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Events for December 06, 2024
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Fri, Dec 06, 2024 @ 10:00 AM - 02:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come to the EiS Hub for one-on-one tutoring from Viterbi faculty for Ph.D. writing and speaking tasks!
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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PhD Defense
Fri, Dec 06, 2024 @ 10:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Talk Title: Efficient and Accurate 3D FISP=MRF at 0.55 T
Abstract: Magnetic Resonance Fingerprinting (MRF) are a set of popular multiparametric quantitative MRI techniques. With the resurgence of interest in mid- and low-field MRI, such as the 0.55 T MR system in Dynamic Imaging Science Center in USC, these techniques have gained growing research and clinical tractions. At 0.55 T, a basic fast imaging with steady-state free precession (FISP)-MRF approach has been shown feasible with promising but unexplored improvements, however, also with substantial quantification biases from reference measurements and literature values. Therefore, how to perform this approach in a more Signal-to-Noise Ratio(SNR) efficiency optimized way and how to improve its quantification accuracy have become interesting research problems.
In this dissertation, I propose a more efficient and accuracy FISP-MRF approach at 0.55 T. I start with improving 0.55 T FISP-MRF SNR efficiency and the approach produces more precise results (up to 50% smaller standard deviation values) but temporarily with unaddressed biases. It includes higher readout duty cycle, constrained reconstruction and artifacts mitigation algorithms. Then, I focus on refining RF excitation designs, which helps to partially suppress the sources of bias, resulting in more accurate quantification (~75% less bias).
Biography: Zhibo Zhu is a PhD candidate in Electrical and Computer Engineering in University of Southern California, advised by Prof. Krishna S. Nayak. He received Bachelor of Science degree in Nanjing University of Post and Telecommunication in 2015 and Master of Science degree in University of Southern California in 2017. His current research interest is improved FISP-MRF at 0.55 T MRI.
Host: Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Bella Schilter
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PhD Thesis Proposal - Elizabeth Ondula
Fri, Dec 06, 2024 @ 10:00 AM - 11:00 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Evaluating AI Model Decisions in Dynamic Environments
Date and Time: December 6, 2024 Time: 10 - 11am
Location: EEB 349
Guidance Committee Members: Bhaskar Krishnamachari (Chair), Jyotirmoy Deshmukh, Bistra Dilkina, Shanghua Teng, Timothy Pinkston.
Abstract: Artificial Intelligence (AI) models demonstrate adaptability by adjusting to changing environments and leveraging real-world data to improve performance. Despite this capability that enables handling of complex processes and tasks, these models often face challenges with explainability and effective decision-making in dynamic environments where conditions evolve over time. My research investigates how AI models can effectively navigate trade-offs in decision optimization within complex dynamic environments. I address this fundamental challenge through two key areas: reinforcement learning for epidemic control and language-based multi-agent systems for decision-making. In my first project, I explore optimization of campus occupancy decisions during epidemics using reinforcement learning algorithms to balance educational benefits with safety constraints. In my second project, I investigate sentiment-driven opinion dynamics and collective decision-making with a focus on developing frameworks that account for cognitive biases in multi-agent interactions. Though in different domains, both areas reveal the challenges of balancing competing objectives in dynamically evolving settings. My work advances AI decision-making tools that improve adaptability and robustness through systematic analysis of environmental dynamics and agent behaviors. This research builds a foundation for my proposed thesis on evaluating how AI models make and adapt decisions in dynamic environments, demonstrated through applications in epidemic control and collective decision-making.
