Select a calendar:
Filter November Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for the 3rd week of November
-
Meet USC: Admission Presentation, Campus Tour, and Engineering TalkMon, Nov 11, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
Register HereLocation: Ronald Tutor Campus Center (TCC) -
Audiences: Everyone Is Invited
Contact: Viterbi Admission
-
Viterbi Veterans Day Luncheon
Mon, Nov 11, 2019 @ 12:00 PM - 01:30 PM
Viterbi School of Engineering Doctoral Programs, Viterbi School of Engineering Graduate Admission, Viterbi School of Engineering Student Affairs
Receptions & Special Events
As a token of appreciation for our Veterans, Viterbi is hosting a special luncheon honoring our current and past service members.
Location: USC Hotel (RMH) - McKay's
Audiences: Everyone Is Invited
Contact: VASE Graduate Student Affairs
-
*CANCELLED* Fall 2019 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Nov 11, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andrea Serrani, Ohio State University
Talk Title: *THIS TALK IS CANCELLED* -- A Geometric Viewpoint on Dynamic Control Allocation
Abstract: Input redundancy in a control system is typically resolved by means of (static) control allocation strategies, where the standing assumptions prescribe that one can define a virtual control input that has the same dimensionality of the regulated output. A control strategy designed on the basis of this virtual input is then distributed across the redundant set of actuators via on-line optimization. Essentially, this scenario confines redundancy to the null-space of the input operator, which can be factored out by projection. On the other hand, for the case of input redundancy with full-rank input operators, multiple independently controllable state-trajectories exist that are compatible with a given reference output. In this talk, a comprehensive geometric characterization of input redundant linear systems is offered. It is shown that intrinsic input redundancy can be exploited in the system inverse rather than in the plant model itself, leading to the definition of novel dynamic control allocation strategies. In the proposed scheme, the steady-state behavior of the system is shaped through dynamic optimization of selected performance criteria penalizing both the control input and the state trajectory, while maintaining invariance of the error-zeroing subspace. Illustrative examples are presented to elucidate the applicability and the significance of the method.
Biography: Andrea Serrani received the Ph.D. degree in Artificial Intelligence Systems from the University of Ancona, Italy, in 1997 and the D.Sc. degree in Systems Science and Mathematics from Washington University in Saint Louis in 2000. Since 2002, he has been with the Department of Electrical and Computer Engineering at The Ohio State University, Columbus, Ohio, where he is currently a Professor and Associate Chair. His research activity spans the fields of control and systems theory, with emphasis on nonlinear and adaptive control, tracking and regulation, and application to aerospace and automotive systems. His latest interests include modeling and control of flapping-wing micro-air vehicles, control of multi-actuated powertrain systems, and guidance and control of hypersonic vehicles. He is the author of more than 150 journal and conference publications, and the co-author (with A. Isidori and L. Marconi) of the book Robust Autonomous Guidance - An Internal Model Approach, published by Springer Verlag. Prof. Serrani serves as the Editor-in-Chief of the IEEE Transactions on Control Systems Technology, and as an Associate Editor the IEEE CSS and IFAC Conference Editorial Boards. He is a past Associate Editor for Automatica and the International Journal of Robust and Nonlinear Control. He was the Program Chair of the 2019 American Control Conference and the General Co-Chair for the 2022 IEEE Conference on Decision and Control.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Info: http://csc.usc.edu/seminars/2019Fall/serrani.html
More Information: 191111_Andrea Serrani_CSC.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Brienne Moore
Event Link: http://csc.usc.edu/seminars/2019Fall/serrani.html
-
Remarkable Trajectory Lecture by Gerard Medioni
Mon, Nov 11, 2019 @ 04:00 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Prof. Gerard Medioni, USC
Talk Title: 40+ Years of Computer Vision at USC
Series: Remarkable Trajectory Lecture Series
Host: Computer Science Department
Location: University Club of USC, Scriptorium Room
Audiences: Everyone Is Invited
Contact: Computer Science Department
-
ISE 651 - Epstein Seminar
Tue, Nov 12, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Yong Huang, Professor, University of Florida
Talk Title: Bioprinting: Implementation, Process Dynamics, and Process-Induced Cell Injury
Host: Prof. Yong Chen
More Information: November 12, 2019.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Grace Owh
-
Astani Civil and Environmental Engineering Seminar
Tue, Nov 12, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Qizhi He, Pacific Northwest National Laboratory (PNNL)
Talk Title: Machine Learning Enhanced Computational Mechanics: Reduced-Order Modeling and Physics-Informed Data-Driven Computing
Abstract:
Advances in the field of machine learning and the increasing availability of data from laboratory/field observations and high-fidelity simulation are quickly changing how the world solves important scientific problems. In this talk, I will present our research on developing integrative computational methods that leverage both physics-based models and data-centric techniques to address various challenges in computational mechanics related to civil, mechanical, and biological applications.
