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DTSTART;TZID=America/New_York:20220214T100000
DTEND;TZID=America/New_York:20220214T110000
DTSTAMP:20260520T074903
CREATED:20220209T203147Z
LAST-MODIFIED:20220209T203147Z
UID:30226-1644832800-1644836400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Mengshu Sun
DESCRIPTION:PhD Proposal Review: Deep Learning Acceleration on Edge Devices with Algorithm/System Co-Design \nMengshu Sun \nLocation: Zoom Link \nAbstract: As deep learning has succeeded in a broad range of applications in recent years\, there is an increasing trend towards deploying deep neural networks (DNNs) on edge devices such as FPGAs and mobiles. However\, there exists a significant gap between the extraordinary accuracy of state-of-the-art DNNs and the efficient implementations on edge devices\, due to their limited resources to DNNs with high computation and memory intensity. With the target of simultaneously accelerating the inference and maintaining the accuracy of DNNs\, I investigate efficient implementation of deep learning on low-power and resource-constrained devices in this dissertation\, leveraging algorithm/system co-design techniques that incorporate hardware-friendly DNN compression algorithms with system design optimizations. \nIn the first part of this dissertation\, I explore the DNN compression algorithms leveraging weight pruning and quantization techniques. As for weight pruning\, novel structured and fined-grained sparsity schemes are proposed and obtained with the reweighted regularization pruning algorithm\, and then incorporated into acceleration frameworks on both FPGAs and mobiles to make the acceleration rate of sparse models approach the pruning rate of GFLOPs for the unpruned models. As for quantization\, intra-layer mixed precision/scheme weight quantization is proposed to boost utilization of heterogeneous FPGA resources and therefore improving the FPGA throughput\, by assigning multiple precisions and/or multiple schemes at the filter level within each layer and maintaining the same ratio of filters with different quantization assignments across all the layers. \nIn the second part of this dissertation\, I study the system implementations\, proposing an automatic DNN acceleration framework to generate DNN accelerators to satisfy a target frame rate (FPS). Unlike previous approaches that start from model quantization and then optimizing the FPS for hardware implementations\, this automatic framework will provide an estimation of the FPS with the FPGA resource utilization analysis and performance analysis modules\, and the bit-width is reduced until the target FPS is met and the ratio is automatically determined to guide the quantization process and the accelerator implementation on hardware. A resource utilization model is developed to overcome the difficulty in estimating the LUT consumption\, and a novel computing engine for DNNs is designed with various optimization techniques in support of DNN compression to improve the computation parallelism and resource utilization efficiency.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-mengshu-sun/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220214T120000
DTEND;TZID=America/New_York:20220214T124500
DTSTAMP:20260520T074903
CREATED:20220131T210634Z
LAST-MODIFIED:20220131T210634Z
UID:30064-1644840000-1644842700@coe.northeastern.edu
SUMMARY:Library Webinar: Getting Started with Mendeley
DESCRIPTION:Are you interested in learning how to better organize your PDFs and research sources? Using Mendeley can help you become more organized and efficient throughout the research process: from when you first begin to explore your topic to when you are adding citations to your paper. \nIn this online session\, you will learn how to download Mendeley and set up an account\, organize your research sources and PDFs\, annotate PDFs\, and create in-text citations and bibliographies. (Category: Citation help) \nNOTE: EndNote\, RefWorks\, Zotero\, and Mendeley are similar\, so you only need to choose one. \nThis webinar will be recorded. To receive a copy of the recording\, please register using your Northeastern email address. All the times of the webinars are in EST. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/library-webinar-getting-started-with-mendeley/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220215T090000
DTEND;TZID=America/New_York:20220215T100000
DTSTAMP:20260520T074903
CREATED:20220214T160441Z
LAST-MODIFIED:20220214T160441Z
UID:30296-1644915600-1644919200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Abhimanyu Venkatraman Sheshashayee
DESCRIPTION:PhD Proposal Review: Wake-up Radio-enabled Wireless Networking: Measurements and Evaluation of Data Collection Techniques in Static and Mobile Scenarios \nAbhimanyu Venkatraman Sheshashayee \nLocation: 432 ISEC \nAbstract: Multi-hop Wireless Networks such as Wireless Sensor Networks and similar networks that enable most applications of the Internet of Things\, are comprised of wirelessly communicating nodes that are powered by batteries. In many relevant scenarios\, it is inconvenient or impossible to replenish or replace the batteries of these nodes\, which limits the operational lifespan of the network. One of the most significant sources of power consumption comes from idle listening on the node’s main radio. This can be ameliorated by Wake-up Radio (WuR) technology: Nodes keep their main radio off while listening for a signal via an ultra-low-power auxiliary radio used only for wake-up purposes. When the appropriate signal is received\, the node turns its main radio on\, conducts the necessary exchange of packets\, and then turns off its main radio. This strategy allows for a considerable reduction in power consumption.\nThis dissertation studies data collection approaches that leverage WuR technology to maximize the lifespan of multi-hop networks for data gathering via routing and via a Mobile Data Collector (MDC). We analyze contemporary WuR technology\, isolating the main criticalities of the state-of-the-art\, including range and data rates. We use a prototype with highly desirable characteristics to conduct experiments to measure its effective communication range\, in both static and mobile scenarios. We then examine the application of WuR technology to data collection scenarios based on multi-hop routing. We devise new techniques and evaluate the effects of different WuR characteristics on the performance of routing\, considering for the first time what the network performance could be if we could overcome the limitation of current WuRs.\nThe remainder of the dissertation will focus on mobile data collection protocols and approaches. We are conducting a comprehensive survey of mobile data collection protocols. We plan to execute exhaustive simulation-based experiments with selected protocols applied to various scenarios. We will evaluate the performance of those protocols and determine how their features influence their performance. We will use the information gleaned from our investigations to develop a novel mobile data collection protocol that effectively utilizes WuR technology to maximize network lifespan. The effectiveness of our protocol will be evaluated using both simulations and physical experiments\, sporting an ad hoc testbed of WuR-enabled nodes and a quad-rotor drone for the MDC.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-abhimanyu-venkatraman-sheshashayee/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220215T120000
