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Events for December 11, 2015
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Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Fri, Dec 11, 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: Everyone Is Invited
Contact: Viterbi Admission
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AI Seminar- Kernel Methods for Unsupervised Domain Adaptation
Fri, Dec 11, 2015 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Boqing Gong , University of Central Florida
Talk Title: Kernel Methods for Unsupervised Domain Adaptation
Series: Artificial Intelligence Seminar
Abstract: In many applications (computer vision, natural language processing, speech recognition, etc.), the curse of domain mismatch arises when the test data (of a target domain) and the training data (of some source domain(s)) come from different distributions. Thus, developing techniques for domain adaptation, i.e., generalizing models from the sources to the target, has been a pressing need. In this talk, I will describe our efforts and results on addressing this challenge.
A key observation is that domain adaptation entails discovering and leveraging latent structures in the source and the target domains. To this end, we develop kernel methods. Concretely, our kernel-based adaptation methods exploit various latent structures in the data. In this talk, I will give 3 examples: subspaces for aligning domains, landmarks for bridging the gaps between domains, and clusters by distribution similarity for identifying unknown domains. We demonstrate their effectiveness on well-benchmarked datasets and tasks. This work is conducted with my Ph.D. adviser Dr. Fei Sha and our collaborator Dr. Kristen Grauman.
Biography: Boqing Gong is an Assistant Professor in the Department of Computer Science and the Center for Research in Computer Vision at University of Central Florida. His research lies at the intersection of machine learning and computer vision, and has been focusing on domain adaptation, zero-shot/transfer learning, and visual analytics of objects, attributes, and human activities. Boqing received his Ph.D. in Computer Science from the University of Southern California in 2015, where his work was partially supported by the Viterbi School of Engineering Doctoral Fellowship. He holds a Master of Philosophy degree from the Chinese University of Hong Kong and a Bachelor of Engineering degree from the University of Science and Technology of China.
Host: Linhong Zhu
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=26f8433757004b14aaf06c222eda19211dLocation: 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=26f8433757004b14aaf06c222eda19211d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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Graph Signal Processing in the Spectral Domain: Filter Design, Denoising, and Applications
Fri, Dec 11, 2015 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Yuichi Tanaka, Tokyo University of Agriculture and Technology Tokyo, Japan
Talk Title: Graph Signal Processing in the Spectral Domain: Filter Design, Denoising, and Applications
Abstract: Graph signal processing (GSP) is an emerging field of signal and information processing. It aims to extract useful information from complex structured data. There are many potential application areas, e.g., sensor networks including IoT, smart grid, biomedical engineering, machine learning, computer vision/graphics, pattern recognition, bioinformatics, and geographic information systems. First, fundamentals of graph signal processing are briefly introduced in this talk, then some recent works on GSP in the graph spectral (graph Fourier) domain, which include wavelet/filter bank design, graph signal denoising, sensor placement in the GSP perspective, and EEG signal classification, will be presented.
Biography: Yuichi Tanaka received the B.E., M.E. and Ph.D. degrees in electrical engineering from Keio University, Yokohama, Japan, in 2003, 2005 and 2007, respectively. He was a Postdoctoral Scholar at Keio University, Yokohama, Japan, from 2007 to 2008, and supported by the Japan Society for the Promotion of Science (JSPS). From 2006 to 2008, he was also a visiting scholar at the University of California, San Diego (VideoProcessing Group supervised by Prof. T. Q. Nguyen). From 2008 to 2012, he was an Assistant Professor in the Department of Information Science, Utsunomiya University, Tochigi, Japan. Since 2012, he has been an Associate Professor in Graduate School of BASE, Tokyo University of Agriculture and Technology, Tokyo, Japan. His current research interests are in the field of multidimensional signal processing which includes: graph signal processing, image and video processing with computer vision techniques, distributed video coding, objective quality metric, and effective spatial-frequency transform design. Dr. Tanaka has been an Associate Editor of IEICE Trans. Fundamentals since 2013. Currently he is an elected member of the APSIPA Image, Video and Multimedia Technical Committee. He was a recipient of the Yasujiro Niwa Outstanding Paper Award in 2010, the TELECOM System Technology Award in 2011, and Ando Incentive Prize for the Study of Electronics in 2015. He also received APSIPA ASC 2014 Best Paper Award.
