email Alyssa Ramsey at a.ramsey@northeastern.edu for the link to the seminar.
URL:https://coe.northeastern.edu/event/engineering-targeted-therapeutics-for-breast-cancer/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201028T120000
DTEND;TZID=America/New_York:20201028T130000
DTSTAMP:20260510T041941
CREATED:20201014T185847Z
LAST-MODIFIED:20201014T185847Z
UID:22793-1603886400-1603890000@coe.northeastern.edu
SUMMARY:BioE Seminar Series Presents: Blanka Sharma
DESCRIPTION:Blanka Sharma\, Ph.D. \nAssociate Professor\, Department of Biomedical Engineering\, University of Florida\, Gainesville\, FL  \n“Engineering Biomaterials to Study and Modulate Inflammatory Mechanisms During Tissue Injury and Tumor Progression” \nABSTRACT:   \nExciting advances have been made in the discovery of therapeutic molecules and cells to more effectively treat numerous devastating medical conditions. However\, their successful application in patients is curtailed by significant challenges in effectively delivering these therapeutics where an injury or disease is localized. Dr. Sharma’s research program aims to address these challenges by engineering biomaterials capable of presenting biological signals in a site specific manner within the body. The first part of this talk will focus on drug delivery challenges for the treatment of osteoarthritis. Dr. Sharma will describe her group’s work to overcome barriers to effective drug delivery within joint\, by exploiting specific nanoparticle-extracellular matrix interactions to improve tissue targeting and retention of therapeutic molecules within OA joints. Dr. Sharma will highlight a nanoparticle system that was engineered to target oxidative stress pathways in damaged articular cartilage via scavenging of reactive oxygen species\, resulting in the protection of cartilage viability and tissue structure. The second part of this talk will focus on cell delivery challenges in cancer immunotherapies\, whereby solid tumors create a local immunosuppressive microenvironment that diminish immune cell surveillance and facilitate tumor progression. Dr. Sharma’s laboratory is applying biomaterials to understand how the tumor microenvironment impacts the homing and activation of natural killer (NK) cells\, and developing RNA delivery strategies to harness their cancer killing functions. Mitigating dysfunctional inflammatory mechanisms is key to both tissue remodeling and cancer progression\, and Dr. Sharma’s group works at the intersection of these fields. \nBIOGRAPHY: \nDr. Sharma is an Associate Professor of Biomedical Engineering at the University of Florida. Her research investigates fundamental biomaterial-cell interactions to develop targeted drug and cell delivery systems for applications ranging from tissue repair to cancer therapy. Dr. Blanka Sharma received her undergraduate degree in Chemical Engineering from the University of Waterloo (Waterloo\, Ontario\, Canada)\, her Ph.D. from Johns Hopkins University (Baltimore\, MD) in the Department of Biomedical Engineering\, and her postdoctoral training at the Cleveland Clinic (Cleveland\, OH). Dr. Sharma served as Director of Research for Cartilix Inc. from 2005-2009\, a start-up company based on her doctoral research\, where she worked towards clinical translation of a hydrogel technology for cartilage repair in the knee. After starting her faculty position in 2014 at the University of Florida\, Dr. Sharma was featured by the American Society for Engineering Education as one of “20 Under 40” Outstanding Junior Faculty in the U.S.  More recently\, Dr. Sharma received the National Science Foundation Faculty Early Career Development Program (CAREER) award (2019). In recognition of her teaching\, mentorship\, and research\, Dr. Sharma received the Pramod P. Khargonekar Junior Faculty Award for Excellence in 2020 from the UF College of Engineering. \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-blanka-sharma/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201028T123000
DTEND;TZID=America/New_York:20201028T130000
DTSTAMP:20260510T041941
CREATED:20201026T135612Z
LAST-MODIFIED:20201026T135612Z
UID:22891-1603888200-1603890000@coe.northeastern.edu
SUMMARY:ChE Seminar Series Presents: Sara Hashmi
