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DTSTART;TZID=America/New_York:20220114T140000
DTEND;TZID=America/New_York:20220114T150000
DTSTAMP:20260507T185022
CREATED:20220118T143826Z
LAST-MODIFIED:20220118T143826Z
UID:29870-1642168800-1642172400@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Andac Demir
DESCRIPTION:PhD Dissertation Defense: Automated Bayesian Network Exploration for Nuisance-Robust Inference \nAndac Demir \nLocation: Zoom Link \nAbstract: A fundamental challenge in the analysis of physiological signals is learning useful features that are robust to nuisance factors e.g.\, inter-subject \& inter-session variability\, and achieve the highest nuisance-invariant classification performance. Towards resolving this problem\, we introduce 3 frameworks: AutoBayes\, which is an AutoML approach to conduct neural architecture search for research prototyping\, and GNN based frameworks: EEG-GNN and EEG-GAT.\nThe ultimate goal of the AutoBayes framework is to identify the conditional relationship between a physiological dataset\, associated task labels\, nuisance variations and potential latent variables in order to robustly infer the task labels invariant of nuisance factors. Nuisance factors in the case of physiological datasets could be variations in subjects or sessions\, but we only focus on subject variations in the experiments. AutoBayes enumerates all plausible Bayesian networks between data\, labels\, nuisance variations and potential latent variables\, detects and prunes the unnecessary edges according to Bayes-Ball Algorithm\, and then trains the resulting DNN architectures for different hyperparameter configurations in an adversarial / non-adversarial or a variational / non-variational setting to achieve the highest validation performance. Instead of hyperparameter tuning for model optimization\, AutoBayes concentrates on the architecture search of plausible Bayesian networks\, and achieves state-of-the-art performance across several physiological datasets. Furthermore\, we ensemble several Bayesian networks by stacking their posterior probability vectors in a higher level learning space\, train a shallow MLP as a meta learner\, and measure the task and nuisance classification performance on a hold-out dataset. We observe that exploration of different inference Bayesian networks has a significant benefit in improving the robustness of the machine learning pipeline\, and the parallel activity of vast assemblies of different Bayesian network models significantly reduces variation across subjects in the cross-validation setting.\nIn the second part of the dissertation\, we benchmark the performance of EEG-GNN and EEG-GAT against the AutoBayes framework. CNN’s have been frequently used to extract subject-invariant features from EEG for classification tasks\, but this approach holds the underlying assumption that electrodes are equidistant analogous to pixels of an image and hence fails to explore/exploit the complex functional neural connectivity between different electrode sites. We overcome this limitation by tailoring the concepts of convolution and pooling applied to 2D grid-like inputs for the functional network of electrode sites. Furthermore\, we develop various GNN models that project electrodes onto the nodes of a graph\, where the node features are represented as EEG channel samples collected over a trial\, and nodes can be connected by weighted/unweighted edges according to a flexible policy formulated by a neuroscientist. The empirical evaluations show that our proposed GNN-based framework\, EEG-GNN\, outperforms standard CNN classifiers across ErrP and RSVP datasets\, as well as allowing neuroscientific interpretability and explainability to deep learning methods tailored to EEG related classification problems. Besides that\, EEG-GAT employs multi-head attention mechanism in conjunction with the GNN architecture to learn the graph topology of observations instead of utilizing a graph shift operator that is heuristically constructed by a domain expert. This implicitly allows the exploration of the functional neural connectivity peculiar to a cognitive task between pairs of EEG electrode sites as well as EEG channel selection\, which is critical for reducing computational cost\, and designing portable EEG headsets.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-andac-demir/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220119T180000
DTEND;TZID=America/New_York:20220119T190000
DTSTAMP:20260507T185022
CREATED:20211215T192248Z
LAST-MODIFIED:20211215T192248Z
UID:29742-1642615200-1642618800@coe.northeastern.edu
SUMMARY:COE Global Co-op Info Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/Fall 2022. \nTopics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nLogistics for moving and living abroad\nTips and resources for self-developing global positions\n\nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/Fall 2022. \nRSVP on the NUworks Events Calendar. \nPlease reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information
URL:https://coe.northeastern.edu/event/coe-global-co-op-info-session-5/
LOCATION:Raytheon Amphitheater (240 Egan)\, 360 Huntington Ave\, 240 Egan\, Boston\, MA\, 02115\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220120T110000
DTEND;TZID=America/New_York:20220120T120000
DTSTAMP:20260507T185022
CREATED:20220106T144246Z
LAST-MODIFIED:20220106T144246Z
UID:29829-1642676400-1642680000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Vedant Sumaria