DTEND;TZID=America/New_York:20220215T124500
DTSTAMP:20260520T074903
CREATED:20220131T210701Z
LAST-MODIFIED:20220131T210701Z
UID:30067-1644926400-1644929100@coe.northeastern.edu
SUMMARY:Library Webinar: Getting Started with EndNote
DESCRIPTION:Learn how to use Endnote to increase your efficiency. Endnote will help with organizing your references and generating reference lists and in-text citations in your chosen style. This online session will cover: \n\nhow to export references from a database to Endnote\nhow to organize your research information using groups\nhow to create an online account\nwhere to download Endnote software\nhow to use Endnote with Microsoft Word (Cite While You Write)\n\nNOTE: EndNote\, RefWorks\, Zotero\, and Mendeley are similar\, so you only need to choose one. \nThis webinar will be recorded. To receive a copy of the recording\, please register using your Northeastern email address. All the times of the webinars are in EST. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/library-webinar-getting-started-with-endnote/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220215T140000
DTEND;TZID=America/New_York:20220215T150000
DTSTAMP:20260520T074903
CREATED:20220209T163529Z
LAST-MODIFIED:20220209T163529Z
UID:30224-1644933600-1644937200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Stella Banou
DESCRIPTION:PhD Proposal Review: Coupling Methods for Wireless Intra-body Communication and Sensing \nStella Banou \nLocation: 432 ISEC \nAbstract: Advances in miniaturized bio-compatible Internet of Things (IoT) device design and wireless connectivity have resulted in rapid strides towards realizing the vision of connected health and ubiquitous monitoring of physiological conditions. Core enablers of this capability are wearable and implanted IoT devices\, albeit with limitations arising from their low energy storage and computational power. This thesis goes beyond the RF-only communication standards by exploring alternate communication modalities that are more amenable for inter- and intra-body communication. In summary\, this thesis explores the conductive and radiating nature of the human body as a channel for three non-RF coupling communication methods – Galvanic\, Magnetic and Capacitive coupling.\nIn part I\, an implementation of Galvanic Coupling-based beamforming is presented for implant to wearable communication. The key idea here is to exploit the conductivity of human tissue and transmit weak electrical signals by coupling them via electrodes to muscle tissue in a way that concentrates energy at the receiver location. In part II\, we focus on realizing a relay network of IoT devices for both implant-implant and implant to on-skin sensor communication using Magnetic Resonance Coupling. The advantage of this method over Galvanic Coupling is that the former reduces attenuation when signals pass through human tissue. In part III\, we enhance the scope of the connected health paradigm to now include sensing for proximity and for automated encouraging of healthy habits that mitigate the spread of communicable diseases using Capacitive Coupling.\nAs part of proposed work\, we will design a novel human antenna field to sense and communicate with other IoT devices in the near field – within 2.5 meters\, also using Capacitive Coupling. This will complete the full cycle of data flow\, from implanted to wearable devices and finally connect the body network to the computational cloud for the next generation of IoT-enabled healthcare.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-stella-banou/
LOCATION:432 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220216T090000
DTEND;TZID=America/New_York:20220216T100000
DTSTAMP:20260520T074903
CREATED:20220209T203003Z
LAST-MODIFIED:20220209T203003Z
UID:30232-1645002000-1645005600@coe.northeastern.edu
SUMMARY:Accelerating the Transition to Carbon Neutrality
DESCRIPTION:ChE Seminar Series Presents: \nMadga Barecka\, Ph.D. \nPost-Doc at University of Cambridge\, Research Centre in Singapore \nAbstract \nTransition to Net Zero 2050 requires immediate and drastic changes in the current manufacturing methods. This transformation is difficult to realize without disrupting the existing industries and putting at risk the delivery of the products that our society relies on. To address this challenge\, I proposed an alternative approach: use of novel\, carbon-neutral technologies such as CO2 electrolysis as a retrofit\, which operates in parallel to an existing chemical plant\, can be installed with a minimum disruption to the ongoing manufacturing activities and leads to a meaningful reduction of the carbon footprint. This technology\, Carbon Capture On-site Recycling\, will be illustrated with examples of several chemical manufacturing processes\, where\, if fully deployed\, it could allow to save annually up to 10 Gt of CO2 emissions by 2050. \nThis work is a part of my broader vision on disrupting the global carbon cycle through both discovery and scaling of circular production methods for chemical\, pharmaceutical and environmental sectors. How to encourage the industry to change and adopt innovative technologies? How to functionally reproduce photosynthesis to deliver carbon neutral chemicals? How to improve the access to medicines for those most exposed to distribution injustice? In my talk\, I will discuss my current and future research that will significantly contribute to answering these questions. \nBio \nDr. Magda H. Barecka is a Post-Doc at University of Cambridge\, Research Centre in Singapore. She is interested in accelerating the adoption of CO2 conversion\, powered by renewable energy\, and the development of economically viable and scalable carbon neutral production methods. Dr. Barecka holds a PhD degree from TU Dortmund University (Germany) and was the first PhD candidate to be awarded the title as a Double Diploma certificated together with Lodz University Technology (Poland). She is a chemical engineer with expertise in process intensification\, retrofitting and design\, developed in academia and private sector. As a part of her PhD thesis\, she developed a methodology supporting implementation of intensified technologies in the chemical manufacturing\, which was transferred to Industry (Processium company\, France/Brazil). After the completion of her PhD\, she joined pharmaceutical/fine chemicals sector in Switzerland and worked on the design of manufacturing lines\, as well as established collaborations with Academia towards the development of algorithms accelerating process development. After this\, she came back to the research sector to deploy her process design experience in the field of carbon capture and utilization. Dr. Barecka is currently working in the intersection of CO2 electrolysis process design\, reaction optimization\, integration with renewable energy sources\, and techno-economic analysis for CO2-based manufacturing methods that can disrupt the carbon cycle. \nPlease contact a.ramsey@northeastern.edu for the remote seminar link.
URL:https://coe.northeastern.edu/event/accelerating-the-transition-to-carbon-neutrality/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220216T133000
DTEND;TZID=America/New_York:20220216T143000
DTSTAMP:20260520T074903
CREATED:20220214T160524Z
LAST-MODIFIED:20220214T160524Z
UID:30299-1645018200-1645021800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Yuanyuan Li
DESCRIPTION:PhD Proposal Review: Submodularity in Cache Networks \nYuanyuan Li \nLocation: Zoom Link \nAbstract: As information-based demand surges\, distributed network services\, e.g.\, cache networks\, play an important role to mitigate network traffic. Cache networks are a natural abstraction for many applications\, including information-centric networks\, content delivery networks\, cloud computing\, and edge/wireless IoT. How to allocate resources (routing\, placing items in caches\, flow control\, etc.) in cache networks is a crucial problem\, as resources (storage space\, and bandwidths) are usually limited. Resource allocation in networks has been traditionally approached through classic convex optimization. However\, simple problems becomes combinotorial in cache networks\, which leads to NP-hardness. Enlightened by several works studying cache networks\, we identify a useful property\, submodularity\, which is the key to approximation algorithms solving those NP hard resource allocation problem in cache networks.\nLeveraging submodularity\, we study a cache network\, in which intermediate nodes equipped with caches can serve content requests\, from different angles.\nFirst\, we model this network as a universally stable queuing system\, in which packets carrying identical responses are consolidated before being forwarded downstream. We refer to resulting queues as M/M/1c or counting queues\, as consolidated packets carry a counter indicating the packet’s multiplicity. Cache networks comprising such queues are hard to analyze; we propose two approximations: one via M/M/∞ queues\, and one based on M/M/1c queues under the assumption of Poisson arrivals. We show that\, in both cases\, the problem of jointly determining (a) content placements and (b) service rates admits a poly-time\, 1-1/e approximation algorithm. We also show that our analysis\, with respect to both algorithms and associated guarantees\, extends to (a) counting queues over items\, rather than responses\, as well as to (b) queuing at nodes and edges\, as opposed to just edges.\nSecond\, we refer to the cost reduction enabled by caching as the caching gain\, and the product of the caching gain of a content request and its request rate as caching gain rate. We aim to study \emph{fair} content allocation strategies through a utility-driven framework\, where each request achieves a utility of its caching gain rate\, and consider a family of α-fair utility functions to capture different degrees of fairness. The resulting problem is an NP-hard problem with a non-decreasing submodular objective function. Submodularity allows us to devise a deterministic allocation strategy with an optimality guarantee factor arbitrarily close to 1-1/e. When 0 < α ≤ 1\, we further propose a randomized strategy that attains an improved optimality guarantee\, (1-1/e)^(1-α)\, in expectation.\nThird\, We study a cache network under arbitrary adversarial request arrivals. We propose a distributed online policy based on the online tabular greedy algorithm. Our distributed policy achieves sublinear (1-1/e)-regret\, also in the case when update costs cannot be neglected.\nFinally\, we propose an experimental design network paradigm\, wherein learner nodes train possibly different Bayesian linear regression models via consuming data streams generated by data source nodes over a network. We formulate this problem as a social welfare optimization problem in which the global objective is defined as the sum of experimental design objectives of individual learners\, and the decision variables are the data transmission strategies subject to network constraints. We first show that\, assuming Poisson data streams\, the global objective is a continuous DR-submodular function. We then propose a Frank-Wolfe type algorithm that outputs a solution within a 1-1/e factor from the optimal. Our algorithm contains a novel gradient estimation component which is carefully designed based on Poisson tail bounds and sampling.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-yuanyuan-li/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220217T160000
DTEND;TZID=America/New_York:20220217T173000
DTSTAMP:20260520T074903
CREATED:20220128T213204Z
LAST-MODIFIED:20220128T213204Z
UID:30024-1645113600-1645119000@coe.northeastern.edu
SUMMARY:Global Co-op Student Panel and Networking Night
DESCRIPTION:Are you interested in hearing about global co-ops from your peers\, and connecting with other students searching for co-ops abroad? \nCome join us for an in-person Student Panel and Networking Night on February 17th\, featuring global co-op alumni in a panel-style discussion. Following the panel\, we will have a networking portion\, in which you can speak with panelists\, other students\, and global co-op faculty and staff from across the colleges. Whether you are considering a global co-op\, have secured a global co-op\, are just have an interest in hearing about work experiences across the globe\, we encourage you to attend! Any and all majors are w​elcome\, as we will have student speakers from COE\, DMSB\, CSSH\, and more sharing about co-op work experiences across the disciplines. \nFood and drinks will be provided during the networking portion of the event. Masks will be required throughout the event\, except while eating. \nPlease register in NUworks \nLocation: McLeod Suites of the Curry Student Center
URL:https://coe.northeastern.edu/event/global-co-op-student-panel-and-networking-night/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220217T173000
DTEND;TZID=America/New_York:20220217T183000
DTSTAMP:20260520T074903
CREATED:20220204T162750Z
LAST-MODIFIED:20220204T162750Z
UID:30138-1645119000-1645122600@coe.northeastern.edu
SUMMARY:IRobot Panel Discussion: "Permission to Fail"
DESCRIPTION:Engineers from iRobot (maker of Roomba) will discuss the honest truth of their (somewhat bumpy) path to a career \nWhen: Thursday\, February 17\, 2022 5:30-6:30\nZoom Meeting ID: 956 0020 8268 PW: 163999 \n 
URL:https://coe.northeastern.edu/event/irobot-panel-discussion-permission-to-fail/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220217T183000
DTEND;TZID=America/New_York:20220217T193000
DTSTAMP:20260520T074903
CREATED:20220209T214712Z
LAST-MODIFIED:20220209T214712Z
UID:30238-1645122600-1645126200@coe.northeastern.edu
SUMMARY:Accelerating Career Paths: Focusing on the Gaps
DESCRIPTION:Please join the Galante Engineering Business Program in welcoming Ashley Kelleher (LinkedIn) for a presentation reviewing a framework for career growth based on skills instead of roles. Ashley will discuss stepping away from career thinking in terms of the next role\, the career ladder\, or a dream job\, and instead how to best implement methods of identifying critical skills for success\, pinpointing skill gaps\, and creating paths to close those gaps by leveraging both business acumen and technical engineering skills to create unique value opportunities. We ask that those attending RSVP at the link here. \nAshley is the staff executive for the Air Power mission area within Raytheon Missiles & Defense\, reporting directly to the President of Air Power. Ashley is responsible for the effective communication\, coordination\, and collaboration of the Air Power leadership team\, which manages all Air Force business for Raytheon Missiles & Defense. \nPreviously\, Ashley was a Program Operations Manager in the Sustainment and Sensors mission area. In this role she managed over $250M of material and labor scope for the Sensors Product Line supporting the SPY-6 and AN/TPY-2 radar programs. Ashley was responsible for coordinating multiple cross business teams and 5 manufacturing execution centers to ensure successful on time integration\, manufacturing\, and alignment to contract schedules. \nOther previous roles include Deployment and Change Management Lead for the Common Manufacturing Execution System (CMES)\, Operations Manager for the Circuit Card Assembly Consolidation\, and Manufacturing Manager in the Circuit Card Assembly factory in Andover\, MA where she led a team building over 200 products across 7 programs. \nAshley has also held roles outside of Raytheon at Accenture Consulting in Boston\, Massachusetts\, where she was a management consultant leading multiple clients through large scale digital transformations. \nAshley holds a bachelor’s degree in industrial engineering\, and a master’s of business administration from Northeastern University.