Zoom: https://usc.zoom.us/j/99774865637Location: Hughes Aircraft Electrical Engineering Center (EEB) - 349
Audiences: Everyone Is Invited
Contact: Elizabeth Ondula
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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Fri, Dec 06, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Carla Woods, President of Mann Healthcare Partners and Board member of USC Viterbi
Talk Title: Medical Device Companies: From Idea to a Business, and Everything in Between
Abstract: When an idea is born for a product, few face the opportunities and challenges of Medical Devices. Due diligence and planning are paramount to success. Most of the success of a new idea is not the idea itself, but all that goes into driving a successful venture and understanding how to fit the product in a dynamic existing and highly regulated environment. The opportunity that ideas generate in the medical space is to help people with health issues and improve or even save lives. These opportunities also generate jobs and economic success for collaborators, investors and businesses. Getting there involves mitigating risks, overcoming obstacles, and crossing “the valley death.” This requires investment, knowhow and talent of all types coming together. This talk will walk through examples and considerations to set up the development of an idea for success!
Biography: A USC graduate in Business Administration and Entrepreneurship, Carla has been developing and marketing medical devices for over twenty years. At Advanced Bionics Corporation, she was a key executive building the company up to and through its acquisition by Boston Scientific. She began her career at Pacesetter Systems where she planned new technology applications and product needs for pacemakers. During her tenure at Advanced Bionics/Boston Scientific, she led the business development, product development, industrial design, education, clinical research and marketing for the company and its products including the Precision Spinal Cord Stimulator, the BION® microstimulator, implantable infusion pumps, and the cochlear implant. For these products she holds over 60 U.S. patents. Carla was the recipient of the Boston Scientific Patent Milestone Award and the Advanced Bionics Business Leadership Award. She was a senior executive on the company's intellectual property review board and was the shareholder representative in the Boston Scientific acquisition of Advanced Bionics. In 2007, she became the Vice President of Program Development and Strategic Planning for the Alfred Mann Foundation for Biomedical Engineering. Carla is on the Board of the USC Viterbi School of Engineering and has served on the board of the Pacific Neuroscience Institute, AMI Institutes at USC and Purdue University, the Center for Global Innovation at the USC Marshall School of Business, the National Pain Foundation and the Fulfilment Fund.
Host: Peter Yingxiao Wang- Chair of Alfred E. Mann Department of Biomedical Engineering
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: Everyone Is Invited
Contact: Carla Stanard
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MHI - Physics Joint Seminar Series, Mark Saffman, Friday, Dec. 6th at 2pm in SSL 202
Fri, Dec 06, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mark Saffman, Department of Physics, University of Wisconsin-Madison
Talk Title: Gate Model Quantum Computing with Atom Arrays
Series: MHI Physics Joint Seminar Series
Abstract: Quantum computing with neutral atom qubits has advanced rapidly with the development of large 2D arrays and high-fidelity entangling gates. We have used atomic qubits for a variational simulation of the Lipkin-Meshkov-Glick model incorporating noise mitigation techniques. The talk will provide an overview of architectural options for neutral atom qubit arrays and present new approaches for implementing nonlocal QEC codes and fast measurements, as well as progress towards photonic remote entanglement.
Biography: Mark Saffman is an experimental physicist working in the areas of atomic physics, quantum and nonlinear optics, and quantum information processing. His research team was the first to demonstrate a quantum CNOT gate for the deterministic entanglement of a pair of neutral atoms. This was done using dipole mediated interactions between highly excited Rydberg atoms. He is currently developing scalable arrays of neutral atoms for quantum computation, communication, and sensing applications. He is the Johannes Rydberg Professor of Physics at the University of Wisconsin-Madison and has been recognized with an Alfred P. Sloan fellowship, a Vilas Associate Award, the WARF Innovation Award, and is a fellow of the American Physical Society, and Optica. He has been active in professional service including two decades as an Associate Editor at the Physical Review and is the director of The Wisconsin Quantum Institute. He also serves as Chief Scientist for Quantum Information at Infleqtion, Inc.
Host: Quntao Zhuang, Eli Levinson-Falk, Jonathan Habif, Daniel Lidar, Kelly Luo, Todd Brun, Tony Levi, Stephan Haas
More Information: Mark Saffman -Dec 6.pdf
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
