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SUNMONTUEWEDTHUFRISAT
Events for November 01, 2024
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Preview Day - Viterbi Graduate Admission
Fri, Nov 01, 2024 @ 09:00 AM - 03:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Graduate Admission
Receptions & Special Events
Preview Day is the Viterbi School’s annual visitation day for students interested in pursuing a Master’s or PhD in Engineering & Computer Science. Attendees will: meet with engineering faculty, staff and current students; learn more about our graduate programs; and tour campus and labs.
Location: Town & Gown (TGF) -
Audiences: Prospective Viterbi Graduate Students
Contact: Maria Sandone
Event Link: https://viterbigradadmission.usc.edu/events/mspreview/
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PhD Defense - Kay Shen
Fri, Nov 01, 2024 @ 09:00 AM - 11:00 AM
Daniel J. Epstein Department of Industrial and Systems Engineering
Student Activity
PhD student Defense Join Zoom Meetinghttps://usc.zoom.us/j/4275286440?pwd=TFR6WTd6SHp2SHo2c2cyajYxM1d4dz09&omn=97429297706Meeting ID: 427 528 6440Passcode: 1911
Location: Olin Hall of Engineering (OHE) - 310S
Audiences: Everyone Is Invited
Contact: Michele ISE
Event Link: https://usc.zoom.us/j/4275286440?pwd=TFR6WTd6SHp2SHo2c2cyajYxM1d4dz09&omn=97429297706
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EiS Communications Hub - Tutoring for Engineering Ph.D. StudentsFri, Nov 01, 2024 @ 10:00 AM - 02:00 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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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Fri, Nov 01, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Remo Rohs, Ph.D., Professor of Quantitative and Computational Biology, Chemistry, Physics and Astronomy and Computer Science, University of Southern California
Talk Title: Engineering+: AI-driven discovery in biology
Abstract: In recent years, research in biology has become increasingly quantitative. This trend is due to two major drivers: Biology now generates large amounts of data in every experiment, and the power of computers has grown exponentially. The combination of data and computing is the basis of biological discovery in the 21st century. This talk will introduce AI-based and other computational methods developed in the Rohs lab with the goal to answer important biological questions related to gene regulation, nucleic acid structure, protein-nucleic acid binding, and drug design. These computational approaches combine biophysics, mathematics, and statistical machine learning. They enable, for instance, the probing a protein for its preference to bind either DNA or RNA or allow for the design of novel drug-like molecules that are not available in current drug libraries. Feature engineering is a crucial factor for the interpretability of these models. The talk will provide a vision for the crucial role of computational biology at the interface of engineering, medicine, and science.
Biography: Biography:Remo Rohs is the founding chair of the Department of Quantitative and Computational Biology. He received his undergraduate and master’s degree in physics at Humboldt University Berlin. His Ph.D. in chemistry is from Free University Berlin and the Max Delbrück Center for Molecular Medicine in Berlin, Germany. Remo Rohs did his postdoctoral training in structural biology at the Weizmann Institute of Science in Israel. He received further training in computational biology and bioinformatics as research scientist at Columbia University in New York. Remo Rohs started his independent faculty career at the University of Southern California in 2010. He received tenure and was promoted to associated professor in 2016 and to full professor in the same year. He became head of the computational biology and bioinformatics faculty in 2016, founded a section of quantitative and computational biology in 2018, and his current department in 2021. He also designed the quantitative biology undergraduate major. His research is primarily funded by the National Institutes of Health.
