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Conferences, Lectures, & Seminars
Events for October
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Advanced Manufacturing: Recent Advances, Challenges, and Opportunities
Fri, Oct 01, 2021 @ 12:00 PM - 01:30 PM
Viterbi School of Engineering Alumni
Conferences, Lectures, & Seminars
Speaker: Several Faculty, USC Viterbi School of Engineering
Talk Title: Recent Advances, Challenges, and Opportunities
Abstract: USC Center for Advanced Manufacturing is hosting a session titled "Advanced Manufacturing: Recent Advances, Challenges, and Opportunities" to celebrate National Manufacturing Day.
Featured presentations include:
12 to 12:15 PM Yong Chen (In-situ-transfer Additive Manufacturing for Micro-channels with Controlled Thickness)
12:15 to 12:30 PM Qiming Wang (Advanced Manufacturing of Bioinspired Living Materials with Artificial Metabolism)
12:30 to 12:45 PM Hangbo Zhao (Unconventional Micro- and Nanomanufacturing for Functional Three-Dimensional Systems)
12:45 to 1:00 PM Stephen Lu (Workforce Conversation -“ A Key to Future Competitiveness of American Manufacturing)
1:00 to 1:15 PM Qiang Huang (Quality Control as a Computational Service)
1:15 to 1:30 PM SK Gupta (Human-Centric Manufacturing Automation)
Host: USC Center for Advanced Manufacturing
More Info: https://usc.zoom.us/webinar/register/WN_lCMnKnczRZiyOohL0LnBPQ
Audiences: Everyone Is Invited
Contact: Kristy Ly
Event Link: https://usc.zoom.us/webinar/register/WN_lCMnKnczRZiyOohL0LnBPQ
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ISE 651 - Epstein Seminar
Tue, Oct 05, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Amy Ward, Rothman Family Professor of Operations Management and Charles M. Harper Faculty Fellow, Chicago Booth
Talk Title: Behavior-Aware Queueing: The Finite-Buffer Setting with Many Strategic Servers
Host: Prof. Ali Abbas
More Info: Please email owh@usc.edu for Zoom Link
More Information: October 5, 2021.pdf
Location: Zoom/Online
Audiences: Everyone Is Invited
Contact: Grace Owh
Event Link: Please email owh@usc.edu for Zoom Link
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CS Distinguished Lecture: Tomas Lozano-Perez (MIT) - Generalization in Planning and Learning for Robotic Manipulation
Tue, Oct 05, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Tomas Lozano-Perez, Massachusetts Institute of Technology (MIT)
Talk Title: Generalization in Planning and Learning for Robotic Manipulation
Series: Computer Science Distinguished Lecture Series
Abstract: An enduring goal of AI and robotics has been to build a robot capable of robustly performing a wide variety of tasks in a wide variety of environments; not by sequentially being programmed (or taught) to perform one task in one environment at a time, but rather by intelligently choosing appropriate actions for whatever task and environment it is facing. This goal remains a challenge. In this talk I'll describe recent work in our lab aimed at the goal of general-purpose robot manipulation by integrating task-and-motion planning with various forms of model learning. In particular, I'll describe approaches to manipulating objects without prior shape models, to acquiring composable sensorimotor skills, and to exploiting past experience for more efficient planning.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_K4eWcqebRsWT20GhOAbi-g
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Tomas Lozano-Perez is professor in EECS at MIT, and a member of CSAIL. He was a recipient of the 2011 IEEE Robotics
Pioneer Award and a co-recipient of the 2021 IEEE Robotics and Automation Technical Field Award. He is a Fellow of the AAAI, ACM, and IEEE.
Host: Stefanos Nikolaidis
Webcast: https://usc.zoom.us/webinar/register/WN_K4eWcqebRsWT20GhOAbi-gLocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_K4eWcqebRsWT20GhOAbi-g
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Oct 06, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Monroe Kennedy III, Mechanical Engineering, with a courtesy appointment in Computer Science at Stanford University
Talk Title: Considerations for Human-Robot Collaboration
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: The field of robotics has evolved over the past few decades. We've seen robots progress from the automation of repetitive tasks in manufacturing to the autonomy of mobilizing in unstructured environments to the cooperation of swarm robots that are centralized or decentralized. These abilities have required advances in robotic hardware, modeling, and artificial intelligence. The next frontier is robots collaborating in complex tasks with human teammates, in environments traditionally configured for humans. While solutions to this challenge must utilize all of the advances of robotics, the human element adds a unique aspect that must be addressed. Collaborating with a human teammate means that the robot must have a contextual understanding of the task as well as all participant's roles. We will discuss what constitutes an effective teammate and how we can capture this behavior in a robotic collaborator.
Biography: Monroe Kennedy III is an assistant professor in Mechanical Engineering and courtesy of Computer Science at Stanford University. He leads the Assistive Robotics and Manipulation laboratory (arm.stanford.edu), which develops robotic assistants by focusing on combining modeling and control techniques together with machine learning tools. Together, these techniques will improve robotic performance for tasks that are highly dynamic, require dexterity, have considerable complexity, and require human-robot collaboration. Prof. Kennedy received his Ph.D. in Mechanical Engineering and Applied Mechanics and Masters in Robotics at the University of Pennsylvania and was a member of the GRASP Lab. He was the recipient of GEM and NSF graduate fellowships. During his graduate studies, his research focused on increasing the abilities and effectiveness of robotic mobile manipulators performing complex service tasks in unstructured environments with considerations for working alongside human collaborators.
Host: Pierluigi Nuzzo and Feifei Qian
Webcast: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQ
Audiences: Everyone Is Invited
Contact: Talyia White
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AME Seminar
Wed, Oct 06, 2021 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Diego Donzis, TAMU
Talk Title: Rethinking Compressible Turbulence: From New Regimes to Extreme Simulations
Abstract: Compressible turbulence is much more common than incompressible turbulence and plays a critical role in countless natural and engineering systems such as astrophysical flows, high-speed aerodynamics, turbulent combustion, among many others. However, much less is known about compressible turbulence due to its larger parameter space; the additional complexity associated with coupling between hydrodynamics and thermodynamics; and the greater challenges to develop theory, attain realistic conditions in simulations, and conduct carefully controlled experiments.
In the first part of this talk I will review recent work that highlights some qualitative differences observed in compressible turbulence using a massive database of very well-resolved direct numerical simulations. After some illustrations of specific compressibility effects on turbulent flows, I will show why current approaches as "corrections" to well-known laws in incompressible turbulence present fundamental problems and then `provide a new alternative interpretation of statistical equilibria in an expanded parameter space in which new compressible universal scaling laws can be found. In the second this part, I will present current computational challenges to achieve more realistic conditions and a novel numerical approach in which the main well-known obstacles towards simulations on exascale systems and beyond can be removed. We will present some examples for smooth flows as well as flows with shocks and reactions.
