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DTSTART;TZID=America/New_York:20221208T140000
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DTSTAMP:20260414T053407
CREATED:20221202T201226Z
LAST-MODIFIED:20221202T201226Z
UID:6014-1670508000-1670515200@ece.northeastern.edu
SUMMARY:Chuangtang Wang's PhD Proposal Review
DESCRIPTION:“All-optical Control of Magnetization in Nanostructures” \nCommittee: \nProf. Yongmin Liu (Advisor) \nProf. Don Heiman \nProf. Nian X. Sun \nAbstract:\nThe switching of magnetization by a femtosecond laser within several picoseconds has recently gained substantial attention\, because it promises next-generation\, energy-efficient\, and high-rate data storage technology. One of the most intriguing demonstrations is the helicity-dependent switching (HD-AOS) of a ferromagnet\, in which the magnetization states can be deterministically written and erased using left- and right-circularly polarized light. However\, the challenge is to realize a single-pulse HD-AOS. Controlling the spin angular momentum transfer from light to magnetic materials in nanostructures is the key to advance this field.\nIn my thesis research work\, I will study the all-optical control of magnetization in different nanostructures\, aiming to better understand the underlying mechanisms of HD-AOD and accelerate the technology development. Firstly\, helicity-driven magnetization dynamics in heavy metal/ferromagnet Au(Pt)/Co bilayer by the optical spin transfer torque (OSTT) is experimentally explored. The wavelength-dependent measurement of OSTT reveals that the quantum efficiency of OSTT strongly depends on the interface electronic structure and pump energy. The Inverse Faraday effect (IFE)\, which is believed to be the driving mechanism of HD-AOS\, is subsequently investigated in an Au thin film. The dependence of IFE on photon energy implies that the orbital angular momentum contribution to IFE is dominated by the excitation of laser pulses. To the best of our knowledge\, it is the first demonstration of this phenomenon. Lastly\, I will discuss our recent results on plasmonics-enhanced all-optical control of magnetization. Light can be tightly confined in plasmonic structures\, which can potentially enable low-energy and high-density magnetic data storage.
URL:https://ece.northeastern.edu/event/chuangtang-wangs-phd-proposal-review/
LOCATION:138 ISEC\, 360 Huntington Ave\, 138 ISEC\, Boston\, MA\, 02115\, United States
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DTSTART;TZID=America/New_York:20200226T110000
DTEND;TZID=America/New_York:20200226T120000
DTSTAMP:20260414T053407
CREATED:20200220T195112Z
LAST-MODIFIED:20200220T195112Z
UID:4117-1582714800-1582718400@ece.northeastern.edu
SUMMARY:Electrical and Computer Engineering Seminar: Lili Su
DESCRIPTION:Location: ISEC 138 \nLearning with Distributed Systems: Adversary-Resilience and Neural Networks \nAbstract: \nIn this talk\, Su will first talk about how to secure Federated Learning (FL) against adversarial faults.\nFL is a new distributed learning paradigm proposed by Google. The goal of FL is to enable the cloud (i.e.\, the learner) to train a model without collecting the training data from users’ mobile devices. Compared with traditional learning\, FL suffers serious security issues and several practical constraints call for new security strategies. Towards quantitative and systematic insights into the impacts of those security issues\, Su and her team formulated and studied the problem of Byzantine-resilient Federated Learning. Su proposed two robust learning rules that secure gradient descent against Byzantine faults. The estimation error achieved under our more recently proposed rule is order-optimal in the minimax sense.\nThen\, she will briefly talk about her recent results on neural networks\, including both biological and artificial neural networks. Notably\, her results on the artificial neural networks (i.e.\, training over-parameterized 2-layer neural networks) improved the state-of-the-art. In particular\, they showed that nearly-linear network over-parameterization is sufficient for the global convergence of gradient descent. \nBio:\nLili Su is a postdoc in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT\, hosted by Professor Nancy Lynch. She received a Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2017\, supervised by Professor Nitin H. Vaidya. Her research intersects distributed systems\, learning\, security\, and brain computing. She was the runner-up for the Best Student Paper Award at DISC 2016\, and she received the 2015 Best Student Paper Award at SSS 2015. She received UIUC’s Sundaram Seshu International Student Fellowship for 2016\, and was invited to participate in Rising Stars in EECS (2018). She has served on TPC for several conferences including ICDCS and ICDCN
URL:https://ece.northeastern.edu/event/electrical-and-computer-engineering-seminar-lili-su/
LOCATION:138 ISEC\, 360 Huntington Ave\, 138 ISEC\, Boston\, MA\, 02115\, United States
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DTSTART;TZID=America/New_York:20200218T103000
DTEND;TZID=America/New_York:20200218T113000
DTSTAMP:20260414T053407
CREATED:20200203T211723Z
LAST-MODIFIED:20200215T035349Z
UID:4072-1582021800-1582025400@ece.northeastern.edu
SUMMARY:Engineers Week: Harnessing Metamaterials to Manipulate Electromagnetic and Acoustic Waves
DESCRIPTION:Dr. Xin Zhang\, Professor\, Boston University \nLocation: 138 ISEC \nMetamaterials have been intensively studied and applied to a broad range of practical applications ranging from wireless communications to magnetic resonance imaging. Photonic metamaterials consisting of subwavelength “meta-atoms” have received enormous interest due to their extraordinary and unprecedented optical properties. Specifically\, the effective permittivity and permeability can be tailored and reconfigured to construct metamaterial devices by modulating or actuating the constituent meta-atoms. By leveraging microelectromechanical system (MEMS) technology\, we have developed functional metamaterial devices to manipulate and detect the terahertz waves. In addition\, metamaterials exhibit extraordinary near-field properties to control electric and magnetic field distribution. I will introduce our progress on intelligent magnetic metamaterials to enhance the signal to noise ratio of magnetic resonance imaging. Besides electromagnetic metamaterials\, acoustic metamaterials for sound wave shaping and silencing will also be discussed. \nXin Zhang received her Ph.D. in Mechanical Engineering from the Hong Kong University of Science and Technology (HKUST). She was a Postdoctoral Researcher and then a Research Scientist with the Massachusetts Institute of Technology (MIT). She then joined Boston University (BU) as a Faculty Member\, where she is currently a Professor of Mechanical Engineering\, Electrical & Computer Engineering\, Biomedical Engineering\, Materials Science & Engineering\, and the Photonics Center. Dr. Zhang is the Associate Director of the Boston University Nanotechnology Innovation Center and Director of both the NSF Research Experiences for Undergraduates (REU) and Teachers (RET) Sites in Integrated Nanomanufacturing at Boston University. \nDr. Zhang’s research interests are in the broad areas of microelectromechanical systems (MEMS or microsystems) and metamaterials (acoustic\, electromagnetic\, nonlinear\, photonic\, terahertz\, tunable\, etc.). She has published 160+ papers in interdisciplinary journals\, become both US and EU-US National Academy of Engineering Invitee (ages: 30-45)\, and is an Elected Fellow of AAAS\, AIMBE\, APS\, ASME\, IEEE\, NAI\, and OSA\, and Associate Fellow of AIAA. \nHosted by the Electrical and Computer Engineering Department
URL:https://ece.northeastern.edu/event/engineers-week-harnessing-metamaterials-to-manipulate-electromagnetic-and-acoustic-waves/
LOCATION:138 ISEC\, 360 Huntington Ave\, 138 ISEC\, Boston\, MA\, 02115\, United States
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