IEEE Signal Processing Society Japan Chapter 会員各位

                           IEEE Signal Processing Society Japan Chapter
                                    Chair      嵯峨山茂樹(東京大学)
                                    Vice Chair 貴家 仁志 (首都大学東京)

IEEE Signal Processing Society Japan Chapterの主催で、
8月2日(火)に京都大学で、8日(月)に東京大学で、
Antonio Ortega先生によるDistinguished Lecturer講演会を開催します。
IEEE会員の方はもちろん、会員でない方の参加も可能です。
事前申込み不要、参加無料です。
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                        記

      IEEE SPS Japan Chapter Distinguished Lecturer 講演会

(1) Speaker (講演者)
Professor Antonio Ortega
Signal and Image Processing Institute
Department of Electrical Engineering
University of Southern California (USC), USA

(2) Talk Title (講演題目)
Seeing the Signals:
Applying Signal Processing Tools to Real World Data Analysis Problems

(3) Date and Place (日時・場所)

(3-1) Kyoto (京都会場)
8月2日(火) 13:30-15:00
京都大学 工学部総合校舎 213号室...アクセス
August 2 (Tue) 13:30-15:00
Kyoto University, Yoshida Campus, Integrated Research Bldg, Room 213...Access

(3-2) Tokyo (東京会場)
8月8日(月) 13:30-15:00
東京大学 工学部６号館３階セミナー室Ａ＆Ｄ...アクセス
August 8 (Mon) 13:30-15:00
University of Tokyo, Hongo Campus, Engineering Building 6, Seminar Room A&D...Access

(4) Talk Abstract (講演概要)

Standard signal processing curricula introduce important concepts
(sampling, transforms, etc) using as examples datasets that we can all
immediately consider as "signals", including for example speech or
image processing. The goal of this talk is to show how these
traditional signal processing techniques, and new ones that are being
developed now, can be applied well beyond what may be considered
signals. This is particularly important as we face an era where the
cost of acquisition and storage of data continues to drop
significantly. A key challenge in coming years is then to develop the
tools to extract the most useful and critical information from these
datasets: signal processing can play a crucial role to address this
challenge.

In this talk we use three examples in our recent work to illustrate
how signal processing concepts can be applied to emerging datasets. In
the context of network security, we describe a method to "sample"
packet arrival information so as to minimize the impact of the drop of
information on the detection of denial of service attacks. In the
context of an oilfield data analysis scenario, we show how new forms
of tomographic reconstruction can be used to estimate oil reservoir
characteristics. Finally, we describe our recent work on wavelets on
graphs, which enables us to treat datasets defined on arbitrary graphs
similarly to standard signals, for example providing a multiresolution
representation for these graph signals.

(5) Speaker Biography (講演者紹介)

Antonio Ortega received the Telecommunications Engineering degree from
the Universidad Politecnica de Madrid, Madrid, Spain in 1989 and the
Ph.D. in Electrical Engineering from Columbia University, New York, NY
in 1994. At Columbia he was supported by a Fulbright scholarship.
 
In 1994 he joined the Electrical Engineering-Systems department at the
University of Southern California (USC), where he is currently a
Professor.  He currently serves as Associate Chair of EE-Systems and
as was previously a director of the Signal and Image Processing
Institute at USC.  He is a Fellow of the IEEE, and a member of ACM. He
has been Chair of the Image and Multidimensional Signal Processing
(IMDSP) technical committee and a member of the Board of Governors of
the IEEE Signal Processing Society (2002).  He has been technical
program co-chair of ICIP 2008, MMSP 1998 and ICME 2002. He has been
Associate Editor for the IEEE Transactions on Image Processing, the
IEEE Signal Processing Letters and the EURASIP Journal on Advances in
Signal Processing.  He received the NSF CAREER award, the 1997 IEEE
Communications Society Leonard G. Abraham Prize Paper Award, the IEEE
Signal Processing Society 1999 Magazine Award and the 2006 EURASIP
Journal of Advances in Signal Processing Best Paper Award.

His research interests are in the areas of multimedia compression,
communications and signal analysis. His recent work is focusing on
distributed compression, multiview coding, error tolerant compression,
wavelet-based signal analysis and information representation in
wireless sensor networks. His work at USC has been or is being funded
by agencies such as NSF, NASA, DOE, as well as a number of
companies. 30 PhD students have completed their PhD thesis under his
supervision at USC and his work has led to over 250 publications in
international conferences and journals.


2日(火)の京都会場の講演会は、SPS Kansai Chapterとの共催です。
講演終了後に、松山研究室、奥乃研究室、河原研究室の見学を予定しています。

8日(月)の講演終了後には嵯峨山・亀岡研究室見学を予定しています。