DESCRIPTION:PhD Proposal Review: Exploring Micro-Machined Glass Shell Resonators For Sensor Application \nVedant Sumaria \nLocation: Zoom \nAbstract: Optical resonators have been playing an important role in modern optics. They are fundamental in any laser device\, etalon for optical filtering\, accurate measurement for non-linear optics. Bulk optical resonators that use two or more mirrors are usually used in all branches of modern linear and non-linear optics. There are many limitations in using such systems because they cannot provide high performance (high quality (Q) factor) and their size\, weight\, and alignment\, creates stability problems. To solve these problems\, there was an emerging class of miniaturized dielectric cavity based optical resonators that exploited the light confinement phenomenon through internal reflection. These resonators have a circular symmetry\, and they sustain modes known as the Whispering Gallery Modes (WGM) that is nothing but electromagnetic waves that circulate and are confined within the structure. Fabrication of these dielectric optical resonators is simpler and comparatively inexpensive. They demonstrate higher mode stability and higher performance. \nIn this proposal review\, I will discuss the working principles of a WGM resonator and study the various loss mechanisms to improve the quality factor. Further I will discuss the fabrication of on chip glass-blown microspherical shell resonators. These on-chip spherical glass shells are micrometers to millimeters in diameter with ultra-smooth surfaces and micrometer wall thicknesses which can sustain optical resonance modes with high Q-factors up to 50 million. Further we discuss various methods used to etch the backside silicon to create a liquid core optical resonator. This etching leads to increase in the surface roughness leading to loss of resonance. We optimized etching methods and parameters to keep the resonance as high as 18 million. By etching the silicon resonator’s temperature sensitivity is improved from -1.15 GHz/K to 2.23 GHz/K. This optical WGM sensor is then novel biosensor consisting of a chip-scale whispering gallery mode resonators with High-Q factor and a micro-caloric system. The silicon released shell resonator is elastically coupled to a kapton tubing system. Temperature change in the system induces thermal expansion and thermorefractive changes which can be sensitively monitored through changes in the optical resonance characteristics. We demonstrate a measurement resolution less than 10mK and a method of measuring temperature change to eliminate background noise that shows a great potential for detection of various biomolecules such as urea. We also discuss the possibility to use the sensor as an extremely sensitive IR sensor. Finally\, we talk about the future work in immobilization of urease and glucose oxidase to test for analytes like urea and glucose with concentrations in micro-mole.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-vedant-sumaria/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220120T153000
DTEND;TZID=America/New_York:20220120T163000
DTSTAMP:20260507T185022
CREATED:20220111T151529Z
LAST-MODIFIED:20220111T151529Z
UID:29839-1642692600-1642696200@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Hamed Mohebbi Kalkhoran
DESCRIPTION:PhD Proposal Review: Machine Learning Approaches for Classification of Myriad Underwater Acoustic Events Over Continental-shelf Scale Regions with Passive Ocean Acoustic Waveguide Remote Sensing \nHamed Mohebbi Kalkhoran \nLocation: Zoom Link \nAbstract: Underwater acoustic data contain a myriad of sound sources that include bioacoustics related to marine life such as marine mammals and fishes; man-made such as ships\, sonar\, and airguns; as well as natural geophysical processes such as earthquake\, hurricane\, and volcanic eruption. Among underwater acoustic events\, marine mammal vocalization classification is one of the most challenging problems due to their transient broadband calls\, high variation in the calls of a specie (intra-class variation)\, and high similarity between the calls of some species. In this thesis\, we investigate machine learning approaches for classifying marine mammal vocalizations for real-time applications. We utilize acoustic data from a 160-element coherent hydrophone array and employ the passive ocean acoustic waveguide remote sensing technique to enable sensing and detections over instantaneous wide areas more than 100 km in diameter from the array. A variety of computational accelerating approaches\, combining hardware and software\, that make the methods desirable for real-time applications are also developed.\nHumpback whale behavior\, population distribution and structure can be inferred from long term underwater passive acoustic monitoring of their vocalizations. Here we employ machine learning approaches to classify humpback whale vocalizations into song and non-song calls. We use wavelet signal denoising and coherent array processing to enhance the signal-to-noise ratio. To build features vector for every time sequence of the beamformed signals\, we employ Bag of Words approach to time-frequency features. Finally\, we apply Support Vector Machine (SVM)\, Neural Networks\, and Naive Bayes to classify the acoustic data and compare their performances. Best results are obtained using Mel Frequency Cepstrum Coefficient (MFCC) features and SVM which leads to 94% accuracy and 72.73% F1-score for humpback whale song versus non-song vocalization classification.\nTo classify a large variety of whale species by their calls\, we extracted time-frequency features from Power Spectrogram Density (PSD) of the beamformed signals. Then we used these features to train three classifiers\, which are SVM\, Neural Networks\, and Random forest to classify six whale species: Fin\, Sei\, Blue\, Minke\, Humpback\, and general Odontocetes. Best results were obtained with Random forest classifier\, which achieved 95% accuracy\, and 85% F1 score. To detect transient sound sources\, first we applied Per-Channel Energy Normalization (PCEN) on the PSD of the beamformed signals. We applied thresholding on the PCEN data followed by morphological image opening to find potential sound sources and reduce noisy detections. Then we applied connected component analysis to obtain the final detected sounds for each bearing. To estimate the Direction of Arrival (DoA) of detected sounds\, we applied non-maximum suppression (NMS)\, which is widely used in object detection applications in computer vision\, on the detected sounds. We used mean power of each detected sound as the scores for NMS. To speed up the data processing\, we investigated a variety of accelerating approaches\, such as analyzing the effect of floating point precision\, applying parallel processing\, and implementing fast algorithms to run on GPU.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-hamed-mohebbi-kalkhoran/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220121T150000
