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Daniel Siewiorek

Buhl University Professor – ECE, CS; Director – HCII
Carnegie Mellon, 1972 –

Contact Information
 
Department Electrical and Computer Engineering
Office 3519 Newell-Simon Hall
Telephone (412)-268-2570
Fax (412)-268-5576
Email dps@ece.cmu.edu
Website http://www.cs.cmu.edu/~dps/
Assistant Marian D'Amico

Research Interests

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.

In the News

Headshot of Daniel Siewiorek

Research Area

Computer Systems

Keywords

Computer architecture, reliability, context aware mobile computing

Education

PhD, 1972
Electrical Engineering
Stanford University

MS, 1969
Electrical Engineering
Stanford University

BS, 1968
Electrical Engineering
University of Michigan, Ann Arbor



5000 Forbes Avenue / Pittsburgh, PA 15213-3890 / Phone: 412-268-7400 / Fax: 412-268-2860