Biography: Diego A. Donzis is an associate professor and Director of Graduate Programs in the Department of Aerospace Engineering at Texas A&M University where he directs the Turbulence and Advanced Computations Lab (TACL). He received his PhD from the Georgia Institute of Technology and continued his research at the University of Maryland and the International Centre for Theoretical Physics, Italy. His main interests are in high-performance computing at extreme scales, and the physics of turbulence and turbulent mixing in incompressible and compressible flows. Among his major recognitions Dr. Donzis received an NSF CAREER award, the Francois Frenkiel Award from the American Physical Society, TAMU Dean of Engineering Excellence Award, three TEES Faculty Awards for research, the McElmurry Teaching Excellence Award, and is a best graduate from Argentina by the National Academy of Engineering. In 2018, he was named a Presidential Impact Fellow by Texas A&M University for his scholarly influence. He is an AIAA Associate Fellow.
Host: AME Department
More Info: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Webcast: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
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Astani Department of Civil and Environmental Engineering Seminar
Thu, Oct 07, 2021 @ 11:00 AM - 12:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Thanasis Fokas, Adjunct Professor, Astani Civil and Environmental Engineering and at the Department of Biomedical Engineering
Talk Title: Heat and Wave Equations Revisited: Beyond Fourier and'Alembert
Abstract: Please see attached abstract and bio.
Host: Dr. Felipe de Barros
More Info: https://usc.zoom.us/j/99680049945? Passcode: 905716
More Information: A. Fokas Abstract-bio.pdf
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
Event Link: https://usc.zoom.us/j/99680049945? Passcode: 905716
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NL Seminar- ROBUST AND IMPLICIT COMMONSENSE INFERENCE FOR SMOOTH COMMUNICATION
Thu, Oct 07, 2021 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Pei Zhou , USC/ISI
Talk Title: ROBUST AND IMPLICIT COMMONSENSE INFERENCE FOR SMOOTH COMMUNICATION
Series: NL Seminar
Abstract: REMINDER: Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you're highly encouraged to use your USC account to sign into Zoom. If you're an outside visitor, please inform nlg DASH seminar DASH host AT isi.edu beforehand so we'll be aware of your attendance and let you in.
Smooth and effective communication requires the ability to make implicit commonsense inferences that are robust to paraphrases. In this talk, I will mainly introduce my work on examining whether pre trained language models PTLMs can perform robust commonsense inferences and whether response generation RG models understand why a response sounds coherent. I will briefly present my other work on learning common sense in dialogue response generation.
In the pursuit of advancing fluid human AI communication, we first propose a new challenge, RICA Robust Inference using Commonsense Axioms, that evaluates robust commonsense inference despite textual perturbations. RICA consists of a set of natural language statements in the premise conclusion format that require reasoning using latent implicit commonsense relationships. We formulate these abstract commonsense relations between entities in first order logic and refer to them as commonsense axioms.
We also introduce CEDAR Common Sense in Dialogue Response Generation. CEDAR is a probing framework that aims to understand why RG models respond as they do by probing RG models understanding of commonsense reasoning that elicits proper responses. We formalize the problem by framing commonsense as a latent variable in the RG task and using explanations for responses as textual form of commonsense.
Biography: Pei Zhou is a third year Ph.D. student in Computer Science at the University of Southern California USC and Information Sciences Institute ISI co advised by Professors Xiang Ren and Jay Pujara. Pei graduated with a Bachelor of Science degree in Mathematics of Computation from UCLA in 2019, where he worked closely with Profs. Kai-Wei Chang and Yizhou Sun. In summers of 2021 and 2020, Pei interned as an applied scientist at Amazon Alexa AI, dialogue modeling team. Pei's current research focus lies in commonsense reasoning in dialogue response generation. He is also broadly interested in knowledge grounding in language, robustness, and fairness in NLP.
Host: Jon May and Thamme Gowda
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://www.youtube.com/watch?v=Gx1wKxqRy1cLocation: Information Science Institute (ISI) - Virtual
WebCast Link: https://www.youtube.com/watch?v=Gx1wKxqRy1c
Audiences: NL Seminar
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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Ming Hsieh Institute Seminar Series on Integrated Systems
Fri, Oct 08, 2021 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: David Z. Pan, Professor, The University of Texas at Austin
Talk Title: Toward Agile and Open-Source Design Automation of Digital/Analog/Mixed-Signal ICs
Host: Mike Chen, Hossein Hashemi, Manuel Monge, Constantine Sideris
More Info: https://usc.zoom.us/j/94701912463?pwd=eW1KVmhuODFHdHpMemhQbTllMEZ6Zz09
More Information: MHI IS Seminar - David Pan_Flyer.pdf
Audiences: Everyone Is Invited
Contact: Jenny Lin
Event Link: https://usc.zoom.us/j/94701912463?pwd=eW1KVmhuODFHdHpMemhQbTllMEZ6Zz09
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Mork Family Department Ph.D. Dissertation Presentation - Minh Tran
Mon, Oct 11, 2021 @ 01:00 PM - 02:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Minh Tran, Mork Family Department of Chemical Engineering and Materials Science
Talk Title: A novel multiphysics coupled framework to model fluid flow, solute transport, and reservoir geomechanics in fractured porous media
Abstract: Join Zoom Meeting
https://usc.zoom.us/j/99286039027?pwd=Zncwb2dqUmd4MEZ3NVVMQWNCeW5uUT09
Meeting ID: 992 8603 9027
Passcode: 669210
Despite recent advances in modeling flow and geomechanics coupling, a holistic multiphysics approach to capturing the coupling synergy between fluid flow, injectant transport, induced stresses, and fracture mechanics is lacking. There is a growing interest in developing an integrated multiphysics simulator to investigate physical processes during fluid injection into a fractured reservoir, i.e. injection-induced deformation and stresses, dissolution and spreading of the injected fluid, and convective instabilities originating from the contrast in injected and resident fluid properties, e.g. viscous fingering.
I develop a holistic computational modeling framework that couples reservoir geomechanics, fluid flow, solvent transport, and fracture dynamics. The first objective is to quantitatively characterize the effect of geomechanical coupling on key macroscopic transport phenomena such as spreading, mixing, and viscous fingering. The second objective is to probe the impact of poroelasticity on the temporal and spatial evolution of embedded fracture networks in terms of induced permeability, dynamic propagation, and fracture interactions. The third objective is to investigate how flow-transport coupling and fracture dynamics modulate the stress state and geomechanical stability of stress-sensitive subsurface formations.
The findings of this study are relevant in many practical applications such as waste disposal, carbon dioxide sequestration, contaminant transport, enhanced oil recovery, and tracer surveillance.
