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X-WR-CALDESC:Events for Northeastern University College of Engineering
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210104
DTEND;VALUE=DATE:20210201
DTSTAMP:20260404T155457
CREATED:20201208T145218Z
LAST-MODIFIED:20201208T145218Z
UID:23430-1609718400-1612137599@coe.northeastern.edu
SUMMARY:Lifelong Learning: On Demand – Innovative Uses of Artificial Intelligence
DESCRIPTION:The Office of Alumni Relations is hosting “Lifelong Learning: On Demand – Innovative Uses of Artificial Intelligence”. Be introduced to a few innovative uses of AI in the fields of healthcare\, computers\, and robotics. Learn from Northeastern faculty experts Craig Johnson and Taskin Padir. This complimentary\, online program is available to you on demand from January 4 to 31. An opportunity to earn a non-credit digital badge is available. \nRegister Now
URL:https://coe.northeastern.edu/event/lifelong-learning-on-demand-innovative-uses-of-artificial-intelligence/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20210107
DTEND;VALUE=DATE:20210118
DTSTAMP:20260404T155457
CREATED:20201103T160300Z
LAST-MODIFIED:20210111T165144Z
UID:23023-1609977600-1610927999@coe.northeastern.edu
SUMMARY:Program-Specific Orientations
DESCRIPTION:Admitted students to Spring 2021 entry are invited to hold their calendars for their program-specific orientations which will take place between January 7-January 17th. \nOrientation Schedule
URL:https://coe.northeastern.edu/event/program-specific-orientations/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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DTSTART;TZID=America/New_York:20210115T083000
DTEND;TZID=America/New_York:20210115T103000
DTSTAMP:20260404T155457
CREATED:20210111T201015Z
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UID:23678-1610699400-1610706600@coe.northeastern.edu
SUMMARY:Uncertainty Quantification and Dynamic Response of Buildings and Tower Structures under Stationary and Non-stationary Wind Loads
DESCRIPTION:Luca Caracoglia \nDepartment of Civil and Environmental Engineering \nNortheastern University\, Boston\, Massachusetts\, USA \nlucac@coe.neu.edu \n  \nDate: Friday January 15th\, 2:30-4:30 pm (CET)\, 8:30-10:30am (EST) \nLink: https://teams.microsoft.com/l/meetup-join/19%3a864f3dfe8993442ca116fe24bd231662%40thread.tacv2/1610092407076?context=%7b%22Tid%22%3a%226e6ade15-296c-4224-ac58-1c8ec2fd53a8%22%2c%22Oid%22%3a%226d036117-bf26-4ee2-95fa-124ff7fb3f76%22%7d \nAbstract: This presentation will review recent study activities examining the response of slender\, vertical structures under the effects of destructive wind loads. These large-period\, low-damping structures are sensitive to fluid-structure interaction and susceptible to damage induced by wind loads. The common feature of the research is the quantification of uncertain wind loads\, associated with both stationary synoptic winds and localized\, nonstationary events. The former are typical of large extra-tropical depressions and tropical cyclonic phenomena (at a scale of several hundred kilometers); the latter include thunderstorm downbursts and tornadoes (less than one kilometer in diameter). The research activities have been devoted to the examination of several methodologies for predicting the structural response by accounting for modeling uncertainty and measurement “errors”\, e.g. loads evaluated by wind tunnel tests. The investigated methods are both analytical (stochastic calculus) and numerical (Monte-Carlo sampling). The ultimate goal of the research is the evaluation of wind-related damage over time in the context of risk analysis. \nThis presentation will include characterization of the dynamic response through multi-variable probability density functions and examination of lifecycle wind-related damage through intervention cost analysis. Examples will consider interactions on the envelope of tall buildings under various wind load scenarios and aeroelastic vibration causing damages primarily to nonstructural elements. The results will demonstrate that it is possible to predict the structural response and its consequences\, even in the presence of large modeling and experimental load variability\, provided that uncertainty propagation is extended to all the stages of structural analysis. These stages should possibly consider wind field simulation\, wind-pressure load assessment and fluid-structure interaction. \nBio-sketch: Luca Caracoglia is an Associate Professor in the Department of Civil and Environmental Engineering of Northeastern University\, Boston\, Massachusetts\, USA. He joined Northeastern University in 2005. Prior to this appointment\, he was a post-doctoral fellow in the Department of Civil Engineering at Johns Hopkins University\, Baltimore\, Maryland (USA) in 2001-2002 and a post-doctoral research associate in the Department of Civil and Environmental Engineering at the University of Illinois (Urbana-Champaign\, USA) in 2002-2004. He received his Ph.D. in Structural Engineering from the University of Trieste\, Italy in 2001. His interests are in structural dynamics\, random vibration\, wind engineering\, fluid-structure interaction of civil engineering structures\, nonlinear cable network dynamics\, energy harvesting systems in wind energy. Luca Caracoglia received the NSF-CAREER Award for young investigators in 2009. Luca Caracoglia was elected Fellow of the American Society of Civil Engineers in 2020.
