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PROFILE:

 

Matthew Klenk

Matt Klenk's research interests revolve around expanding computer systems' capabilities. From an artificial intelligence perspective, he considers broad, knowledge-intensive tasks as a baseline for intelligent behavior including problem-solving and integrated planning and execution. The long-term vision of this work is to transition computer systems from mere tools to intelligent collaborators. Towards this goal, Matt's research includes contributions to qualitative reasoning, machine learning, planning, intelligent agents, and spatial reasoning.

Prior to joining PARC, Matt was a National Academies Research Associate at the U.S. Naval Research Laboratory in Washington, D.C. Working in the Intelligent Decision Aids group there, Matt developed a new goal reasoning framework where intelligent agents could monitor their environments for potential threats and opportunities during plan execution. Matt also contributed to government research programs at DARPA and the Office of Naval Research.

Matt is a member of the AAAI and the Cognitive Science Society, and serves on the program committees of numerous conferences and workshops. He earned his Ph.D. and M.S. from Northwestern University's Department of Electrical Engineering and Computer Science, where he focused on Cognitive Systems and the intersection of analogical reasoning, qualitative reasoning, and intelligent architectures.

When not in front of a computer, Matt is actively interested in hiking, biking, cooking, basketball, film, and music.

 

PARC publications

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2014

Sol-gel solution-deposited InGaZnO thin film transistors

Applied Materials and Interfaces (American Chemical Society)

13 January 2014

2012

Towards a cognitive system that can recognize spatial regions based on context

26th AAAI Conference on Artificial Intelligence

22 July 2012

Using anchor points to define and transfer spatial regions based on context

26th International Workshop on Qualitative Reasoning

16 July 2012

Placing qualitative reasoning in the design process

26th International Workshop on Qualitative Reasoning

16 July 2012