DTEND;TZID=America/New_York:20220121T160000
DTSTAMP:20260507T185022
CREATED:20211220T144658Z
LAST-MODIFIED:20211220T144658Z
UID:29778-1642777200-1642780800@coe.northeastern.edu
SUMMARY:Disability rights with Mrs. Christine Griffin
DESCRIPTION:Learn about disability rights with a Nationally recognized lawyer on Friday\, 21st January at 3 p.m. in ISEC 655\, 6th floor or virtually through zoom – https://northeastern.zoom.us/j/95320296228 \n 
URL:https://coe.northeastern.edu/event/disability-rights-with-mrs-christine-griffin/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220124T130000
DTEND;TZID=America/New_York:20220124T140000
DTSTAMP:20260507T185022
CREATED:20220118T182834Z
LAST-MODIFIED:20220118T182834Z
UID:29883-1643029200-1643032800@coe.northeastern.edu
SUMMARY:ECE Seminar: Nathan Lazarus
DESCRIPTION:ECE Seminar: Stretchable Magnetics for Soft Robotics \nNathan Lazarus \nLocation: Zoom Link \nAbstract: Recent innovations in making robots from softer biofriendly materials have opened broad new applications ranging from medicine to agriculture. Due to the reliance of much of the field on pneumatic actuation\, heavy and rigid pumps\, and control circuitry for driving pressure chambers have become a major limitation for fully soft\, untethered soft robots. In my talk\, I will discuss all aspects of creating soft electromagnets\, inductors and power circuits for electromagnetic actuation and power management in stretchable systems. Using unconventional materials like room temperature liquid metals and ferrofluids\, we demonstrate record performance for a stretchable inductor. These stretchable inductors are then used to create flexible and stretchable pumps with flow rates nearly two orders of magnitude higher than past demonstrations in the literature and integrated into a simple soft robot demonstrator. \nBio: Nathan Lazarus has worked extensively in areas ranging from mixed signal electronics to MEMS fabrication\, with his Ph.D. at Carnegie Mellon culminating in 2012 with the demonstration of the highest recorded fractional sensitivity to date for a capacitive chemical sensor topology integrated with CMOS electronics. Since joining US Army Research Laboratory in May 2012\, Dr. Lazarus’s research has focused on stretchable power electronics\, soft robotics and 3D printing. He has received numerous awards including ARL’s Honorary Award for Engineering and the Rookie of the Year Excellence in Federal Career Award (Gold) from the Baltimore Federal Executive Board. In 2019\, Dr. Lazarus was selected for the Presidential Early Career Award for Scientists and Engineers (PECASE)\, the highest honor given by the US government for researchers beginning their independent research careers.
URL:https://coe.northeastern.edu/event/ece-seminar-nathan-lazarus/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220125T120000
DTEND;TZID=America/New_York:20220125T130000
DTSTAMP:20260507T185022
CREATED:20211215T192318Z
LAST-MODIFIED:20211215T192318Z
UID:29746-1643112000-1643115600@coe.northeastern.edu
SUMMARY:COE Global Co-op Info Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/Fall 2022. \nTopics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nLogistics for moving and living abroad\nTips and resources for self-developing global positions\n\nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/Fall 2022. \nRSVP on the NUworks Events Calendar. Location- Curry Student Center 333. \nPlease reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/coe-global-co-op-info-session-6/
LOCATION:Curry Student Center\, 360 Huntington Ave.\, Boston\, MA\, 02115\, United States
GEO:42.3394629;-71.0885286
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220126T120000
DTEND;TZID=America/New_York:20220126T130000
DTSTAMP:20260507T185022
CREATED:20220120T190850Z
LAST-MODIFIED:20220120T202413Z
UID:29913-1643198400-1643202000@coe.northeastern.edu
SUMMARY:Materials Exhibiting Biomimetic Carbon Fixation: Kinetic Analysis\, Mechanistic Insights\, and Material Design
DESCRIPTION:ChE Seminar Series Presents: \nDorsa Parviz\, Ph.D. \nDepartment of Chemical Engineering\, Massachusetts Institute of Technology \n Abstract: \nPopulation growth and climate change necessitate a paradigm shift from current chemical and materials production methods to more sustainable approaches with a negative carbon footprint. In view of this\, I will introduce carbon fixing materials (CFM) as a new synthetic platform that\, like plants\, utilize sunlight to photocatalytically reduce ambient CO2 and add to an ever-extending carbon backbone. First\, I will describe a mathematical framework enveloping the main functions of carbon fixing materials to answer basic questions about the kinetics regimes of operation\, photocatalytic requirements\, and limits of functional materials in CFMs. I will also present mechanistic insights on the photocatalytic reduction of CO2 to C1 intermediates as desired intermediates for producing value-added products from CO2. In the second part of my talk\, I will focus on state-of-the-art 2D nanomaterials and strategies for surface engineering these materials in the colloidal state\, addressing challenges in their characterization for applications in photocatalysis. \nBio: \nDorsa Parviz is a postdoctoral researcher at the Massachusetts Institute of Technology\, working with Prof. Michael Strano in the Department of Chemical Engineering. She earned her Ph.D. in 2016 from Texas A&M University under the guidance of Prof. Micah Green\, where she pioneered techniques for high-yield production of 2D nanomaterials\, investigated their colloidal interactions and assembly\, and designed tailored nanosheet-based polymer composites and 3D networks for structural and electrode applications. During her postdoc\, she developed carbon fixing materials at MIT\, establishing a high-throughput photocatalytic reaction screening system to accomplish this vision. In addition\, she has led the research on the preparation and characterization of biocompatible engineered 2D nanomaterials with tailored structure and properties for nanotoxicity studies at NIEHS Nanosafety Center. \nIf unable to attend in person\, please contact a.ramsey@northeastern.edu for the seminar link.
