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PEOPLE:

 

Julien Freudiger
  • a security researcher, helping individuals enjoy the better side of communication technology using a combination of economics and security
  • currently focuses on secure and private big data analytics and security aspects of ubiquitous communications
  • Ph.D. in Computer and Communication Systems and a M.Eng. in Communication Systems, both from Ecole Polytechnique Federale de Lausanne

 

Christian Fritz
  • applies AI planning & KR to real-world problems
  • semantic workflows, cognitive robotics, ubicomp
  • specializes highly dynamic, open-world environments
  • Ph.D., University of Toronto

 

 

Daniele Fusi
  • designs, builds, operates, and maintains experimental systems
  • extensive experience with analog and digital electronics
  • M.S. and B.S. in Electronic Engineering from the University of Florence (Italy)

 

David Garcia
  • software developer
  • led the development of the Diagnostic Competition Framework at NASA
  • software used successfully in PHM Society's International Diagnostic Competition
  • B.S., Mathematics, Santa Clara University; working on M.S., Computer Science, Stanford University

 

 

 

J.J. Garcia-Luna-Aceves
  • ad hoc networking and wireless networking
  • General Chair or Program Chair of multiple conferences
  • more than 400 papers and 35 patents
  • IEEE and ACM Fellow; IEEE Computer Society Technical Achievement Award 2011

 

Sean Garner
  • manages Energy Systems group at PARC
  • experimential physics
  • experience in optics, electronics, micromechanical systems, microfabrication, vacuum, cryogenics
  • Ph.D., Physics, Cornell University

 

 

James Glasnapp
  • evaluation, planning, behavioral theory, modeling, requirement analysis, competency transfer, advertising, and public health
  • ethnography for healthcare, distributed workplaces, human-display interaction
  • Ph.D., University of California, Berkeley

 

 

David Gunning
  • directs artificial intelligence and predictive analytics focused on the enterprise
  • anomaly and fraud detection, contextual intelligence, recommendation systems, and tools for smart organizations 
  • developing rich, predictive user models
  • M.S. in Computer Science from Stanford University; M.S. in Cognitive Psychology from the University of Dayton; B.S. in Psychology from Otterbein College

 

John Hanley
  • modeling complex business processes for decision support system
  • relevance-based document retrieval from personal library
  • usability of large software systems
  • M.S., Software Engineering, Carnegie Mellon University

 

Ben Hsieh

 

  • established infrastructure and protocols for several biomedical research projects, including DNA microarray printing, protein purification, and immunofluorescent detection of circulating rare cells (cancer and fetal)
  • clean water
  • broad expertise in biochemical engineering and life sciences

 

 

Eric Huang
  • heuristic search, packing, constraint satisfaction, planning, scheduling
  • Ph.D., Computer Science, UCLA
  • former Micro Fellow and EGSA Angels Fellow

 

 

 

Nozomi Ikeya
  • capture and practical management of knowledge -- how knowledge is shared, acquired, transferred, and used as part of activities
  • ethnographic studies of work practice in various professional work settings, including emergency medical practice and system engineers' project management
  • Ph.D., Sociology, University of Manchester

 

Ellen Isaacs
  • user experience designer, studies the use of technology in real-world contexts, specializes in using highly iterative design techniques
  • tools that support lightweight communication and collaboration, mobile systems, and use of multimedia
  • co-authored "Designing from Both Sides of the Screen"
  • Ph.D., cognitive psychology, Stanford University

 

Peter Jarvis

 

 

  • produces software for various embedded reasoning systems projects
  • was computer scientist at NASA Ames Reserach Center & SRI International
  • developed intelligent software leveraging automated planning and scheduling for various applications
  • Ph.D., Artificial Intelligence

 

 

 

Noble Johnson
  • guided team that has developed laser diodes and light emitting diodes in the visible and UV spectral regions and made major contributions to fundamental understanding of the material and devices
  • over 330 research papers in technical journals and conference proceedings & more than 11 patents
  • Fellow of the American Physical Society and IEEE
  • Ph.D., Princeton University

 

Walt Johnson
Walt Johnson
Vice President, Intelligent Systems Laboratory

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  • directs PARC's ISL research organization, which focuses on social software, cyberphysical systems to control complex processes, agent-based modeling and simulation of complex work environments
  • as a scientist, specialized in intelligent interfaces for mobile and ubiquitous computing applications
  • worked at Silicon Graphics; Uppercase Inc. (acquired by Microsoft); 12 Entrepreneuring; Skygrid
  • Ph.D., Cognitive Psychology, University of Pittsburgh

 

 

 

Peter Kiesel
  • nitride based light emitters, ultra sensitive detection systems
  • flow cytometry for biomedical applications
  • over 60 issued and pending patents and 100 publications

 

Matthew Klenk
  • qualitative reasoning, machine learning, planning, intelligent agents, spatial reasoning
  • worked in U.S. Naval Research Laboratory
  • Ph.D., Northwestern University EECS

 

Doron Kletter
  • Instrumental the development of Xerox's Mixed Raster Content and Vista Color initiatives.  
  • Applications of document image indexing.
  • M.Sc and B.Sc degrees from Tel-Aviv University. Ph.D. from Yale in Electrical Engineering.

 

Ashutosh Kole
  • mechanical engineering and product design for cleantech and printing technologies 
  • primary role in patent for Hydrodynamic Separation (HDS)
  • manufacturing technologies for the HDS device
  • M.S. in Mechanical Engineering from The University of Texas at Arlington and his B.E. in Mechanical Engineering and HSC in Science from Shivaji University. 

 

Sricharan Kumar
  • focuses on statistical machine learning and data mining methods for anomaly detection and pattern recognition in multivariate, temporal, and relational data
  • research interests include statistics, machine learning, data mining, and signal processing with specific focus on ensemble methods and large sample estimation theory
  • Ph.D. in Electrical Engineering, Systems in 2012, M.A. in Statistics in 2011, and M.S. in Electrical Engineering: Systems in 2009, all from the University of Michigan, Ann Arbor. He also received his B.Tech degree in Electrical Engineering from IIT Madras in 2006.

 

Mike Kuniavsky
  • user experience designer, researcher, and author 
  • with more than 20 years experience, designs products, business processes, and services at the leading edge of technological change
  • Co-founder of ThingM and Adaptive Path
  • Dual major B.S./B.A. in Computer Science and Film/Video Studies from the University of Michigan

 

Tolga Kurtoglu
  • design and development of complex systems
  • engineering design automation and optimization
  • prognostic and health management, model-based systems, automated reasoning, knowledge and information management, risk and reliability-based design
  • previously at NASA Ames Research Center and Dell Corporation
  • PhD, UT Austin, MS, Carnegie Mellon University, Mechanical Engineering