Department of Department of Electrical and Systems EngineeringElectrical and Systems Engineering

Joseph A. O’Sullivan, Hiro Mukai, Bijoy Ghosh, Ronald S. Indeck

Report of the EEReport of the EE--SSM Merger CommitteeSSM Merger Committee

National Council Meeting, December 5, 2002

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Merger Timeline: Previous CommitteeMerger Timeline: Previous Committee• “Future of Electrical Engineering at Washington

University” Report to National Council, April 2002• Re-establish a culture of excellence

– renewed emphasis on research– new departmental leadership– faculty turnover and renewal

• Reorganize to leverage existing strengths– CoE to CS to enable CoE to thrive,– combine EE with SSM to form Department of Electrical and

Systems Engineering• Maintain high caliber undergraduate program

– focus on quality more than quantity– strengthen connection to research

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Merger TimelineMerger Timeline• First Major Consequence: four Computer Engineering

faculty moved from EE to CS July 1; renamed Department of Computer Science and Engineering

• EE-SSM merger committee appointed May 2002• Organized EE-SSM faculty meetings June-September• Led discussions on future research directions• Dean Byrnes presentation to faculty Sept. 20• Faculty vote to merge Sept. 30

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Future DirectionsFuture Directions• Leverage existing strengths that provide

unique opportunities for Washington University

• Identify areas of significant future growth in Electrical and Systems Engineering

• Ongoing process– Systems Biology and Biomedical Imaging– Sensor and Control Networks– Security Technologies

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Systems BiologySystems Biology

Oltvai, Barabasi, Science, Oct. 2002

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

• Cells and microorganisms have an impressive capacity for adjusting their intracellular machinery in response to changes in their environment, food availability and developmental state.

• Although molecular biology offers many spectacular successes, detailed inventory of genes, proteins and metabolites is not sufficient to understand the cell’s complexity.

• In a cell, the information storage, processing and execution takes place at various distinct levels of organization: the cells genome, transcriptome, proteome and metabolome.

• Integration of different organizational levels have forced us to view cellular functions as distributed among groups of heterogenous components that all interact within a network.

• Although individual components are unique to a given organism, topological properties of cellular networks share a surprising similarity to natural and social networks.

Systems BiologySystems Biology

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

From Genetic sequencing to a systems level understanding of Pathways, Motifs, Modules and Full Network.

Goal: understand the governing laws of cell biology.

Systems BiologySystems Biology

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Biomedical ImagingBiomedical ImagingWashington University is a leader in Imaging Science and

Engineering• Biomedical imaging.

– CT, MRI, Ultrasound, Optical Imaging.– Genomic imaging: gels, microarrarys– Integrated CT-PET– micro- CT, micro-PET, micro-MR, and micro-optical imaging– NIBIB; $112M in FY2002; requested $121M in FY2003

• Targeted initiative: biomedical sensors• Targeted initiative: molecular imaging

• Imaging fundamentals.• Related imaging.

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Example: MicroExample: Micro--CT ImagingCT Imaging

SkyScan website; images of the ankle of a living rat

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Biomedical ImagingBiomedical ImagingWashington University is a leader in Imaging Science and

Engineering• Biomedical imaging.

– CT, MRI, Ultrasound, Optical Imaging.– Genomic imaging: gels, microarrarys– Integrated CT-PET– micro- CT, micro-PET, micro-MR, and micro-optical imaging– NIBIB

• Imaging fundamentals.– Physics of sensors and scenes; volumetric and dynamic modeling;

optimization theory; signal and image processing; information theory; implementations; complexity theory

– Remote sensing; object recognition; parameter estimation; semantic information; multisensor modeling

• Related imaging.– Human and computer vision; multiresolution analysis; biometrics

including fingerprints, retinal scans, hand scans, face images, DNA

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

……Hiro MukaiHiro Mukai

J. A. O’Sullivan, H. Mukai,B. Ghosh, R. S. Indeck 12/05/02

Biomedical ImagingBiomedical ImagingWashington University is a leader in Imaging Science and

Engineering• Biomedical imaging.

– CT, MRI, Ultrasound, Optical Imaging.– Genomic imaging: gels, microarrarys– Integrated CT-PET– micro- CT, micro-PET, micro-MR, and micro-optical imaging– NIBIB

• Imaging fundamentals.– Physics of sensors and scenes; volumetric and dynamic modeling;

optimization theory; signal and image processing; information theory; implementations; complexity theory

– Remote sensing; object recognition; parameter estimation; semantic information; multisensor modeling

• Related imaging.– Human and computer vision; multiresolution analysis; biometrics

including fingerprints, retinal scans, hand scans, face images, DNA