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DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260518T020015
CREATED:20220201T180550Z
LAST-MODIFIED:20220201T180550Z
UID:30088-1644408000-1644411600@coe.northeastern.edu
SUMMARY:Spring 2022 Study Abroad Info Session
DESCRIPTION:This Study Abroad Info Session is designed to introduce you to the wonders of studying abroad. Listen to students talk of past experiences. Representatives from both COE Undergraduate Academic Advising and Global Experience Office will be on hand to provide the details you need for this exciting opportunity. This event will be on Wednesday\, Feb. 9th 2022 from 12:00-1:00pm in 458 RI.
URL:https://coe.northeastern.edu/event/spring-2022-study-abroad-info-session/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260518T020015
CREATED:20220207T145452Z
LAST-MODIFIED:20220207T145452Z
UID:30180-1644408000-1644411600@coe.northeastern.edu
SUMMARY:Capture and Conversion of CO2 – Towards CO2 Recycling
DESCRIPTION:ChE Seminar Series Presents: \nJuliana Carnerio\, Ph.D \nPostdoctoral Research Fellow \nSchool of Chemical Engineering & Biomolecular Engineering\, Georgia Institute of Technology \nAbstract: \nOur current global fossil-based economy produces significant environmental\, economic\, and social challenges. Such complex challenges are the defining issues of our time\, pushing society toward stepwise decarbonization of our energy and consumption economy. Ideally\, the aim is a more just and reliable economy\, with minimal social and environmental burdens and the redistribution of economic and environmental benefits. To this end\, a circular carbon economy – which integrates energy\, chemical\, and waste management sectors – offers an opportunity to rethink our linear model. With the CO2 recycling system playing a central role in this proposed model\, the scientific community responds with efforts in R&D to create a suite of CO2 mining and utilization technologies. \nIn the first part of my talk\, I will tackle the electrochemical conversion of CO2 at an elevated temperature regime\, using Reversible Solid Oxide Electrochemical Cells (RSOECs). The optimization of the performance of the oxygen and fuel electrodes in these cells has been hindered by the limited understanding of the factors that govern the O2 and CO2 chemistries. As such\, I will discuss our efforts toward developing design principles for the identification of optimal electrocatalysts for these electrode reactions. We used a combination of theoretical calculations\, controlled synthesis\, advanced characterization\, and testing to show that the binding energy of atomic oxygen can be used as an activity descriptor for these processes. It was found that a compromise in the oxophilicity of the electrocatalyst was required to achieve optimal activity and stability. Our theory-guided design principles successfully identified: (i) Cobalt-doped La2NiO4 as a highly active material for O2 electrocatalysis\, and (ii) Fe\, the most oxophilic metal tested\, as a highly active metal for CO2 electrochemical reduction. However\, Fe exhibited unstable electrochemical behaviors induced by the oxidation of the metal under electrochemical CO2 reduction conditions in SOECs. This phenomenon ratifies the importance of the strength of oxygen binding on the electrocatalyst surface as a descriptor of activity and stability for CO2 electrolysis in SOECs. \nIn the second part of my talk\, I will highlight our work on adsorptive materials for the direct air capture (DAC) of atmospheric CO2. We explore the role of atmospheric humidity as an essential stability parameter for DAC processes employing solid amine adsorbents. We demonstrate this by using prototypical class 1 aminopolymer-type solid sorbents that allow for flexibility in the support use. Sorbent deactivation was investigated by means of several complementary factors\, including (i) the relative loss in amine efficiency determined via time-course CO2 sorption\, (ii) elemental analysis\, and (iii) in situ IR spectroscopy to obtain an understanding of the role of water on the sorbent degradation process. Our findings provide important insights into the relevant parameters that impact the effective design of DAC sorbents and processes for different climatic environments\, allowing tailoring of sorbent formulations to overcome the challenges associated with highly varied conditions in which a DAC process must operate. \nBio: \nDr. Juliana Carneiro is a postdoctoral research fellow in the School of Chemical Engineering & Biomolecular Engineering at the Georgia Institute of Technology with Professor Christopher W Jones. She received her Ph.D. in Chemical Engineering from Wayne State University in 2019 under the supervision of Prof. Eranda Nikolla. Her research interests lie in developing active\, selective\, and stable electrocatalysis for electrochemical conversion and separation processes\, including the electrochemical recycling/upcycling of post-consumer plastics\, the capture and storage of CO2 from oceans\, and the capture and conversion of atmospheric CO2. She is the recipient of several awards\, including\, but not limited to the 2017-2018 Ralph H. Kummler Award for Distinguished Achievement in Graduate Student Research\, 2018 Women’s Initiatives Committee’s (WIC) AIChE Travel Award\, and the prestigious Student Presentation Awards at the (i) Gordon Research Conference on Catalysis\, (ii) the Michigan Catalysis Society.
