Research Directions in Electrical Engineering Joseph A. O Sullivan Committee Research Organization Other Universities Future
Ad Hoc Committee on Electrical Engineering at Washington University Appointed by Dean at end of September R. S. Indeck, J. A. O Sullivan, J. C. Schotland, J. S. Turner Mission: Provide a vision for the future of Electrical Engineering at Washington University Meet regularly Invited Dean to join committee in November Today: Progress Report to EE Faculty Jody: Research directions Chris: Specific Considerations for Washington University Goal: Present ideas, seek further input
Departmental Missions Undergraduate Curriculum Graduate Curriculum Service Missions Research
Departmental Missions Undergraduate Curriculum DSP First Ga. Tech Analog First UIUC Systems and Signals First UC Berkeley Information, Communication Graduate Curriculum Students are not useful until they know electromagetics Students need to know random processes before they can contribute Students need <<insert here>> first
A Strategy for Organizing a Department Undergraduate Curriculum Graduate Curriculum Service Missions Research Research First Excellence in all areas
Research First Strategy Examine outstanding departments Research organization Consider visions for future of EE Potential areas of growth Identify unique opportunities for Washington University Unique current strengths, unique potential
Potential Models: Other Universities UC Berkeley Stanford Georgia Tech Cal Tech MIT UIUC Harvard Princeton Yale Penn Duke Northwestern Rice Johns Hopkins Carnegie Mellon
Other Universities: Some Lessons Learned Research Organization Strategy Few Broad areas Laboratory or Center Based Several (> 5) areas Focused Research Areas Scientific problem based Organization depends on institution
EE at Stanford The Department is made up of five Laboratories: Computer Systems Laboratory (CSL) Solid State and Photonics Laboratory (SSPL) Information Systems Laboratory (ISL) Integrated Circuits Laboratory (ICL) Space, Telecommunications and Radioscience Laboratory (STARLab) The EE Department Executive Committee is made up of the Directors of the five Laboratories together with the Chair, Vice Chair, Associate Chair, and Assistant Chair.
Computer Systems Laboratory (CSL) Graphics Computer Aided Design Core System Software VLSI and Architecture Computer Systems Networking Human Computer Interaction Information management
Solid State and Photonics Laboratory (SSPL) Surfaces and interfaces Nanostructures and nanodevices Photonics Quantum noise and computing Si, GaAs devices Magnetics Other
Information Systems Laboratory ISL Research Groups Convex Optimization Group Multivariable Control, Simulation, Optimization and Signal Processing for the Microlithographic Process Signal Compression and Classification Group Smart Antennas Research Group Smart Image Sensor Group Analog VLSI Systems Lab Magnetic Resonance Systems Research Lab Information Theory Group Information Systems Networking Laboratory
STARLab Space, Telecommunications and Radioscience Laboratory (STARLab) Research Areas Planetary Exploration Ionospheric and Magnetospheric Physics Radar and Radio Remote Sensing of the Environment Telecommunications Signal Processing Algorithms and Hardware
EE Research Areas Communications Computer-Aided Design for VLSI Control, Robotics & Biosystems Integrated Circuits Networks Optoelectronics & Electromagnetics Power & Electronics Systems Signal Processing Solid-State Devices CS Research Areas Artificial Intelligence Computer Architecture and Engineering Database Management Systems Multimedia, Human Computer Interaction and Computer Graphics Operating Systems Programming Systems Scientific Computing and Numerical Methods Theory
EECS-related Research Centers and Laboratories Berkeley Multimedia Research Center (BMRC) Berkeley Sensor and Actuator Center (BSAC) Berkeley Wireless Research Center (BWRC) Gigascale Silicon Research Center (GSRC) Microfabrication Laboratory (Microlab)
Solid State Engineering Optical Systems and Technology Networks, Communication and Control Signal Processing Parallel and Distributed Computing VLSI Design and CAD
Electrosciences Electrodynamics and Wave Interactions with Complex Media Microelectronics Systems and VLSI Microstructures Research Electronic and Photonic Materials Information Sciences and Systems Telecommunications and Networks Neural Networks -- Theory, Applications, and Implementations Communication Theory, Signal Processing, and Computational Learning Theory Imaging Sciences and Systems Embedded, Hierarchical Hybrid Control Systems
Computer Engineering Electronic Materials and Devices Information Sciences and Systems Optics and Optical Electronics
Microelectronics and Photonics Computer Engineering Signal Processing, Control, and Communications
Electronic Circuits and Systems systems and control signal and image processing communications Electronic Materials and Devices solid-state, nanoelectronic and optoelectronic materials and devices
AI / Natural Language C-- File System Performance HUBE / machsuif MORPH Networking Theory of Computation Ubiquitous Information VINO VLSI WWW Caching
CS & EE Artificial Intelligence Compilation/Architecture Graphics Internet Networks Systems Operating Systems and Performance Analysis (Vino Group) Programming Languages Theory of Computation Engineering Sciences Bioengineering Communications Environmental Sciences and Engineering Fluids Materials Science Multi-Media Robotics Solid Mechanics VLSI Systems Applied Physics Computational Physics Condensed Matter Materials Science Nanostructures (VN) Nanostructures (RW) Photonics Soft Condensed Matter X-Ray