URL:https://coe.northeastern.edu/event/accelerating-career-paths-focusing-on-the-gaps/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220218T150000
DTEND;TZID=America/New_York:20220218T160000
DTSTAMP:20260520T074903
CREATED:20220207T145202Z
LAST-MODIFIED:20220207T145202Z
UID:30162-1645196400-1645200000@coe.northeastern.edu
SUMMARY:Disability resource center (DRC) - our role in student success
DESCRIPTION:Join Mary Barrows\, Senior director of learning strategies and student success at NEU to know about the role of DRC in student success. An event by the ALLIED project. \nZoom link : https://northeastern.zoom.us/j/95320296228
URL:https://coe.northeastern.edu/event/disability-resource-center-drc-our-role-in-student-success/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220218T153000
DTEND;TZID=America/New_York:20220218T163000
DTSTAMP:20260520T074903
CREATED:20220210T212117Z
LAST-MODIFIED:20220210T212207Z
UID:30273-1645198200-1645201800@coe.northeastern.edu
SUMMARY:Science on Tap Presents Professor Heather Clark of Bioengineering\, Chemistry & Chemical Biology
DESCRIPTION:Hosted by the COE PhD Council – Science on Tap is back with our first speaker of 2022 being Professor Heather Clark of Bioengineering\, Chemistry & Chemical Biology (and Director of CILS). There will be pizza\, salad\, beer & cider (as well as assorted seltzers and other non-alcoholic options). Not to mention the most important part\, the science talk : LIGHTING UP THE CHEMISTRY OF THE BODY! \nLocation: Egan Raytheon Amphitheater (room 240) \nDoors open at 3PM and will close at max capacity. \nOpen to all faculty\, staff\, and PhD students! Come join us\, learn about science\, and learn what else is happening across COE ! \nFor more information\, please contact Jason Hoffman-Bice (bice.j@northeastern.edu)
URL:https://coe.northeastern.edu/event/science-on-tap-presents-professor-heather-clark-of-bioengineering-chemistry-chemical-biology/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220218T160000
DTEND;TZID=America/New_York:20220218T170000
DTSTAMP:20260520T074903
CREATED:20220216T144314Z
LAST-MODIFIED:20220216T144314Z
UID:30322-1645200000-1645203600@coe.northeastern.edu
SUMMARY:Graduate Student Ambassador Drop-In Series: Welcome to Northeastern!
DESCRIPTION:Come join us live for a virtual ‘Welcome to Northeastern!’ panel with current College of Engineering Masters students on Friday\, February 18th from 4:00 PM to 5:00 PM EST. \nThis event is designed for newly admitted students and will offer tips\, tricks and resources that we hope you will find useful as you settle into your first semester. The audience will have an opportunity to ask questions about Northeastern University throughout the session as well. See you there!
URL:https://coe.northeastern.edu/event/graduate-student-ambassador-drop-in-series-welcome-to-northeastern/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220222T120000
DTEND;TZID=America/New_York:20220222T124500
DTSTAMP:20260520T074903
CREATED:20220131T210748Z
LAST-MODIFIED:20220131T210804Z
UID:30071-1645531200-1645533900@coe.northeastern.edu
SUMMARY:Library Webinar: Getting Started with RefWorks
DESCRIPTION:Are you tired of losing track of your research sources? Need help adding citations to your research papers? Attend this webinar to learn how to get started with RefWorks\, an online citation management program that will allow you to collect and organize references and help you cite them in your papers. This session will cover: \n\nhow to create a RefWorks account\nhow to add references to your RefWorks library\nhow to organize and edit your library of references\nhow to add RefWorks citations to Word documents\n\nNOTE: EndNote\, RefWorks\, Zotero\, and Mendeley are similar\, so you only need to choose one. \nThis webinar will be recorded. To receive a copy of the recording\, please register using your Northeastern email address below. \nAll the times of the webinars are in EST. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/library-webinar-getting-started-with-refworks/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220223T120000
DTEND;TZID=America/New_York:20220223T124500
DTSTAMP:20260520T074903
CREATED:20220131T211623Z
LAST-MODIFIED:20220131T211623Z
UID:30077-1645617600-1645620300@coe.northeastern.edu
SUMMARY:Library Webinar: Getting Started with Zotero
DESCRIPTION:Learn how to use Zotero to increase your efficiency. Zotero is a free\, open-source tool that lets you quickly create bibliographies and in-text citations in your chosen reference style. This online session will cover: how to install Zotero\, how to export references from a database to Zotero\, how to create groups to organize your research information\, how to create an online account\, and how to use Zotero with Microsoft Word. \nNOTE: EndNote\, RefWorks\, Zotero\, and Mendeley are similar\, so you only need to choose one. \nThis webinar will be recorded. To receive a copy of the recording\, please register using your Northeastern email address below. \nRegister here: bit.ly/citationmgmtworkshops \nAll the times of the webinars are in EST.