URL:https://coe.northeastern.edu/event/materials-exhibiting-biomimetic-carbon-fixation-kinetic-analysis-mechanistic-insights-and-material-design/
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:20220127T110000
DTEND;TZID=America/New_York:20220127T120000
DTSTAMP:20260507T185022
CREATED:20220125T181649Z
LAST-MODIFIED:20220125T181649Z
UID:29951-1643281200-1643284800@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Meruyert Assylbekova
DESCRIPTION:PhD Proposal Review: Aluminum Nitride and Scandium-doped Aluminum Nitride Materials and Devices for Beyond 6 GHz Communication \nMeruyert Assylbekova \nLocation: Zoom Link \nAbstract: With almost all of the sub-­6 GHz spectrum now being allocated\, current bandwidth shortage has motivated the exploration of untapped frequencies beyond 6 GHz for future broadband wireless communication. Shift to higher frequency spectra is expected to deliver a significant performance improvement in network capacity\, data rates\, latency\, and coverage. These refinements will enable the development of new life­changing technologies such as Vehicle to Everything (V2V to V2X)\, ubiquitous Internet of Things (IoT)\, and Augmented and Virtual reality (AR and VR). Among a variety of novel 5G applications\, the implementation of 5G mobile broadband imposes especially demanding specifications on Radio Frequency Front­End (RFFE) architectures. 5G smartphones are expected to carry over the legacy sub-­6 GHz bands\, which translates into an increased number of filters.\nIn this context\, the first part of this work will introduce lithographically defined Aluminum Nitride (AlN) piezoelectric microacoustic resonators as a promising solution for the implementation of future minituarized adaptive RFFEs.\nWhile AlN has been a material of choice for acoustic filters for over two decades\, future technologies are calling for a material with superior piezoelectric strength. It has been shown that the piezoelectric activity of AlN can be enhanced by partially substituting Al with Sc to form AlScN. Thus\, the second part of this work will explore material properties of AlScN along with the challenges that need to be addressed to take full advantage of its piezoelectric and ferroelectric strength. Last\, AlScN resonators and filters will be demonstrated as promising candidates for the future beyond 6GHz technologies.
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-meruyert-assylbekova/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220127T170000
DTEND;TZID=America/New_York:20220127T180000
DTSTAMP:20260507T185022
CREATED:20211215T192337Z
LAST-MODIFIED:20211215T192337Z
UID:29749-1643302800-1643306400@coe.northeastern.edu
SUMMARY:COE Global Co-op Info Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/Fall 2022. \nTopics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nLogistics for moving and living abroad\nTips and resources for self-developing global positions\n\nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/Fall 2022. \nRSVP on the NUworks Events Calendar. Location- Curry Student Center 333. \nPlease reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information
URL:https://coe.northeastern.edu/event/coe-global-co-op-info-session-7/
LOCATION:Curry Student Center\, 360 Huntington Ave.\, Boston\, MA\, 02115\, United States
GEO:42.3394629;-71.0885286
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Curry Student Center 360 Huntington Ave. Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave.:geo:-71.0885286,42.3394629
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220127T170000
DTEND;TZID=America/New_York:20220127T180000
DTSTAMP:20260507T185022
CREATED:20220124T145449Z
LAST-MODIFIED:20220124T145449Z
UID:29926-1643302800-1643306400@coe.northeastern.edu
SUMMARY:How to Make Compelling Figures- a Data Visualization Workshop
DESCRIPTION:In this interactive virtual workshop\, we’ll walk you through the steps of creating and revising compelling data visualizations and graphics. \nTo get the most out of the workshop\, please bring a visualization that you would like to improve and use in your own work. The visualization can be anything from a table of numbers\, to a graph\, to an illustration or diagram. The visualization does not have to be polished and can even be an informal sketch of a visual you would like to make in the future. \nClick HERE to Register via Zoom \nThis workshop is sponsored by the CommLab and presented by Kate Kryder\, the Data Analysis and Visualization Specialist at Northeastern University Library.
URL:https://coe.northeastern.edu/event/how-to-make-compelling-figures-a-data-visualization-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220127T173000
DTEND;TZID=America/New_York:20220127T190000
DTSTAMP:20260507T185022
CREATED:20220124T145646Z
LAST-MODIFIED:20220124T145646Z
UID:29921-1643304600-1643310000@coe.northeastern.edu
SUMMARY:Galante Engineering Business Program Info Session
DESCRIPTION:Northeastern University’s Galante Engineering Business Program offers a progressive opportunity for engineering students to complement their technical engineering education with business skills by earning a graduate certificate in engineering business. Galante is founded on the values of student engagement and leadership to strengthen interpersonal and professional skills. Programmatic elements are offered to students such as workshops\, speaker series\, site visits\, seminars\, and other related personal and professional development activities as a connected cohort. \nThe Info Session Event is an opportunity for CoE students to learn about the Galante Engineering Business Program\, the opportunities it provides\, the benefits offered\, the application process\, and more. This event will be hosted on Thursday\, January 27th (01/27/22) from 5:30-7:00pm in Egan 440. Attire is business casual. Please be sure to RSVP\, and please be sure to reach out to Program Assistant Bradley Miller (b.miller@northeastern.edu) for questions and additional information\, or visit our website.
URL:https://coe.northeastern.edu/event/galante-engineering-business-program-info-session/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220128T180000
DTEND;TZID=America/New_York:20220128T200000
DTSTAMP:20260507T185022
CREATED:20211206T192907Z
LAST-MODIFIED:20211206T192907Z
UID:29676-1643392800-1643400000@coe.northeastern.edu
SUMMARY:Graduate Student of Color Collective 6th Annual Multicultural Mixer
DESCRIPTION:Mark your calendars for a cultural mix and mingle! GSCC will be hosting its 6th Annual Multicultural Mixer on Friday\, January 28\, 2022.
