Events for December 06, 2024
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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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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 Info: https://usc.zoom.us/j/92584409725
More Information: Mark Saffman -Dec 6.pdf
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/92584409725
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MHI ISSS Seminar - Dr. Alyosha Molnar, Friday, December 6th at 2pm in EEB 248
Fri, Dec 06, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Alyosha Molnar, Professor, Cornell University
Talk Title: Analog at the Extremes: Circuits from the Edge
Series: Integrated Systems
Abstract: For at least 3 decades techno-polemicists have been predicting the end of analog circuits, even as the field has exploded both commercially and academically. What is true, however, is that analog circuits have changed, as digital computation and analog-to-digital converters have improved by leaps and bounds, pushing many traditionally analog problems into the digital, and even software domain. Some problems, however, remain beyond the reach of purely digital solutions. These problems are characterized by either extremely constrained power and size, or by very high frequency, very high dynamic range requirements. At the same time, such circuits must be designed with a much more algorithm-aware mindset, as they rarely exist in a computation-free environment. I will discuss two examples of such circuits. The first example is a tiny (60um x 300um) neural implant, able to measure and transduce electrophysiological signals from neurons and transmit them wirelessly. These microscale optoelectronically transduced electrodes (MOTEs) can be entirely powered by light (from a 2-photon imaging setup, for example), at levels safe for the brain, while reporting both spiking and synaptic activity in-vivo. The second problem is high dynamic-range RF and mm-Wave receivers. I will discuss our work in N-path mixers and filters which have been shown to enable flexible, interference tolerant receivers, and discuss our recent work mapping N-path designs to mmWave frequencies, while maintaining the mixers' linearity and noise without burning excessive power. I will finish up by discussing of a new style of flexible receiver, which leverages circuit and algorithm co-design to generate diverse combinations of signal and interference artifact. These diverse channels then allow simple algorithms to identification and remove interference artifacts without prior knowledge of the interference itself.
Biography: Alyosha Molnar received his B.S. in Engineering from Swarthmore College and his Ph.D. in Electrical Engineering from UC Berkeley. At Conexant Systems (1998-2002), he co-led the development of the first commercially successful cellular direct conversion receiver and fully integrated quad-band GSM transceiver. Currently the Ilda and Charles Lee Professor of Engineering at Cornell University, his research encompasses RF and mmWave integrated circuits, novel image sensors and processing, neural interface systems, and microscale autonomous systems. His graduate work included pioneering sub-milliwatt radios for "smart dust" and studying biological circuits in the mammalian retina. Since joining Cornell in 2007, his contributions have been recognized with several prestigious honors including the NSF CAREER Award, DARPA Young Faculty Award, ISSCC Lewis Winner Award, and the Darlington Best Paper Award.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: https://usc.zoom.us/j/93310952640
More Information: MHI_Seminar_Flyer_Molnar_Dec6_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/93310952640
