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SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for September
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Epstein Seminar: Yayue Pan (University of Illinois at Chicago) - Multi-functional Additive Manufacturing of Smart Materials and Devices
Tue, Sep 07, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Yayue Pan, University of Illinois at Chicago
Talk Title: Multi-functional Additive Manufacturing of Smart Materials and Devices
Series: Epstein Institute Seminar
Abstract: By combining various materials that serve mechanical, electrical, chemical, thermal, and/or optical functions into a component with locally controlled distributions, we can produce composites and multi-material objects with a higher degree of functionality than would normally be found in a pure material part. In addition to material combination, by integrating hierarchial surface structures with dimensions spanning from nanoscale to macroscale, superior functions can be engineered and integrated into the component. However, to manufacture such multi-material multi-scale components directly out of a digital model without assembly, grand challenges still exist in material distribution and localized material phase control. In this talk, I will present our recent research in addressing these manufacturing challenges by integrating external fields in varied additive manufacturing processes. First, I will introduce external field assisted projection stereolithography technologies for productions of functional particle-polymer objects with hierarchical surface structures. After that, I will present a electrowetting-assisted direct ink writing technology for productions of conductive patterns on rough substrates at meters per second speeds for energy related applications. More energy related applications will be presented with a self-binding selective laser sintering method. In these additive manufacturing processes, I will discuss the effectiveness of integrations of external fields on controlling local material distributions and combining multiple materials. Applications of the 3D printed multi-functional materials and components in soft robotics, electronics packaging, and energy storage will be demonstrated.
More Info: Please email owh@usc.edu for Zoom Link
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Yayue Pan is an Associate Professor in the Department of Mechanical and Industrial Engineering at the University of Illinois at Chicago (UIC). Her research focuses on multi-material and multi-functional Additive Manufacturing processes for applications in anisotropic composites, sensing and actuating devices, energy management and storage. Dr. Pan holds a Ph.D. degree from the University of Southern California. Some of her recent awards include Outstanding Paper Award in 41st SME NAMRC conference, 2017 SME Outstanding Young Manufacturing Engineer Award, 2017 UIC College of Engineering Faculty Research Award, 2020 ASME CIE TC Leadership Award, and several awards from National Science Foundation of United States.
Host: Prof. Yong Chen
Location: Online Zoom Only
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Epstein Seminar: Stephen J. Wright (University of Wisconsin-Madison) - The Role of Complexity Bounds in Optimization
Tue, Sep 14, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Stephen J. Wright, University of Wisconsin-Madison
Talk Title: The Role of Complexity Bounds in Optimization
Abstract: Complexity analysis in optimization seeks upper bounds on the amount of work required to find approximate solutions of problems in a given class with a given algorithm, and also lower bounds, usually in the form of a worst-case example from a given problem class as regards the work required by a particular class of algorithms. The relationship between theoretical complexity bounds and practical performance of algorithms on "typical" problems varies widely across problem and algorithm classes, and relative interest among researchers between these two aspects of algorithm design and analysis has waxed and waned over the years. This talk surveys complexity analysis and its relationship to practice in optimization, with an emphasis on linear programming and convex and nonconvex nonlinear optimization, providing historical (and cultural) perspectives on research in these areas.
More Info: Please email owh@usc.edu for Zoom Link
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Stephen J. Wright holds the George B. Dantzig Professorship, the Sheldon Lubar Chair, and the Amar and Balinder Sohi Professorship of Computer Sciences at the University of Wisconsin-Madison. His research is in computational optimization and its applications to data science and many other areas of science and engineering. Prior to joining UW-Madison in 2001, Wright held positions at North Carolina State University (1986-1990) and Argonne National Laboratory (1990-2001). He has served as Chair of the Mathematical Optimization Society (2007-2010) and as a Trustee of SIAM for the maximum three terms (2005-2014). He is a Fellow of SIAM. In 2014, he won the W.R.G. Baker Award from IEEE for best paper in an IEEE archival publication during the three years 2009-2011. He was awarded the Khachiyan Prize by the INFORMS Optimization Society in 2020 for lifetime achievements in optimization, and received the NeurIPS Test of Time Award in 2020 for a paper presented at that conference in 2011. Prof. Wright is the author / coauthor of widely used text and reference books in optimization including "Primal Dual Interior-Point Methods" and "Numerical Optimization". He has published widely on optimization theory, algorithms, software, and applications. Prof. Wright served from 2014-2019 as Editor-in-Chief of the SIAM Journal on Optimization and previously served as Editor-in-Chief of Mathematical Programming Series B. He has also served as Associate Editor of Mathematical Programming Series A, SIAM Review, SIAM Journal on Scientific Computing, and several other journals and book series.