URL:https://coe.northeastern.edu/event/graduate-student-of-color-collective-6th-annual-multicultural-mixer/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220131T130000
DTEND;TZID=America/New_York:20220131T140000
DTSTAMP:20260507T185022
CREATED:20220127T214437Z
LAST-MODIFIED:20220127T214437Z
UID:29977-1643634000-1643637600@coe.northeastern.edu
SUMMARY:ECE Seminar: Michael Everett
DESCRIPTION:ECE Seminar: Deployable Learning Machines: From cost-to-go estimation to certification \nMichael Everett \nLocation: 442 Dana and Zoom Link \nAbstract: Autonomous robots have the potential to transform our everyday lives\, yet most of these systems struggle outside of the lab or carefully designed warehouses. This talk will first describe our work toward a new generation of robots that learn to handle the highly dynamic and uncertain nature of human environments. In particular\, I will highlight the importance of obtaining accurate cost-to-go models\, which we show can be learned from self-play or aerial imagery for a variety of applications\, from navigation among pedestrians to last-mile delivery. The talk will then dive into the challenges of certifying the safety and robustness properties of machines that learn. I will describe our work that uses convex relaxations and set partitioning to simplify the analysis of highly nonlinear neural networks used across AI. These analysis tools led to the first framework for deep reinforcement learning that is certifiably robust to adversarial attacks and noisy sensor data. The tools also enable reachability analysis — the calculation of all states that a system could reach in the future — for systems that employ neural networks in the feedback loop\, which provides another notion of safety for learning machines that interact with uncertain environments. Finally\, I will discuss my long-term vision that aims to spark a new era of learning machines that can be deployed in any environment without human supervision. \nBio: Michael Everett is currently a Research Scientist in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). He received the S.B.\, S.M.\, and Ph.D. degrees in mechanical engineering in 2015\, 2017\, and 2020\, respectively\, at MIT. His research lies at the intersection of machine learning\, robotics\, and control theory. His papers have been recognized as one of the Editors’ Top 5 Articles of 2021 in IEEE Access\, Best Paper Award on Cognitive Robotics at IROS 2019\, Best Student Paper Award and Finalist for Best Paper Award on Cognitive Robotics at IROS 2017\, and Finalist for Best Multi-Robot Systems Paper Award at ICRA 2017. He has been interviewed live on the air by BBC Radio and his team’s robots were featured by Today Show and the Boston Globe.
URL:https://coe.northeastern.edu/event/ece-seminar-michael-everett/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=442 Dana 360 Huntington Ave 442 DA Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, 442 DA:geo:-71.0923044,42.3387508
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220202T120000
DTEND;TZID=America/New_York:20220202T130000
DTSTAMP:20260507T185022
CREATED:20220120T190612Z
LAST-MODIFIED:20220120T202456Z
UID:29915-1643803200-1643806800@coe.northeastern.edu
SUMMARY:Platinum: Not as Noble as We Thought
DESCRIPTION:ChE Seminar Series Presents: \nArthur Shih\, Ph.D. \nLeiden Institute of Chemistry\, Leiden University\, The Netherlands \nAbstract \nUnderstanding of catalysis at a fundamental level has historically lagged behind its commercial counterpart with the Haber-Bosch ammonia synthesis process and catalytic converters as pertinent examples [1]. This historical paradigm\, however\, is shifting with the advancement of computing prowess and collaboration. We will discuss how experiments and density functional theory (DFT) computations led us to discover that platinum\, a noble metal that is frequently utilized as a catalyst in the cathode of fuel cells\, restructures when the voltage is held constant between fuel-cell relevant voltages of 0.6 and 1.0 V on a reversible hydrogen electrode scale (VRHE) [2]. \nAn anomalous reduction feature at ~0.53 VRHE was observed on a Pt(111) single crystal in Ar-saturated HClO4 after holding at the fuel-cell relevant voltage of 0.8 VRHE (Figure 1). Decades of research has established that Pt(111) in HClO4 oxidizes H2O to adsorbed *OH between 0.6 and 1.0 VRHE [3-5] and this current model is unable to explain the anomalous feature. Using a combination of computational\, electrochemical\, spectroscopic\, and imaging probes\, we find that holding the voltage between 0.6 and 1.0 VRHE results in a mildly-roughened Pt(111) surface [6]\, presumably due to an *OH-induced release of surface stress. The catalytic performance of this mildly roughened Pt(111) was tested for the oxygen reduction reaction (ORR) and carbon monoxide oxidation (CO Oxidation) where it was found that the ORR rate is seemingly structure insensitive and CO Oxidation rate is surprisingly structure sensitive [7]. Overall\, this discovery demonstrates the importance of understanding how dynamic and steady operating conditions influence the electrode-electrolyte interface – critical for predicting\, designing\, and improving current commercial technologies and opening doors for the development of future technologies. \nBio \nArthur Shih’s research interests are in catalysis for the sustainable production of chemicals and energy\, with emphasis on utilizing reaction kinetics and spectroscopy to understand catalytic mechanisms. He obtained his bachelor’s in Chemical Engineering from the University of Michigan during which he developed computer-based resources with H. Scott Fogler for his textbook “Elements of Chemical Reaction Engineering” and explored several research areas ranging from cancer detection to polymers to CO2 capture. He then earned his Ph.D.\, also in Chemical Engineering\, from Purdue University with Fabio H. Ribeiro where he investigated the thermal-catalytic reduction of toxic nitrogen oxides in catalytic converters. Inspired by the growth and prowess of computational chemistry coupled with a desire to capitalize on cheap renewable electricity for the environment\, he then moved to Leiden University and completed a postdoc in Chemistry with Marc Koper on the electrocatalysis of water splitting to H2 and O2 over well-defined single crystal electrodes. During that time he collaborated with several computational chemists around the world. He is currently a postdoctoral scholar in Materials Science and Engineering at Northwestern University with Sossina Haile working on nitride catalysts for high temperature electrochemical ammonia synthesis. \nIf unable to attend in person\, please contact a.ramsey@northeastern.edu for the link.