First, I will introduce physics-preserving reduced order schemes that employ simulation data and subspace projection to reduce computational cost while preserving critical physical properties in modeling fracture mechanics and thermal fatigue of electronic packages. Second, I will describe a manifold learning-based data-driven computing approach for modeling complex materials, where physics-based simulation proceeds interactively with the local data manifold reconstructed from experimental data,circumventing the limitations of using phenomenological constitutive models.
Finally, I will discuss our recent work in PNNL on developing machine learning framework based on deep neural networks for discovering hidden physics and modeling subsurface flow and transport in heterogenous porous media. The proposed approach allows the seamless fusion and integration of measurements from multiphysics systems and the information provided by the physical conservation laws, which regularize the neural networks as informative priors. The effectiveness of meshfree methods for these data-driven computing will also be demonstrated.
This work is supported by NSF, US Army Engineer Research, and the DOE ASCR.
Biography: Dr. Qizhi He is currently a Postdoctoral Research Associate in the Advanced Computing, Mathematics and Data Division at Pacific Northwest National Laboratory (PNNL). He obtained his B.S. in Engineering Mechanics from Wuhan University, M.S. in Computational Mechanics from Dalian University of Technology, and M.A. in Applied Mathematics and Ph.D. in Structural Engineering from the University of California, San Diego (UCSD). His research mainly focuses on the development of machine learning enhanced computational methods to model complex biological and civil systems and provide solutions to protect real-life structures from extreme hazardous events. His work combines the concepts from physics-based modeling, machine learning, and meshfree type approximation and discretization
Host: Dr. Roger Ghanem
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
-
Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Wed, Nov 13, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
Register HereLocation: Ronald Tutor Campus Center (TCC) -
Audiences: Everyone Is Invited
Contact: Viterbi Admission
-
CAIS Seminar: Sheldon H. Jacobson (University of Illinois) - Creating a Transparent Environment for Political Redistricting
Wed, Nov 13, 2019 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Sheldon H. Jacobson, University of Illinois
Talk Title: Creating a Transparent Environment for Political Redistricting
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Political redistricting is a multi-criteria problem with conflicting objectives (based on metrics like compactness, population balance, and efficiency gaps, among others). Many of these metrics have received significant attention, though they remain controversial as to which such metrics are best suited to define fair district maps. This research uses a multi-objective optimization approach to reveal obstacles in defining fair district maps. The results obtained challenge a number of common perceptions of redistricting, suggesting that defining fair maps may not only be extremely difficult, but also, simply unrealistic.
This lecture satisfies requirements for CSCI 591: Research Colloquium. Please note, due to limited capacity in OHE 136, seats will be first come first serve.