DESCRIPTION:ChE Seminar Series Presents:\n \nSara Hashmi\, Ph.D.\nAssistant Professor\, Department of Chemical Engineering\nNortheastern University\, Boston\, MA \nAbstract/Bio: Information not available at this time \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-sara-hashmi/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201029T180000
DTEND;TZID=America/New_York:20201029T193000
DTSTAMP:20260510T041941
CREATED:20201021T143209Z
LAST-MODIFIED:20201021T143209Z
UID:22824-1603994400-1603999800@coe.northeastern.edu
SUMMARY:Transforming an Engineering Idea into a Business: Idea\, Learn\, Execute\, Risk\, Persist 
DESCRIPTION:Join the Galante Program and MassChallenge Winners\, Reza Amin and Leila Daneshmandi\, on October 29th from 6:00 PM – 7:30 PM to learn about their entrepreneurial journey starting with an idea that then transformed into startups. \nReza Amin is the CEO and founder at Bastion and co-founder at Encapsulate. Since 2013 he was working on the design and development of Lab-on-a-chip platforms for medical diagnostics. During his entrepreneurial journey\, he has won several competitions and fellowships. \nLeila Daneshmandi is a Ph.D. candidate in Biomedical Engineering at the University of Connecticut and the co-founder and COO of Encapsulate. She is currently a General Electric Fellow for Innovation at UConn’s School of Engineering and was recently selected as a 2020 Women of Innovation Finalist by the Connecticut Technology Council and Connecticut Center for Advanced Technology. More recently and under her leadership\, Encapsulate was awarded the prestigious “Technology in Space Prize\,” valued at $653k\, from The International Space Station (ISS) U.S. National Laboratory in partnership with Boeing. Through this award\, Encapsulate will have the opportunity to deploy their technology onto the International Space Station. \nAttend this virtual event to learn more about their inspiring story! Please RSVP.
URL:https://coe.northeastern.edu/event/transforming-an-engineering-idea-into-a-business-idea-learn-execute-risk-persist/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201029T180000
DTEND;TZID=America/New_York:20201029T200000
DTSTAMP:20260510T041941
CREATED:20201027T183201Z
LAST-MODIFIED:20201027T183201Z
UID:22881-1603994400-1604001600@coe.northeastern.edu
SUMMARY:Pumpkins with Graduate Women in Science and Engineering (GWiSE)
DESCRIPTION:Keep calm\, carve a pumpkin\, carry on! \nThursday 10/29 at 6:00 PM on MS Teams\, join the GWiSE community on Teams for some virtual fall festivities! Costumes and custom backgrounds encouraged! \nWe will be carving\, painting\, and/or coloring pumpkins! Everything is BYO! If you want to color a pumpkin we will have pdfs that you can print or color in MS paint. \nIf you’d like to paint a pumpkin\, be sure to have the following items prepared for painting: A small hard pumpkin that fits in your hand\, some newspaper\, Marker\, Paint\, brushes\, paper towels\, and a cup of water. \nIf you’d like to carve a pumpkin\, be sure to have the following items prepared: A towel\, marker\, spoon\, sharp knives (1 short\, 1 long)\, a bowl big enough to fit pumpkin in\, and a Pumpkin! It should be 7+ lbs. Your hands should not be able to wrap around more than ½ of the pumpkin. \nThe picture below is the MINIMUM size.
URL:https://coe.northeastern.edu/event/pumpkins-with-graduate-women-in-science-and-engineering-gwise/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201029T200000
DTEND;TZID=America/New_York:20201029T220000
DTSTAMP:20260510T041941
CREATED:20201025T191124Z
LAST-MODIFIED:20201025T191124Z
UID:22884-1604001600-1604008800@coe.northeastern.edu
SUMMARY:Halloween Themed Presentations with CEE GSC
DESCRIPTION:You’re invited to the Civil and Environmental Department Graduate Student Halloween Social\nThursday 10/29 @ 8 PM on Zoom\nCostumes and custom zoom backgrounds are encouraged!! To accommodate for the virtual environment\, we are going to do Presentation Karaoke with a winner’s prize. \nPresentation Karaoke is where volunteers improvise some funny stories over a presentation as if they’d designed it. The theme for Presentation Karaoke will be ‘Halloween.’ \nFeel free to simply attend and listen to the fun presentations and stories if you don’t want to actively participate.