URL:https://coe.northeastern.edu/event/capture-and-conversion-of-co2-towards-co2-recycling/
LOCATION:024 East Village\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3396156;-71.0886534
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260518T020015
CREATED:20220207T191833Z
LAST-MODIFIED:20220207T191833Z
UID:30192-1644408000-1644411600@coe.northeastern.edu
SUMMARY:ECE Seminar: Derya Aksaray
DESCRIPTION:ECE Seminar: Reinforcement Learning for Dynamical Systems with Temporal Logic Specifications \nDerya Aksaray \nLocation: 442 Dana or Zoom Link \nAbstract: In many applications\, dynamical systems such as drones\, mobile robots\, or autonomous cars need to achieve complex specifications on their trajectories which may include spatial (e.g.\, regions of interest)\, temporal (e.g.\, time bounds)\, and logical (e.g.\, priority\, preconditions\, concurrency among tasks) requirements. As these specifications become more complex\, encoding them via algebraic equations become intractable. Alternatively\, such specifications can be compactly expressed and used in control synthesis by utilizing the framework of temporal logics. In this talk\, I will address the problem of learning optimal control policies for satisfying temporal logic (TL) specifications in the face of uncertainty. Standard reinforcement learning (RL) algorithms\, which aim to maximize the expected sum of discounted rewards\, are not directly applicable when the objective is to satisfy a TL specification. To overcome this limitation\, I will formulate an approximate problem that can be solved via reinforcement learning and present the suboptimality bound of the proposed solution. Then\, I will consider the case where a TL specification is given as the constraint rather than the objective and present a novel approach for satisfying the TL constraint with a desired probability throughout the learning process. I will motivate this part by multi-use of autonomous systems\, e.g.\, a drone executing a pick-up and delivery mission as its primary task (constraint) while learning to fly over regions of interest (aerial monitoring) as its secondary task (objective). Finally\, I will conclude my talk by discussing some future directions toward the resilience and safety of autonomous systems with complex specifications. \nBio: Derya Aksaray is currently an Assistant Professor in the Department of Aerospace Engineering and Mechanics at the University of Minnesota (UMN). Before joining UMN\, she held post-doctoral researcher positions at the Massachusetts Institute of Technology from 2016-2017 and at Boston University from 2014-2016. She received her Ph.D. degree in Aerospace Engineering from the Georgia Institute of Technology in 2014. Her research interests lie primarily in the areas of control theory\, formal methods\, and machine learning with applications to autonomous systems and aerial robotics.
URL:https://coe.northeastern.edu/event/ece-seminar-derya-aksaray/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T150000
DTEND;TZID=America/New_York:20220209T160000
DTSTAMP:20260518T020015
CREATED:20220201T181455Z
LAST-MODIFIED:20220201T181455Z
UID:30091-1644418800-1644422400@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Mengting Yan
DESCRIPTION:PhD Proposal Review: Circuit Design Methods for Temperature-based Hardware Trojan Detection and Parametric Frequency Division in Next-Generation Systems-on-a-Chip \nMengting Yan \nLocation: Zoom Link \nAbstract: With the increasing costs and globalization in the semiconductor industry over the past years\, the ongoing trends to disperse integrated circuit (IC) design\, fabrication and testing tasks among different design centers and manufacturers are becoming more common and inevitable. As a soaring number of ICs are fabricated around the world\, the increasing risks associated with hardware Trojan (HT) insertions have been identified as a growing concern in military systems\, medical applications\, wireless cryptography\, etc. This research introduces an integrated system-level on-chip countermeasure to malicious HT insertions\, which is founded on power sensing and integrated circuit design. The approach addresses the corresponding design considerations of analog temperature sensors\, on-chip quantization of signals and machine learning-based data analysis.