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Events for April 05, 2024
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EiS Communications Hub Drop-In HoursFri, Apr 05, 2024 @ 10:00 AM - 01:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.
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?authuser=0
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EiS Communications Hub Drop-In Hours
Fri, Apr 05, 2024 @ 10:00 AM - 01:00 PM
Engineering in Society Program
Student Activity
Drop-in hours for writing and speaking support for Viterbi Ph.D. students
Location: Ronald Tutor Hall of Engineering (RTH) - 222
Audiences: Everyone Is Invited
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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VLP Spring Study Sesh
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Fri, Apr 05, 2024 @ 10:00 AM - 04:00 PM
Viterbi School of Engineering Student Affairs
Student Activity
Spring into finals season with the VLP! Join us in RTH 222 for quiet study spaces, plenty of FREE snacks, and spring vibes to keep you going strong!
All Viterbi students are welcome. RSVP: https://cglink.me/2nB/r396472Location: Ronald Tutor Hall of Engineering (RTH) - 222
Audiences: Everyone Is Invited
Contact: Alex Bronz
Event Link: https://cglink.me/2nB/r396472
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Alfred E. Mann Department of Biomedical Engineering
Fri, Apr 05, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Huimin Zhao, Ph.D., Professor of Chemical and Biomedical Engineering, Chemistry, Biophysics and computational Biology, University of Illinois, IL
Talk Title: Synthetic Biology 2.0: the Dawn of a New Era
Abstract: Synthetic biology aims to design novel or improved biological systems using engineering principles, which has broad applications in medical, chemical, food, and agricultural industries. Thanks to the rapid advances in DNA sequencing and synthesis, genome editing, artificial intelligence/machine learning (AI/ML), and laboratory automation in the past two decades, synthetic biology has entered a new phase of exponential growth. In this talk, I will highlight our recent work on the development of a self-driving biofoundry and AI/ML tools for synthetic biology applications and next-generation genome editing tools. Examples include but are not limited to: (1) BioAutomata: a self-driving biofoundry for pathway engineering and protein engineering, (2) ECNet: an AI tool for enzyme engineering, (3) CLEAN: an AI tool for enzyme function prediction, (4) FAST-RiPP & FAST-NPS: an automated and scalable platform for rapid discovery of bioactive natural products, and (5) zCRISPR-Cas12: a new tool for precise gene knock-in and highly efficient multiplex genome editing.
Biography: Dr. Huimin Zhao is the Steven L. Miller Chair of chemical and biomolecular engineering at the University of Illinois at Urbana-Champaign (UIUC), director of NSF AI Institute for Molecule Synthesis (moleculemaker.org), and Editor in Chief of ACS Synthetic Biology. He received his B.S. degree in Biology from the University of Science and Technology of China in 1992 and his Ph.D. degree in Chemistry from the California Institute of Technology in 1998 under the guidance of Nobel Laureate Dr. Frances Arnold. Prior to joining UIUC in 2000, he was a project leader at the Industrial Biotechnology Laboratory of the Dow Chemical Company. He was promoted to full professor in 2008. Dr. Zhao has authored and co-authored over 430 research articles and over 30 issued and pending patent applications. In addition, he has given over 490 plenary, keynote, or invited lectures. Thirty-seven (37) of his former graduate students and postdocs became professors or principal investigators around the world. Dr. Zhao received numerous research and teaching awards and honors such as AIChE Daniel I.C. Wang Award, AIChE FP&B Division Award, ECI Enzyme Engineering Award, ACS Marvin Johnson Award, and SIMB Charles Thom Award. His primary research interests are in the development and applications of synthetic biology, machine learning, and laboratory automation tools to address society’s most daunting challenges in health, energy, and sustainability.
Host: Peter Wang
Location: Corwin D. Denney Research Center (DRB) - DRB 146
Audiences: Everyone Is Invited
Contact: Carla Stanard
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Munushian Seminar - Kwabena Boahen, Friday, April 5th at 3:30pm in EEB 132
Fri, Apr 05, 2024 @ 03:30 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Kwabena Boahen, Stanford University
Talk Title: Scaling Knowledge Processing: 2D Chips versus 3D Brains
Series: Munushian Visiting Seminar Series
Abstract: Artificial intelligence (AI) now advances by performing twice as many multiplications every two months, but the semiconductor industry tiles twice as many multipliers on a chip every two years. Moreover, the returns from tiling these multipliers ever more densely in two dimensions (2D) now diminish because signals must travel relatively farther and farther. Although travel can be shortened by stacking multipliers to process knowledge in three dimensions (3D), such a solution acutely reduces the available surface area for dissipating heat. My recent dendrocentric reconception of the biological brain's fundamental units of computation and communication removes this 3D thermal roadblock. Current AI uses dot-products to emulate synaptic weighting. This six-decade-old synaptocentric conception posits that the brain weights inputs across an entire dendrite to detect a spatial pattern of activations. The dendrocentric conception posits that the brain orders inputs meticulously along a short stretch of dendrite to detect a spatiotemporal pattern of spikes. My group has now realized this dendrocentric conception of the learning brain with a string of ferroelectric transistors. Moving away from synaptocentric to dendrocentric learning would enable AI to run not with megawatts in the cloud but rather with watts on a phone.
Biography: Kwabena Boahen is a Professor of Bioengineering, Electrical Engineering, and by courtesy Computer Science at Stanford University; an investigator in Stanford's Bio-X Institute, System X Alliance, and Wu Tsai Neurosciences Institute; and the founding director of Stanford's Brains in Silicon Lab. His group models the nervous system computationally to elucidate principles of neural design at the cellular, circuit, and systems levels; and synthesizes neuromorphic electronic systems that scale energy-use with size as efficiently as the brain does. His interest in neural networks developed soon after he left his native Ghana to pursue undergraduate studies in Electrical and Computer Engineering at Johns Hopkins University, Baltimore, in 1985. He went on to earn a doctorate in Computation and Neural Systems at the California Institute of Technology in 1997. From 1997 to 2005 he was on the faculty of University of Pennsylvania, Philadelphia PA, where he was the inaugural holder of the Skirkanich Term Junior Chair. His research has resulted in over a hundred publications, including a cover story in Scientific American featuring his lab's work on a silicon retina and a silicon tectum that "wire together" automatically (May 2005). He has been invited to give over a hundred seminar, plenary, and keynote talks, including a 2007 TED talk, "A computer that works like the brain", with over seven hundred thousand views. He has received several distinguished honors, including a Packard Fellowship for Science and Engineering (1999) and a National Institutes of Health Director's Pioneer Award (2006). He was elected a fellow of the American Institute for Medical and Biological Engineering (2016) and of the Institute of Electrical and Electronic Engineers (2016) in recognition of his lab's work on Neurogrid, an iPad-size platform that emulates the cerebral cortex in biophysical detail and at functional scale, a combination that hitherto required a supercomputer. He has led several multi-university, multi-investigator research efforts, including one that raised the level of abstraction at which neuromorphic chips are 'programmed' by co-designing hardware and software (Brainstorm Project). A spin-out from his Stanford lab, Femtosense Inc (2018), is commercializing this breakthrough. He teaches graduate courses in computational neuroscience and neuromorphic computing, has trained over twenty graduate students, and mentored four postdoctoral researchers, including the designer of NeuraLink's first implantable chip.
Host: J Yang, H Wang, C Zhou, S Cronin, W Wu
More Information: Kwabena Boahen Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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