Host: Minh Tran
More Info: https://usc.zoom.us/j/99286039027?pwd=Zncwb2dqUmd4MEZ3NVVMQWNCeW5uUT09
Webcast: https://usc.zoom.us/j/99286039027?pwd=Zncwb2dqUmd4MEZ3NVVMQWNCeW5uUT09More Information: PhD_Defense_Minh_Tran_Flyer.pdf
WebCast Link: https://usc.zoom.us/j/99286039027?pwd=Zncwb2dqUmd4MEZ3NVVMQWNCeW5uUT09
Audiences: Everyone Is Invited
Contact: Greta Harrison
Event Link: https://usc.zoom.us/j/99286039027?pwd=Zncwb2dqUmd4MEZ3NVVMQWNCeW5uUT09
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Photonics Seminar Series
Tue, Oct 12, 2021 @ 01:30 AM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jiefei Zhang, Professor University of Southern California
Talk Title: On-Chip Scalable Ordered Single Photon Sources: A Step Closer to Quantum Optical Circuits
Series: Photonics Seminar
Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu
More Info: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Webcast: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09More Information: Photonics Seminar _Jiefei Zhang 10-12-21.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Audiences: Everyone Is Invited
Contact: Jennifer Ramos/Electrophysics
Event Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
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***CANCELLED*** No ISE 651 - Epstein Seminar
Tue, Oct 12, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Location: Zoom/Online
Audiences: Everyone Is Invited
Contact: Grace Owh
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CS Colloquium: Thomas Howard (University of Rochester) - Enabling Grounded Language Communication for Human-Robot Teaming
Tue, Oct 12, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Thomas Howard, University of Rochester
Talk Title: Enabling Grounded Language Communication for Human-Robot Teaming
Series: Computer Science Colloquium
Abstract: The ability for robots to effectively understand natural language instructions and convey information about their observations and interactions with the physical world is highly dependent on the sophistication and fidelity of the robot's representations of language, environment, and actions. As we progress towards more intelligent systems that perform a wider range of tasks in a greater variety of domains, we need models that can adapt their representations of language and environment to achieve the real-time performance necessitated by the cadence of human-robot interaction within the computational resource constraints of the platform. In this talk I will review my laboratory's research on algorithms and models for robot planning, mapping, control, and interaction with a specific focus on language-guided adaptive perception and bi-directional communication with deliberative interactive estimation.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_Rf6FW9NNSIWBkuNs9P5EcQ
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Thomas Howard is an assistant professor in the Department of Electrical and Computer Engineering at the University of Rochester. He also holds secondary appointments in the Department of Biomedical Engineering and Department of Computer Science, is an affiliate of the Goergen Institute of Data Science and directs the University of Rochester's Robotics and Artificial Intelligence Laboratory. Previously he held appointments as a research scientist and a postdoctoral associate at MIT's Computer Science and Artificial Intelligence Laboratory in the Robust Robotics Group, a research technologist at the Jet Propulsion Laboratory in the Robotic Software Systems Group, and a lecturer in mechanical engineering at Caltech.
Howard earned a PhD in robotics from the Robotics Institute at Carnegie Mellon University in 2009 in addition to BS degrees in electrical and computer engineering and mechanical engineering from the University of Rochester in 2004. His research interests span artificial intelligence, robotics, and human-robot interaction with a research focus on improving the optimality, efficiency, and fidelity of models for decision making in complex and unstructured environments with applications to robot motion planning, natural language understanding, and human-robot teaming. Howard was a member of the flight software team for the Mars Science Laboratory, the motion planning lead for the JPL/Caltech DARPA Autonomous Robotic Manipulation team, and a member of Tartan Racing, winner of the 2007 DARPA Urban Challenge. Howard has earned Best Paper Awards at RSS (2016) and IEEE SMC (2017), two NASA Group Achievement Awards (2012, 2014), was a finalist for the ICRA Best Manipulation Paper Award (2012) and was selected for the NASA Early Career Faculty Award (2019). Howard's research at the University of Rochester has been supported by National Science Foundation, Army Research Office, Army Research Laboratory, Department of Defense Congressionally Directed Medical Research Program, National Aeronautics and Space Administration, and the New York State Center of Excellence in Data Science.
Host: Stefanos Nikolaidis
Webcast: https://usc.zoom.us/webinar/register/WN_Rf6FW9NNSIWBkuNs9P5EcQLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_Rf6FW9NNSIWBkuNs9P5EcQ
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Oct 13, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Vasileios Vasilopoulos, Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory (CSAIL) MIT
Talk Title: Reactive Task and Motion Planning in Unknown Environments
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Unlike the problem of safe task and motion planning in a completely known environment, the setting where the obstacles in a robot's workspace are not initially known and are incrementally revealed online has so far received little theoretical interest, with existing algorithms usually demanding constant replanning in the presence of unanticipated conditions. In this talk, I will present a hierarchical framework for task and motion planning in the setting of mobile manipulation, which exploits recent developments in semantic SLAM and object pose and triangular mesh extraction using convolutional neural net architectures. Under specific sufficient conditions, formal results accompanying the (online) lower-level vector field motion planner guarantee collision avoidance and convergence to fixed or slowly moving targets, for both a single robot and a robot gripping and manipulating objects. Using this reactive motion planner as a module for high-level task planning, I will discuss how we can efficiently solve geometric rearrangement tasks with legged robots or satisfy complicated temporal logic specifications involving gripping and manipulating objects of interest, in previously unexplored workspaces cluttered with non-convex obstacles.
Biography: Vasileios is a Postdoctoral Associate at MIT CSAIL, working with Prof. Nicholas Roy. His research focuses on reactive task and motion planning in partially known or completely unknown environments. He is particularly interested in developing algorithms that make autonomous robots capable of interacting with the physical environment around them and solving tasks that require autonomous mobile manipulation. To this end, he frequently employs tools from motion planning, topology and perception. He obtained a Ph.D. in Mechanical Engineering from the University of Pennsylvania, advised by Dan Koditschek. He also holds a M.S.E. from the University of Pennsylvania and a Diploma from the National Technical University of Athens, both in Mechanical Engineering.