\nAn on-chip temperature-based HT detection system is proposed in the first part of this dissertation research. The approach to detect inserted HTs relies on thermal profiling of the circuit-under-test (CUT) and side-channel analysis of the obtained thermal data. Hence\, a system that includes the CUT\, modeled HT\, temperature sensing circuitry and an on-chip ADC will be implemented and evaluated through simulations and measurements. On-chip electro-thermal coupling is modeled as part of the simulation technique\, which associates local thermal activities with circuit-level power consumption using a standard electrical simulator. To monitor the thermal profiles on chips with high sensitivity to local temperature changes and the resilience to flicker noise\, a fully-differential temperature sensor equipped with a chopping mechanism has been designed in 130-nm CMOS technology\, which has a sensitivity of 840 V/°C over a linear dynamic range of ±1°C. The simulated temperature sensor output in the presence of noise and process variations is quantized by an ideal ADC model and processed using principal component analysis (PCA)\, which allows to determine the minimum detectable Trojan power and the design requirements for the on-chip ADC. With a modeled 8-bit ideal ADC\, the proposed HT detection system shows a detection rate of 100% with a Trojan power down to 2.4 µW within the thermal profile of a CUT consuming 508 µW. A prototype 8-bit 1 MS/s SAR ADC was designed in 130-nm CMOS technology\, fabricated\, and tested. The measured effective number of bits (ENOB) is 7.27 bits up to the Nyquist frequency with a power consumption of 103.2 µW from a 1.2 V supply.\nAnother part of this dissertation research addresses the need for low-power 2:1 frequency division at sub-6 GHz frequencies for radio frequency (RF) systems-on-a-chip (SoCs). In particular\, a differential 2:1 parametric frequency divider (PFD) with an output frequency of 2.4 GHz and an input voltage range of 450-890 mV at 4.8 GHz is being designed in 65-nm CMOS technology\, which mainly consists of passive on-chip components and consumes zero static power. The proposed PFD is the first on-chip CMOS implementation for sub-6 GHz applications\, which balances the trade-offs among frequency range\, power consumption\, and chip area constraints. As an important part of this dissertation\, the performance of the proposed PFD will be validated with measurements of a prototype chip fabricated in standard 65-nm CMOS technology.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-mengting-yan/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T113000
DTEND;TZID=America/New_York:20220210T123000
DTSTAMP:20260518T020015
CREATED:20220210T165423Z
LAST-MODIFIED:20220210T165423Z
UID:30234-1644492600-1644496200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Giuseppe Michetti
DESCRIPTION:PhD Proposal Review: IoT Front-Ends enhanced by Time-Variant RF-MEMS based Circuits \nGiuseppe Michetti \nLocation: Zoom \nAbstract: Implementation of cheap\, scalable radio frequency (RF) front ends in the context of the Internet of Things and 5G devices calls for reconfigurable and spectrally efficient components and circuits operating at RF. In the 4G era\, micro-electro-mechanical systems (MEMS) based on piezoelectric resonators have dominated the filter market for mobile radios\, due to their selectively narrow bandwidth (BW)\, small footprint\, and for their capability to be mass-produced with standard CMOS techniques.\nFor succeeding in the 5G era\, micro-acoustic technologies need to take on the challenge of large data-rates and potentially novel RF front-end architectures. To this end\, I introduce spatio-temporal modulation as a powerful tool to enrich the state-of-the-art of RF front-ends\, and I demonstrate how this can be effectively used to fundamentally increase the performance of high-quality factor microsystems operating at RF.\nFor the case of full-duplex systems\, a nonreciprocal filter structure is proposed\, together with its modeling\, optimization strategies\, and experimental demos at 1GHz and 2.5GHz. Starting from this novel modulation scheme\, MEMS devices are used in place of other resonant technologies\, to enable a filter that features strong nonreciprocal propagation at low power consumption (10s of uW) and high linearity (>30dBm).\nFor the case of half-duplex systems\, a novel modulated filter architecture is introduced and modeled showing its capability of real-time BW control\, as well as to fundamentally extend the BW limited of MEMS filters\, typically associated with their limited piezoelectric coupling coefficient (k¬t2)\, without the need of lossy tunable components. Unprecedented BW tuning ratio (3:1) is experimentally demonstrated at VHF (300MHz) using commercial off-the-shelf resonators\, within a compact footprint\, large absolute BW\, and at a reduced fabrication complexity.\nTo cast this device into next-generation mobile radios\, custom-built MEMS devices are developed and characterized for these filter architectures. MEMS device designs for these architectures are proposed\, leveraging the novel Sc- doped AlN thin-films technology recently added to the Northeastern portfolio of microfabrication capabilities. \n 
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-giuseppe-michetti/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T120000
DTEND;TZID=America/New_York:20220210T130000
DTSTAMP:20260518T020015
CREATED:20220119T144441Z
LAST-MODIFIED:20220131T144041Z
UID:29897-1644494400-1644498000@coe.northeastern.edu
SUMMARY:Beyond the Pandemic: Transformative Engineering
DESCRIPTION:In the College of Engineering\, we prepare the next generation of engineers to solve real-world global challenges. Join Dean Gregory D. Abowd for a panel discussion on the ways in which the pandemic has influenced our engineering curriculum and driven our students and faculty to innovate new solutions to issues related to health\, sustainability\, security and more. \nFaculty presenters include: \n\nDr. Jerome F. Hajjar\, CDM Smith Professor and Chair of Civil & Environmental Engineering\, Affiliated Faculty of Marine & Environmental Sciences\nDr. Lee Makowski\, Professor and Chair of Bioengineering\, Professor of Chemistry & Chemical Biology\, Affiliated Faculty of Electrical & Computer Engineering\nDr. Marilyn Minus\, Professor and Chair of Mechanical & Industrial Engineering\nDr. Srinivas Tadigadapa\, Professor and Chair of Electrical & Computer Engineering\nDr. Rebecca Willits\, Professor and Chairperson of Chemical Engineering\, Affiliated Faculty of Bioengineering
URL:https://coe.northeastern.edu/event/beyond-the-pandemic-transformative-engineering-2/
ORGANIZER;CN="Alumni Relations":MAILTO:alumni@northeastern.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220210T180000
DTEND;TZID=America/New_York:20220210T190000
DTSTAMP:20260518T020015
CREATED:20220204T144440Z
LAST-MODIFIED:20220204T144440Z
UID:30123-1644516000-1644519600@coe.northeastern.edu
SUMMARY:Summer1\, 2022 Panama DOC: International Applications of Fluid Mechanics - Info Session
DESCRIPTION:If you are interested in learning fluid mechanics through relevant examples in an international setting in a Dialogue Of Civilization (DOC) program this summer in Panama\, please join the Zoom Info Session on Thursday\, February 10th at 6:00 pm. By participating in this program\, you will gain an international perspective on the real-life applications of fluid mechanics\, while learning about the culture and history of this burgeoning and diverse Latin America country. This program will take place in Summer 1\, 2022 and will include travel to 3 relevant engineering projects (including the Panama Canal) in different locations in Panama. Two courses are offered under this program: \n\nME 3480 – International Applications of Fluid Mechanics (4SH; equivalent to ME 3475\, ME degree core course requirement)\nStudies fundamental principles in fluid mechanics in an international setting. Students have an opportunity to travel to a foreign locale to develop theoretical understanding while experiencing the issues that affect applications of fluids engineering in a culture and environment different from their own. Topics include hydrostatics (pressure distribution\, forces on submerged surfaces\, and buoyancy); Newton’s law of viscosity; dimensional analysis; integral forms of basic laws (conservation of mass\, momentum\, and energy); pipe flow analysis; differential formulation of basic laws including Navier-Stokes equations; and the concept of boundary layer and drag coefficient.\n\n\nME 4699 – Special Topics in Mechanical Engineering: Fluid Mechanics Engineering Analysis within the Socio-Cultural\, Political and Economic History of Panama (4SH)\nThis course is designed for college undergraduate students who are interested in addressing and analyzing fluid mechanics related engineering problems and solutions in the context of the traditions\, cultures\, and socioeconomic and political history of Panama\, seeking to obtain a solid grasp on the historical developments of the country and their effects on contemporary fluid mechanics engineering projects and issues.\n\nThe courses and program will be taught and run by Prof. Carlos Hidrovo Chavez. \nPlease visit the program website for more information.
URL:https://coe.northeastern.edu/event/summer1-2022-panama-doc-international-applications-of-fluid-mechanics-info-session/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220211T150000
DTEND;TZID=America/New_York:20220211T160000
DTSTAMP:20260518T020015
CREATED:20220207T145123Z
LAST-MODIFIED:20220207T145123Z
UID:30154-1644591600-1644595200@coe.northeastern.edu
SUMMARY:Making digital content accessible: From websites to PDF's
DESCRIPTION:Join Sina Bahram\, a world renowned computer scientist on digital accessibility to discuss how to make digital content accessible. An event by the ALLIED project. \nZoom link: https://northeastern.zoom.us/j/95320296228 \n 
URL:https://coe.northeastern.edu/event/making-digital-content-accessible-from-websites-to-pdfs/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220214T100000
DTEND;TZID=America/New_York:20220214T110000
DTSTAMP:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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
GEO:42.3396156;-71.0886534
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220216T090000
DTEND;TZID=America/New_York:20220216T100000
DTSTAMP:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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:20260518T020015
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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220224T190000
DTEND;TZID=America/New_York:20220224T203000
DTSTAMP:20260518T020015
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/
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