Carnegie Mellon University

Daniel Siewiorek

Daniel Siewiorek

Buhl University Professor, Electrical and Computer Engineering
Human-Computer Interaction Institute
Computer Science Department

Address 5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

Professor Daniel P. Siewiorek is the Buhl University Professor of Electrical and Computer Engineering and Computer Science at Carnegie Mellon University. He has designed or been involved with the design of nine multiprocessor systems and has been a key contributor to the dependability design of over two dozen commercial computing systems. Dr. Siewiorek leads an interdisciplinary team that has designed and constructed over 20 mobile computing systems. He has written nine textbooks in addition to over 475 papers. He is former Director of the Quality of Life Technology NSF Engineering Research Center and previously served as Director of the Engineering Design Research Center and co-founder of it's successor organization, the Institute for Complex Engineered Systems. In addition he has served as Department Head of the Human Computer Interaction Institute, Chairman of the IEEE Technical Committee on Fault-Tolerant Computing and as founding Chairman of the IEEE Technical Committee on Wearable Information Systems. He has been the recipient of the AAEE Terman Award, the IEEE/ACM Eckert-Mauchly Award, the ACM SIGMOBILE Outstanding Contributions Award, and the IEEE Computer Society Taylor L. Booth Education Award. He is a Fellow of IEEE, ACM, and AAAS and is a member of the National Academy of Engineering.

Education

Ph.D., 1972 
Electrical Engineering 
Stanford University

M.S., 1969 
Electrical Engineering 
Stanford University

B.S., 1968 
Electrical Engineering 
University of Michigan, Ann Arbor

Research

Design Automation

A major concern in design is the increasing time from conception to realization. As digital systems grow in complexity, design time has become a significant factor in the success of a product. Professor Siewiorek uses knowledge-based techniques in both traditional design automation tasks, such as physical design, and in new, higher levels of design. A structured, top-down design methodology produces complete computer systems, including electronic, mechanical and thermal aspects optimized to the design's constraints.

Reliable Computing

As we have become more dependent on computers, the need for high availability and/or reliability has grown steadily. Professor Siewiorek is exploring the frontiers of reliable computing in three areas: measurement, modeling techniques, and architecture. Symptoms often appear days, and even weeks, prior to catastrophic failures. On-line trend analysis techniques discover indications of failure. Dependable systems are being constructed from commercial off-the-shelf components that were never designed for unexpected failures. Professor Siewioreks research group has developed a methodology for improving component and system behavior.

Context Aware Mobile Computing

Mobile computers provide automatic, portable access to information. Over two dozen generations of mobile computers have been designed and fabricated by interdisciplinary student groups for experiments in applications such as vehicle maintenance, aircraft manufacturing, and medical assistance. These systems are helping to define the future of how computing will be done.

Keywords

  • Computer architecture
  • Reliability
  • Context aware mobile computing
  • QoL technology
  • Rapid prototyping
  • Virtual coaches
  • Wearable computers
  • Design automation
  • Reliable computing
  • Context aware mobile computing