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Events for January 31, 2013
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Focused on parallel and distributed computingThu, Jan 31, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: TBA, TBA
Talk Title: TBA
Series: EE598 Seminar Course
Abstract: Weekly seminars given by researchers in academia and industry including senior doctoral students in EE, CS and ISI covering current research related to parallel and distributed computation including parallel algorithms, high performance computing, scientific computation, application specific architectures, multi-core and many-core architectures and algorithms, application acceleration, reconfigurable computing systems, data intensive systems, Big Data and cloud computing.
Biography: Prerequisite: Students are expected to be familiar with basic concepts at the level of graduate level courses in Computer Engineering and Computer Science in some of these topic areas above. Ph.D. students in Electrical Engineering, Computer Engineering and Computer Science can automatically enroll. M.S. students can enroll only with permission of the instructor. To request permission send a brief mail to the instructor in text format with the subject field ââ¬ÅEE 598ââ¬Â. The body of the mail (in text format) should include name, degree objective, courses taken at USC and grades obtained, prior educational background, and relevant research background, if any.
Requirements for CR:
1. Attending at least 10 seminars during the semester
There will be a sign-in sheet and a sign-out sheet at every seminar. All students must sign-in (before 2:00pm) and sign-out (after 3:00pm). The sign-in sheet will not be available after 2:00pm, and the sign-out sheet will not be available before 3:00pm.
2. Submitting a written report for at least 5 seminars
The written report for each seminar must be 1-page single line spaced format with font size of 12 (Times) or 11 (Arial) without any figures, tables, or graphs. The report must be submitted no later than 1 week after the corresponding seminar, and must be handed only to the instructor either on the seminar times or during office hours. Late reports will not be considered.
The report must summarize studentââ¬â¢s own understanding of the seminar, and should contain the following:
- Your name and submission date [1 line]
- Title of the seminar, name of the speaker, and seminar date [1 line]
- Background of the work (e.g., applications, prior research, etc.) [1 paragraph]
- Highlights of the approaches presented in the seminar [1-2 paragraphs]
- Main results presented in the seminar [1-2 paragraphs]
- Conclusion (your own conclusion and not what was given by the speaker) [1 paragraph]
Reviewing papers related to the topic of the seminar, and incorporating relevant findings in the
reports (e.g., in the conclusion section) is encouraged. In such cases, make sure to clearly indicate
the reference(s) used to derive these conclusions.
Host: Professor Viktor K. Prasanna
More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) -
Audiences: Everyone Is Invited
Contact: Janice Thompson
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
EE 598: ELECTRICAL ENGINEERING RESEARCH SEMINAR COURSE #3
Thu, Jan 31, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Anand Panangadan, PhD, Senior Research Associate, Electrical Engineering, USC Viterbi School of Engineering
Talk Title: Adaptive Sensing for Resource Management in Distributed Sensor Networks
Series: EE598 Seminar Course
Abstract: Energy conservation is an important issue in embedded sensor networks since large batteries are not practical in many real-world scenarios. The issue becomes even more critical in distributed sensor networks connected with wireless links due to the high energy cost of radio communication. In this talk, I will present the use of Markov Decision Processes (MDP) as a framework for coordinated sensing and adaptive communication between distributed sensors. The technique enables distributed sensors to adapt their sampling rates in response to changing event criticality and the availability of resources (energy) at each sensor node. The technique was developed as part of a body sensor network project at the Childrenââ¬â¢s Hospital Los Angeles for continuous mobile human health monitoring. Similar adaptive sensing methods were also applied to other distributed sensing applications such as a coastal ocean monitoring system.
Biography: Anand Panangadan is a Senior Research Associate working with Prof. Viktor Prasanna at USC Viterbi School of Engineering. Prior to this appointment, he was a Post-doctoral Affiliate at the NASA Jet Propulsion Laboratory (JPL) and a Research Specialist at the Saban Research Institute of the Childrenââ¬â¢s Hospital Los Angeles. His research interests are in artificial intelligence and machine learning, and in the application of techniques from these fields to the autonomous control of networked sensors. He received his Ph.D. in Computer Science from the University of California Los Angeles and the B.Tech. degree in Computer science and Engineering from the Indian Institute of Technology, Bombay.
Host: Professor Viktor K. Prasanna
More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Janice Thompson
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