Biography: Sheldon H. Jacobson is a Founder Professor of Computer Science at the University of Illinois. He has a B.Sc. and M.Sc. (both in Mathematics) from McGill University, and a M.S. and Ph.D. (both in Operations Research) from Cornell University. From 2012-2014, he was on leave from the University of Illinois, serving as a Program Director at the National Science Foundation. His research interests span theory and practice, covering decision-making under uncertainty and optimization-based artificial intelligence, with applications in aviation security, public policy, public health, and sports. He has been recognized by numerous awards, including a Guggenheim Fellowship from the John Simon Guggenheim Memorial Foundation. He is a fellow of both IISE and INFORMS.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Computer Science Department
-
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Nov 13, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Nikil Dutt, Distinguished Professor, University of California, Irvine
Talk Title: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Self-awareness and self-organization have a long history in biology, psychology, medicine, engineering and (more recently) computing. In the past decade this has inspired new self-aware/self-organizing strategies for building resilient computing platforms that can adapt to the (often conflicting) challenges of resiliency, energy, heat, cost, performance, security, etc. in the face of highly dynamic operational behaviors and environmental conditions. I will begin by outlining a computational self-awareness paradigm that enables adaptivity and which supports system resilience. I will show how computational self-awareness can be deployed to achieve cross-layer resilience on the exemplar CyberPhysical-Systems-on-Chip (CPSoC) platform. CPSoC is a new class of sensor-actuator rich many-core computing platform that intrinsically couples on-chip and cross-layer sensing and actuation to support computational self-awareness. Computational self-awareness is achieved through introspection (i.e., modeling and observing its own internal and external behaviors) combined with both reflexive and reflective adaptations via cross-layer physical and virtual sensing and actuations applied across multiple layers of the hardware/software system stack. Next I will outline strategies for combining computational self-awareness with self-organization for life-cycle management of dependable distributed computing platforms. Our ongoing NSF/DFG Information Processing Factory (IPF) project applies principles inspired by factory management that combine self-awareness and self-organization for continuous operation and optimization of highly-integrated-but-distributed embedded computing platforms. While each IPF computational component exhibits autonomy through self-awareness, collections of IPF entities can self-organize; the resulting emergent behavior must be controlled in order to ensure guaranteed service even under strict safety and availability requirements. I will outline strategies such as proactive reconfiguration to mitigate the risk of failures, self-optimization, self-identification using learning classifiers, and chip-level operation with flexible boundaries between critical and best effort regions, all guided by a self-aware planning component. The talk will conclude with the opportunities and challenges arising from adopting computational self-awareness and self-organization for making complex computational systems more resilient and self-adaptive.
Biography: Nikil Dutt is a Distinguished Professor of CS, Cognitive Sciences, and EECS at the University of California, Irvine, and also a Distinguished Visiting Professor of CSE at IIT Bombay, India. He received a PhD from the University of Illinois at Urbana-Champaign (1989). His research interests are in embedded systems, EDA, computer architecture and compilers, distributed systems, healthcare IoT, and brain-inspired architectures and computing. He has received numerous best paper awards and is coauthor of 7 books. Professor Dutt has served as EiC of ACM TODAES and AE for ACM TECS and IEEE TVLSI. He is on the steering, organizing, and program committees of several premier EDA and Embedded System Design conferences and workshops, and has also been on the advisory boards of ACM SIGBED, ACM SIGDA, ACM TECS and IEEE ESL. He is an ACM Fellow, IEEE Fellow, and recipient of the IFIP Silver Core Award.
Host: Jyotirmoy Deshmukh
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia White
-
AME Seminar
Wed, Nov 13, 2019 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Paolo Luzzatto-Fegiz,
Talk Title: Two Problems in Wall-Bounded Flow: Fluid Energy Extraction in Wind Farms, and Surfactant Effects in Superhydrophobic Drag Reduction
Abstract: In this talk, we consider two fluid problems directly linked to decarbonization efforts. In the first part, we investigate fundamental limits to the performance of large wind farms. Since wind turbines are often deployed in arrays of hundreds of units, wake interactions can lead to drastic losses in power output. Remarkably, while the theoretical Betz maximum has long been established for the output of a single turbine, no corresponding theory appears to exist for a generic, large-scale energy extraction system. We develop a model for an array of energy-extracting devices of arbitrary design and layout, first focusing on the fully-developed regime, which is relevant for large wind farms. We validate our model against data from field measurements, experiments and simulations. By defining a suitable ideal limit, we establish an upper bound on the performance of a large wind farm. This is an order of magnitude larger than the output of existing arrays, thus supporting the notion that large performance improvements may be possible.
In the second part of this talk, we examine flow past superhydrophobic surfaces (SHS). These coatings have long promised large drag reductions; however, experiments have provided inconsistent results, with many textures yielding little or no benefit. By performing surfactant-laden simulations and unsteadily-driven experiments, we demonstrate that surfactant-induced Marangoni stresses can be to blame. We find that extremely low surfactant concentrations, unavoidable in practice, can drastically increase drag, at least in laminar flows. To obtain accurate drag predictions on SHS, one must therefore solve the mass, momentum, bulk surfactant and interfacial surfactant conservation equations, which is not feasible in most applications. To address this issue, we propose a theory that captures how the near-surface dynamics depend on the seven dimensionless groups for surfactant. We validate our theory extensively in 2D, and describe progress toward 3D and turbulent models. Our theory significantly improves predictions relative to a surfactant-free one, which can otherwise overestimate drag reduction by several orders of magnitude.