URL:https://coe.northeastern.edu/event/halloween-themed-presentations-with-cee-gsc/
ORGANIZER;CN="Civil & Environmental Engineering":MAILTO:civilinfo@coe.neu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201030T110000
DTEND;TZID=America/New_York:20201030T120000
DTSTAMP:20260510T041941
CREATED:20201023T221519Z
LAST-MODIFIED:20201023T221519Z
UID:22877-1604055600-1604059200@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Ran Liu
DESCRIPTION:PhD Dissertation Defense: Optimal Proactive Services with Uncertain Predictions \nRan Liu \nLocation: Zoom Link \nAbstract: With the evolution of technologies such as machine learning and data science\, proactive services with the aid of predictive information have been recognized as a promising method to exploit network bandwidth\, storage\, and computation resources to achieve improved user experiences\, especially delay performance.\nSpecifically\, services can be processed proactively when the system is lightly loaded\, with the results stored to meet user demand in the future.\nOur primary goal in the thesis is to investigate the fundamental performance improvement that can be achieved from proactive services under uncertain predictions. We aim to analyze the queueing behavior of proactive systems under certain proactive strategies and characterize the improvement in terms of the limiting fraction of proactive work and the limiting average delay. \nIn the first work\, we analytically investigate the problem of how to efficiently utilize uncertain predictive information to design proactive caching strategies with provably good access-delay characteristics.\nFirst\, we derive an upper bound for the average amount of proactive service per request that the system can support.\nThen we analyze the behavior of a family of threshold-based proactive strategies with a Markov chain\, which shows that the average amount of proactive service per request can be maximized by properly selecting the threshold.\nFinally\, we propose the UNIFORM strategy\, which is the threshold-based strategy with the optimal threshold\, and show that it outperforms the commonly used Earliest-Deadline-First (EDF) type proactive strategies in terms of delay.\nWe perform extensive numerical experiments to demonstrate the influence of thresholds on delay performance under the threshold-based strategies\, and specifically\, compare the EDF strategy and the UNIFORM strategy to verify our results. \nIn the second work\, we study a more generalized proactive service problem with a more generalized service model and derive explicit solutions on the limiting average fraction of proactive work and the limiting average delay in closed-form expressions.\nIn this work\, we analytically investigate how to optimally take advantage of under-utilized network resources for proactive services with the aid of uncertain predictive information.\nSpecifically\, we first derive an upper bound on the fraction of services that can be completed proactively by a single-server system.\nThen we analyze a family of fixed-probability (FIXP) proactive strategies in two proactive systems\, namely the Genie-Aided system and the Realistic Proactive system.\nWe analyze the asymptotic behaviors of the FIXP strategies by modeling a Markov process and the corresponding embedded Markov Chain.\nWe obtain optimal FIXP strategies in both systems and prove that the optimal FIXP strategies maximize the limiting fraction of proactive service among all proactive strategies and minimize average delay among FIXP strategies.\nWe perform extensive numerical experiments to demonstrate the influence of the parameter of FIXP on the performance of the limiting fraction of proactive service and the limiting average delay in both proactive systems and verify our theoretical results in multiple scenarios.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-ran-liu-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201030T120000
DTEND;TZID=America/New_York:20201030T124500
DTSTAMP:20260510T041941
CREATED:20200828T215120Z
LAST-MODIFIED:20200828T215120Z
UID:22064-1604059200-1604061900@coe.northeastern.edu
SUMMARY:10 Advanced EndNote Features
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 advanced features in EndNote can help you manage citations for yourself or your research group. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/10-advanced-endnote-features/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201030T120000
DTEND;TZID=America/New_York:20201030T130000
DTSTAMP:20260510T041941
CREATED:20200916T194143Z
LAST-MODIFIED:20201021T191428Z
UID:22277-1604059200-1604062800@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 Ronak Ansaripour from the Carrier lab\, title: “Controlling extracellular matrix environment in guiding 3D Retinal Organoid formation”. The second presenter is Alexander Grath from the Dai lab\, title: “Directly Reprogramming Fibroblasts into Functional Endothelial Cells”. \nPlease 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-8/
ORGANIZER;CN="Bioengineering":MAILTO:bioe@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201102T090000
DTEND;TZID=America/New_York:20201102T100000
DTSTAMP:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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:20260510T041941
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/
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