URL:https://coe.northeastern.edu/event/platinum-not-as-noble-as-we-thought/
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:20220202T173000
DTEND;TZID=America/New_York:20220202T183000
DTSTAMP:20260507T185022
CREATED:20211215T192424Z
LAST-MODIFIED:20211215T192424Z
UID:29755-1643823000-1643826600@coe.northeastern.edu
SUMMARY:COE Global Co-op Info Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/Fall 2022. \nTopics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nLogistics for moving and living abroad\nTips and resources for self-developing global positions\n\nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/Fall 2022. \nRSVP on the NUworks Events Calendar. This session will be virtual. \nPlease reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/coe-global-co-op-info-session-9/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220203T120000
DTEND;TZID=America/New_York:20220203T130000
DTSTAMP:20260507T185022
CREATED:20211215T192403Z
LAST-MODIFIED:20211215T192403Z
UID:29752-1643889600-1643893200@coe.northeastern.edu
SUMMARY:COE Global Co-op Info Session
DESCRIPTION:Join the College of Engineering Global Co-op team in learning about global co-op opportunities for Summer II/Fall 2022. \nTopics discussed will include: \n\nSearch techniques and global positions in your field\nWhat to consider when interested in a global co-op\nLogistics for moving and living abroad\nTips and resources for self-developing global positions\n\nAttendance to one of these sessions is required if you plan to do a global co-op in Summer II/Fall 2022. \nRSVP on the NUworks Events Calendar. Location- Curry Student Center 333. \nPlease reach out to Sally Conant\, Global Co-op Coordinator\, s.conant@northeastern.edu or Kristina Kutsukos\, Global Co-op Coordinator\, k.kutsukos@northeastern.edu for additional information.
URL:https://coe.northeastern.edu/event/coe-global-co-op-info-session-8/
LOCATION:Curry Student Center\, 360 Huntington Ave.\, Boston\, MA\, 02115\, United States
GEO:42.3394629;-71.0885286
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Curry Student Center 360 Huntington Ave. Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave.:geo:-71.0885286,42.3394629
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220203T120000
DTEND;TZID=America/New_York:20220203T130000
DTSTAMP:20260507T185022
CREATED:20220209T212938Z
LAST-MODIFIED:20240227T203353Z
UID:30248-1643889600-1643893200@coe.northeastern.edu
SUMMARY:What’s Next? Career Conversations with NUCEAO
DESCRIPTION:Do you have questions about life after graduation? Northeastern Civil Engineering Alumni Organization (NUCEAO) is offering a virtual lunchtime “office hours” series for students and young alumni to chat and network with professionals who are actively working in the Civil Engineering and Construction fields. \nEach session we will be focusing on a different topic\, but feel free to bring specific questions for our panelists! You can sign up for as many hours as you like. \nSwitching Concentrations After Graduation\nFebruary 3\, 2022 – 12:00 PM-1:00 PM ET \nHear from NUCEAO board members on how they switched concentrations within civil engineering: \nDan Hack\, E’16\, Turner Construction Company\nKayla Sousa\, E’15\, PE\, Howard Stein Hudson\nEzgi Talarico\, E’14\, MBA’21\, Gilbane Building Company \nRelocating for Work\nFebruary 17\, 2022 – 12:00 PM-1:00 PM ET \nHear from NUCEAO board members on how they relocated for work: \nSam Kinnaly\, E’20\, MS’20\, Suffolk Construction\nRyan St. Martin\, E’08\,  JB Pacific\nEzgi Talarico\, E’14\, MBA’21\, Gilbane Building Company \nAcquiring Professional Licensure\nMarch 3\, 2022 – 12:00 PM-1:00 PM ET \nQuestions about obtaining professional licenses and exams like the PE and LEED? Ask NUCEAO! \nAnna Beheshti\, E’15\, PE\, Arup\nTeja Pulla\, MS’18\, LEED AP BDC\, CCT\, CMIT\, Drone Pilot\, AECOM\nMike Tecci\, E’03\, MS’08\, PE/SE LEED GA\, Simpson Gumpertz & Heger Inc. \nGraduate School\nMarch 10\, 2022 – 12:00 PM-1:00 PM ET \nHear from NUCEAO board members about their experiences applying to and completing graduate school: \nAllie Goldberg\, E’15\, Weston & Sampson\nAshley Kocsis\, MS’15\, PE\, Greenman-Pedersen\, Inc.\nEzgi Talarico\, E’14\, MBA’21\, Gilbane Building Company \nClosed Captioning.  Live closed captioning services for this event can be made available upon advanced request (2 weeks). \nThese events are complimentary but registration is required. \nAll registrants will receive an email with information on accessing this virtual event. \nRegister
URL:https://coe.northeastern.edu/event/whats-next-career-conversations-with-nuceao/2022-02-03/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220203T170000
DTEND;TZID=America/New_York:20220203T180000
DTSTAMP:20260507T185022
CREATED:20220131T143920Z
LAST-MODIFIED:20220131T143920Z
UID:30026-1643907600-1643911200@coe.northeastern.edu
SUMMARY:Creating a Poster-A CommLab Virtual Workshop
DESCRIPTION:Join the CommLab for an interactive workshop on creating a poster.  We will help you craft your story\, effectively plan for your audience and give you tips for mindful poster design.  Bring a poster at any stage of progress to get feedback from the CommLab Fellows or bring your ideas to get help on sketching out your design.  This is a great opportunity to get ready for your next conference or the COE PhD Expo on March 3. \nRegister for Zoom link.
