Leadership-Silicon Valley Campus - Carnegie Mellon University

Martin Griss

Martin Griss

Director, Disaster Management Initiative, Silicon Valley Campus

Office: B19, 1061

Phone: 650-335-2805

Email: martin.griss@sv.cmu.edu

Website: http://www.cmu.edu/silicon-valley/faculty-staff/griss-martin.html

Interests: software engineering, mobility, systems

Bio: Dr. Martin L. Griss is a Principal Research Scientist and Director of the Disaster Management Initative. He was the past Director of Carnegie Mellon Silicon Valley, founder and previous director of the CyLab Mobility Research Center. With over 40 years of experience in software development, education, and research, Martin spent two decades as Principal Laboratory Scientist at Hewlett-Packard and as Director of HP's 70-person Software Technology Laboratory. Martin is a leading authority on software reuse and component-based development and led HP’s corporate reuse program. Also at HP Labs, where he was widely known as HP’s “Reuse Rabbi,” Martin spearheaded work on software agents, software tools and process, UML standards, and component-based software engineering.

Martin earned his B.Sc. in mathematics and physics from the Technion in 1967 and a Ph.D. in physics from the University of Illinois in 1971. He has served on the ACM SIGSOFT Executive Committee, a joint ACM/IEEE “Software Engineering as Profession” taskforce, and numerous program, workshop and tutorial committees. He is co-author of the popular book Software Reuse: Architecture, Process and Organization for Business Success and has published over fifty papers, 60 technical reports, and numerous columns, panels, and tutorials on software reuse, components and agents. He is co-authoring a new book on active software with software agents, and he is a sought-after speaker and consultant, delivering invited talks and tutorials on reuse, software engineering, and software agents at academic, professional, and industry conferences and workshops.

Steven Rosenberg

Steven Rosenberg

Associate Director, Disaster Management Initiative, Silicon Valley Campus

Office: #210C

Phone: 650-302-3284

Email: steven.rosenberg@sv.cmu.edu

Website: http://www.cmu.edu/silicon-valley/faculty-staff/rosenberg-steven.html

Interests: semantic geotagging

Bio: Before coming to Carnegie Mellon Silicon Valley in September 2009, Steven worked for many years at HP Labs. As an Associate Director in the Technology Transfer Office at HP labs, Steven was responsible for developing technology incubations with the potential to be significant disruptive business opportunities. He most recently created a cloud-based scalable service for long tail and web-to-print publishing. He has held a variety of research management roles at HP Labs, and has led the development of technology for numerous businesses, including Print-On-Demand, novel computer input devices, enterprise workflow solutions, disk drives, and solutions for enterprise and commercial printing. Earlier in his career at HP, Steven developed and ran HP Labs’ University Research program, resulting in many successful research collaborations. He created HP Labs research science centers in China, Israel and in the US at Stanford, UC Berkeley and MIT. As manager of the Expert Systems department in HP Labs, Steven led the creation of an expert systems language and tool kit used within HP and at several leading universities. Expert system solutions developed for HP included photolithography error diagnosis, computer configuration tools, mass spectroscopy analysis, handwriting recognition, etc.

While at the Computer Science and Applied Mathematics Department of the Lawrence Berkeley Laboratory, U.C. Berkeley, Steven created tools for visualizing the distribution systems for energy resources in the U.S. and understanding the impact of disruptions to the US energy distribution grid. As a member of M.I.T.’s Artificial Intelligence Laboratory, Steven engaged in research on computational linguistics, reasoning and knowledge representation. At Carnegie Mellon Silicon Valley, Steven is focused on growing the context aware mobile computing work in the CyLab Mobility Research Center.