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Events for October 17, 2018
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Meet USC: Admission Presentation, Campus Tour, and Engineering TalkWed, Oct 17, 2018
Viterbi School of Engineering Undergraduate Admission
University Calendar
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!
RSVPLocation: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Rebecca Kinnon
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Machine-Integrated Intelligence, Controlled Sensing, and Active Learning
Wed, Oct 17, 2018 @ 12:00 AM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Tara Javidi, Electrical and Computer Engineering, UC San Diego
Talk Title: Machine-Integrated Intelligence, Controlled Sensing, and Active Learning
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: The computing landscape has been drastically changing. The new computing realm, which is sometimes dubbed as internet of everything, includes networked devices ranging from tiny wearable sensors, smart home appliances, and personal autonomous robots, to connected self-driving cars, and to smart city infrastructures. In this new computing eco-system, comprising of resource-constrained, unreliable, and vulnerable components and networks, the non-recurring cost of hardware acceleration, engineering implementation, and system building has continued to grow significantly. This is in addition to the growing cost associated with the collection, curation, and labeling of data during both the training and the execution of various popular machine learning models. These design bottle-necks not only result in a significant increase in the non-recurring cost of engineering for companies but also provide a severe hurdle in technology development associated with hardware upgrade and/or system redesign.
In the first part of the talk, I will discuss an overview of my research on information acquisition and active learning in the context of the mission of our newly formed UCSD Center for Machine-Integrated Computing and Security (MICS). I will report ongoing research in the center where this system integrated view has enabled best-in-class results by bringing Machine into Machine Learning. In the second part of the talk, I will delve deeper into the problems of information acquisition, controlled sensing, and active learning and show our solutions to significantly reduce the cost of data collection and/or data labeling while ensuring reliability and fidelity during the training or run-time. In particular, we illustrate our findings and algorithms in the context of DetecDrone: an ML-enabled drone intelligence platform developed in my lab to provide search, mapping, and monitoring off-the-shelf low cost drones.
Biography: Tara Javidi studied electrical engineering at Sharif University of Technology, Tehran, Iran from 1992 to 1996. She received her MS degrees in electrical engineering (systems) and in applied mathematics (stochastic analysis) from the University of Michigan, Ann Arbor, in 1998 and 1999, respectively. She received her Ph.D. in electrical engineering and computer science from the University of Michigan, Ann Arbor, in 2002. From 2002 to 2004, Tara Javidi was an assistant professor at the Electrical Engineering Department, University of Washington, Seattle. In 2005, she joined the University of California, San Diego, where she is currently a professor of electrical and computer engineering and a founding co-director of the Center for Machine-aware Computing and Security (MICS). She is also a member of Board of Governors of the IEEE Information Theory Society (2017/18/19).
Tara Javidi's research interests are in theory of active learning, information theory with feedback, stochastic control theory, and stochastic resource allocation in wireless communications and communication networks. Tara Javidi was a recipient of a 2018 Qualcomm Faculty Award, National Science Foundation early career award (CAREER) in 2004, Barbour Graduate Scholarship, University of Michigan, in 1999, and the Presidential and Ministerial Recognitions for Excellence in the National Entrance Exam, Iran, in 1992. Tara Javidi is a Distinguished Lecturer of the IEEE Information Theory Society (2017/18).
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia Whtie
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CS Colloquium: Fred Morstatter (USC-ISI) - Discovering, Mitigating and Characterizing Social Data Bias
Wed, Oct 17, 2018 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Fred Morstatter, USC - ISI
Talk Title: Discovering, Mitigating and Characterizing Social Data Bias
Series: CS Colloquium
Abstract: Researchers and practitioners use social media to extract actionable patterns about human behavior. However, biases are inevitable and can either be a hindrance or an asset to such analysis. In this talk, I will discuss perturbations to the underlying data that can lead to flawed analysis. I will show how common assumptions in handling social media data can lead to flawed research results, and suggest approaches to combat these problems. However, if we understand the biases in our dataset it can lead to deeper understanding of the populations we wish to study. Once the biases underlying a social dataset are recognized, researchers are in a better position to study the unique characteristics underlying different cultural groups. This talk will conclude with a discussion of ways to identify cultural groups online and to characterize the biases between them.
This lecture satisfies requirements for CSCI 591: Research Colloquium. Please note, due to limited capacity, seats will be first come first serve.