Host: Stecey Finley
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: Everyone Is Invited
Contact: Carla Stanard
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MHI - Physics Joint Seminar Series - Yogesh Joglekar, Friday, Nov. 1st at 2pm in SSL 202
Fri, Nov 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yogesh Joglekar, Professor of Physics, Indiana University
Talk Title: Non-Hermitian quantum dynamics: super quantum correlations and breaking the quantum speed limit
Series: MHI Physics Joint Seminar Series
Abstract: Quantum theory provides rules governing much of the microscopic world. It dictates unitarity for isolated systems that when coupled to an environment, undergo decoherence. Among its counter-intuitive consequences are temporal (Leggett-Garg) correlations that exceed the bounds from local, classical theories. In the simplest system - a single qubit - LG correlations are bounded below 1.5 for unitary and decohering dynamics, with excess over 1 indicating "quantumness". Fundamentally, these bounds arise due to limits on the speed at which a quantum state can evolve into an orthogonal one. In recent years, quantum systems undergoing coherent but non-unitary evolution have emerged. They are governed by non-Hermitian, parity-time (PT) symmetric Hamiltonians with exceptional point degeneracies. After a short review of such systems, I will present results for PT-symmetry breaking, temporal correlations that exceed the LG bound of 1.5, and quantum state-transfers that exceed the quantum speed limit in a single trapped ion (arXiv:2304.12413, PRA 108, 032202 (2023)).*Work done with David Allcock group (University of Oregon) and Sourin Das group (IISER, Kolkata).
Biography: Yogesh Joglekar is an experimentally-minded theoretical physicist. After initial training and some time in condensed matter physics, he started moonlighting in the area of PT symmetry with the help of high-school students. They have helped him see how PT symmetry emerges in disparate platforms such as a single LC circuit or a vibrating tank of water. His primary area of research is open classical and quantum systems. He usually has far more questions than answers.
Host: Mercedeh Khajavikhan & Demetri Christodoulides
More Information: Yogesh Joglekar Flyer.pdf
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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MHI ISSS Seminar - Dr. Xuan "Silvia" Zhang, Friday, Nov. 1st at 2pm in EEB 132
Fri, Nov 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Xuan "Silvia" Zhang, Associate Professor, Northeastern University
Talk Title: Foundational AI Framework for Automated Synthesis of Analog Integrated Circuits
Series: Integrated Systems
Abstract: Artificial intelligence (AI) and machine learning (ML) technologies have profoundly reshaped our world, manifesting their prowess in perception, knowledge generation, and decision making. In a similar fashion, AI/ML will undoubtedly be a disruptive force to revolutionize the IC design process. Due to their labor-intensive nature, analog and radio frequency (RF) circuits take a disproportionate share in design cost and could therefore benefit tremendously from automation. In this talk, I will present the recent work from my lab towards the goal of building a foundational AI framework for analog IC design automation. I will first introduce our deep learning-based method to automate parameter optimization in analog/RF circuits with a unique domain knowledge-infused approach. This method is then expanded to provide robustness and sampling efficiency against design variations caused by process, voltage, and temperature (PVT). Next, I will briefly talk about CktGNN, our hierarchical graph neural network-based approach to synthesizing circuit topology and the first of its kind that leads to the construction of an open-sourced analog circuit dataset (https://github.com/zehao-dong/CktGNN). Finally, I will conclude the talk with a vision statement and roadmap for future AI-driven design automation.
Biography: Dr. Xuan Zhang is an Associate Professor in the Electrical and Computer Engineering Department at Northeastern University. She works across the fields of integrated circuits/VLSI design, computer architecture, and electronic design automation. Dr. Zhang is an IEEE Women in Engineering (WiE) Distinguished Lecturer for 2023-2024, IEEE Circuits and Systems Society (CAS) Distinguished Lecturer for 2022-2023, and the recipient of NSF CAREER Award in 2020. She currently serves as the Associate Editor-in-Chief at IEEE Transactions on Circuits and Systems I (TCAS-I) and Associate Editor at IEEE Transactions on Computer-Aided Designs (TCAD). Her work has received numerous best paper awards and nominations including ISLPED Best Paper Award in 2022, AsianHOST Best Paper Award in 2020, DATE Best Paper Award in 2019, and Best Paper nominations at DAC 2022, ASP-DAC 2021, MLCAD 2020, DATE 2019, and DAC 2017.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: https://usc.zoom.us/j/92564669688
More Information: MHI_Seminar_Flyer_Zhang_Nov1_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/92564669688
