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Events for June 10, 2009
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Space Mission Fundamentals
Wed, Jun 10, 2009
Executive Education
Conferences, Lectures, & Seminars
This three-day course provides an overview of the fundamental concepts and technologies of modern space mission systems. Space missions and satellite systems combine science, engineering, and external phenomena. The course will concentrate on scientific and engineering foundations of space missions, spacecraft systems, and interactions among various subsystems.To Register:
http://viterbi.usc.edu/shortcoursesLocation: USC Campus or Online
Audiences: Everyone Is Invited
Contact: Viterbi Professional Programs
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Meet USC: Admission Presentation, Campus Tour, & Engineering Talk
Wed, Jun 10, 2009
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
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. 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 9:00 a.m. and again at 1:00 p.m. Please visit http://www.usc.edu/admission/undergraduate/visit/meet_usc.html to check availability and make an appointment. Be sure to list an Engineering major as your "intended major" on the webform!
Location: USC Admission Center
Audiences: Prospective Freshmen and Family Members - RESERVATIONS REQUIRED
Contact: Viterbi Admission
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Distributed Sensing with Software Defined Radar Platforms
Wed, Jun 10, 2009 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Emre Ertin,
Ohio State UniversityAbstract: There has been a surge of interest in the notion of employing large numbers of distributed sensors for applications ranging from environmental monitoring to radar surveillance to biomedical sensing. Envisioned are smart sensor nodes with on-board sensing, computation, storage and communication capability. Such sensing systems simultaneously present unprecedented opportunities and unique challenges in collaborative signal processing. A particular challenge is the need for distributed inference algorithms, which balance the limited energy, computation and communication resources with sensing objectives. In this talk we review resource-constrained signal processing problems in a probabilistic framework and focus on sensor management problem. We consider software defined radar platforms with waveform adaptive transmission capability and study the problem of sensor scheduling for maximizing extracted information from the scene. We present a game theoretic approach to distributed sensor management and compare it with the centralized solution. Next, we propose a non-parametric method for multimodal data fusion of SDR information with other sensing modalities (EO, seismic acoustic) based on generalized likelihood maps. We conclude with experimental results from a layered multimodal data collection campaign at the Ohio State University.Biography: Emre Ertin is a Research Assistant Professor with the Department of ECE and Institue for Sensing Systems at the Ohio State University. He received the BS degree in Electrical Engineering and Physics from Bogazici University, Turkey in 1992, the M.Sc degree in Telecommunication and Signal Processing from Imperial College, UK in 1993, and the Ph.D degree in Electrical Engineering from the Ohio State University in 1999. From 1999 to 2002 he was with the Core Technology Group at Battelle Memorial Institute, as the technical lead for Smart Sensor Technology development. After joining OSU in 2003, he served as PI and co-PI on AFOSR, AFRL, ARL, DARPA, NRL, NIH funded projects on microwave sensor concepts/applications and sensor networks. His current research interests are statistical signal processing, wireless sensor networks, radar signal processing, ocean remote sensing, biomedical signal processing, distributed signal processing and optimization. Host: Urbashi Mitra, ubli@usc.edu, EEB 540, x04667Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos