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SUMMARY:Deadline for student grants for projects in Emerging Market - UG\, PG and PhD students welcome to apply!!
DESCRIPTION:CEM is a leading research hub on issues facing public and private organizations in emerging economies. It has over 60 faculty fellows across Northeastern and supports student immersion in emerging markets through field studies\, co-ops\, startups\, conferences\, and research projects. \nCEM is currently accepting applicants to our twice-annual student grants program\, which awards grants ranging from $1\,000 to $3\,000 to undergraduate and graduate students enrolled in full-time programs to conduct research\, organize a conference\, create a startup\, participate in a service-learning project\, or pursue an innovative project that addresses pressing problems in one or more emerging markets. Applications are entertained on a rolling basis and are open to students from all colleges and schools at Northeastern U. Feel free to reach out to dhir.d@northeastern.edu with any questions. \nDeadline for Application: March 31\, 2023
URL:https://coe.northeastern.edu/event/deadline-for-student-grants-for-projects-in-emerging-market-ug-pg-and-phd-students-welcome-to-apply/
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UID:36259-1680516000-1680519600@coe.northeastern.edu
SUMMARY:Jared Miller Ph.D Defense/Proposal Announcement
DESCRIPTION:“Safety Analysis for Nonlinear and Time-Delay Systems using Occupation Measures” \nInternational Village 022 \nCommittee Members:\nProf. Mario Sznaier (Advisor)\nProf. Octavia Camps\nProf. Bahram Shafai\nProf. Eduardo Sontag\nProf. Didier Henrion (LAAS-CNRS) \nAbstract:\nThis research extends an occupation measure framework to analyze the behavior and safety of dynamical systems. A motivating application of trajectory analysis is in peak estimation\, which finds the extreme values of a state function along trajectories. Examples of peak estimation include finding the maximum height of a wave\, voltage on a power line\, speed of a vehicle\, and infected population in an epidemic. Peak estimation can be applied towards safety quantification\, such as by measuring the safety of a trajectory by its distance of closest approach to an unsafe set. \nA finite-dimensional but nonconvex peak estimation problem can be converted into an infinite-dimensional linear program (LP) in measures\, which is in turn bounded by a convergent sequence of semidefinite programs. The LP is posed in terms of an initial\, a terminal\, and an occupational measure\, where the occupation measure contains all possible information about the dynamical systems’ trajectories. This research applies measure-based methods towards safety quantification (e.g. distance estimation\, control effort needed to crash)\, hybrid systems\, bounded-uncertain systems (including for data-driven analysis)\, stochastic systems\, and time-delay systems. The modularity of this measure-based framework allows for multiple problem variations to be applied simultaneously (e.g. distance estimation under time-delays)\, and for optimization models to be synthesized using MATLAB. Solving these optimization problems results in certifiable guarantees on system performance and behavior.
URL:https://coe.northeastern.edu/event/jared-miller-ph-d-defense-proposal-announcement/
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