URL:https://coe.northeastern.edu/event/library-webinar-getting-started-with-zotero/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220223T120000
DTEND;TZID=America/New_York:20220223T130000
DTSTAMP:20260520T074903
CREATED:20220218T181713Z
LAST-MODIFIED:20220218T181713Z
UID:30361-1645617600-1645621200@coe.northeastern.edu
SUMMARY:Accelerating Research Along the Path to Commercialization
DESCRIPTION:There are a variety of steps required to transition technologies from the research lab to the marketplace. Each step comes with its own set of questions and challenges. How do you protect your innovation and when is the right time? What is the right path to market? What are the obstacles to get there? What resources are available for researchers and entrepreneurs? \nRepresentatives from Northeastern’s Center for Research Innovation (CRI) will help to answer these questions. The CRI is focused on accelerating the advancement of Northeastern research from lab to market\, maximizing its impact\, for the benefit of society. \nTheir talk will be followed by a Q&A session\, providing ample opportunity for researchers to raise any questions and discuss issues related to intellectual property\, technology commercialization\, and entrepreneurship. \nSpeakers:  \nMark Saulich \nAs Associate Director of Commercialization\, Mark and his team are focused on the commercialization of Northeastern research. Industry engagement is at the core of their efforts\, identifying opportunities to solve real world challenges by leveraging Northeastern innovations. Prior to joining the CRI team\, Mark spent several years working at yet2\, a global open innovation consulting company\, leading technology scouting projects for several Fortune 1000 companies. \nKatie Hemphill \nAs Director of Technology Ventures and Talent Network\, Katie leads the development of a pipeline that encourages the discovery\, formation\, launch and growth of new ventures. In addition to managing the various venture programs at CRI\, she continues to cultivate a team of executive talent who mentor and support spinouts as they launch and scale. Prior to joining CRI\, Katie served as Associate Director of the McCarthy(s) Venture Mentoring Network (VMN) at Northeastern’s Center for Entrepreneurship Education at D’Amore-McKim School of Business. The VMN is a global network of volunteer mentors who give time and talent to early-stage startups based on timely business challenges.
URL:https://coe.northeastern.edu/event/accelerating-research-along-the-path-to-commercialization/
LOCATION:024 East Village\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=024 East Village 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220223T130000
DTEND;TZID=America/New_York:20220223T140000
DTSTAMP:20260520T074903
CREATED:20220223T151800Z
LAST-MODIFIED:20220223T151800Z
UID:30390-1645621200-1645624800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Md Navid Akbar
DESCRIPTION:PhD Proposal Review: Variational and Siamese Models in Functional and Structural Medical Image Analysis \nMd Navid Akbar \nLocation: Zoom Link \nAbstract: Machine learning (ML) models have recently shown great promise in medical image analysis. Instead of a one-size-fits-all\, a customized model is generally needed to map a target outcome from an imaging modality. To this end\, this proposal presents three such supervised models developed for three different imaging modalities.\nIn the first\, a deep convolutional neural network (CNN) maps 3D cortical motor representation\, obtained by transcranial magnetic stimulation (TMS)\, to the corresponding motor evoked potentials captured by surface electromyography (EMG). This modeling is bi-directional: with trivial changes\, it can operate in both the forward and inverse directions. TMS as a functional imaging technique is still in its infancy\, but its potential application in presurgical planning necessitates a reliable data-driven model. Our variational autoencoder inspired CNN is a pioneering step in that direction: with a normalized root mean square error up to below 14%\, and an R-squared similarity up to above 87%\, for cortical representation reconstruction in the inverse path. As the next steps\, we plan to investigate other training strategies and collect additional data to assess robustness.\nIn the second\, a Siamese CNN (with a pretrained DenseNet121 backbone) is developed to predict the continuous spectrum of pulmonary edema severity\, from frontal chest X-rays. While existing deep learning frameworks have been promising in detecting the presence or absence of such edema\, or even its discrete grades of severity\, prediction of the continuous-valued severity remains a challenge. Using lower resolution images and only 1/51-th the size of training data compared to the state-of-the-art\, our work beats it by achieving a mean area under the receiver operating characteristic curve (AUC) score of 91% (improvement by 4%)\, when tested on the open-source MIMIC-CXR database.\nFinally\, a complete preprocessing and ML classification pipeline is developed for identifying which traumatic brain injury (TBI) patients will go on to develop late seizures\, from diffusion-weighted MRI (dMRI). Physical deformations following moderate-severe TBI present problems for standard processing of dMRI\, complicating the extraction of neuroimaging features. Following the novel application of a normalization technique to dMRI\, in conjunction with univariate feature selection and a linear discriminant analysis classifier\, our model improves the performance over the standard pipeline by 8% in mean accuracy and 7% in mean AUC. In future work\, we would like to explore classification using a fusion of dMRI with electroencephalogram (EEG) and functional MRI (fMRI) modalities.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-md-navid-akbar/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220223T173000
DTEND;TZID=America/New_York:20220223T183000
DTSTAMP:20260520T074903
CREATED:20220223T151859Z
LAST-MODIFIED:20220223T151859Z
UID:30392-1645637400-1645641000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Miead Tehrani-Moayyed
DESCRIPTION:PhD Proposal Review: RF Channel Models for Static and Mobile Scenarios: From Simulations to Models for Large-scale Emulations \nMiead Tehrani-Moayyed \nLocation: ISEC 432 \nAbstract: The extremely high data rates provided by communications at higher frequency bands\, e.g.\, millimeter waves (mmWave)\, can help address the unprecedented demands of next-generation wireless networks. However\, as several impairments limit wireless coverage at higher frequencies\, accurate models of wireless scenarios and testing at scale are needed to show actual potential and to realize the promises that the new wireless technologies can bring forth. Large-scale accurate simulations and wireless networks emulators are now a time and cost-effective solution to perform these tests in a lab before deployment in the field. This dissertation work focuses on modeling\, calibration\, and validation of realistic RF scenarios for wireless network emulation at scale.\nThe contributions of our work include (i) investigating the characteristic of the wireless channel at higher frequencies (mmWave) and the performance evaluation of mmWave communications on top of the recently released NR standard for 5G cellular networks\, and (ii) a framework to create RF scenarios for emulators like \emph{Colosseum} starting from rich forms of input\, like those obtained by ray-tracers or via real-field measurements.\n(i) We derive channel propagation models via ray-tracing simulations for mmWave transmissions with applications to vehicle-to-everything (V2X) communications. We analyze aspects related to blockage modeling\, the effects of antenna beamwidth\, beam alignment\, and multipath fading in urban scenarios and emphasize the importance of capturing diffuse scattered rays for improved large-scale and small-scale radio channel propagation models. Furthermore\, we compare the performance of mmWave 5G NR with the 4G long-term evolution (LTE) standard on a realistic environment and show the impact of MIMO technology to improve the performance of 5G NR cellular networks. As transmitted radio signals are received as clusters of multipath rays\, identifying these clusters provides better spatial and temporal characteristics of the channel. We deal with the clustering process and its validation across a wide range of frequencies in the mmWave spectrum below 100 GHz. We analyze how the clustering solution changes with narrower-beam antennas\, and we provide a comparison of the cluster characteristics for different types of antennas.\n(ii) Our framework to model wireless scenarios for large-scale emulators optimally scales down the large set of RF data in input to the fewer parameters allowed by the emulator by using efficient clustering techniques and channel impulse response re-sampling. We demonstrate the effectiveness of the proposed framework through modeling realistic scenarios for Colosseum starting from the rich input from a commercial-grade ray-tracing software: Wireless Insite by Remcom. We propose to finish our investigation (a)~by introducing ways of dealing with mobility in emulated scenarios\, and to perform adequate channel sounding to validate them\, and (b)~by indicating ways to provide input to the emulator through actual wireless measurements in the field. Particularly\, as campaigns in the field provide measurements for a sparse set of locations\, we plan to use deep learning techniques to “interpolate” channel parameters for a larger set of locations\, determining the trade-offs for achieving desired accuracy and reasonable computational requirements.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-miead-tehrani-moayyed/
LOCATION:432 ISEC\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=432 ISEC 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T120000
DTEND;TZID=America/New_York:20220224T133000
DTSTAMP:20260520T074903
CREATED:20220210T211747Z
LAST-MODIFIED:20220210T211747Z
UID:30277-1645704000-1645709400@coe.northeastern.edu
SUMMARY:CILS Seminar: Photoacoustics from VisualSonics
DESCRIPTION:Join this seminar to learn about the capabilities of photoacoustics in research ranging from oncology and molecular biology to cardiology and neurobiology. \nThe presentation from VisualSonics will be followed by a student presentation from Kevin Bardon in the Clark Lab\, focusing on where his research will go with this technology. Visit Vevo LAZR-X for more details about the instrument.