Here are links to papers/resources that form the basis for this talk:
https://doi.org/10.1103/PhysRevFluids.3.093802
https://doi.org/10.1073/pnas.1702469114
https://doi.org/10.1103/PhysRevFluids.3.100507
https://doi.org/10.1103/APS.DFD.2017.GFM.V0098
https://arxiv.org/abs/1904.01194
Biography: Paolo Luzzatto-Fegiz graduated with a BEng in Aerospace Engineering from the University of Southampton, where he received the Royal Aeronautical Society Prize for highest first-class degree and the Graham Prize for best experimental project in the School of Engineering Sciences. After a summer working with the ATLAS Magnet Team at CERN, he completed an MSc in Applied Mathematics at Imperial College, and an MS and PhD in Aerospace Engineering at Cornell University. His doctoral work received the Acrivos Award of the American Physical Society for outstanding dissertation in Fluid Dynamics at a U.S. university. He was awarded a Devonshire Postdoctoral Scholarship from the Woods Hole Oceanographic Institution, as well as a Junior Research Fellowship from Churchill College, Cambridge. He is currently an Assistant Professor in Mechanical Engineering at UCSB, where he has received the Northrop Grumman Teaching Award and a Gallery of Fluid Motion Award from APS-DFD. He co-invented a salinity sensor for oceanography that has been adopted by 20 institutions, and led the first microgravity experiment from NSF CBET, which successfully returned in January 2019 from the International Space Station.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Location: 102
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
-
PhD Thesis Proposal - Michael Tsang
Thu, Nov 14, 2019 @ 10:00 AM - 11:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Interpretable Machine Learning Models via Feature Interaction Discovery
Date/Time: Thursday, November 14th 10-11:30am
Location: SAL 322
Candidate: Michael Tsang
Committee: Prof. Yan Liu (adviser), Prof. Joseph Lim, Prof. Maja Mataric, Prof. Emily Putnam Hornstein, Prof. Xiang Ren
The impact of machine learning prediction models has created a growing need for us to understand why they make their predictions. The interpretation of these models is important to reveal their fundamental behavior, to obtain scientific insights into data, and to help us trust automatic predictions. In this thesis proposal, we advance these directions via the problem of feature interaction discovery. We develop a way to interpret the feature interactions in feedforward neural networks by tracing their learned weights. We follow-up on this method and develop a way of learning transparent neural networks. Lastly, we investigate applications of this work on interpreting black-box models beyond feedforward neural networks, such as image/text classifiers and recommender systems. Throughout this presentation, we will explain the physical meaning and practical importance of our feature interaction interpretations.Location: Henry Salvatori Computer Science Center (SAL) - 322
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
-
Theory Lunch
Thu, Nov 14, 2019 @ 12:15 PM - 02:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mengxiao Zhang, CS PhD Student
Talk Title: Gradient Descent Provably Optimizes Over-Parameterized Neural Networks
Abstract: This talk is on the paper "Gradient Descent Provably Optimizes Over-Parameterized Neural Networks," which is about how techniques like gradient descent have zero training loss even for objective functions that are non-convex and non-smooth.
Host: Shaddin Dughmi
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Cherie Carter
-
CS Colloquium: Bryan Perozzi (Google AI) - Machine Learning on Graphs
Thu, Nov 14, 2019 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Bryan Perozzi, Google AI
Talk Title: Machine Learning on Graphs
Series: Computer Science Colloquium
Abstract: Machine Learning on Graphs (also known as Relational Learning, or Graph-Based Machine Learning) is a branch of ML which focuses on problems where the data items (nodes) contain discrete relationships (edges) between themselves (usually in addition to traditional real-valued feature vectors). The structure of these links between unlabelled data items can be leveraged for both semi-supervised learning and unsupervised learning algorithms.