URL:https://coe.northeastern.edu/event/uncertainty-quantification-and-dynamic-response-of-buildings-and-tower-structures-under-stationary-and-non-stationary-wind-loads/
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DTSTART;TZID=America/New_York:20210115T110000
DTEND;TZID=America/New_York:20210115T120000
DTSTAMP:20260404T155457
CREATED:20210114T164057Z
LAST-MODIFIED:20210114T164057Z
UID:23785-1610708400-1610712000@coe.northeastern.edu
SUMMARY:ECE PhD Proposal Review: Lorenzo Bertizzolo
DESCRIPTION:PhD Proposal Review: Software-Defined Wireless Networking for 5G and Beyond: From Indoor Cells to Distributed Aerial Swarms \nLorenzo Bertizzolo \nLocation: MS Teams Link \nAbstract: While Software-defined Networking is a consolidated and widely adopted concept in fixed infrastructure\, its adoption to the wireless domain has been limited by some fundamental challenges. Different from wired deployments\, wireless stacks are characterized by tight inter-dependencies among their protocol stack layers (known as vertical coupling) and the nodes sharing the wireless channel (horizontal coupling). These effects combined undermine the implementation of i) Control plane / data plane separation\, and ii) Control of multiple data planes from a separate controller; the two founding principles of SDN. Recent developments in spectrum access technology\, however\, made it possible to reconfigure multiple layers of the wireless stack at once. This paved the way for the development of cross-layer algorithms toward the implementation of control plane / data plane separation for wireless. Moreover\, cross-layer algorithms can be employed together with distributed control theory to implement distributed and scalable control for wireless networks\, this way overcoming the difficulties of implementing separate control for multiple data planes.\nThis proposal exploits full-stack programmability to propose\, design\, and implement new cross-layer algorithms that reconfigure the wireless stack at multiple layers and in real-time. Through the systematic use of cross-layer optimization\, closed-loop control\, and dynamic network adaptation\, this proposal contributes to the development of a wide range of technological innovations for spectrum access\, to bring the benefits of Software-defined networking to the wireless domain. We present a closed-loop PHY/MAC cross-layer control algorithm to enable spectrally-efficient OFDM spectrum access in Wi-Fi populated bands. Then\, we exploit the technological innovations of a 5G Open-RAN infrastructure and propose a control system that enables broadband 5G connectivity for aerial cellular users that dynamically adapts to the changing network conditions like the time-changing distribution of pedestrian users in the surrounding. At millimeter-wave frequencies\, we propose a cross-domain control algorithm that reduces the initial access latency in standalone high-frequency systems and obtains higher spectral efficiency for aerial links. Finally\, we empower the SDN paradigm to bring network management to distributed aerial swarms. Through full-stack software programmability and programmable motion control\, we implement scalable wireless network management for distributed aerial swarms.\nWe conclude the proposal with an overview of the requirements and design principles for next-generation wireless testing platforms to support software-programmable spectrum access. \n 
URL:https://coe.northeastern.edu/event/ece-phd-proposal-review-lorenzo-bertizzolo/
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