Biography: Fred Morstatter is a Computer Scientist at the Information Science Institute. His research focuses on understanding biases that occur in online social data. Specifically, he is interested in biases that can skew research results from big social data. He is also interested in characterizing the biases of cultural groups based upon the trace data they create on social media. He has been a key contributor to the Synergistic Anticipation of Geopolitical Events (SAGE) project under IARPA's Hybrid Forecasting Competition. This project combines human judgement with machine forecasts of geopolitical events in the form of a web platform that serves as a vehicle for research in social media mining. He has published in JMLR, WWW, KDD and ICWSM, among others. He is Program Committee Chair for ICWSM 2019. A full list of publications can be found at www.fredmorstatter.com. Contact him at fredmors@isi.edu.
Host: Computer Science
Location: Olin Hall of Engineering (OHE) - 100D
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Interviews Open Forum
Wed, Oct 17, 2018 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Increase your career and internship knowledge for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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CAIS Seminar: Dr. John Prindle (USC) – Predicting Risk of Future Child Welfare Involvement
Wed, Oct 17, 2018 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. John Prindle, USC
Talk Title: Predicting Risk of Future Child Welfare Involvement
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Child maltreatment impacts a significant number of children per year and is typically not limited to one encounter with the system. Past records provide a wealth of information which may be used to supplement current maltreatment allegations. Machine learning algorithms in the form of Random Forests were applied to these data to predict risk of future child welfare outcomes, past and present factors.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Dr. John Prindle is a research assistant professor with the Children's Data Network at USC. His current work focuses on the impact of childhood maltreatment on downstream services such as education and medical services.
Host: Milind Tambe
Location: Mark Taper Hall Of Humanities (THH) - 301
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Colloquium: Steve Chien (JPL) - The Growing Role for Artificial Intelligence in Space Exploration and the Search for Life Beyond Earth
Wed, Oct 17, 2018 @ 05:00 PM - 06:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Steve Chien, Jet Propulsion Laboratory, California Institute of Technology
Talk Title: The Growing Role for Artificial Intelligence in Space Exploration and the Search for Life Beyond Earth
Series: Computer Science Colloquium
Abstract: Artificial Intelligence is playing an increasing role in our everyday lives and the business marketplace. This trend extends to the space sector, where AI has already shown considerable success and has the potential to revolutionize almost every aspect of space exploration. I first highlight a number of success stories of the tremendous impact of Artificial Intelligence in Space: over a dozen years of operations of the Autonomous Sciencecraft on EO-1, the Earth Observing Sensorweb tracking volcanoes, flooding and wildfires and automated targeting onboard the MSL Curiosity rover. Next I describe several search and optimization formulations of space scheduling problems: data management for spacecraft and observation scheduling. Finally I discuss why AI is critical to search for life beyond Earth, highlighting the role of AI in Europa Submersible and Interstellar mission concepts.
RSVP: https://goo.gl/forms/iLw0LrMKq6JvqxkD3
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Steve Chien is a Senior Research Scientist at the Jet Propulsion Laboratory, California Institute of Technology where he leads efforts in autonomous systems for space exploration. Dr. Chien has received numerous awards for his research in space autonomous systems including: NASA Medals in 1997, 2000, 2007, and 2015; he is a four time honoree in the NASA Software of the Year competition (1999, 1999, 2005, 2011); and in 2011 he was awarded the inaugural AIAA Intelligent Systems Award. He has led the deployment of ground and flight autonomy software to numerous missions including the Autonomous Sciencecraft/Earth Observing One, WATCH/Mars Exploration Rovers, Earth Observing Sensorwebs, IPEX, and ESA's Rosetta.
Host: AAAI@USC
Location: Mark Taper Hall Of Humanities (THH) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Edwards Lifesciences Info Session
Wed, Oct 17, 2018 @ 06:00 PM - 07:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
COME BE INSPIRED.
Discover Edwards Lifesciences' award winning products through a hands-on demo with our Engineering representatives. You'll learn about our Transcatheter Heart Valves, Heart Valve Therapies, Transcatheter Mitral & Tricuspid Therapies, and Critical Care monitoring systems in an interactive group environment.
We'll also take some time to discuss our Engineering New Grad (ENG) Programs and Summer Internship opportunities and dive deeper into Edwards as a company.
DISCOVER LIFE HERE.
At Edwards, you can:
- Explore a wide variety of medical device engineering projects
- Develop professional skills
- Work in a stimulating learning environment
- Partner with passionate employees fighting cardiovascular disease
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
