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Events for October 30, 2024
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EiS Communications Hub - Tutoring for Engineering Ph.D. StudentsWed, Oct 30, 2024 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come to the EiS Communications Hub for one-on-one tutoring from Viterbi faculty for Ph.D. writing and speaking projects!
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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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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Computer Science General Faculty Meeting
Wed, Oct 30, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty and staff only. Event details emailed directly to attendees.
Location: Ginsburg Hall (GCS) - 107
Audiences: Invited Faculty Only
Contact: Julia Mittenberg-Beirao
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Language Models as Temporary Training Wheels to Improve Mental Health
Wed, Oct 30, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Tim Althoff, Assistant Professor, Allen School of Computer Science - University of Washington
Talk Title: Language Models as Temporary Training Wheels to Improve Mental Health
Abstract: Access to mental health care falls short of meeting the significant need. More than one billion individuals are affected by mental health conditions, with the majority not receiving the necessary treatment. In this talk, I will describe how human-AI collaboration, critically enabled by language models, can improve access to and quality of mental health support. Language models have the potential to act as temporary training wheels providing immediate support and guidance to help individuals develop essential mental health skills. This approach emphasizes the importance of using these tools as initial aids rather than long-term crutches. By offering structured assistance, practice, and feedback, language models can help individuals and professionals learn skills, such as cognitive reframing, emotional regulation, and conflict resolution. However, the ultimate goal is for individuals to gradually transition away from dependence on these models, fostering sustained skill development and long-term well-being. This talk will describe how language models can be developed towards these aims and evaluate their effectiveness across multiple randomized trials and real-world deployments with over 150,000 participants.
Learn to challenge unhelpful thinking with your personal AI assistant at https://bit.ly/changing-thoughts
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Register for Zoom webinar here: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucA
Biography: Tim Althoff is an associate professor in the Allen School of Computer Science & Engineering at the University of Washington. Tim’s research seeks to better understand and empower people through data and computation. His AI research has directly improved mental health services utilized by over ten million people and informed federal policy. Tim holds a Ph.D. degree from the Computer Science Department at Stanford University. His work has received various awards including WWW, 2x ICWSM, ACL, UbiComp, and IMIA Best Paper Awards, the SIGKDD Dissertation Award 2019, and an NSF CAREER Award. Tim’s research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
Webcast: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucALocation: Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucA
Audiences: Everyone Is Invited
Contact: Hailey Winetrobe Nadel, MPH, CHES
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
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PhD Thesis Proposal - Yi Zheng
Wed, Oct 30, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Heuristic Search Techniques for Virtual Network Embedding
Date: October 30, 2024
Time: 2:00 pm to 3:00 pm.
Location: EEB 403
Committee Members: Satish Kumar Thittamaranahalli (chair), Sven Koenig (main advisor), Ramesh Govindan, Bhaskar Krishnamachari, Ketan Dungarshi Savla
Abstract: Virtualization is the mechanism of creating virtual representations of physical resources and is widely used in data centers and cloud computing services. It relies on the Virtual Network Embedding (VNE) problem: the cornerstone task of properly allocating the physical resources on a network to satisfy virtual requests for resources under various constraints while ensuring the quality of service. Combinatorially, the VNE problem is NP-hard to solve optimally. I hypothesize that the VNE problem can be solved efficiently and effectively in practice with the help of AI search techniques imported from the Multi-Agent Path Finding (MAPF) domain. My current work in this direction has shown that the resulting solvers can significantly outperform other state-of-the-art VNE algorithms in both solution quality and scalability. Overall, my work paves the way for using AI search techniques to address critical combinatorial problems in network resource management.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 403
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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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
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WIE Crowdstrike- Making waves in Cybersecurity
Wed, Oct 30, 2024 @ 07:00 PM - 08:00 PM
USC Viterbi School of Engineering
Workshops & Infosessions
Are you interested in a career in Consulting, UI Engineering, Threat Intelligence or Program Management? Join us with CrowdStrike to hear from women making waves in the cybersecurity, sharing their expertise, insights, and experiences. Dinner will be provided!
Location: Sign into EngageSC to View Location
Audiences: Everyone Is Invited
Contact: Thelma Federico Zaragoza
Event Link: https://engage.usc.edu/WIE/rsvp?id=400617