Host: Pierluigi Nuzzo and Feifei Qian
Webcast: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQ
Audiences: Everyone Is Invited
Contact: Talyia White
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AME Seminar
Wed, Oct 13, 2021 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Ann Karagozian, UCLA
Talk Title: Dynamics of Acoustically Coupled Combustion Instabilities
Abstract: Acoustically-coupled combustion instabilities can result in large scale, potentially catastrophic pressure oscillations in aerospace propulsion systems, including liquid rocket engines (LREs) and gas turbine engines. A fundamental understanding of the interactions among flow and flame hydrodynamics, acoustics, and reaction kinetics is essential to determining combustor stability and controlling combustion processes. Over the past several years our group at the UCLA Energy and Propulsion Research Laboratory has been pursuing fundamental experiments that can shed light on combustion instabilities and their control, including exploration of the effects of external acoustic perturbations on liquid nanofuel combustion as well as gas-phase fuel jet combustion for alternative geometrical configurations. The dynamics of phenomena such as periodic liftoff and reattachment, periodic partial extinction and reignition, and full extinction are explored and quantified via phase-locked OH* chemiluminescence and high speed visible imaging. Proper orthogonal decomposition (POD) modes and phase portraits extracted from time-resolved imaging enables characterization of characteristic signatures associated with different phenomena. Understanding such signatures enables development of reduced order models that can impact eventual combustion control strategies.
Biography: Ann Karagozian is a Distinguished Professor in the Department of Mechanical and Aerospace Engineering at UCLA and heads the UCLA Energy and Propulsion Research Laboratory and the UCLA-Air Force Research Laboratory Collaborative Center for Aerospace Sciences. Her research interests lie in fluid mechanics and combustion as applied to improved energy efficiency, reduced emissions, and advanced air breathing and rocket propulsion systems. Professor Karagozian was a member of the Air Force Scientific Advisory Board for over 15 years, serving as SAB Vice Chair from 2005-2009 and twice receiving the Air Force Decoration for Exceptional Civilian Service. She is a Member of the National Academy of Engineering and is a Fellow of the American Institute of Aeronautics and Astronautics (AIAA), the American Physical Society (APS), and the American Society of Mechanical Engineers (ASME). She received her B.S. in Engineering from UCLA and her M.S. and Ph.D. in Mechanical Engineering from the California Institute of Technology. She is a member of the Board of Trustees of the Institute for Defense Analyses (IDA) and is an alumna of and mentor for the IDA Defense Science Study Group. Prof. Karagozian also recently became the Inaugural Director of The Promise Armenian Institute, an endowed scholarly and cross-disciplinary outreach entity at UCLA.
Host: AME Department
More Info: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Webcast: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
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NL Seminar-Chasing the Long Tail. What Neural Networks Memorize and Why
Thu, Oct 14, 2021 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Vitaly Feldman, Apple AI Research
Talk Title: Chasing the Long Tail: What Neural Networks Memorize and Why
Series: NL Seminar
Abstract: REMINDER: Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you're highly encouraged to use your USC account to sign into Zoom. If you're an outside visitor, please inform nlg DASH seminar DASH host AT isi.edu beforehand so we'll be aware of your attendance and let you in.
Deep learning algorithms that achieve state of the art results on image and text recognition tasks tend to fit the entire training dataset nearly perfectly including mislabeled examples and outliers. This propensity to memorize seemingly useless data and the resulting large generalization gap have puzzled many practitioners and is not explained by existing theories of machine learning. We provide a simple conceptual explanation and a theoretical model demonstrating that memorization of outliers and mislabeled examples is necessary for achieving close to optimal generalization error when learning from long tailed data distributions. Image and text data are known to follow such distributions and therefore our results establish a formal link between these empirical phenomena. We then demonstrate the utility of memorization and support our explanation empirically. These results rely on a new technique for efficiently estimating memorization and influence of training data points.
Biography: Vitaly Feldman is a research scientist at Apple AI Research working on foundations of machine learning and privacy preserving data analysis. His recent research interests include tools for analysis of generalization, distributed privacy preserving learning, privacy preserving optimization, and adaptive data analysis.
Vitaly holds a Ph.D. from Harvard 2006, advised by Leslie Valiant and was previously a research scientist at Google Research Brain Team and IBM Research Almaden. His work was recognized by the COLT Best Student Paper Award in 2005 and 2013 student co authored and by the IBM Research Best Paper Award in 2014, 2015 and 2016. His recent research on foundations of adaptive data analysis has been featured in CACM Research Highlights, Science, and the research blogs of IBM, Google, and Microsoft. He served as a program co chair for COLT 2016 and ALT 2021 conferences and as a co organizer of the Simons Institute Program on Data Privacy in 2019.
Host: Jon May and Thamme Gowda
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://youtu.be/_R8JFXvjnPcLocation: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://youtu.be/_R8JFXvjnPc
Audiences: NL Seminar
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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Advanced Manufacturing Seminar
Fri, Oct 15, 2021 @ 10:00 AM - 11:30 AM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Conrad S. Tucker, Carnegie Mellon University
Talk Title: Artificial Intelligence and its Impact on Engineering Design and Manufacturing
Abstract:
Our research employs artificial intelligence techniques that seek to automate the main time/cost drivers of the engineering design and manufacturing process. The features of a product inform the form, function and behavior of the resulting design concept that can be subsequently created using traditional manufacturing/additive manufacturing methods. While there exists a wide range of computer aided design tools that seek to generate 3D design concepts, they are primarily parametric in nature and rely extensively on designers expertise, which may not always be readily available. Grants from the National Science Foundation (NSF) and the Defense Advanced Research Projects Agency (DARPA) have enabled our research team to explore the use of Deep Generative Design methods such as Generative Adversarial Networks (GANs) to generate 3D representations of design concepts. However, there is more to a design than simply its 3D form, as the design must perform a function and operate in an environment where its behavior may/may not perform as intended. Towards this end, our research group has proposed liking the AI-generation of a design, with the automatic evaluation of its function and behavior using physics-based simulation engines. The end result is a physics-informed design that has the potential to be realized through techniques such as additive manufacturing.
Biography: Dr. Conrad Tucker is an Arthur Hamerschlag Career Development Professor of Mechanical Engineering and Machine Learning (Courtesy) at Carnegie Mellon University. His research focuses on the design and optimization of systems through the acquisition, integration and mining of large scale, disparate data. Dr. Tucker has served as PI/Co-PI on federally/non-federally funded grants from the National Science Foundation (NSF), the Air Force Office of Scientific Research (AFOSR), the Defense Advanced Research Projects Agency (DARPA), the Army Research Laboratory (ARL), the Office of Naval Research (ONR) via the NSF Center for eDesign, and the Bill and Melinda Gates Foundation (BMGF). In February 2016, he was invited by National Academy of Engineering (NAE) President Dr. Dan Mote, to serve as a member of the Advisory Committee for the NAE Frontiers of Engineering Education (FOEE) Symposium. He received his Ph.D., M.S. (Industrial Engineering), and MBA degrees from the University of Illinois at
Urbana-Champaign, and his B.S. in Mechanical Engineering from Rose-Hulman Institute of Technology.
