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Events for the 3rd week of October
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Mon, Oct 14, 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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CSC/CommNetS-MHI Seminar: Verena Häberle
Mon, Oct 14, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Verena HaÌberle, PhD student, Automatic Control Laboratory | ETH Zurich, Switzerland
Talk Title: Virtual Power Plant Control for Dynamic Ancillary Services Provision
Series: CSC/CommNetS-MHI Seminar Series
Abstract: This presentation focuses on innovative control strategies for dynamic virtual power plants (DVPPs) aimed at providing dynamic ancillary services efficiently. The first part highlights the importance of heterogeneity among distributed energy resources in reliably delivering services like fast frequency and voltage control across various power and energy levels. A "divide-and-conquer" approach, along with dynamic participation factors and local matching controllers, is proposed. The second part introduces a closed-loop strategy incorporating data-driven techniques to adapt ancillary services to local grid conditions. Structural encoding of dynamic ancillary services and a "perceive-and-optimize" strategy ensure stable and optimal performance while meeting grid-code and device-level requirements. Numerical case studies and hardware experiments validate the effectiveness of these approaches, promising improved grid stability and efficiency.
Biography: Verena Häberle is a Ph.D. student at the Automatic Control Laboratory, ETH Zurich, Switzerland, working under the supervision of Prof. Florian Dörfler since June 2020. She earned both her B.Sc. and M.Sc. degrees in Electrical Engineering and Information Technology from ETH Zurich in 2018 and 2020, respectively. Since Sept 2024, she is a visiting student researcher with the Netlab group at the California Institute of Technology (CALTECH), supervised by Prof. Steven Low. Her research focuses on dynamic ancillary services provision, control design for dynamic virtual power plants, and data-driven converter control for future power systems.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.10.14 CSC Seminar - Verena Häberle.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Six Sigma Green Belt for Process Improvement
Tue, Oct 15, 2024 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
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Viterbi - Job Searching in the US
Tue, Oct 15, 2024 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event is for Viterbi engineering students only. Please register through Handshake.
Learn how to navigate the application process to help you find your fit and engage with Employers in the US. Understand the recruitment process and increase your career readiness!Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: BS, MS, PhD
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
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Epstein Institute, ISE 651 Seminar Class
Tue, Oct 15, 2024 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Szu Hui Ng, Associate Professor and Head of the Department of Industrial Systems Engineering and Management, University of Singapore
Talk Title: Dynamic Simulation Optimization of Chlorine Dosage in Drinking Water Distribution Systems
Host: Dr. Qiang Huang
More Information: FLYER 651 Dr. Szu Hui Ng 10.15.24.png
Location: Social Sciences Building (SOS) - B2
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
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Modeling Human Motion Behaviors and 3D Environment from Real-World Capture
Tue, Oct 15, 2024 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Andrew Feng , Associate Director - Geospatial Research, USC-ICT
Talk Title: Modeling Human Motion Behaviors and 3D Environment from Real-World Capture
Abstract: Synthesizing believable human motions based on input conditions is an essential task that will find many applications in gaming, simulation, and virtual reality. Various conditional inputs can be utilized to drive the motion synthesis process such as speech, music, action categories, and natural language text descriptions. Generating motions from text prompts or speech audios requires modeling of both languages and motions, which is especially challenging as the model needs to learn a cross-modal mapping to produce motion sequences. Another challenge in learning the motion synthesis model is that the cross-modal mapping may not be deterministic. For instance, there may be multiple viable gesture motions for the same speech utterance that are all plausible. The first part of this talk will cover our research in leveraging discrete latent space learning and recent generative modeling methods to address such challenges. Our proposed method models the motion segments as discrete codes and learns the underlying data distributions for these motion units. Therefore it does not suffer from the over-smoothed or damped animations caused by the deterministic mapping of the regression models in previous methods. Modeling the real world environment from multi-view images remain significant challenges in computer vision and graphics. The resulting models need to retain both accurate visual appearances and geometry to be valuable for digital twins, simulation, or scan-to-BIM applications. 3D Gaussian Splatting (3DGS) has recently advanced the field to be a viable method for novel view synthesis and real-time rendering. The second part of the talk will cover our recent research work in 3DGS for revising the training and densification strategy to improve the radiance field and geometry reconstructions.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Andrew Feng is currently the Associate Director of Geospatial Research at USC-ICT. He leads the Terrain Research group at ICT focusing on geospatial R&D initiatives in support of the Army’s One World Terrain project. Previously, he was a research scientist working on gesture synthesis, character animation and automatic 3D avatar generation. His research work involves applying machine learning techniques to solve computer graphics problems such as 3D model reconstructions, semantic segmentations, and animation synthesis. He received his Ph.D. and M.S. degree in computer science from the University of Illinois at Urbana-Champaign.