In this talk, I will provide an overview of the area, and some recent results from our team in clustering and representation learning. When appropriate, I will try to motivate our research with examples of real world problems.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Bryan Perozzi is a Senior Research Scientist in Google AI's Algorithms and Optimization group, where he routinely analyzes some of the world's largest (and perhaps most interesting) graphs. Bryan's research focuses on developing techniques for learning expressive representations of relational data with neural networks. These scalable algorithms are useful for prediction tasks (classification/regression), pattern discovery, and anomaly detection in large networked data sets.
Bryan is an author of 20+ peer-reviewed papers at leading conferences in machine learning and data mining (such as ICML, NeurIPS, KDD, and WWW). His doctoral work on learning network representations was awarded the 2017 KDD Dissertation Award. Bryan received his Ph.D. in Computer Science from Stony Brook University in 2016, and his M.S. from the Johns Hopkins University in 2011.
Host: Sami Abu-El-Haija
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
-
Viterbi Impact Program: Reflection Session #2
Thu, Nov 14, 2019 @ 03:30 PM - 04:30 PM
Viterbi School of Engineering Student Organizations
Workshops & Infosessions
Viterbi Impact Program participants are invited to come together, connect with others in the program, and reflect/make meaning from their experiences volunteering.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: Viterbi Undergraduate Programs
-
Sonny Astani Civil and Environmental Engineering Seminar
Thu, Nov 14, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Michael Kleeman, Ph.D., University of California, Davis
Talk Title: Long-term exposure modeling for ultrafine particulate matter
Abstract: See attached
Host: Dr. George Ban-Weiss
More Information: M. Kleeman_Abstract 11-14-2019.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
-
Women in Engineering Meets Women in Industry
Thu, Nov 14, 2019 @ 06:00 PM - 08:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Organizations
Workshops & Infosessions
Women in Engineering (WIE) Meets Women in Industry (WII) is a program designed to provide current Viterbi women the opportunity to meet with professional women in the field and gain insight on the unique challenges female engineers face. Through an engaging panel of Viterbi alumnae from varying backgrounds, participants can gain insight on the experience of transitioning from student life to professional careers, challenges women face in the workplace, and successes they-have achieved.
We are excited to have 9 alumnae on the panel from LA Sanitation and Environment (LASAN), Boeing, Lockheed Martin, Northrop Grumman, The Aerospace Corporation, MOOG, the Viterbi School of Engineering, and more.
This promises to be an amazing event with great conversations and mentorship from engineering women eager to meet you and share their experiences and wisdom! Please join us.
RSVP at http://bit.ly/wiemeetswii19
Dinner will be provided!Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Fri, Nov 15, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
Register HereLocation: Ronald Tutor Campus Center (TCC) -
Audiences: Everyone Is Invited
Contact: Viterbi Admission
-
USC Women in Entrepreneurship event @ NFX SF
Fri, Nov 15, 2019 @ 05:30 AM - 07:30 PM
Viterbi School of Engineering Alumni
University Calendar
SAVE THE DATE
USC Women in Entrepreneurship event will be coming to NFX San Francisco on Friday, November 15, 2019.