Host: Center for Advanced Manufacturing
More Info: https://usc.zoom.us/webinar/register/WN_2SihJZ6mR2up1sSa4u_3Jg
Webcast: Registration Link: https://usc.zoom.us/webinar/register/WN_2SihJZ6mR2up1sSa4u_3JgLocation: Online event
WebCast Link: Registration Link: https://usc.zoom.us/webinar/register/WN_2SihJZ6mR2up1sSa4u_3Jg
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/webinar/register/WN_2SihJZ6mR2up1sSa4u_3Jg
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Photonics Seminar Series
Tue, Oct 19, 2021 @ 01:30 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Jaime Cardenas, University of Rochester
Talk Title: On-Chip Weak Value Amplification
Series: Photonics Seminar
Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu
More Info: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Webcast: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09More Information: Photonics Seminar _Jaime Cardenas 10-19-21.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Audiences: Everyone Is Invited
Contact: Jennifer Ramos/Electrophysics
Event Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
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CS Colloquium: Harold Soh (National University of Singapore) - Trust, Talk, and Touch for Human-Robot Interaction
Tue, Oct 19, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Harold Soh, National University of Singapore
Talk Title: Trust, Talk, and Touch for Human-Robot Interaction
Series: Computer Science Colloquium
Abstract: In this talk, I will present three topics we've been exploring in my lab that bring us towards collaborative robots we trust. Specifically, I will discuss (1) how human trust in a robot transfers across tasks (and methods for modeling this phenomena), (2) how we can use deep self-models for human-robot communication, and if time permits, (3) how robots can extend their tactile perception for physical HRI. A common thread that runs through the topics is that using specified or learned structure can significantly improve sample efficiency. Data can be scarce in robotics and we will end the talk by briefly discussing open problems at the intersection of machine learning and HRI.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_0MjiSeXvR2-1FfxN0Bq7vg
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Harold Soh is Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), where he directs the Collaborative Learning and Adaptive Robots (CLeAR) group. Harold completed his Ph.D. at Imperial College London with Yiannis Demiris on online learning for assistive robots.
Harold's current research focuses on machine learning and decision-making for trustworthy collaborative robots. His work spans cognitive modeling (specifically human-robot trust) to physical systems (tactile intelligence with novel e-skins), and has been recognized with best paper award nominations at RSS, HRI, and IROS. Harold has served on the HRI committee as LBR Co-Chair (2019) and on the Technical Advances PC as a member (2020) and Chair (2021). He is an Associate Editor of the ACM Transactions on Human Robot Interaction (2021). He serves as PC member / reviewer for the top publication venues in AI (NeurIPS, ICML, ICLR, AAAI) and robotics (ICRA, IROS, RSS, HRI).
Host: Stefanos Nikolaidis
Webcast: https://usc.zoom.us/webinar/register/WN_0MjiSeXvR2-1FfxN0Bq7vgLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_0MjiSeXvR2-1FfxN0Bq7vg
Audiences: Everyone Is Invited
Contact: Computer Science Department
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ISE 651 - Epstein Seminar
Tue, Oct 19, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jorge Nocedal, Professor, Dept. of Industrial Engr & Management Sciences, Northwestern
Talk Title: Constrained Optimization in the Presence of Noise
Host: Dr. Meisam Razaviyayn
More Information: October 19, 2021.pdf
Location: Zoom/Online
Audiences: Everyone Is Invited
Contact: Grace Owh
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Oct 20, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Haiying (Helen) Shen , Department of Computer Science, University of Virginia
Talk Title: Black-box Adversarial Attacks for Deep Driving Maneuver Classification Models in Transportation CPS
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In a connected autonomous vehicle (CAV) scenario, each vehicle utilizes an onboard deep neural network (DNN) model to understand its received time-series driving signals (e.g., speed, brake status) from its nearby vehicles, and then takes necessary actions to increase traffic safety and roadway efficiency. In the scenario, an attacker may launch an adversarial attack, in which the attacker adds unnoticeable perturbation to the actual driving signals to fool the DNN model inside a victim vehicle to output a misclassified class to cause traffic congestion and/or accidents. Such an attack must be generated in near real-time and the adversarial perturbation is not noticeable in the current traffic context. However, previously proposed adversarial attacks fail to meet these requirements. To handle these challenges, we propose black-box adversarial attacks for time-series DNN models in the CAV scenarios. By analyzing real driving datasets, we observe driving signal patterns and features. Then, based on our observations, we design offline perturbations, which are used as a starting point in the online perturbation determination to generate the attacks. Our extensive experimental studies using two real driving datasets show that our proposed adversarial attacks require much shorter generation time and less perturbation amount than existing adversarial attacks.
Biography: Dr. Haiying (Helen) Shen is currently an Associate Professor in the Department of Computer Science at University of Virginia. She received the 2015 IEEE Technical Committee on Scalable Computing (TCSC) Mid-career Award, the 2010 Microsoft Faculty Fellowship Award, the 2015 IBM Faculty Award, the 2013 NSF CAREER Award, and the 2013 Sigma Xi Clemson Chapter Young Investigator Award. Her research interests include Cyber-physical systems, Cloud computing and datacenters, Machine learning, Big data, and Distributed systems. Dr. Shen has made substantial contributions to her field with over 330 publications in prestigious conferences and journals such as Sigcomm'21, CoNext'20, Infocom'2011-2019, and IEEE/ACM Transactions on Networking (TON). Her papers received George N. Saridis best transactions paper award2021, the best paper awards in CloudCom2016 and NAS2018, best paper runner-up award in ICCCN2015, best paper award nominees in ICPP2021, MASS2011 and CCGrid2009, and best-in-session-presentation award in INFOCOM2017. She currently advises five Ph.D. students. She is an Associate Editor for the IEEE/ACM Transactions on Networking (TON), IEEE Transactions on Mobile Computing (TMC), IEEE Networking Letters (NL). She is also a program committee member of many leading conferences, and the former program co-chair and general co-chair for a number of international conferences.
Host: Pierluigi Nuzzo and Bhaskar Krishnamachari
Webcast: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQ
Audiences: Everyone Is Invited
Contact: Talyia White
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AME Seminar
Wed, Oct 20, 2021 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Alban Sauret, UCSB
Talk Title: Capillary Flows of Suspensions
Abstract: Interfacial flows of multiphase systems containing a dispersed solid or liquid phase occur in a broad range of manufacturing, environmental, and bioengineering processes. However, the classical capillary dynamics is strongly modified when the length scale of the liquid becomes comparable to the particle size. This configuration may lead to a failure of classical models based on a rheological approach. For instance, particles can destabilize thin-films, lead to defects in additive manufacturing, reduce transport efficiency, and result in the contamination of substrates.
In this talk, I will present some of our recent studies that characterize the role of interfaces in suspension dynamics. I will first describe the formation of a thin-film of suspension on a substrate to illustrate how the particles are entrained and deposited depending on the flow configuration and suspension properties. I will discuss how these results can be used to develop passive capillary filtering and sorting mechanisms. The second part of the talk will characterize how particles can modify the formation of droplets and the atomization of suspension sheets and ligaments. Our approach, bridging different length and time scales, describes how the bulk behavior and local heterogeneities contribute to the dynamics of multiphase capillary objects.
Biography: Alban Sauret is an Assistant Professor in the Department of Mechanical Engineering at UC Santa Barbara. He graduated with a BS and an MS in Physics from ENS Lyon (France) and earned a Ph.D. in Mechanical Engineering from the University of Aix-Marseille (France) in 2013. During his graduate studies, he was awarded a Geophysical Fluid Dynamics Fellowship from the Woods Hole Oceanographic Institution. He then worked as a Postdoctoral Fellow at Princeton University from 2013 to 2014 and then spent four years as a tenured CNRS Research Scientist in a joint academic and industrial laboratory, while also being a visiting research scholar at NYU Tandon School of Engineering. He joined UC Santa Barbara in 2018. His research aims at understanding the dynamics of multiphase systems. He is particularly interested in the couplings between the fluid dynamics, interfacial effects, and particle transport mechanisms involved in environmental and industrial processes. Alban Sauret was named a Soft Matter Emerging Investigators in 2017, was elected a UC Regents Junior Faculty Fellow in 2019, and received the NSF CAREER Award in 2020. His past results were highlighted in various media, including the Los Angeles Times, The Wall Street Journal, and Science Friday.
Host: AME Department
More Info: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Webcast: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
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Astani Civil and Environmental Engineering Seminar
Thu, Oct 21, 2021 @ 11:00 AM - 12:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Augustine Zvinavashe, Ph.D. Candidate, Massachusetts Institute of Technology
Talk Title: A Bioinspired Approach to Engineer the Seed Microenvironment
Abstract: Please see attached abstract and bio.
Host: Dr. Adam Smith
Webcast: https://usc.zoom.us/j/99680049945 Meeting ID: 996 8004 9945 Passcode: 905716Location: Ronald Tutor Hall of Engineering (RTH) - 526
WebCast Link: https://usc.zoom.us/j/99680049945 Meeting ID: 996 8004 9945 Passcode: 905716
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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CS Colloquium: Huan Liu (Arizona State University) - Social Media Mining: A Bountiful Frontier in AI
Thu, Oct 21, 2021 @ 03:30 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Huan Liu , Arizona State University
Talk Title: Social Media Mining: A Bountiful Frontier in AI
Series: CS Colloquium
Abstract: Social media data differs from conventional data in many ways. It is not only big, but also noisy, linked, multimodal, and user-generated. Unprecedented opportunities thus emerge for CS and AI research through the lens of social data. In this talk, I use examples to illustrate: (1) fundamental problems associated with social media, that challenge common practice and existential understanding in machine learning and data mining; (2) intriguing questions, unique to social media, that can be answered by mining social media; and (3) how we can make a difference -“ that is, contribute to society at large - by developing novel socially responsible AI algorithms in our work on social media mining and AI. There are great opportunities ahead for research, teaching, and interdisciplinary collaborations in advancing knowledge in CS, AI, and data science.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Dr. Huan Liu is Professor of Computer Science and Engineering at Arizona State University. He was recognized for excellence in teaching and research in Computer Science and Engineering at ASU. His research interests include AI, data mining, feature selection, and social media mining. He co-authored the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He graduated 32 PhD students at ASU and many of them won highly coveted awards (click here for their first job after graduation). He is Founding Field Chief Editor of Frontiers in Big Data, its Specialty Chief Editor of Data Mining and Management, Editor in Chief of ACM TIST, and Conference Co-Chair of ACM WSMD2022. His research has been funded by NSF, AFOSR, AFRL, ARL, ARO, DARPA, NASA, and ONR, among others. He is a Fellow of AAAI, AAAS, ACM, and IEEE.
Host: Laurent Itti
Location: Ronald Tutor Hall of Engineering (RTH) - 115
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Huan Liu (Arizona State University) - Nurturing Tomorrow's CS Leaders Together
Fri, Oct 22, 2021 @ 10:00 AM - 10:45 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Huan Liu , Arizona State University
Talk Title: Nurturing Tomorrow's CS Leaders Together
Abstract: With the recent surge of interest in and increasing need for AI, machine learning, and data science, we computer scientists and engineers are poised to welcome the golden age of computer science and reimagine new opportunities together for tomorrow's CS leaders. We will equip students with a solid theoretical foundation, state-of-the-art technology, and high-level skills so they are ready to be leaders in this fast-developing discipline. We will do this while enhancing diversity and equity on and off campus; promoting inclusiveness; and fostering a vibrant research and teaching ecosystem in which faculty and students excel in their unique ways. We strive to remain a global leader pursuing excellence in computer science education, research, and service and to stay at the forefront of computer science with world-class faculty and strong, aspiring students, and all in a student-focused, faculty-led, ethical, and creative learning environment.
Biography: Dr. Huan Liu is Professor of Computer Science and Engineering at Arizona State University. He was recognized for excellence in teaching and research in Computer Science and Engineering at ASU. His research interests include AI, data mining, feature selection, and social media mining. He co-authored the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He graduated 32 PhD students at ASU and many of them won highly coveted awards (click here for their first job after graduation). He is Founding Field Chief Editor of Frontiers in Big Data, its Specialty Chief Editor of Data Mining and Management, Editor in Chief of ACM TIST, and Conference Co-Chair of ACM WSMD2022. His research has been funded by NSF, AFOSR, AFRL, ARL, ARO, DARPA, NASA, and ONR, among others. He is a Fellow of AAAI, AAAS, ACM, and IEEE.
http://www.public.asu.edu/~huanliu
Host: Laurent Itti
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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USC Day of Making w/ YouTube's Allen Pan, USC Makers, USC Robogals
Sat, Oct 23, 2021 @ 11:00 AM - 02:30 PM
USC Viterbi School of Engineering, Viterbi School of Engineering K-12 STEM Center
Conferences, Lectures, & Seminars
Speaker: Allen Pan , Viterbi '12, maker on YouTube with >1.5M followers
Talk Title: USC Day of Making
Abstract: Join us for a virtual Day of Making! (all free)
Hear from USC students and alumni about their journey in developing making skills that combine engineering, robotics, and creativity.
See examples of making projects that turn imaginary objects like superhero shields and portal guns into reality!