Host: Jonathan Gratch, Research Professor
Location: Olin Hall of Engineering (OHE) - 100c
Audiences: Everyone Is Invited
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Six Sigma Green Belt for Process Improvement
Wed, Oct 16, 2024 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Wed, Oct 16, 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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Viterbi - Lockheed Martin Network of Women Series (4/4)
Wed, Oct 16, 2024 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event is for Viterbi engineering students only. Please register through Handshake.
Join the Lockheed Martin network of Women (LM Now) as they share their stories of mentorship, career growth, goals achievement, and more. This is the fourth event of the series. This event's topic will be Empowering Leadership: Applying Women's Self-Defense Principles in Technical Leadership.
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant’s responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
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Computer Science General Faculty Meeting
Wed, Oct 16, 2024 @ 12:00 PM - 02:00 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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USC CAIS Seminar with Dr. Frederic Reamer
Wed, Oct 16, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Frederic Reamer, Professor Emeritus, School of Social Work - Rhode Island College
Talk Title: USC CAIS Seminar with Dr. Frederic Reamer
Abstract: Artificial intelligence (AI) is becoming increasingly prevalent in the behavioral health professions. AI is being used to conduct client risk assessments; assist people in crisis; strengthen prevention efforts; document clinical services; identify systemic biases in the delivery of services; provide professional education and clinical supervision; and predict practitioner burnout and service outcomes, among other uses.
This webinar will examine cutting-edge ethical issues related to behavioral health practitioners’ use of AI; apply relevant ethical standards; and outline key elements of a strategy for practitioners’ ethical use of AI. Join Dr. Frederic Reamer as he examines ethical issues and risks related to informed consent and client autonomy; privacy and confidentiality; transparency; potential client misdiagnosis; client abandonment; client surveillance; plagiarism, dishonesty, fraud, and misrepresentation; algorithmic bias and unfairness; and use of evidence-based AI tools.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Register for Zoom webinar: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiA
Biography: Frederic G. Reamer has been on the faculty of the School of Social Work, Rhode Island College since 1983. His research and teaching have addressed a wide range of human service issues, including mental health, health care, criminal justice, public welfare, and professional ethics. Dr. Reamer received his Ph.D. (social work) from the University of Chicago. He has served as a social worker in correctional and mental health settings.
He serves as Associate Editor of the National Association of Social Workers Encyclopedia of Social Work (Oxford University Press and National Association of Social Workers). Since 2012, Dr. Reamer has served as the ethics instructor in the Providence (RI) Police Department Training Academy. Dr. Reamer has conducted extensive research on professional ethics. He has published 25 books and more than 190 journal articles, book chapters, and encyclopedia articles.
Dr. Reamer is the recipient of awards such as the NASW Mit Joyner Presidential Award, NASW Social Work Pioneer Award, and NASW Excellence in Ethics Award.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-frederic-reamer/
Webcast: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiALocation: Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiA
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-frederic-reamer/
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A.V. Balakrishnan Awards Ceremony - Dr. Earl H. Dowell
Wed, Oct 16, 2024 @ 02:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Earl H. Dowell, William Holland Hall Professor of the Pratt School of Engineering, Duke University
Talk Title: Fluid Structural Thermal Interaction (FSTI) in Hypersonic Flow
Abstract: When flowing fluids and deformable structures interact, they may become unstable (flutter) and if the system is nonlinear this may lead to limit cycle oscillations and even chaotic dynamics. Physical phenomena of interest include wind induced oscillations of long span bridges and tall buildings, internal flows in nuclear reactors and gas turbines, blood flow through arteries and airflow over human tongues. However historically and even today much of the progress is driven by aerospace applications including high performance flight vehicles be they aircraft, jet engines, launch vehicles, missiles or rotorcraft. Current interest in FSTI in hypersonic flow is high and will be the subject of this talk. Both experimental and theoretical (computational) work will be discussed.