Registration details coming up shortly.Audiences: Everyone Is Invited
Contact: Tiffany Tay
-
Graduate Engineering Preview Day
Fri, Nov 15, 2019 @ 09:00 AM - 02:00 PM
Viterbi School of Engineering Graduate Admission
Receptions & Special Events
Preview Day is the Viterbi Schools annual visitation day for students interested in pursuing a master's or Ph.D. program at one of the top-ranked graduate engineering institutions in the nation. Attendees will:
-meet with Viterbi faculty, staff and current students
-tour the USC University Park Campus in Los Angeles, California
-learn more about our graduate programs in engineering & computer science
-receive an application fee waiver
Attendee criteria:
-Have earned or are candidates to earn at least a Bachelor of Science degree in engineering, computer science, math, or hard science (such as physics, chemistry or biology) (Required)
-Undergraduate GPA of 3.0 or higher (Recommended)
Info and registration at: https://viterbigradadmission.usc.edu/mspreview/Audiences: Students with an undergraduate background in engineering, computer science, math or physical science
Contact: Viterbi Admission & Student Engagement
-
Processing in Memory (PIM) – Power and Thermal Challenges and Opportunities
Fri, Nov 15, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mircea Stan, University of Virginia
Talk Title: Processing in Memory (PIM) -“ Power and Thermal Challenges and Opportunities
Abstract: Memory technology is a defining component of modern computing and has a strong impact on performance, power and cost of computing systems. However, the advances in memory performance have not been able to keep up with the performance advances for CPUs, thus leading to what is known as the memory wall. Depending on the application, the memory wall manifests itself both in terms of memory latency, as well as memory bandwidth. An interesting solution to the memory wall problem is to bring memory closer to the processor, or vice-versa, to move some processing capability in the memory itself -“ this leads to variations of what is known as Near-Memory Processing, Processing in Memory (PiM), etc. This seminar will first introduce a PIM taxonomy along several dimensions of the PiM design space; it will then follow with a history of PIM, then go over several recent PIM examples. The seminar will then go in-depth into the Thermal/Power delivery challenges for PIM that are a result of the increased switching activities inherent to the moving of processing into the memory fabric, and exacerbated by the evolution towards 3D integration due to the slow-down of traditional Moore law methods. The seminar will conclude with some novel solutions that alleviate the Thermal/Power challenges for PiM.
Biography: Mircea R. Stan received the Ph.D. (1996) and the M.S. (1994) degrees from UMass Amherst and the Diploma (1984) from the Polytechnic Institute in Bucharest, Romania. Since 1996 he has been with the ECE Department at UVa, where he is now the Virginia Microelectronics Consortium (VMEC) Professor. Prof. Stan is teaching and doing research in the areas of high-performance low-power VLSI, temperature-aware circuits and architecture, embedded systems, spintronics, and nanoelectronics. He leads the High-Performance Low-Power (HPLP) lab, is an associate director of the Center for Automata Processing (CAP) and an assistant director of the Center for Research in Intelligent Storage and Processing-in-Memory (CRISP). He was a visiting faculty at UC Berkeley in 2004-2005, at IBM in 2000, and at Intel in 2002 and 1999. He received the 2018 Influential ISCA Paper Award (For 2003 paper Temperature-aware microarchitecture), the NSF CAREER award in 1997 and was a co-author on best paper awards at LASCAS19, SELSE17, ISQED08, GLSVLSI06, ISCA03 and SHAMAN02 and IEEE Micro Top Picks in 2008 and 2003. He gave keynotes at DCAS18, SOCC16, CogArch16, WoNDP15, iNIS15 and CNNA14. He was the chair of the VSA-TC of IEEE CAS in 2005-2007, general chair for ISLPED06 and GLSVLSI04, TPC chair for SOCC18, ISVLSI17, NanoNets07 and ISLPED05, and on technical committees for numerous conferences. He is Associate Editor-in-Chief for the IEEE TVLSI, Senior Editor for the IEEE TNano, AE for IEEE Design & Test, and was an AE for the IEEE TNano in 2012-2014, IEEE TCAS I in 2004-2008 and for the IEEE TVLSI in 2001-2003. Prof. Stan is a fellow of the IEEE, a member of ACM, and of Eta Kappa Nu, Phi Kappa Phi and Sigma Xi.
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 191115_Mircea Stan_CENG.pdf
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: Brienne Moore
-
Discover USC Open House
Sat, Nov 16, 2019 @ 09:00 AM - 04:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
DISCOVER USC FEATURES: A presentation from Viterbi Admission, Campus Tours, Panel Discussions with Viterbi Students, Lab Tours, the Viterbi Student Organization EXPO and more!
This full day program will provide you and your family with an opportunity to meet staff from Undergraduate Admission, Financial Aid and the Viterbi School of Engineering, in addition to current Viterbi students and faculty.
During the Discover USC, the Viterbi School hosts an Engineering Expo. The Expo is an open house for our students, faculty, and staff to showcase the numerous opportunities to get involved. We will host information sessions about academic services and provide tours of the labs used by our undergraduate student design teams and research projects.
Check out the Viterbi Expo Page to learn more about the event and see all the items we hosted at last years expo!Location: George Finley Bovard Administration Building (ADM) -
Audiences: Prospective Students & Family Members
Contact: Viterbi Admission