11 - 11:50 am Allen Pan, host of YouTube channel: "Sufficiently Advanced" Register: https://tinyurl.com/allenpanregister
12:15 - 1:00 pm USC Makers present a Mini Maker Faire (best for high school students)
1:15 - 2:15 USC Robogals "Becoming the Next Generation of Makers"
Afternoon evemts for high school students: https://tinyurl.com/dayofmakingregister
Biography: Allen Pan https://www.youtube.com/channel/UCVS89U86PwqzNkK2qYNbk5A
USC Viterbi K-12 STEM Center https://viterbik12.usc.edu/
Host: USC Viterbi K-12 STEM Center
More Info: https://tinyurl.com/allenpanregister
More Information: Day of Making.pdf
Location: Register for Webinar
Audiences: Everyone Is Invited
Contact: Katie Mills
Event Link: https://tinyurl.com/allenpanregister
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USC Day of Making w/ YouTube's Allen Pan, USC Makers, USC Robogals
Sat, Oct 23, 2021 @ 11:00 AM - 12:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering K-12 STEM Center
Conferences, Lectures, & Seminars
Speaker: Allen Pan , Viterbi '12, maker on YouTube with >1.5M followers
Talk Title: USC Day of Making
Abstract: Join us for a virtual Day of Making! (all free)
Hear from USC students and alumni about their journey in developing making skills that combine engineering, robotics, and creativity.
See examples of making projects that turn imaginary objects like superhero shields and portal guns into reality!
11 - 11:50 am Allen Pan, host of YouTube channel: "Sufficiently Advanced" Register: https://tinyurl.com/allenpanregister
12:15 - 1:00 pm USC Makers present a Mini Maker Faire (best for high school students)
1:15 - 2:15 USC Robogals "Becoming the Next Generation of Makers"
Afternoon evemts for high school students: https://tinyurl.com/dayofmakingregister
Biography: Allen Pan https://www.youtube.com/channel/UCVS89U86PwqzNkK2qYNbk5A
USC Viterbi K-12 STEM Center https://viterbik12.usc.edu/
Host: USC Viterbi K-12 STEM Center
More Info: https://tinyurl.com/allenpanregister
More Information: Day of Making.pdf
Location: Register for Webinar
Audiences: Everyone Is Invited
Contact: Katie Mills
Event Link: https://tinyurl.com/allenpanregister
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Photonics Seminar Series
Tue, Oct 26, 2021 @ 01:30 PM - 02:31 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Mark Haynes, NASA-Jet Propulsion Laboratory
Talk Title: Waveport Scattering Library
Series: Photonics Seminar
Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu
More Info: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Webcast: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09More Information: Photonics Seminar _Mark Haynes 10-26-21.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Audiences: Everyone Is Invited
Contact: Jennifer Ramos/Electrophysics
Event Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
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***NO ISE 651, Epstein Seminar - Week of INFORMS***
Tue, Oct 26, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Audiences: Everyone Is Invited
Contact: Grace Owh
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AME Seminar
Wed, Oct 27, 2021 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Paul Ronney, USC
Talk Title: Releasing Insights from Data: Quarrying vs. Sculpting
Abstract: When Michelangelo surveyed a block of marble he saw a figure trapped inside; his goal was to release the figure that in his mind was already there. Research involves not only quarrying (obtaining) blocks of experimental, computational or theoretical data but more importantly releasing the insights trapped within. For example, every student of physics learns about the H atom spectrum - but why this block of data? Because, trapped within the spectrum is a critical, unequivocal insight - that energy levels of matter are quantized.
In that famous example the insight and its significance are obvious given the benefit of years of hindsight - but what important insights are trapped inside freshly-quarried data? The focus of this presentation is on examples of and methods for sculpting data into works of insight. Starting with the aforementioned case study and others the audiences sculpting skill will be challenged with case studies from both the presenters own work (some not yet published) and elsewhere, with an emphasis on examples where the insights were both difficult to sculpt and led to counterintuitive insights.
Biography: Paul Ronney is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Southern California in Los Angeles, CA. Prof. Ronney received a Bachelor of Science degree in Mechanical Engineering from the University of California, Berkeley, a Master of Science degree in Aeronautics from the California Institute of Technology, and a Doctor of Science degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology. He held postdoctoral appointments at the NASA Lewis (now Glenn) Research Center and the Laboratory for Computational Physics at the U. S. Naval Research Laboratory and a position as Assistant Professor in the Department of Mechanical and Aerospace Engineering at Princeton University before assuming his current position at USC. Prof. Ronney was the Payload Specialist Astronaut (Alternate) for Space Shuttle mission MSL-1 (STS-83, April 4 - 8, 1997) and the reflight of this mission (STS-94, July 1 - 16, 1997).
Professor Ronney has extensive research experience in small-scale combustion and power generation, turbulent combustion, flame ignition by transient plasma discharges, micro-scale combustion, bioengineering (robotic insect propulsion), edge flames, flame propagation in confined geometries (Hele-Shaw cells), internal combustion engines, premixed-gas combustion at microgravity and flame spread over solid fuel beds. One of his experiments, a study of premixed-gas flames at low gravity, flew on three Space Shuttle missions.
Prof. Ronney has published over 80 technical papers in peer-reviewed journals, made over 250 technical presentations (including over 35 invited presentations at international conferences), holds 7 U.S. patents, and has received over $12 million in funding for his research projects. In recognition of his achievements, he is a Fellow of the American Society of Mechanical Engineers and the Combustion Institute, an Associate Fellow of the American Institute of Aeronautics and Astronautics, and is a recipient of the National Science Foundation Presidential Young Investigator Award. He has received the Distinguished Paper Award from the Combustion Institute (for a work published in the Proceedings of the Combustion Institute, Vol. 37) and the Starley Premium Award of the Institution of Mechanical Engineers (for the best paper of the year published in the Journal of Automobile Engineering.)
Host: AME Department
More Info: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Webcast: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/j/97427241653?pwd=UGd2aXY2b3dsQkxMdzdvcnNBMjRJZz09
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Oct 27, 2021 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Xenofon Koutsoukos, Department of Computer Science at Vanderbilt University
Talk Title: Resilient Distributed Consensus, Optimization, and Learning in Networked Cyber-Physical Systems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Distributed consensus, optimization, and learning algorithms are increasingly used in networked cyber-physical systems but they are prone to Byzantine attacks. In this talk, we will present distributed algorithms for resilient aggregation in high-dimensional problems. The first approach is based on the notion of centerpoint, which is an extension of the median in higher dimensions. Centerpoint is used in a resilient distributed stochastic gradient descent algorithm in a cooperative network and evaluated using examples of target pursuit in multi-robot systems. The second approach is based on adaptive weight assignment and is used for resilient distributed multi-task learning and distributed reinforcement learning. Our results show better learning performance than the non-cooperative case and resilience in the presence of Byzantine agents.