Event Program
Reception 2:00PM - 2:30PM
Remarks 2:35PM - 3:15PM
Awardee Lecture 3:15PM - 4:00PM
Award Presentation 4:00PM - 4:15PM
Biography: Dr. Dowell is an elected member of the National Academy of Engineering, an Honorary Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a Fellow of the American Academy of Mechanics and the American Society of Mechanical Engineers. He has also served as Vice President for Publications and member of the Executive Committee of the Board of Directors of the AIAA; as a member of the United States Air Force Scientific Advisory Board; the Air Force Studies Board, the Aerospace Science and Engineering Board and the Board on Army Science and Technology of the National Academies; the AGARD (NATO) advisory panel for aerospace engineering, as President of the American Academy of Mechanics, as Chair of the US National Committee on Theoretical and Applied Mechanics and as Chairman of the National Council of Deans of Engineering. From the AIAA he has received the Structure, Structural Dynamics and Materials Award, the Von Karman Lectureship, the Crichlow Trust Prize and the Reed Aeronautics Award; from the ASME he has received the Spirit of St. Louis Medal, the Den Hartog Award, Lyapunov Medal and the Caughey Medal; and he has also received the Guggenheim Medal which is awarded jointly by the AIAA, ASME, AHS and SAE. He has served on the boards of visitors of several universities and is a consultant to government, industry and universities in science and technology policy and engineering education as well as on the topics of his research. Dr. Dowell research and teaching ranges over the topics of acoustics, aerodynamics, aeroelasticity, dynamics and structures. In addition to being author of over four hundred research articles, Dr. Dowell is the author or co-author of four books, "Aeroelasticity of Plates and Shells", "A Modern Course in Aeroelasticity", "Studies in Nonlinear Aeroelasticity" and “Dynamics of Very High Dimensional Systems”. Dr. Dowell received his B.S. degree from the University of Illinois and his S.M. and Sc.D. degrees from the Massachusetts Institute of Technology. Before coming to Duke as Dean of the School of Engineering, serving from 1983-1999, he taught at M.I.T. and Princeton. He has also worked with the Boeing Company.
Host: Dr. Petros Ioannou, ioannou@usc.edu
More Info: https://forms.gle/zUxvBSDsb1TCHdcEA
Location: Ronald Tutor Hall of Engineering (RTH) - RTH 526
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://forms.gle/zUxvBSDsb1TCHdcEA
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AAI-CCI-MHI Seminar on CPS
Wed, Oct 16, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Alex Robey, Postdoctoral Researcher
Talk Title: Jailbreaking LLM-Controlled Robots
Series: EE598 Seminar Series
Abstract: Recent research has shown that large language models (LLMs) such as OpenAI's ChatGPT are susceptible to jailbreaking attacks, wherein malicious users fool an LLM into generating harmful content (e.g., bombbuilding instructions). However, these attacks are generally limited to eliciting text from chatbots. In contrast, we consider attacks on LLM-controlled robots, which, if jailbroken, could be manipulated into causing physical harm in the real world. Our attacks successfully jailbreak a self-driving LLM, a wheeled Clearpath Robotics Jackal robot, and, most concerningly, the commercially available Unitree Go2 robot dog. In this talk, we will walk through the recent history of jailbreaking, describe our robotic attacks, and discuss how such attacks can be mitigated to avoid the misuse of AI-powered robots.
Biography: Alex Robey is a postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University, where he is advised by J. Zico Kolter. He is also affiliated with Gray Swan, a start-up that aims to develop AI models resistant to adversarial attacks. In 2024, he received his Ph.D. from the Department of Electrical and Systems Engineering at the University of Pennsylvania, where he was advised by Hamed Hassani and George J. Pappas. He was recently named a Rising Star in Adversarial Machine Learning (AdvML) at the NeurIPS 2024 workshop on AdvML, and he was also the recipient of the Best Paper Award from the AdvML workshop at ICML 2023.
Host: Stephen Tu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
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AME Seminar
Wed, Oct 16, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Ananya Balakrishna, UC Santa Barbara
Talk Title: Phase Transformations in Multifunctional Materials
Abstract: Phase transformation materials are characterized by their ability to rapidly and reversibly switch between distinct properties, such as insulating and conducting, paramagnetic and ferromagnetic, or Li-rich and Li-poor. These transformations, however, are accompanied by abrupt structural changes in the crystal lattices, which can nucleate defects, accumulate strain energy, and accelerate material decay. We investigate these transformations in multifunctional materials from the viewpoint of Ericksen’s multiple energy wells. By doing so, we identify important links between material constants, crystallographic microstructures, and macroscopic properties. This approach to understanding material behavior from the perspective of energy landscapes may suggest new ways to design materials with improved properties and lifespans. In this talk, I will present our findings on phase transformations in battery electrodes (intercalation compounds), photomechanical materials (molecular crystals), and soft magnetic alloys. Most of this work has primarily been conducted by Delin Zhang (PhD candidate at USC/AME) and Devesh Tiwari (MS from USC/AME).
Biography: Ananya Renuka Balakrishna is an Assistant Professor in the Materials Department at the University of California Santa Barbara. She received her B.Tech degree in Mechanical Engineering from the National Institute of Technology Karnataka and her Ph.D. in Solid Mechanics and Materials Engineering from the University of Oxford. Before her current appointment, she was a Lindemann Postdoctoral Fellow at MIT and the University of Minnesota and joined the faculty in the Department of Aerospace & Mechanical Engineering at the University of Southern California in 2020. Her research group develops theoretical models to understand the interplay between fundamental material constants and microstructural instabilities, and how they collectively shape the physical response of a material.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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Viterbi - Behavioral Interviewing with Novanta
Wed, Oct 16, 2024 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Date: October 16, 2024Time: 5PM - 6PM PSTLocation: USC Viterbi School of Engineering
Join us for an engaging session with Novanta, where we will introduce our company and share valuable insights on behavioral interviewing. This event is designed for students who are eager to learn about Novanta’s mission, values, and the skills we seek in potential candidates.
What to Expect:
A brief introduction to Novanta and our innovative work.
An in-depth discussion on behavioral interviewing techniques.
Tips and strategies to excel in behavioral interviews.
Q&A session with Novanta representatives.
Don’t miss this opportunity to connect with industry professionals and gain a competitive edge in your job search. We look forward to seeing you there!Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
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Turner Construction- Resume Review
Wed, Oct 16, 2024 @ 06:00 PM - 07:30 PM
USC Viterbi School of Engineering
Workshops & Infosessions
Need help with your resume or interview tips? Join Turner Construction to learn more about their company while also preparing for the recruiting season! Dinner 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=400041
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Computational Science Distinguished Seminar Series
Thu, Oct 17, 2024 @ 09:00 AM - 10:30 AM
USC School of Advanced Computing
Conferences, Lectures, & Seminars
Speaker: Jessica Zhang, Carnegie Mellon University
Talk Title: From neurological disorders to additive manufacturing: integrating isogeometric analysis with deep learning and digital twins
Abstract: Coupling physics-based simulation and data-driven modeling have demonstrated great power in predicting complex systems. This talk focuses on integrating an advanced finite element method called isogeometric analysis (IGA) with deep learning and digital twins to address challenging problems in investigating neurological disorders and additive manufacturing (AM). To investigate neurodevelopmental disorders, we introduce a novel phase field model coupled with tubulin and synaptogenesis concentration to simulate intricate neurite outgrowth and disorders using IGA, dynamic domain expansion and local refinement. By integrating IGA and convolutional neural networks, we conduct thorough investigations into the functional role of various parameters affecting the neurodevelopmental disorder with comparison to experimental results. To investigate intracellular transport induced neurodegenerative disorders, we develop a PDE-constrained optimization model to simulate traffic jams induced by microtubule reduction and swirl. We also build a novel IGA-based physics-informed graph neural network to quickly predict normal and abnormal transport phenomena in complex neuron geometries.
In the second half of the talk, I will present our latest research on generative manufacturing or combining AI with IGA for AM applications. It includes a machine learning framework for inverse design and manufacturing of self-assembling fiber-reinforced composites in 4D printing, IGA-based topology optimization for AM of heat exchangers, as well as data-driven residual deformation prediction to enhance metal component printability and lattice support structure design in the laser powder bed fusion (LPBF) AM process. By speeding up geometry distortion predictions from several hours to mere seconds with uncertainty quantification, our model can be deployed to prevent generation of infeasible designs. Our on-going efforts also include developing digital twins to enable prediction and control of process parameters in LPBF manufacturing, where reduced order modeling is one key technique to efficiently simulate underlying physics.
Biography: Jessica Zhang is the George Tallman Ladd and Florence Barrett Ladd Professor of Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Biomedical Engineering. She received her B.Eng. in Automotive Engineering, and M.Eng. in Engineering Mechanics from Tsinghua University, China; and M.Eng. in Aerospace Engineering and Engineering Mechanics and Ph.D. in Computational Engineering and Sciences from Institute for Computational Engineering and Sciences (now Oden Institute), The University of Texas at Austin. Her research interests include computational geometry, isogeometric analysis, finite element method, data-driven simulation, image processing, and their applications in computational biomedicine and engineering. Zhang has co-authored over 230 publications in peer-reviewed journals and conference proceedings and received several Best Paper Awards. She published a book entitled “Geometric Modeling and Mesh Generation from Scanned Images” with CRC Press, Taylor & Francis Group. Zhang is the recipient of Simons Visiting Professorship from Mathematisches Forschungsinstitut Oberwolfach of Germany, US Presidential Early Career Award for Scientists and Engineers, NSF CAREER Award, Office of Naval Research Young Investigator Award, and USACM Gallagher Young Investigator Award. At CMU, she received David P. Casasent Outstanding Research Award, George Tallman Ladd and Florence Barrett Ladd Professorship, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering, Donald
L. & Rhonda Struminger Faculty Fellow, and George Tallman Ladd Research Award. She is a Fellow of ASME, SIAM, IACM, USACM, IAMBE, AIMBE, SMA, and ELATES at Drexel. She is the Editor-in-Chief of Engineering with Computers.
Host: The School of Advanced Computing
More Info: https://sac.usc.edu/events/
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://sac.usc.edu/events/
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Six Sigma Green Belt for Process Improvement
Thu, Oct 17, 2024 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
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Viterbi- BAE Systems Early Careers Info Session #1
Thu, Oct 17, 2024 @ 01:00 PM - 03:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event is for Viterbi engineering students only.
Want to learn more about what it is like to work at BAE Systems as a recent grad or intern? Join us for a virtual Early Career Info Session on Thursday, October 17th from 1pm - 3pm EST or Tuesday, October 29th from 3pm – 5pm EST, hosted on the Brazen/Radancy platform. Both sessions will contain the same information, so pick the one that works best for your schedule!
Event Schedule:
First hour: BAE Systems overview & employee panel discussion
Second hour: Chat with our Talent Acquisition Team
You'll hear about the work we do, our culture, and our early career programs. Then our current BAE Systems early career professionals will share their advice on navigating the transition from college to the workforce and their experiences as BAE Systems employees.
After the presentation, our Talent Acquisition representatives will be available for one-on-one chats to answer questions you have about #LifeAtBAESystems and our open entry level, internship, and Leadership Development Program (LDP) roles.
Click here to register for the October 17th session (1pm – 3pm EST)
Click here to register for the October 29th session (3pm – 5pm EST )
We hope to see you there!Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Viterbi - Lockheed Martin Virtual Series (2/2)
Thu, Oct 17, 2024 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event is for Viterbi engineering students only. Please register through Handshake.
At Lockheed Martin, we don't just embrace the future, we engineer it. Join us for an information session on security clearances and a panel discussion from women in computer science and cyber. This is the second event of the series. This event's topic will be Women in CS & Cyber Panel Discussion.
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant’s responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.eduAudiences: BS, MS, PhD
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Fri, Oct 18, 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, Oct 18, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: David Issadore, Ph.D., Professor of UPenn
Talk Title: Diagnosing disease on a microchip: Finding nanoscale needles in messy nanoscale haystacks
Abstract: The transformative growth in microelectronics in the latter half of the 20th century was fueled fundamentally by the ability to miniaturize complex circuits onto chips. The impact of this has been profound– computing is pervasive and portable and communication is instant and global. My research aims to harness this same engineering approach to solve high impact problems in medical diagnostics. To accomplish this goal my lab develops hybrid microchips, where microfluidics are built directly on top of semiconductor chips. In this talk I will focus on recent work at Penn on 'digital asays.' Digital assays — in which ultra-sensitive molecular measurements are made by performing millions of parallel experiments in picoliter droplets — have generated enormous enthusiasm due to their single molecule resolution. These assays have incredible untapped potential for disease diagnostics but are currently confined to laboratory settings due to the instrumentation necessary to generate, control, and measure tens of millions of droplets. To overcome this challenge, we are developing a hybrid microelectronic / microfluidic chip to ‘unlock’ droplet-based assays for mobile use. Our microDroplet Megascale Detector (µMD) takes inspiration from cellular networks, in which phones are identified by their carrier frequency and not their particular location. In collaboration with physicians at The Abramson Cancer Center, we are demonstrating the power of this approach by developing a multiplexed extracellular vesicle-based diagnostic for the early detection of pancreatic cancer. I will also discuss ongoing projects on the early diagnosis of lung cancer, treatment guidance for traumatic brain injury, and the differential diagnosis of Alzheimer's versus Lewy body dementia.
