Electrical Engineering:Systems Graduate Program
Graduate Chair: Achilleas Anastasopoulos 734-615-4024
Graduate Program Coordinator: Becky Turanski 734-764-9387
Financial Aid Coordinator: Ben Landry 734-764-9544
The Electrical Engineering:Systems Graduate Program offers degrees in the following Major Areas of Concentration:
Communications
 Research focuses on system design, optimization, and performance analysis as well as on the development of theory to characterize the fundamental limits of communication system performance, including its mathematical foundations. Areas of specialization include digital modulation, channel coding, source coding, information theory, optical communications, detection and estimation, spread spectrum communication, and multi-user communications and networks.
Communications Faculty: Achilleas Anastasopoulos, Mingyan Liu, Petar Momcilovic, David Neuhoff, Sandeep Pradhan, Wayne Stark, Demosthenis Teneketzis, Kim Winick
Control
 Research focuses on fundamental properties of dynamical systems and developing algorithms to modify their behavior through control in order to satisfy performance objectives. Numerous system models are employed, including linear, nonlinear, stochastic, discrete event and queuing models. The faculty work on a wide variety of applications projects, including automotive powertrain control, manufacturing systems, communication networks, robotics, biped locomotion, aerospace, and intelligent transportation systems.
Control Faculty: Domitilla Del Vecchio, James Freudenberg, Jessy Grizzle, Stéphane Lafortune, Semyon Meerkov, and Demosthenis Teneketzis
Power/Energy (Area currently being developed)i
Research covers power systems and energy processing (power electronics and electromechanical conversion). The focus is on establishing fundamental system properties, and using that knowledge to achieve performance enhancement through systematic design strategies. Projects include dynamic performance of wind generation systems, grid integration of plug hybrid electric vehicles, dynamics and control of microgrids, load control strategies, and robustness of large-scale power systems to parameter uncertainty.
Power/Energy Faculty: Ian Hiskens; other faculty will be joining in Fall 2009.
Robotics and Computer Vision (Area currently being developed)
Robots are evolving from stationary devices that perform manufacturing tasks to mobile, information gathering, computing, and decision making platforms. We are working on the modeling, estimation and control of multi-robot (multi-agent) systems for applications ranging from intelligent transportation networks to search and rescue. We are developing the fundamentals of computer vision, the science and technology of giving machines the ability to see, in order to perform real-world visual tasks such as autonomous navigation, visual surveillance, or content-based image and video indexing. We are also exploring the feedback control principles of bipedal robotic locomotion, with the goal of endowing machines with the ability to walk on two legs with the agility of a human.
Robotics and Computer Vision Faculty: Domitilla Del Vecchio, Jessy Grizzle, Silvio Savarese
Signal Processing
 Research in signal processing deals with the representation, manipulation, and analysis of signals, images, video, and other media. Much of the signal processing research is a collaborative activity within other areas of EECS, particularly in the areas of communication, electromagnetics, artificial intelligence, and biosystems. Furthermore there are active interdisciplinary collaborations with the departments of music, medicine, dentistry, biological sciences, genetics, mechanical engineering, nuclear engineering and radiation sciences, statistics, biostatistics, and mathematics. Current projects include: image reconstruction, restoration, and segmentation; fast algorithms; tomography and other inverse problems; wavelets and time-frequency distributions; image and video coding; steganography and watermarking; signal detection and target tracking in electro-optical, acoustic and radar remote sensing; pattern recognition and pattern matching; parameter estimation and performance bounds. Applications include: bioinformatics; psychoacoustics; musical instrument sound synthesis and analysis; MIMO communications; packet switched networking; wireless sensor networks; neural measurements and analysis; medical imaging; and surveillance for security applications.
Signal Processing Faculty: Jeffrey Fessler, Alfred Hero, David Munson, Rajesh Nadakuditi, Clayton Scott, Gregory Wakefield, Andrew Yagle
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