Bioengineering Systems Area Communications, Control and Systems Networking Signal and Image Processing Computer Engineering Computer Architecture Computer Systems Laboratory Physical and Quantum Electronics Laser Science Nanoengineering Group Photonics Research Group Semiconductor Electronics Group
Computer Engineering Controls Electromagnetics Signal Processing and Communications Solid State Devices
The Fitzpatrick Center for Photonics and Communication Systems IMPACT - Research into microelectromechanical systems (MEMS) MONARCH - Research into microelectrofluidic systems (MEFS) Parallel Scientific Computing - N-Body Problems TUNE: Mathematical Models, Transformations, and System Support for Memory- Friendly Programming (joint with Computer Science and UNC-CH) Neural Network Based Compression MU-FASHION - Multi-Resolution Data Fusion using Agent-Bearing Sensors in Hierarchically-Organized Sensor Networks System-on-a-Chip Design and Test Automated Self-Configuring Surveillance Networks Theory and Algorithms for Sensor Deployment and Data Fusion in Distributed Sensor Networks Real-Time Fault-Tolerant Network Protocols SITAR - Scalable Intrusion-Tolerant Architecture for Distributed Services Mathematics of Failures in Complex Systems Laboratory for Intelligent and Nonlinear Control (LINC)
Adaptive Microsystems Laboratory Computational Sensory-Motor Systems Lab Control Systems Design Laboratory Parallel Computing and Imaging Lab Photonics and Optoelectronics Lab Semiconductor Microstructures Lab Sensory Communications and Microsystems Center for Language and Speech Processing Center for Imaging Science
Biotechnology Computer-Aided Design and VLSI Manufacturing Computer Architecture Computer Systems and Security Embedded and Real-Time Systems Intelligent Systems Magnetics and Optical Data Storage Microelectromechanical Systems Semiconductor Devices and Materials Signal Processing, Multimedia and Sensor Exploitation Systems Wireless and Broadband Communications
Caltech Electrical Engineering Research Centers Lee Center for Advanced Networking Center for Neuromorphic Systems Engineering Institute for Quantum Information Research Activities Circuits and VLSI Communications Control Devices Images and Vision Information Theory Learning, Pattern Recognition, and Neural Networks MEMS and Micromachining Networks and Wireless Communication Electromagnetics, Optics, and Optoelectronics RF, Microwave Circuits and Antennas Robotics Signal Processing
Aeronautics Applied and Computational Mathematics Applied Mechanics Applied Physics Bioengineering Civil Engineering Computation & Neural Systems Computer Science Control and Dynamic Systems Electrical Engineering Environmental Science and Engineering Materials Science Mechanical Engineering
MIT: Six Graduate Areas Systems, Communication, Control and Signal Processing Computer Science Electronics, Computers and Systems Energy and Electromagnetic Systems Materials and Devices Bioelectrical Engineering
MIT: Research Laboratories Artificial Intelligence Laboratory (AI) Center for Biomedical Engineering (CBE) Center for International Studies (CIS) Center for Materials Science and Engineering (CMSE) Center for Space Research (CSR) Edgerton Center Laboratory for Computer Science (LCS) Laboratory for Electromagnetic and Electronic Systems (LEES) Laboratory for Energy and the Environment Laboratory for Information and Decision Systems (LIDS) Leaders for Manufacturing Program (LFM) Lincoln Laboratory Media Laboratory Microsystems Technology Laboratories (MTL) NanoStructures Laboratory Operations Research Center (OR) Plasma Science & Fusion Center (PSFC) Research Laboratory of Electronics (RLE) System Design and Management Program (SDM) Technology, Management and Policy Program (TPP)
New Directions for EE: Plummer, etc. Bioengineering (Biology and EE) Photonics (including optics) Materials (including nanotechnology) Computational Math and Engineering Continuing directions: Information Technology, Communications, Computing, Sensing Research Trends Multidisciplinary Research Driven by Scientific Questions Increasing levels of complexity Increasing speed to implementation Rapid change Increasing breadth
Research First Approach: Multidisciplinary Research Driven by Scientific Questions Support multi-departmental multi-university research Importance of pursuing fundamental research Increasing complexity Importance of systems view Importance of computational issues (Math and CS) Breadth of Training
Research First Strategy Identify 2, 3, or 4 research areas Consolidate current strengths within areas Build from strength Research First Possible Research Areas
Research First Possible Research Area: Imaging Science and Engineering Interdisciplinary field in which Washington University is a leader Medical imaging. CT, MRI, Optical Imaging. Integrated CT-PET, micro- CT, micro-pet, micro-mr, and micro-optical imaging. NIBIB. Remote sensing and military imaging. Infrared, radar, laser radar, multispectral and hyperspectral imaging sensors. Earth sensing, for environmental and military purposes. Object recognition and parameter estimation. Merging with geographic information systems (topographic data, multiple sensor data, vegetation information). Industrial imaging. Computer vision in industrial settings, in manufacturing and robotic applications, and in security systems. Vision for automotive and transportation systems: optical cameras, radar sensors, infrared sensors, and laser radar sensors. Object and face recognition. Biometric systems: fingerprints, retinal scans, hand scans, face images, and ultimately DNA.
Research First Possible Research Area: Information Sciences and Systems Imaging science and engineering Communication theory and systems Information theory (transmission, storage, coding, compression, physical) Signal processing Control systems