Biography: The Issadore lab combines microelectronics, microfluidics, nanomaterials, and machine learning to solve big problems in healthcare. We create miniaturized platforms for the diagnosis of disease, we develop new platforms to manufacture micro and nanomaterials, and we dip our toes into an assortment of other areas where we can leverage our engineering training to improve healthcare. This work requires an interdisciplinary approach in which engineers, scientists, and physicians work together in teams. David received his PhD in applied physics from Harvard and his BS in both electrical engineering and physics from Penn State. Before coming to Penn, where he is now a Professor of Bioengineering, he was a postdoctoral fellow at MGH's Department of Systems Biology.
Host: Maral Mousavi
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: Everyone Is Invited
Contact: Carla Stanard
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AI Seminar- Why Are Human Laws So Difficult For AI to Follow?
Fri, Oct 18, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: John Licato, University of South Florida
Talk Title: Why Are Human Laws So Difficult For AI to Follow?
Abstract: Join Zoom Meeting: https://usc.zoom.us/j/96076927864?pwd=tOuC1grLlyiRgcwicpm9e7XziHgE0R.1 Meeting ID: 960 7692 7864 Passcode: 810249 Register in advance for this webinar: https://usc.zoom.us/webinar/register/WN_ANEShGxrSfeTwa5sFZsRag Although it is now incredibly easy to create and deploy a chatbot for almost any application, powered by highly capable LLMs, even the best systems still tend to perform poorly when they need to interpret and reason about rules---specifically, rules expressed in the kind of language found in laws, contracts, regulations, and the like. Why does this problem still exist, and how can it be overcome? Dr. Licato argues that the problem is rooted in a feature (not a bug) of human languages called open-texturedness. And this open-texturedness, because it is an inevitable feature of normative rule systems, must be addressed by any agent-level AI system, especially if we want it to be able to follow our laws.
Biography: John Licato, PhD is an Associate Professor of Computer Science and Engineering at USF, Director of the USF Advancing Machine and Human Reasoning (AMHR) Lab, and founder of AI startup Actualization AI, LLC. He designed and teaches the natural language processing course (the field that created ChatGPT) at USF, and his lab's mission is to not only make AI smarter, but to use those advances to make people reason better as well. His research expertise lies in AI, NLP, human reasoning, cognitive modeling, and legal / regulatory reasoning, with over 100 peer-reviewed publications. He has been featured in outlets such as NPR's Marketplace Tech, ABC Action News, and the Tampa Bay Business Journal. If speaker approves to be recorded for this AI Seminar talk, it will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI.
Host: Abel Salinas and Pete Zamar
More Info: https://www.isi.edu/events/5149/why-are-human-laws-so-difficult-for-ai-to-follow/
Webcast: https://www.youtube.com/watch?v=CmNz7hAAtLsLocation: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://www.youtube.com/watch?v=CmNz7hAAtLs
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/events/5149/why-are-human-laws-so-difficult-for-ai-to-follow/
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PhD Thesis Proposal - Soumya Sanyal
Fri, Oct 18, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
University Calendar
Presentation Title: Demystifying and Improving Large Language Models on Consistent Reasoning
Date and Time: 18th October, 11 AM - 12 PM
Location: OHE 114
Committee Members: Prof. Xiang Ren (Chair), Prof. Morteza Dehghani, Prof. Robin Jia, Prof. Jieyu Zhao
Presentation Abstract: Large Language Models (LLMs) have demonstrated remarkable performance on a variety of language tasks. Yet, a significant shortcoming of LLMs lies in their lack of consistency and generalization across diverse reasoning tasks. My thesis proposal aims to address this gap by systematically uncovering the limitations of LLMs in reasoning and developing methods to improve their reasoning consistency. The proposed research focuses on three core areas: (1) benchmarking the consistency of LLMs on deductive reasoning tasks, (2) accurately detecting inconsistencies in LLM reasoning across different language tasks, and (3) developing novel techniques to enhance the consistency and reliability of LLM reasoning. Through extensive research in these areas and proposed future thesis works, my proposal aims to make LLMs more consistent reasoners, ultimately minimizing the reasoning gap between humans and machines.Location: Olin Hall of Engineering (OHE) - 114
Audiences: Everyone Is Invited
Contact: Soumya Sanyal
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FBI STEM Career Paths Recruiting Session
Fri, Oct 18, 2024 @ 12:30 PM - 01:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event is for Viterbi engineering students only. Please register on Handshake.