URL:https://coe.northeastern.edu/event/creating-a-poster-a-commlab-virtual-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220204T150000
DTEND;TZID=America/New_York:20220204T160000
DTSTAMP:20260507T185022
CREATED:20220125T181755Z
LAST-MODIFIED:20220125T181755Z
UID:29953-1643986800-1643990400@coe.northeastern.edu
SUMMARY:Invisible disabilities: Mental health & navigating higher education
DESCRIPTION:Join Professors Christopher Parsons & Melissa Ferrick to learn how to navigate a career in higher education with invisible disabilities such as mental health on February 4th\, 3 p.m. to 4 p.m. at ISEC Room 655\, 6th floor or on Zoom at https://northeastern.zoom.us/j/2099280142 \n 
URL:https://coe.northeastern.edu/event/invisible-disabilities-mental-health-navigating-higher-education/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220204T170000
DTEND;TZID=America/New_York:20220204T180000
DTSTAMP:20260507T185022
CREATED:20220202T152348Z
LAST-MODIFIED:20220202T152348Z
UID:30112-1643994000-1643997600@coe.northeastern.edu
SUMMARY:Engineering at NERF - First Year Engineering Speaker Series
DESCRIPTION:When: Friday February 4th 5pm-6pm \nWhere: Churchill 103 \nWho: Justin Saccone\, Sr. Engineer @ Nerf (under Hasbro)
URL:https://coe.northeastern.edu/event/engineering-at-nerf-first-year-engineering-speaker-series/
LOCATION:103 Churchill\, 103 Churchill Hall\, 360 Huntington Ave\, Boston\, MA\, 02115\, United States
GEO:42.3387735;-71.0889235
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=103 Churchill 103 Churchill Hall 360 Huntington Ave Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=103 Churchill Hall\, 360 Huntington Ave:geo:-71.0889235,42.3387735
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220207T120000
DTEND;TZID=America/New_York:20220207T124500
DTSTAMP:20260507T185022
CREATED:20220131T210541Z
LAST-MODIFIED:20220131T210541Z
UID:30049-1644235200-1644237900@coe.northeastern.edu
SUMMARY:Library Webinar: Introduction to Citation Managers
DESCRIPTION:Start your spring 2022 research off on the right foot with Northeastern University Library’s series of online workshops and webinars! \nIn this webinar\, learn how to manage your references\, organize your research and quickly create citations and bibliographies using a citation management program. \nThe session will cover: an introduction to EndNote\, Refworks\, Mendeley and Zotero; similarities and differences between different citation management programs; how to choose the right citation manager for you; and how to install and use a citation manager. \nNote: it is recommended that you choose one citation manager to use\, as they are not meant to be used together. \nRegister here: bit.ly/citationmgmtworkshops \nAll times are in Eastern Time.
URL:https://coe.northeastern.edu/event/library-webinar-introduction-to-citation-managers-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220208T110000
DTEND;TZID=America/New_York:20220208T122000
DTSTAMP:20260507T185022
CREATED:20220207T191931Z
LAST-MODIFIED:20220207T191931Z
UID:30196-1644318000-1644322800@coe.northeastern.edu
SUMMARY:ECE Seminar: Sunwoo Lee
DESCRIPTION:ECE Seminar: Autonomous Microsystems Based on Heterogeneously Integrated CMOS for Biological Big Data \nSunwoo Lee \nLocation: 442 Dana or Zoom Link \nAbstract: Minimally invasive and chronic physiological monitoring can provide an effective means of disease prevention and early detection while the cumulative big data can unveil hidden patterns in our physiology. Yet\, current physiological monitoring tools are often bulky\, invasive\, and expensive\, limiting their sensitivity and applicability. In this talk\, I will discuss autonomous microsystems based on heterogeneously integrated CMOS\, a platform on which ideal physiological sensors and actuators can be built.\nA micro-scale optoelectronically transduced electrode (MOTE)\, an exemplary microsystem I have designed and built for tetherless neural recording\, is powered and communicates optically through a vertically integrated AlGaAs micro-scale light emitting diode (µLED)\, eliminating the needs for a battery or a RF coil; the MOTE is smaller than a human hair (~60 µm × 30 µm × 330 µm) and weighs about one 1 µg (cf. a grain of sand is about 670 µg). I will review the unique challenges and considerations in developing such heterogeneous systems in terms of device fabrication\, circuit design\, integration\, and handling/manipulation.\nWhile the MOTE is designed for neural recording\, its design methodologies can also be used to monitor other physiological parameters such as temperature\, pH\, glucose-level\, etc. I will introduce future autonomous microsystems with expanded modalities and how to interface them with existing wearables. As such microsystems become more accessible\, the resulting biological big data will help enable personalized healthcare and produce a physiological ‘digital twin’ (like the architectural digital twins of select cities) that can add a new dimension to epidemiological and aging studies. \nBio: Sunwoo Lee (Member\, IEEE) received the B.S. degree in Electrical and Computer Engineering from Cornell University\, Ithaca\, NY in 2010\, and the M.S. and Ph.D. degrees in Electrical Engineering from Columbia University\, New York\, NY in 2012 and 2016\, respectively\, working on graphene synthesis and graphene-based nano-electro-mechanical systems for signal processing and sensing applications. In 2016\, he joined the Molnar Group in the School of Electrical and Computer Engineering at Cornell University as a post-doctoral researcher and has been working on heterogeneously integrated CMOS for physiological monitoring. Sunwoo was a recipient of Qualcomm Innovation Fellowship (QInF) 2012 as well as QInF 2013\, and a recipient of Pi-Star Award for Young Researcher Presentation at CARBONHAGEN 2015.
