Select a calendar:
Filter December Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for December 01, 2021
-
MS CSCI/DSCI Drop-in Academic AdvisingWed, Dec 01, 2021 @ 10:00 AM - 11:00 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Virtual Academic Advising Drop-in Hours for continuing MS students in CS or Data Science Programs will be available for the month of December. If you have a quick question that doesn't require a 20 minute appointment, please come to our drop in hours. Students may be placed into the waiting room upon arrival.
Zoom access link for all sessions:
ZOOM LINK SENT TO STUDENTS DIRECTLY. CHECK EMAIL FOR LINK.
Wednesday, December 1st --- 10am -- 11am
Wednesday, December 1st --- 2:30pm -- 3:30pm
Wednesday, December 8th --- 10am -- 11am
Wednesday, December 8th --- 2:30pm -- 3:30pm
Wednesday, December 15th --- 10am -- 11am
Wednesday, December 15th --- 2:30pm -- 3:30pmLocation: Online
Audiences: Graduate
Contact: USC Computer Science
-
Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Dec 01, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mi Zhang , Machine Learning Systems Lab at Michigan State University
Talk Title: Empowering the Next Billion Devices with Deep Learning
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: The proliferation of edge devices and the gigantic amount of data they generate make it no longer feasible to transmit all the data to the cloud for processing. Such constraints fuel the need to move the intelligence from the cloud to the edge where data reside. In this talk, I will present our works on how we bring the power of deep learning to edge devices to realize the vision of Artificial Intelligence of Things (AIoT).
First, I will present our work on designing adaptive frameworks that empower AI-embedded edge devices to adapt to the inherently dynamic runtime resources to enable elastic on-device AI. Second, we shift from the single edge device setting to the distributed setting for the task of distributed on-device inference. I will focus on one killer application of edge computing, and present a distributed workload-adaptive framework for low-latency high-throughput large-scale live video analytics. Third, I will present our work on designing a distributed on-device training framework that significantly enhances the on-device training efficiency without compromising the training quality. Lastly, I will talk about our work on developing automated machine learning (AutoML) techniques to address the device deluge challenge which acts as one key barrier of achieving the vision of AIoT.
Biography: Mi Zhang is an Associate Professor and the Director of the Machine Learning Systems Lab at Michigan State University. He received his Ph.D. from University of Southern California and B.S. from Peking University. Before joining MSU, he was a postdoctoral scholar at Cornell University. His research lies at the intersection of mobile/edge/IoT systems and machine intelligence, spanning areas including On-Device/Edge AI, Automated Machine Learning (AutoML), Federated Learning, Systems for Machine Learning, Machine Learning for Systems, and AI for Health and Social Good. He has received a number of awards for his research. He is the 4th Place Winner of the 2019 Google MicroNet Challenge, the Third Place Winner of the 2017 NSF Hearables Challenge, and the champion of the 2016 NIH Pill Image Recognition Challenge. He is the recipient of seven best paper awards and nominations. He is also the recipient of the National Science Foundation CRII Award, Facebook Faculty Research Award, Amazon Machine Learning Research Award, and MSU Innovation of the Year Award.
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
-
MS CSCI/DSCI Drop-in Academic Advising
Wed, Dec 01, 2021 @ 02:30 PM - 03:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Virtual Academic Advising Drop-in Hours for continuing MS students in CS or Data Science Programs will be available for the month of December. If you have a quick question that doesn't require a 20 minute appointment, please come to our drop in hours. Students may be placed into the waiting room upon arrival.
Zoom access link for all sessions:
ZOOM LINK SENT TO STUDENTS DIRECTLY. CHECK EMAIL FOR LINK.
Wednesday, December 1st --- 10am -- 11am
Wednesday, December 1st --- 2:30pm -- 3:30pm
Wednesday, December 8th --- 10am -- 11am
Wednesday, December 8th --- 2:30pm -- 3:30pm
Wednesday, December 15th --- 10am -- 11am
Wednesday, December 15th --- 2:30pm -- 3:30pm
Location: Online
Audiences: Graduate
Contact: USC Computer Science
-
AME Seminar
Wed, Dec 01, 2021 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Emilie Dressaire, UCSB
Talk Title: Pushing boundaries: flow in low permeability media
Abstract: Generating and controlling fluid flow in low permeability environments is a challenge in natural and engineered systems. In this talk, I will discuss two studies involving the opening of fractures in a soft substrate and the clogging of microchannels.
The injection of fluid in brittle elastic materials drive the formation of cracks. Besides, when the pressure is released, the fluid flows out of the crack, in a process called backflow. Using a model experiment, we characterize the growth of a disk-like crack that propagates upon injection of the fluid, and its collapse as the injection pressure is released. The viscous dissipation, elastic deformation, and toughness of the matrix are important physical parameters that control the fluid flow in the crack or blister. This strategy is commonly used in rocks of low permeability and could find applications in bioengineering.
Yet the increase in permeability is only transient. A solution to avoid the closing of the crack formed by injection is to use suspensions of particles. However, the behavior of particles in confined systems remains mainly qualitative. I will discuss recent results obtained on the clogging of microchannels. When a suspension of particles flows in a microchannel, deposition and assembly can lead to the formation of a clog, followed by a stable aggregate of fixed porosity. I will present a model for the growth of the aggregate at the pore scale, which allows us to rationalize the evolution of the flow rate in networks of microchannels. Bridging the injection of fluid in elastic media with suspension dynamics is a promising route to advance printing in soft materials.
Biography: Emilie Dressaire received a B.S. in Engineering from ESPCI, France, in 2005, and a Ph.D. in Mechanical Engineering from Harvard University in 2009. She joined the Mechanical and Aerospace Engineering Department at NYU Tandon School of Engineering in 2014 and CNRS in 2017. She is now a faculty member in the Department of Mechanical Engineering at UCSB. She currently serves as a Member-at-Large on the Executive Committee of APS Division of Fluid Dynamics. Her research interests are centered around the areas of small scale fluid mechanics and soft matter physics, specifically focusing on interdisciplinary projects to develop bio-inspired methods to control and monitor fluid flows.
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
