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Events for February 25, 2015
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Meet USC: Admission Presentation, Campus Tour, & Engineering TalkWed, Feb 25, 2015
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
This half day program is designed for prospective freshmen 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!Location: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Prospective Undergrads and Families
Contact: Viterbi Admission
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CS Colloquium: Andrea Thomaz (GATECH) - Robots Learning from Human Teachers
Wed, Feb 25, 2015 @ 10:00 AM - 10:50 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Andrea Thomaz, Georgia Tech
Talk Title: Robots Learning from Human Teachers
Series: CS Colloquium
Abstract: In this talk I present recent work from the Socially Intelligent Machines Lab at Georgia Tech.
Our research aims to computationally model mechanisms of human social learning in order to build robots and other machines that are intuitive for people to teach. We take Machine Learning interactions and redesign interfaces and algorithms to support the collection of learning input from naive humans. This talk covers results on building computational models of reciprocal interactions, high-level task goal learning, low-level skill learning, and active learning interactions using humanoid robot platforms.
The lecture will be available for live streaming HERE.
Biography: Andrea L. Thomaz is an Associate Professor of Interactive Computing at the Georgia Institute of Technology. She directs the Socially Intelligent Machines lab, which is affiliated with the Institute for Robotics and Intelligent Machines (IRIM). She earned a B.S. in Electrical and Computer Engineering from the University of Texas at Austin in 1999, and Sc.M. and Ph.D. degrees from MIT in 2002 and 2006. Dr. Thomaz has published in the areas of Artificial Intelligence, Robotics, and Human-Robot Interaction. She received an ONR Young Investigator Award in 2008, and an NSF CAREER award in 2010. Her work has been featured in the New York Times, on NOVA Science Now, she was named one of MIT Technology Reviewâs TR 35 in 2009, and on Popular Science Magazineâs Brilliant 10 list in 2012.
Host: Computer Science Department
More Info: https://bluejeans.com/677132238
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
Event Link: https://bluejeans.com/677132238
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Computer engineering seminar
Wed, Feb 25, 2015 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Farinaz Koushanfar, Rice University
Talk Title: Engineering scalable privacy-preserving big and dense data analytics
Abstract: Data analytics on massive and often sensitive contents regularly arise in various contemporary settings ranging from cloud computing and social networking, to online services, mobile applications, and distributed processing. In this talk, I present novel computer engineering-based solutions that uniquely enable efficient and scalable explorations of the underlying patterns and dependencies present across a complex dataset, with a focus on sensitive privacy-preserving applications. The first part of the talk addresses the challenge of minimizing the computing, storage and communication overhead of the learning algorithms down to the limits of data subspaces and underlying heterogeneous platform. I demonstrate data-aware, domain-specific methodologies that are applicable to a broad class of iterative matrix-based learning algorithms and particularly efficient for challenging datasets with dense dependencies. The new techniques and methods enable optimizing for hardware acceleration as well as real-time stream processing, while they simultaneously benefit the privacy-preserving computing by pushing the limits of costly data analytics to the theoretical bounds. The second portion of the talk discusses novel scalable engineering solutions for privacy preserving computing by Yao's Garbled Circuit (GC) allowing two parties to jointly compute a function while keeping their inputs private. In contrast with the existing (software based) GC methods, I illustrate how scalable and efficient GC computation can be achieved by leveraging a new folded function description and logic synthesis methods along with our created custom libraries and constraints.
Evaluation results of our methodologies show significant improvements in memory footprint, network bandwidth, and the overall computing cost in terms of time and energy (power) compared with the prior art, often by orders of magnitude. Our scalable privacy-preserving approach enables us to implement functions that have not been reported before, small enough that they befit mobile/embedded devices. To facilitate automated end-to-end implementation, we provide a number of user-friendly APIs supported by our custom libraries. I discuss how our new findings will enable practically addressing several known classical challenges as well as exciting applications such as scalable privacy-preserving classification of visual content, secure data mining, and search.
Biography: Farinaz Koushanfar is currently an Associate Professor with the Department of Electrical and Computer Engineering, Rice University, where she directs the Adaptive Computing and Embedded Systems (ACES) Lab. She also serves as the: principal director of the TI DSP Leadership University program; and, as the associate partner of the Intel Collaborative Research Institute for Secure Computing. She received her Ph.D. degree in Electrical Engineering and Computer Science from University of California Berkeley. Her research interests include embedded/cyber-physical systems (CPS) security, hardware trust, adaptive and customizable embedded systems design, and secure function evaluation. Professor Koushanfar received a number of awards and honors for her research, mentorship, and teaching including the PECASE from president Obama, ACM SIGDA Outstanding New Faculty Award, NAS Kavli fellowship, Cisco IoT Security Grand Challenge Award, Young faculty/CAREER awards from NSF, DARPA, ONR, ARO, MIT Technology Review TR-35, and a Best Student Paper Award at ACM SIGMOBILE (Mobicom).
Host: Prof. Massoud Pedram
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Computer Science Faculty Meeting
Wed, Feb 25, 2015 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Event details will be emailed to invited attendees.
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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Communications, Networks & Systems (CommNetS) Seminar
Wed, Feb 25, 2015 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Negar Kiyavash, University of Illinois at Urbana-Champaign
Talk Title: A Timing Approach to Causal Network Inference
Series: CommNetS
Abstract: One of the paramount challenges of this century is that of understanding complex, dynamic, large-scale networks. Such high-dimensional networks, including communication, social, financial, and biological networks, cover the planet and dominate modern life. In this talk, we propose novel approaches to inference in such networks, using timing as an underutilized degree of freedom that provides rich information. We present a framework for learning the structure of the directed information graphs. These graphs are a new type of probabilistic graphical model based on directed information that succinctly capture casual dynamics among random processes in stochastic networks. In the presence of large data, we propose algorithms that identify optimal or near-optimal approximations to the topology of the network.
Biography: Negar Kiyavash is Willett Faculty Scholar at the University of Illinois and a joint Associate Professor of Industrial and Enterprise Engineering and Electrical and Computer Engineering. She is also affiliated with the Coordinated Science Laboratory (CSL) and the Information Trust Institute. She received her Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2006. Her research interests are in design and analysis of algorithms for network inference and security. She is a recipient of NSF CAREER and AFOSR YIP awards and the Illinois College of Engineering Dean's Award for Excellence in Research.
Host: Ashutosh Nayyar and the Ming Hsieh Institute
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Aerospace and Mechanical Engineering Seminar Series
Wed, Feb 25, 2015 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Alejandra Uranga, Research Engineer in the MIT Department of Aeronautics and Astronautics
Talk Title: Recent Research in CFD and Aerodynamics
Series: Aerospace and Mechanical Engineering Seminar Series
Abstract: This talk will present two research areas in aerodynamics. The first part will focus on the simulation of flows around straight and swept wings with separation-bubble transition at low Reynolds numbers. The findings are relevant to the design of Micro Air Vehicles and the study of animal flight. We use an Implicit Large Eddy Simulation approach with a high-order Discontinuous Galerkin finite element method. The physical formulation is based only on first principles, and does not rely on explicit empirical subgrid models. The simulations were used to quantify the relative importance of Tollmien-Schlichting and Cross-Flow wave instabilities for a range of wing sweep angles. We also demonstrate the importance of non-linear TS and CF instability interactions for intermediate sweep angles.
In the second part of this presentation we will present recent theoretical and experimental work targeting new energy-efficient transport aircraft. Novel configurations together with boundary layer ingesting propulsion promise very large savings in fuel burn even with current structural and engine technology. The experimental work is the first definitive measurement of the aerodynamic benefits of boundary layer ingestion for a realistic transport aircraft configuration.
Biography: Dr Alejandra Uranga is a Research Engineer in the MIT Department of Aeronautics and Astronautics. She holds a MASc from the University of Victoria, BC, Canada, and a PhD degree from MIT. Her research has been in Computational Fluid Dynamics, specifically the modeling and simulation of turbulence and transition. She is currently the project Technology Lead for design, development, simulation, and wind tunnel testing of an advanced transport aircraft concept under the NASA N+3 program.
Host: Paul Ronney
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Valerie Childress
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Social Media in the Job Search
Wed, Feb 25, 2015 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Learn ways to utilize technology to find job opportunities, maximize your networking, and building an online presence!
Location: Seeley G. Mudd Building (SGM) - 123
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Services
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MATT Construction Info Session
Wed, Feb 25, 2015 @ 05:30 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
You're invited to attend MATT Construction's information session to learn more about their company and current opportunities.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Services