URL:https://coe.northeastern.edu/event/cils-seminar-photoacoustics-from-visualsonics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T170000
DTEND;TZID=America/New_York:20220224T180000
DTSTAMP:20260520T074903
CREATED:20220214T160357Z
LAST-MODIFIED:20220214T160357Z
UID:30293-1645722000-1645725600@coe.northeastern.edu
SUMMARY:Crafting an Elevator Pitch-A CommLab Virtual Workshop
DESCRIPTION:Useful during any stage of your research career\, the elevator pitch is an integral part of your research dissemination toolbox.  We will discuss the essential components of the elevator pitch\, and help you build the content and practice your pitch for a variety of situations.  Register Now.
URL:https://coe.northeastern.edu/event/crafting-an-elevator-pitch-a-commlab-virtual-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T183000
DTEND;TZID=America/New_York:20220224T193000
DTSTAMP:20260520T074903
CREATED:20220218T212544Z
LAST-MODIFIED:20220218T212645Z
UID:30364-1645727400-1645731000@coe.northeastern.edu
SUMMARY:Galante x Amazon Robotics Career Info Session
DESCRIPTION:Please join the Galante Engineering Business Program in welcoming Northeastern and Galante alumni Andrea Dorta\, Technical Program Manager at Amazon Robotics\, along with colleagues and Northeastern alumni Kyle Auger\, Technical Product Manager\, and Jake Holstein\, Sr. Technical Program Manager for an event during which they will provide an overview of Amazon Robotics and management opportunities for FT and Fall 2022 co-ops\, serving as an excellent chance to network and discuss professional development opportunities. There will also be a raffle for Amazon Robotics prizes and gear. \nAndrea Dorta (LinkedIn) is a Technical Program Manager at Amazon Robotics working cross-functionally supporting the launch of state of the art robotics warehouses. Andrea graduated in May 2020 with a Bachelors in Industrial Engineering\, Masters in Engineering Management and a Galante Certificate in Engineering Business. Throughout her 5 years at Northeastern\, Andrea was the VP of Operations of the IISE NEU chapter\, Leadership Development Manager at the International Hispanic Student Club\, and College of Engineering Peer Mentor and Tutor. She completed 3 co-ops\, two of them in the Boston area (Bose and Amazon Robotics) and one in Munich\, Germany as a Prestigious International Scholar. After graduation\, Andrea joined Amazon Robotics as a Technical Program Manager where she has planned and executed large-scale cross functional projects in the US\, European Union and Japan. \nKyle Auger (LinkedIn) is a Technical Product Manager II at Amazon Robotics working in Software’s Robotic Navigation team. Kyle is an alumni of D’Amore-McKim School of Business and graduated in 2018 with a degree in Finance and a minor in Economics. He participated in NEU’s summer program at London School of Economics and completed three co-ops in his four and half years\, one in real estate and two at Amazon. After graduation\, Kyle was hired as a Business Analyst and has worked at Amazon for 4+ years in various roles across the Robotics organization\, including supply chain\, industrial engineering\, and software. \nJake Holstein (LinkedIn) is a Senior Technical Program Manager at Amazon Robotics working cross functionally to improve the robotic product development process. Jake graduated with a Mechanical Engineering degree from Northeastern in 2016 with minors in business and math. While at Northeastern\, he was a founder and president of Enabling Engineering working to improve the day-to-day lives of people with disabilities. After graduation\, Jake joined Amazon Robotics on their deployment team installing robotics worldwide\, transitioned to process engineering in 2018\, and to program management in 2020.