URL:https://coe.northeastern.edu/event/ece-seminar-sunwoo-lee/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=442 Dana 360 Huntington Ave 442 DA Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, 442 DA:geo:-71.0923044,42.3387508
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T103000
DTEND;TZID=America/New_York:20220209T120000
DTSTAMP:20260507T185022
CREATED:20220209T163347Z
LAST-MODIFIED:20220209T163347Z
UID:30211-1644402600-1644408000@coe.northeastern.edu
SUMMARY:ECE Seminar: Qiushi Guo
DESCRIPTION:ECE Seminar: Emergent Active Photonic Platforms for Next-generation Mid-infrared and Ultrafast Photonics \nQiushi Guo \nLocation: 442 Dana or Zoom Link \nAbstract: As two basic properties of light\, wavelength and timescale are central to numerous photonic applications. Compared to visible and near-infrared\, the longer wavelength mid-infrared spectral regime contains unique thermal visual information and chemical fingerprints of the environment.  On a different front\, femtosecond light sources and systems can enable ultrafast information processing\, sensing\, and computing. Yet\, current chip-scale photonic devices and systems are facing tremendous challenges in detecting\, generating\, and processing light of long wavelength and ultrashort timescale. Overcoming these challenges requires new materials and clever device architectures\, and these technologies stand poised to revolutionize fields such as biomedical sensing\, free-space communication\, and photonic computing in both classical and quantum domains. \nIn this talk\, I will show that by engineering the carrier and nonlinear dynamics in emergent active photonic materials\, we can detect photons beyond the regimes accessible to conventional laser sources and detectors\, and process information in an ultrafast manner. In the first half of my talk\, I will first briefly introduce the discovery of black phosphorus (BP) mid-infrared photonics\, highlighting the world’s first BP mid-infrared detectors with high internal gain\, as well as BP’s electrically tunable spectral response due to its unique bandgap tunability. Then\, I will discuss a new strategy for detecting longer wavelength mid-infrared radiations at 12 µm. This is achieved by harnessing the intrinsic mid-infrared plasmons in large-scale graphene. \nThe second half of my talk will cover my recent work on integrated lithium niobate (LN) ultrafast photonics in both classical and quantum domains. I will discuss the realization of ultra-strong nonlinear optical interactions and dynamics in dispersion-engineered and quasi-phase-matched integrated LN devices\, which have enabled 100 dB/cm optical parametric amplification\, ultra-wide bandwidth quantum squeezing\, as well as femtosecond and femtojoule all-optical switching. Finally\, I will outline promising pathways toward realizing chip-scale ultrafast light sources and microsystems for on-chip spectroscopic sensing\, mid-infrared free-space communication\, coherent all-optical computing\, and next-generation thermal vision technologies. \nBio: Dr. Qiushi Guo is currently a postdoctoral scholar at the California Institute of Technology with Prof. Alireza Marandi. He received his Ph.D. in Electrical Engineering from Yale University in Dec. 2019\, advised by Prof. Fengnian Xia. He received his M.S. degree in Electrical Engineering from the University of Pennsylvania in 2014\, and his B.S. degree in Electrical Engineering from Xi’an Jiaotong University in 2012. Qiushi is the winner of the 2021 Henry Prentiss Becton Graduate Prize for his exceptional research achievements at Yale University. His research interests include integrated nonlinear and quantum photonics\, mid-infrared photonics\, and 2-D materials optoelectronics. He has published 36 peer-reviewed research papers in leading scientific journals with citations more than 2700 times. He is serving on the editorial board of the journal Micromachines.
URL:https://coe.northeastern.edu/event/ece-seminar-qiushi-guo/
LOCATION:442 Dana\, 360 Huntington Ave\, 442 DA\, Boston\, MA\, 02115\, United States
GEO:42.3387508;-71.0923044
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=442 Dana 360 Huntington Ave 442 DA Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, 442 DA:geo:-71.0923044,42.3387508
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T124500
DTSTAMP:20260507T185022
CREATED:20220131T210454Z
LAST-MODIFIED:20220131T210454Z
UID:30062-1644408000-1644410700@coe.northeastern.edu
SUMMARY:Library Webinar: Introduction to Citation Managers
DESCRIPTION:Start your spring 2022 research off on the right foot with Northeastern University Library’s series of online workshops and webinars! \nIn this webinar\, learn how to manage your references\, organize your research and quickly create citations and bibliographies using a citation management program. \nThe session will cover: an introduction to EndNote\, Refworks\, Mendeley and Zotero; similarities and differences between different citation management programs; how to choose the right citation manager for you; and how to install and use a citation manager. \nNote: it is recommended that you choose one citation manager to use\, as they are not meant to be used together. \nRegister here: bit.ly/citationmgmtworkshops \nAll times are in Eastern Time.
URL:https://coe.northeastern.edu/event/library-webinar-introduction-to-citation-managers/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260507T185022
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:20260507T185022
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
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:20220209T120000
DTEND;TZID=America/New_York:20220209T130000
DTSTAMP:20260507T185022
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=442 Dana 360 Huntington Ave 442 DA Boston MA 02115 United States;X-APPLE-RADIUS=500;X-TITLE=360 Huntington Ave\, 442 DA:geo:-71.0923044,42.3387508
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220209T150000
DTEND;TZID=America/New_York:20220209T160000
DTSTAMP:20260507T185022
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/
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DTSTART;TZID=America/New_York:20220210T113000
DTEND;TZID=America/New_York:20220210T123000
DTSTAMP:20260507T185022
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/
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