Research in EECS

The departmental research areas include (click a title to find out more):

  • Ad hoc Computing and Networking - includes research in mobile ad hoc networking, mobile and pervasive computing, and sensor networks. Focus areas include credible network simulation, cyber-physical systems, middleware, mobile social applications, and dynamic data management. Interdisciplinary research also exists, mainly in the use of wireless sensor networks for environmental monitoring and development of energy efficient buildings.
  • Antennas - includes research on antennas, phased arrays, smart antennas, genetic algorithms and optimization.
  • Computer Graphics and Image Processing - interests span scientific visualization, computer graphics, computational geometry and topology, data compression, and medical image analysis.
  • Energy Systems and Power Electronics - is focused on both fundamental and applied research in the interrelated fields of conventional electric power systems and electric machinery, renewable energy and distributed generation, energy economics and policy issues, power quality, power electronics and drives. The overall scope of research encompasses a broad spectrum of electrical energy applications including investor-owned utilities, rural electric associations, manufacturing facilities, regulatory agencies, and consulting engineering firms.
  • High Performance Computing & Applied Algorithms - an interdisciplinary research area that is applied to areas such as VLSI design automation, cheminformatics, computational materials, computer-aided design, and cyber-physical systems. High performance computing is an area that spans parallel processing, fault tolerance and checkpointing, real number error/erasure correcting codes, random matrices, numerical linear algebra algorithms and software, and computational science and engineering.
  • Information and Systems Sciences - is an interdisciplinary research area that encompasses the fields of control systems, communications, signal and image processing, compressive sensing, robotics, and mechatronics. Focus areas include intelligent and learning control systems, fault detection and system identification, computer vision and pattern recognition, sensor development, mobile manipulation and autonomous systems. Applications can be found in renewable energy and power systems, materials processing, sensor and control networks, bio-engineering, intelligent structures, and geosystems.
  • Education - includes areas such as educational technologies (e.g., instructional software-simulations and games), educational software, on-line education (e-learning), students' cognition and learning styles, human computer interaction, STEM education, and K-12 education.

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