Host: Professor Antonio Ortega
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Integrated Systems Seminar Series
Fri, Dec 11, 2015 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Jeyanandh Paramesh, Carnegie Mellon University
Talk Title: Ultra-wideband Millimeter-wave and Reconfigurable RF Integrated Circuits for Next Generation Communications
Series: Integrated Systems Seminar
Abstract: The demand for wireless capacity and data rates continues to grow unabated. In order to meet this demand, future communication systems will incorporate a mix of potential solutions, including reconfigurable, spectrum sharing radios in the low GHz bands, and (sub)mm-wave radios. This talk presents recent research aimed at addressing these challenges, including the design of ultra-wideband mm-wave beamformers, and their constituent circuit blocks. This talk will also present Carnegie Mellon's long-standing research on reconfigurable RF transceivers using phase-change vias, which offer reversible transformation between an extremely low on-resistance and an extremely high off-resistance, together with very low parasitic capacitance.
Biography: Dr. Jeyanandh Paramesh received the B.Tech, degree from IIT, Madras, the M.S degree from Oregon State University and the Ph.D degrees from the University of Washington, Seattle, all in Electrical Engineering. He is currently Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. He has held product development positions with Analog Devices, where he designed high-performance data converters, and Motorola where he designed analog and RF integrated circuits for cellular transceivers. From 2002 to 2004, he was with the Communications Circuit Lab, Intel where he developed multi-antenna receivers, high-efficiency power amplifiers and high-speed data converters high data-rate wireless transceivers. His research broadly addresses design and technological challenges related to RF and mixed-signal integrated circuits and systems for emerging applications.
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam. Organized and hosted by SungWon Chung.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
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PhD Defense - Sangwon Lee
Fri, Dec 11, 2015 @ 03:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: A Framework for Runtime Energy Efficient Mobile Execution
Ph.D. Candidate: Sangwon Lee
Friday, December 11, 2015
3:00PM
EEB 349
Abstract:
As mobile applications become more complex, computation offloading on mobile devices emerges for one possible energy saving approach as well as improving performance. Existing approaches to offload requires significant amount of method call state to be transferred to the remote server. Furthermore, existing approaches are unable to handle the increasingly popular native method calls that are embedded in most mobile applications.
In this thesis we present a framework named FREEME for efficient offloading of computations to a remote server. At the first, we present a comprehensive quantification of a mobile phone's energy consumption using an in-filed deployed Wireless Body Are Networks called KNOWME. We quantify the energy impact of different programming paradigms, sensing modalities, data storage, and conflicting computation and communication demands. Based on the knowledge gained from the measurement studies, we propose an Active Energy Profiling strategy that uses short profiling periods to automatically determine the most energy efficient choices for running a WBAN. After that, we propose propose a novel static analyzer to identify offloadable methods from a legacy Android application.
The proposed analyzer provides a comprehensive analysis that can analyze both java method and native method.
At the last, we present the FREEME in detail; (1) it automatically analyzes the Java class methods and user-defined native methods in Android applications to identify target methods for remote execution. (2) FREEME's static analysis identifies minimum set of data elements that are necessary for remote execution thereby shrinking the size of data transferred to the server. The server also optimizes the amount of data it sends back to the mobile phone by eliminating data transfers of unmodified data. FREEME implements these approaches within the Android framework by developing novel static analysis and object serialization approaches. We evaluated FREEME on Android phones and show that significant energy and latency reductions can be achieved with FREEME.
Biography:
Sangwon Lee is a Ph.D. candidate in the department of computer science at the University of Southern California. In 2008, he was working in LG Electronics as a Senior Research Engineer. He received the M.S. degree in computer science from from the University of Southern California, and the B.A. degree in computer science from the Seoul National University of Technology, Seoul, South Korea. Before his studies at USC, he worked as a system architecture and a DBA for 6 years. He established his own company, Interrush Korea Inc., in 2002. His general interest is in mobile applications and wireless sensor networks.
Committee:
Prof. Murali Annavaram (chair)
Prof. Bhaskar Krishnamachari
Prof. Aiichiro Nakano
Location: 349
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