URL:https://coe.northeastern.edu/event/galante-x-amazon-robotics-career-info-session/
LOCATION:440 Egan\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=440 Egan 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave:geo:-71.0886534,42.3396156
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T190000
DTEND;TZID=America/New_York:20220224T203000
DTSTAMP:20260520T074903
CREATED:20220131T170105Z
LAST-MODIFIED:20220201T144707Z
UID:30033-1645729200-1645734600@coe.northeastern.edu
SUMMARY:A Black “Her”story – Panel Discussion
DESCRIPTION:The College of Engineering hosts A Black “Her”story (Herstory) Month event\, featuring a panel discussion of Black women who have had a direct impact on the presence of the Black engineering and science community here at Northeastern\, through their lived experience\, as part of their overall life journey. \nPanelists include: \n\nMichele Lezama – CEO and President\, NACME\n\nFormer Executive Director/President of:\n\nNational GEM Consortium\nNational Society of Black Engineers\nBlack Engineering Student Society – President\n\n\n\n\nCassandra McKenzie – Executive VP – MassDevelopment\n\n\n\nNortheastern University Capital Projects – Facilities\nParsons Brinchkerhoff Quade & Douglas\nBlack Engineering Student Society – Exec. Board Member\n\n\n\n\nLogan Jackson – Sustainability Consultant\, ENGIE Impact\n\n\n\nAnzu Partners\nNortheastern University 1st Rhodes Scholar\nBlack Engineering Student Society – President\n\n\n\n\nDr. Camille Martin – President/Co-Founder\, Seaspire Skincare\n\n\n\nNew York Society of Cosmetic Chemists Members\nProject Lead NSF I-Corp\n\n\n\n\n\nYou must REGISTER to receive an email with information on accessing this virtual event. \nPlease reach out to Richard Harris\, Associate Dean for Diversity\, Equity and Inclusion; ri.harris@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/a-black-herstory-panel-discussion/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220225T090000
DTEND;TZID=America/New_York:20220225T100000
DTSTAMP:20260520T074903
CREATED:20220209T203834Z
LAST-MODIFIED:20220220T182203Z
UID:30241-1645779600-1645783200@coe.northeastern.edu
SUMMARY:Graduate School of Engineering Admissions Information Session
DESCRIPTION:Bold\, interdisciplinary\, and experiential with a focus on innovating for society. Northeastern University’s Graduate School of Engineering encompasses top-ranked\, highly selective\, R1 research programs that combine rigorous academics with experiential learning and convergent research to prepare the next generation of engineering leaders to address the complex challenges of global society. Kelly Egorova\, Director for Graduate Admissions\, will discuss the parameters for success as you begin your application process. She will provide an overview of the 6 departments\, Co-op with the College’s 800 industry partners\, and opportunities for engagement with the graduate student ambassadors. \nRegister Now
URL:https://coe.northeastern.edu/event/graduate-school-of-engineering-admissions-information-session/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220225T120000
DTEND;TZID=America/New_York:20220225T124500
DTSTAMP:20260520T074903
CREATED:20220131T211658Z
LAST-MODIFIED:20220131T211658Z
UID:30081-1645790400-1645793100@coe.northeastern.edu
SUMMARY:Library Webinar: Getting Started with BibTeX
DESCRIPTION:Learn how to use BibTeX to increase your efficiency.  BibTeX helps you create bibliographies and in-text citations within a LaTeX system. BibTeX and LaTeX are often used together for preparing high quality documents for publication in STEM fields\, because they accommodate symbols and formulas well. \nThis session will cover: \n\nHow to create a BibTeX file\nHow to add references to your BibTeX list\nHow to add BibTeX citations to your LaTeX document\n\nThe session will use Overleaf\, an online cloud-based LaTeX editor.  Alternatively\, participants may bring and follow along with their preferred LaTeX editor.  A basic understanding of LaTeX is helpful. Read more here \nAll webinars will be recorded. To receive a recording\, please register using your Northeastern email address below. \nRegister here: bit.ly/citationmgmtworkshops \nAll the times of the webinars are in EST.
URL:https://coe.northeastern.edu/event/library-webinar-getting-started-with-bibtex/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220225T150000
DTEND;TZID=America/New_York:20220225T160000
DTSTAMP:20260520T074903
CREATED:20220207T145230Z
LAST-MODIFIED:20220207T145230Z
UID:30167-1645801200-1645804800@coe.northeastern.edu
SUMMARY:Claiming disability as an Identity
DESCRIPTION:Join Ariel Lesnick\, Director of student accessibility services and academic support\, Wentworth Institute of Technology to know about claiming disability as an Identity. An event by the ALLIED project. \nZoom link : https://northeastern.zoom.us/j/95320296228
URL:https://coe.northeastern.edu/event/claiming-disability-as-an-identity/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220301T103000
DTEND;TZID=America/New_York:20220301T113000
DTSTAMP:20260520T074903
CREATED:20220216T150737Z
LAST-MODIFIED:20220222T185523Z
UID:30324-1646130600-1646134200@coe.northeastern.edu
SUMMARY:MathWorks Week: Climate\, Energy and the Built Environment
DESCRIPTION:Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change\, Quantum Computing\, and AI. \n\nClimate\, Energy and the Built Environment\nTuesday\, March 1\, 10:30 am – 11:30 am\nRegister: MathWorksNUSymposiumClimate.eventbrite.com \nInsights of climate changes from the Common Era: an Artificial Intelligence view\nJianghao Wang\, MathWorks \nThe rapid global warming seen in observations over the past 150 years shows nearly global coherence\, the spatiotemporal coherence of climate epochs earlier in the Common Era (the past 2\,000 years)\, however\, has yet to be robustly tested. Understanding how the climate system works and how historical temperature changes shed light on the study of anthropogenic climate change. \nModeling the Stochastic Dynamics of Rotating Wind Turbine Blades\nLuca Caracoglia\, Professor\, Dept. of Civil and Environmental Engineering \nThis presentation describes the results of recent research activities\, examining the dynamic modeling of wind turbine blades under the influence of various sources of input error and noise. The presentation will focus on the flutter phenomenon. Flutter is a flow-induced dynamic instability that results from the coupling between flap-wise bending mode and torsional mode of the rotating blade. \nLocating Damage in Structural Systems\nDennis Bernal\, Professor\, Dept. of Civil and Environmental Engineering \nThis presentation outlines the basic ideas behind some techniques used to localize damage applicable in cases where the structure is large\, and the number of sensors is small. Visual inspection has been the traditional procedure used to check the condition of structural systems but there is significant interest in devising ways to replace or enhance this approach by incorporating information from sensors.