Join us to learn about opportunities in STEM, the Honors Internship Program, navigating the FBI's hiring portal and preparing a comprehensive federal resume. Bring your questions!
Links:
Access to federal resume and core competencies:
Special Agent Documents and Downloads | FBIJOBS
FBI – Federal Bureau of Investigation - YouTube
All Engineering majors invited!
U.S. Citizens only
Individuals with disabilities who need accommodations to attend this event may contact Viterbi Career Connections at vcareers@usc.edu">vcareers@usc.edu or (213) 740-9677. It is requested that individuals requiring accommodations or auxiliary aids such as sign language interpreters and alternative format materials notify us at least 7 days prior to the event. Every reasonable effort will be made to provide reasonable accommodations in an effective and timely manner.Location: Virtual Event
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/
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MHI ISSS Seminar - Dr. Ioannis Savidis, Friday, October 18th at 2pm in EEB 132
Fri, Oct 18, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ioannis Savidis, Associate Professor, Drexel University
Talk Title: AI/ML for EDA: Learning Algorithms in Analog and Digital Design
Series: Integrated Systems
Abstract: In the ever-evolving landscape of Electronic Design Automation (EDA), the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms with traditional heuristic optimization algorithms has emerged as a transformative force in automated circuit design. This presentation delves into the dynamic intersection of AI/ML and EDA, exploring state-of-the-art techniques shaping the analog and digital physical design space. Machine learning, specifically deep learning, has the potential to significantly improve the accuracy, speed, efficiency, and reliability of EDA tasks such as circuit modeling, simulation, layout design, and optimization. Delving into such cutting-edge advancements, I will describe current AI/ML research performed by the ICE Lab that promises to transcend traditional paradigms, with the goal of enabling designers to navigate complexities with unparalleled efficiency and accuracy. Specifically, a focus on state-of-the-art learning and optimization techniques for the modeling and design of mixed-signal ICs will be presented and discussed. Practical considerations, challenges, and opportunities of ML algorithms for analog and digital circuit design will be discussed, with a focus on the use of such algorithms for prediction and optimization tasks within the EDA design flow.
Biography: Dr. Ioannis Savidis (S'03-M'13-SM'18) is an Associate Professor in the Department of Electrical and Computer Engineering at Drexel University, where he directs the Integrated Circuits and Electronics (ICE) Design and Analysis Laboratory. He received his B.S.E. from Duke University in 2005, and his M.Sc. and Ph.D. from the University of Rochester in 2007 and 2013, respectively. Dr. Savidis has authored over 130 technical papers in peer-reviewed journals and conferences, including a book on Three-Dimensional Integrated Circuit Design and holds 16 issued and five pending patents. His research interests include high-performance digital and mixed-signal integrated circuits, power management for SoC and microprocessor circuits, hardware security, AI/ML algorithms for circuit optimization, and electro-thermal modeling for 2-D and 3-D circuits. Dr. Savidis is a senior member of IEEE and has received two Best Paper Awards, the 2018 NSF CAREER Award, and the 2019 DoD DURIP Award. He serves on organizing committees for several conferences including IEEE HOST, ACM GLSVLSI, and IEEE ISCAS, and on technical program committees for DAC, ICCAD, MLCAD, and others. Dr. Savidis is a member of the VLSI Systems and Applications Technical Committee of the IEEE Circuits and Systems Society and serves on the editorial boards of IEEE Transactions on VLSI Systems, Microelectronics Journal, and ACM Transactions on Design Automation of Electronic Systems.
Host: Hossein Hashemi, Mike Chen and Constantine Sideris
Webcast: https://usc.zoom.us/j/94304141343More Information: MHI_Seminar_Flyer_Savidis_Oct18_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/94304141343
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski