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Events for October 30, 2024
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IEEE-GRSS-APS-SSCS Joint seminar - Stefano Maci, Wed. Oct. 30th at 10am in RTH 211 and Zoom
Wed, Oct 30, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Stefano Maci, IEEE AP-S Past President, University of Sienna, Italy
Talk Title: Metasurface Antennas
Series: IEEE GRSS-APS-SSCS
Abstract: Metasurfaces belong to the category of thin metamaterials and find applications across a wide frequency range, from microwaves to optical frequencies, for developing innovative electromagnetic engineering devices. These surfaces are created by densely arranging small elements on or etching them into a dielectric substrate in a locally periodic distribution. By adjusting the dimensions of these elements while maintaining sub-wavelength 2D periodicity, a pixelated visual appearance and an electromagnetic modulation of the equivalent local impedance boundary conditions (IBC) are achieved. The manipulation of IBC allows for localized modifications in the dispersion equation, influencing the local wavevector while maintaining a constant operating frequency. This capability enables the transformation of surface or guided waves into various wavefield configurations with specified properties. This presentation will focus on the control of both surface waves and space waves, showcasing examples such as the design of high-gain, low cross-polarization antennas, multibeam antennas, and scanning beam flat lenses. Emphasis will be given to space applications. The discussion will also delve into the third generation of adaptive metasurfaces (MTSs), featuring dynamically reconfigurable boundary conditions. This advancement opens possibilities for exploring new perspectives in the development of next-generation wireless communication systems.
Biography: Prof. Stefano Maci is a Professor at the University of Siena (UNISI). Since 2000, he has been P.I. of 10 research projects funded by the European Union (EU) and by the European Space Agency (ESA). He is a Fellow of IEEE since 2004. In 2004 he founded the European School of Antennas (ESoA), a PhD school that presently comprises 35 courses on Antennas, Propagation, and Electromagnetic Theory, and 200 teachers, among them 20 IEEE Fellow. He has been advisor of 40 PhD students. He has been former member of IEEE Antennas and Propagation Society (AP-S) AdCom, the Chair of the Award Committee of the IEEE AP-S, member of the AP Executive Board of IET (UK), Distinguished Lecturer of IEEE and of EurAAP. He was recipient of several prizes and awards, among which the EurAAP Award 2014, the Chen-To Tai Distinguished Educator award 2016, of the Shelkunoff Transaction Prize in 2015, and of the URSI Dellinger Gold Medal in 2020. He is presently Director of ESoA. He has been TPC Chair of the METAMATERIAL 2020 and and General Chair of EuCAP 2023. He was the president of the IEEE Antennas and Propagation Society 2023. In the last ten years he has been invited 60 times as key-note speaker in international conferences. His research activity is documented in 200 papers published in international journals, (among which 100 on IEEE journals), 10 book chapters, and about 450 papers in proceedings of international conferences.
Host: IEEE GRSS-APS-SSCS Joint Student Chapter
More Info: Meeting ID: 925 1030 8883, Passcode: 613281
More Information: IEEE Stefano Maci.pdf
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: Meeting ID: 925 1030 8883, Passcode: 613281
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AAI-CCI-MHI Seminar on CPS
Wed, Oct 30, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Anushri Dixit, Assistant Professor in the Department of Mechanical & Aerospace Engineering at the University of California, Los Angeles
Talk Title: Perceive with Confidence: Statistical Safety Assurances for Vision-based Navigation
Series: EE598 Seminar Series
Abstract: Significant strides in perception over the past few years have enabled robotic systems to interpret and interact with the world in increasingly versatile ways. The large, often multi-modal, datasets that are used to train modern perception systems endow robots with capabilities for scene understanding like object detection and segmentation. However, the safe integration and reliability of these learned perception models for robotic applications still remains in question due to their failures in unfamiliar environments. In this talk, I will discuss our framework, Perceive with Confidence (PwC), for rigorously quantifying the uncertainty of a pre-trained obstacle detection system in a way that provides a formal assurance on correctness and safety for planning applications. This is achieved by utilizing a technique called conformal prediction to calibrate the perceptual outputs while ensuring generalization to novel environments. I will provide experimental validations of PwC’s formal assurances for indoor navigation applications on the Unitree Go1 quadruped.
Biography: Anushri Dixit is an Assistant Professor in the Department of Mechanical & Aerospace Engineering at the University of California, Los Angeles. Prior to UCLA, she was a postdoctoral researcher at Princeton University. She received her Ph.D. in Control and Dynamical Systems from California Institute of Technology in 2023 and her B.S. in Electrical Engineering from Georgia Institute of Technology in 2017. Her research focuses on motion planning and control of robots in unstructured environments while accounting for uncertainty in a principled manner. Her work on risk-aware methodologies for planning has been deployed on various robotic platforms as a part of Team CoSTAR’s effort in the DARPA Subterranean Challenge. She has received the Outstanding Student Paper Award at the Conference on Decision and Control, Best Student Paper Award at the Conference of Robot Learning, and was selected as a Rising Star in Data Science by The University of Chicago.
Host: Stephen Tu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