URL:https://coe.northeastern.edu/event/mathworks-week-at-northeastern-university/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220301T120000
DTEND;TZID=America/New_York:20220301T124500
DTSTAMP:20260520T074903
CREATED:20220131T211724Z
LAST-MODIFIED:20220131T211724Z
UID:30083-1646136000-1646138700@coe.northeastern.edu
SUMMARY:Library Webinar: 10 Advanced EndNote Features
DESCRIPTION:Are you ready for advanced features in EndNote\, or are you curious about features you are not currently using? Do you need to use advanced features for a systematic review or literature review? If so\, this online workshop is for you! We will briefly cover each of the following: \n\nCreating Smart Groups\n\n\nImporting/accessing Full Text & PDFs in EndNote\n\n\nEndNote Export Shortcut (RIS export)\n\n\nSharing Libraries\n\n\nEditing References in Word\n\n\nAnnotating PDFs\n\n\nManuscript Matching\n\n\nUsing Drag-and-Drop to Create an Instant Bibliography\n\n\nBacking up Your EndNote Libraries and EndNote Files\nHow to Organize your References for a Systematic Review\n\nThese are features generally not covered in the “Getting Started with EndNote” workshops offered in the fall and spring semesters. \nPlease note: This webinar will be recorded. To receive a copy of the recording\, please register using your Northeastern email address below. All the times of the webinars are in EST. \nRegister here: bit.ly/citationmgmtworkshops
URL:https://coe.northeastern.edu/event/library-webinar-10-advanced-endnote-features/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220302T120000
DTEND;TZID=America/New_York:20220302T130000
DTSTAMP:20260520T074903
CREATED:20220228T144506Z
LAST-MODIFIED:20220228T144506Z
UID:30426-1646222400-1646226000@coe.northeastern.edu
SUMMARY:Development of micro-magnets for bio-medical applications
DESCRIPTION:ChE Seminar Series Presents: \nNora M. Dempsey \nUniv. Grenoble Alpes\, CNRS\, Grenoble INP\, Institut NEEL\, 38000 Grenoble\, France \nAbstract: \nMagnetic flux sources are used to manipulate biological entities (cells\, embryos\, DNA\, proteins…). The magnetic field gradients produced by a flux source scales up as its size is decreased\, resulting in increased force per unit volume. Hard magnetic flux sources are particularly interesting for compact and / or portable applications while the force produced by soft magnetic flux sources on a target object are easily varied.  There is thus great potential for using both hard and soft micro-magnets as flux sources in biology and medicine. \nIn this talk I will briefly review our work on the development and micro-patterning of magnetic films\, in particular Rare Earth – Transition Metal hard magnetic films\, and the low-cost fabrication of micro-magnet arrays based on powder-polymer composites. I will then give examples of bio-medical applications of the micro-magnets we have developed. To wrap up I will discuss potential uses of high intensity pulsed magnetic field sources in bio-medical applications. \nBiography: \nNora Dempsey received her PhD from Trinity College Dublin\, Ireland\, in 1998. Since then she has been based at Institut Néel\, CNRS Grenoble in France. She works on functional magnetic materials\, with an emphasis on hard magnetic materials in film form. These films are used as model systems to guide the development of bulk magnets\, and also to develop micro-magnets for applications in biology\, medicine\, telecommunications and energy management. \nPlease contact a.ramsey@northeastern.edu for the remote seminar link.
URL:https://coe.northeastern.edu/event/development-of-micro-magnets-for-bio-medical-applications/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220303T140000
DTEND;TZID=America/New_York:20220303T163000
DTSTAMP:20260520T074903
CREATED:20220118T182703Z
LAST-MODIFIED:20220118T182703Z
UID:29886-1646316000-1646325000@coe.northeastern.edu
SUMMARY:COE PhD Expo
DESCRIPTION:The College of Engineering is excited to announce the fourth annual COE PhD Research Expo\, and we invite all COE PhD students to submit a poster abstract. This is a wonderful opportunity to highlight your research and meet alumni\, academic\, and industry leaders. \nThe expo will take place during COE’s Graduate Candidate Day\, where PhD candidates could learn first-hand about the exciting research our PhD students are conducting. \n***We are closely monitoring COVID-related updates and abiding by the University policies to ensure safe attendance of the event. Should the expo be conducted virtually\, we will send out follow-up communications about the updated logistics of the event. \nSubmit an Abstract. Deadline: January 24\, 2022\nIn consultation with your research advisor\, submit a poster abstract. We welcome posters that have been presented elsewhere. \nAbstract word limit is 200 words. Authors accepted to participate will be notified by Feb. 2nd of their selection. \nPrepare with a Workshop In addition\, the COE Communications Lab will host workshops on the following dates: \nAbstract – Thursday\, January 20 at 5pm \n\nJoin with Zoom Link\n\nData Visualization – Thursday\, January 27 at 5pm \n\nJoin with Zoom Link\n\nPoster preparation – Thursday\, February 3 at 5pm \n\nJoin with Zoom Link\n\nElevator Pitch/ Presentation – Thursday\, February 24 at 5pm \n\nJoin with Zoom Link\n\nWe are excited to offer this opportunity to showcase the research of our PhD students and to provide a platform for you to gain valuable experience and network with academic and industry leaders.
URL:https://coe.northeastern.edu/event/coe-phd-expo/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220303T150000
DTEND;TZID=America/New_York:20220303T160000
DTSTAMP:20260520T074903
CREATED:20220216T150737Z
LAST-MODIFIED:20220222T185653Z
UID:30327-1646319600-1646323200@coe.northeastern.edu
SUMMARY:MathWorks Week: Chemistry\, Deep Learning and Quantum Computing
DESCRIPTION:Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change\, Quantum Computing\, and AI. \n\nChemistry\, Deep Learning and Quantum Computing\nThursday\, March 3\, 3 pm – 4 pm\nRegister: MathWorksNUSymposiumQuantumComputing.eventbrite.com \nGraph Neural Networks for Chemistry Using MATLAB\nHossein Jooya\, MathWorks \nMATLAB’s new features in handling chemical structures\, from small organic molecules to proteins will be demonstrated. Graph-convolutional (GC) and graph-attention (GA) networks are explained with various examples from toxicity prediction to molecular optimization. Attendees will have access to the shared code modules and can adapt them for their own research with hand-in-hand support from MathWorks technical team. \nPhotonic Quantum Technologies\nSunil Mittal\, Professor\, Dept. of Electrical and Computer Engineering \nThis talk will discuss the generation\, manipulation\, and measurements of quantum states of light\, such as entangled photons\, for applications in photonic quantum computation\, quantum communications\, and sensing. \nDo You Trust Your Quantum Computers with Correct Answers?\nDevesh Tiwari\, Professor\, Dept. of Electrical and Computer Engineering \nNoisy Intermediate-Scale Quantum (NISQ) machines are increasingly being used to develop quantum algorithms and establish use cases for quantum computing. These devices\, however\, are highly error-prone and produce output which can be far from the correct output of the quantum algorithm. This talk will discuss some promising approaches towards estimating the correct program output on erroneous quantum devices.
URL:https://coe.northeastern.edu/event/mathworks-week-at-northeastern-university-2022-03-03/
END:VEVENT
END:VCALENDAR