Biography: Xenofon Koutsoukos is the Chair of the Department of Computer Science at Vanderbilt University. He is a Professor of Computer Science, Computer Engineering, and Electrical Engineering and a Senior Research Scientist with the Institute for Software Integrated Systems. His research is in the area of cyber-physical systems with emphasis on learning-enabled systems, security and resilience, control and decision-making, diagnosis and fault tolerance, formal methods, and adaptive resource management. Prof. Koutsoukos was the recipient of the NSF Career Award in 2004, the Excellence in Teaching Award in 2009 from the Vanderbilt University School of Engineering, and the 2011 NASA Aeronautics Research Mission Directorate (ARMD) Associate Administrator (AA) Award in Technology and Innovation. He is a Fellow of the IEEE.
Host: Hosts: Pierluigi Nuzzo and Paul Bogdan
Webcast: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_p5OEJlPxQlakO4hqovuGEQ
Audiences: Everyone Is Invited
Contact: Talyia White
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Nikhil Garg (Cornell University) - Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts
Thu, Oct 28, 2021 @ 10:30 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Nikhil Garg, Cornell University
Talk Title: Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts
Abstract: Every representative democracy must specify a mechanism under which voters choose their representatives. The most common mechanism in the United States -- winner-take-all single-member districts -- both enables substantial partisan gerrymandering and constrains `fair' redistricting, preventing proportional representation in legislatures. We study the design of multi-member districts (MMDs), in which each district elects multiple representatives, potentially through a non-winner-takes-all voting rule. We carry out large-scale analyses for the U.S. House of Representatives under MMDs with different social choice functions, under algorithmically generated maps optimized for either partisan benefit or proportionality. Doing so requires efficiently incorporating predicted partisan outcomes -- under various multi-winner social choice functions -- into an algorithm that optimizes over an ensemble of maps. We find that with three-member districts using Single Transferable Vote, fairness-minded independent commissions would be able to achieve proportional outcomes in every state up to rounding, and advantage-seeking partisans would have their power to gerrymander significantly curtailed. Simultaneously, such districts would preserve geographic cohesion, an arguably important aspect of representative democracies. In the process, we open up a rich research agenda at the intersection of social choice and computational redistricting.
Biography: Nikhil Garg is an Assistant Professor of Operations Research and Information Engineering at Cornell Tech as part of the Jacobs Technion-Cornell Institute. His research interest is the application of algorithms, data science, and mechanism design to the study of democracy, markets, and societal systems at large. He received his PhD from Stanford University, where he was part of the Society and Algorithms Lab and Stanford Crowdsourced Democracy Team. He has spent time at Uber, NASA, and Microsoft, and most recently was the Principal Data Scientist at PredictWise, which provides election analytics for political campaigns. Nikhil has received the INFORMS George Dantzig Dissertation Award, an honorable mention for the ACM SIGecom dissertation award, and 2nd place in the MSOM student paper competition.
Host: Shaddin Dughmi
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Astani Civil and Environmental Engineering Seminar
Thu, Oct 28, 2021 @ 11:00 AM - 12:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ioannis Kougioumtzoglou, Columbia University
Talk Title: Path Integrals in Stochastic Engineering Dynamics
Abstract: Please see attached abstract, bio and photo.
Host: Dr. Roger Ghanem
Webcast: Zoom: https://usc.zoom.us/j/996-8004-9945 Meeting ID:99680049945 Passcode: 905716More Information: I Kougiumtzoglou Abstract-bio.pdf
Location: Michelson Center for Convergent Bioscience (MCB) - 101
WebCast Link: Zoom: https://usc.zoom.us/j/996-8004-9945 Meeting ID:99680049945 Passcode: 905716
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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Advanced Manufacturing Seminar
Thu, Oct 28, 2021 @ 12:00 PM - 01:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Charlie C. L. Wang, University of Manchester
Talk Title: Multi-Axis Additive Manufacturing: Support-Free, Mechanical Strength and Motion Planning
Abstract: In this talk, I will present our recent work related to multi-axis additive manufacturing (i.e., MAAM). Although called 3D printing, the processing of material accumulation in most commercial AM systems is however taken in a 2.5D manner, which leads to two major problems - 1) supporting structures are needed below regions with large overhang and 2) weak mechanical strength between layers of accumulated materials. Both challenges are tackled in our work by incorporating multi-axis motion into the material deposition process. Printing along real 3D tool-paths is conducted. Automatic tool-path planning for multi-axis 3D printing is based on two successive decompositions, first volume-to-surfaces and then surfaces-to-curves. Two computational pipelines will be introduced, where the first one is based on voxel representation for support-free 3D printing and the second paradigm is based on vector-field computation for reinforcing the mechanical strength of 3D printed models. Lastly, I will present methods for effectively planning the motion trajectory of robots in these manufacturing tasks, the tool-paths of which are usually complex and have a large number of discrete-time constraints as waypoints.
Biography:
Prof. Charlie C. L. Wang currently holds a Chair of Smart Manufacturing with the University of Manchester. Prior to this, he was a Chair of Advanced Manufacturing at Delft University of Technology and a Professor of Mechanical and Automation Engineering at the Chinese University of Hong Kong. He also worked as a visiting professor at University of Southern California during sabbatical leave in 2011. Prof. Wang received a few awards from professional societies including the ASME CIE Excellence in Research Award (2016), the ISSMO/Springer Prize (2019), the Best Paper Award (2nd Place) of Solid and Physical Modeling (2019), the NAMRI/SME Outstanding Paper Award (2013), the Best Paper Awards of ASME CIE Conferences (twice in 2008 and 2001 respectively), the Prakash Krishnaswami CAPPD Best Paper Award of ASME CIE Conference (2011), and the ASME CIE Young Engineer Award (2009). He received his B.Eng. degree (1998) in mechatronics engineering from Huazhong University of Science and Technology and his Ph.D. degree (2002) in mechanical engineering from Hong Kong University of Science and Technology (HKUST). He is a Fellow of American Society of Mechanical Engineers (ASME), and is also currently the chair of Solid Modeling Association (SMA).
Host: Center for Advanced Manufacturing
More Info: Registration Link: https://usc.zoom.us/webinar/register/WN_I4t2NMfJS--fyzciHcbzlQ
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: Registration Link: https://usc.zoom.us/webinar/register/WN_I4t2NMfJS--fyzciHcbzlQ
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Ming Hsieh Institute Seminar Series on Integrated Systems
Fri, Oct 29, 2021 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Joe Bardin, Professor, University of Massachusetts Amherst / Research Scientist, Google Quantum AI
Talk Title: CMOS and BiCMOS Integrated Circuits for Superconducting Quantum Computing
Host: Mike Chen, Hossein Hashemi, Manuel Monge, Constantine Sideris
More Information: MHI IS Seminar - Joe Bardin_Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Jenny Lin
