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DTSTART;VALUE=DATE:20240320
DTEND;VALUE=DATE:20240325
DTSTAMP:20260405T010733
CREATED:20240108T145815Z
LAST-MODIFIED:20240108T145815Z
UID:41152-1710892800-1711324799@coe.northeastern.edu
SUMMARY:NSBE Annual Convention
DESCRIPTION:Join COE Graduate Admissions at the National Society of Black Engineers’ 50th Annual Convention in Atlanta\, GA! Ask your questions about our graduate engineering programs across the U.S. and Canada during the Career Fair on March 21-22. We look forward to meeting you there!
URL:https://coe.northeastern.edu/event/nsbe-annual-convention/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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DTSTART;TZID=America/New_York:20240321T120000
DTEND;TZID=America/New_York:20240321T130000
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CREATED:20240307T192131Z
LAST-MODIFIED:20240307T192131Z
UID:42700-1711022400-1711026000@coe.northeastern.edu
SUMMARY:Negotiating Job Offers
DESCRIPTION:Are you ready to take your career to the next level? Don’t miss this opportunity to gain valuable insights into effectively negotiating job offers. \nIn this engaging session\, Anne Grieves will guide you through the process of communicating your worth to employers and provide expert tips for negotiating your salary and benefits package. Whether you’re entering the workforce for the first time or looking for tips for the future\, mastering the art of negotiation is key to securing the best possible opportunities. \nRegister now to reserve your spot. \nHosted by the Office of the Provost
URL:https://coe.northeastern.edu/event/negotiating-job-offers/
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LAST-MODIFIED:20240319T141109Z
UID:42910-1711022400-1711027800@coe.northeastern.edu
SUMMARY:Julian Gutierrez PhD Dissertation Defense
DESCRIPTION:Announcing:\nPhD Dissertation Defense \nName:\nJulian Gutierrez \nTitle:\nTowards Real-Time Safe Flight Paths for Urban Air Mobility \nDate:\n3/21/2024 \nTime:\n12:00:00 PM \nLocation: Zoom \nCommittee Members:\nProf. David Kaeli (Advisor)\nProf. Pau Closas\nDr. Evan Dill (NASA)\nDr. Natasha Neogi (NASA) \nAbstract:\nThe emergence and development of advanced technologies and vehicle types have created a growing demand for introducing new forms of flight operations. These new and increasingly complex operational paradigms\, such as Advanced and Urban Air Mobility (AAM/UAM)\, present regulatory authorities and the aviation community with the challenge of finding methods to integrate these emerging operations without significant additional risk to pedestrians and infrastructure. Predictive and autonomous risk mitigation capabilities become critical to meet this challenge. However\, urban environments experience effects that are computationally expensive to model\, limiting conventional aviation concepts\, policy\, and risk prediction tools from being effectively translated into this space. With the emergence of High-Performance Computing (HPC) ecosystems in the last two decades\, we can use these software and hardware capabilities to help bridge the gap between real-time predictive responses and modeling accuracy. \nIn this dissertation we first present a simulation framework to estimate the quality of Global Navigation Satellite System (GNSS) performance for autonomous aircraft in urban environments. We propose a new algorithm designed for HPC to accelerate modeling the characteristic effects of dense urban canyons on GNSS\, allowing the extension of established GNSS integrity techniques into urban navigation. Additionally\, we provide a thorough validation of the simulator\, which proves high-accuracy modeling when compared to sensors in the real world. Second\, we use this simulation framework to provide situational awareness when processing the raw output of a GNSS sensor. This effort focuses on multipath mitigation\, which reduces the error in the estimated position solution. Third\, we use this simulation framework as the input into a new 4D path-planning algorithm based on an adaptation of the Bellman-Ford algorithm. HPC techniques are employed to accelerate the algorithm to produce flight paths that minimize exposure to GNSS risks. We evaluate the computational cost of satellite availability fluctuations by prioritizing events when satellite availability changes as triggers for these updates.
URL:https://coe.northeastern.edu/event/julian-gutierrez-phd-dissertation-defense/
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