Host: Dr. Meisam Razaviyayn
Location: Online Zoom Only
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Epstein Seminar: David Woodruff (UC Davis) - Computing Bounds and Confidence Intervals for Stochastic Programs
Tue, Sep 21, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. David Woodruff, UC Davis
Talk Title: Computing Bounds and Confidence Intervals for Stochastic Programs
Series: Epstein Institute Seminar
Abstract: mpi-sppy (https://github.com/Pyomo/mpi-sppy) is a software package to allow for optimization of Pyomo optimization models uncertainty. In this talk we will overview design and performance considerations related to bounds and confidence intervals. Particular attention will be paid to issues associated with problems that have more than two stages and scenarios that do not exhibit stage-wise independence.
More Info: Please email owh@usc.edu for Zoom Link
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: David Woodruff earned his Ph.D. in Industrial Engineering and Management Sciences from Northwestern University. His current research primarily concerns computational aspects of optimization under uncertainty. His research includes solution algorithms, problem representation and modeling language support. He has worked on applications in operations, logistics, science, and has been involved recently in a number of applications in electrical energy planning and scheduling. He is one of the developers of Pyomo, (www.pyomo.org) that won the INFORMS Computing Society prize in 2019 and an R&D 100 award in 2016.
Host: Prof. Suvrajeet Sen
Location: Online Zoom Only
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CAIS Seminar: Sadiq Patel (Harvard Medical School) - The Telemedicine Use and Access to Health Care during the COVID-19 Pandemic
Tue, Sep 28, 2021 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Sadiq Patel, Harvard Medical School
Talk Title: The Telemedicine Use and Access to Health Care during the COVID-19 Pandemic
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Using population-level data of 16.7M commercially insured individuals in the US, we examine 1) trends in telemedicine use, 2) variation in telemedicine use by clinical specialty, diagnosis, and patient characteristics, and 3) community factors driving telemedicine use. This analysis uses the machine learning procedure of targeted maximum likelihood estimation.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN__jMcG86GQGKo6ppqXmz3vA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Sadiq Patel is a Postdoctoral Research Fellow at Harvard Medical School. He received his PhD and MS from the University of Chicago in Social Work and Biostatistics. Prior to his doctoral education, he was also a senior data scientist at Accenture.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/WN__jMcG86GQGKo6ppqXmz3vALocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN__jMcG86GQGKo6ppqXmz3vA
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Epstein Seminar: David Simchi-Levi (MIT) - Statistical Learning in Operations Management
Tue, Sep 28, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. David Simchi-Levi, MIT
Talk Title: Statistical Learning in Operations Management
Abstract: Traditionally, statistical learning is focused on either (i) online learning where data is generated online according to some unknown model; or (ii) offline learning where the entire data is available at the beginning of the process. In this talk we show that combining both approaches can accelerate learning. Specifically, we show that difficult online learning problems can be reduced to well-understood offline regression problems. We demonstrate the impact of our work in the context of product recommendation, multiclass classification problems, personalized medicine and dynamic pricing.
More Info: Please email owh@usc.edu for Zoom Link
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: David Simchi-Levi is a Professor of Engineering Systems at MIT and serves as the head of the MIT Data Science Lab. He is considered one of the premier thought leaders in supply chain management and business analytics. His Ph.D. students have accepted faculty positions in leading academic institutes including U. of California Berkeley, Carnegie Mellon U., Columbia U., Duke U., Georgia Tech, Harvard U., U. of Illinois Urbana-Champaign, U. of Michigan, Purdue U. and Virginia Tech. Professor Simchi-Levi is the current Editor-in-Chief of Management Science, one of the two flagship journals of INFORMS. He served as the Editor-in-Chief for Operations Research (2006-2012), the other flagship journal of INFORMS and for Naval Research Logistics (2003-2005). In 2020, he was awarded the prestigious INFORMS Impact Prize for playing a leading role in developing and disseminating a new highly impactful paradigm for the identification and mitigation of risks in global supply chains.
He is an INFORMS Fellow and MSOM Distinguished Fellow and the recipient of the 2020 INFORMS Koopman Award given to an outstanding publication in military operations research; Ford Motor Company 2015 Engineering Excellence Award; 2014 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice; 2014 INFORMS Revenue Management and Pricing Section Practice Award; and 2009 INFORMS Revenue Management and Pricing Section Prize. He was the founder of LogicTools which provided software solutions and professional services for supply chain optimization. LogicTools became part of IBM in 2009. In 2012 he co-founded OPS Rules, an operations analytics consulting company. The company became part of Accenture in 2016. In 2014, he co-founded Opalytics, a cloud analytics platform company focusing on operations and supply chain decisions. The company became part of the Accenture Applied Intelligence in 2018.
Host: Prof. Suvrajeet Sen
Location: Online Zoom Only
Audiences: Everyone Is Invited
Contact: Computer Science Department
