Biography and Interests

• Knowledge Representation, Reasoning, and Acquisition
• Visual Analytics
• System Evaluation
• Mixed Initiative and Learning-by-Demonstration Systems
• Process Monitoring, Simulation, and Diagnosis

Education

• Ph.D., Computer Science, Stanford University
  Thesis: Model-Matching and Individuation for Model-Based Diagnosis
• M.S., Computer Science, Stanford University
• M.S., Chemical Engineering, Massachusetts Institute of Technology
  Thesis: Effects of Metal Additives on Soot Burnout in Flames
• B.S., Chemical Engineering, Purdue University

Certifications

• Certificate in Bioinformatics, University of California Santa Cruz Extension
• Sun Certified Enterprise Architect for J2EE Technologies
• Sun Certified Web Component Developer for J2EE Technologies
• Sun Certified Programmer for the Java 2 Platform

Work Experience

Prior to joining SRI, Dr. Murdock developed monitoring and optimization solutions for coal-fired power plants at Praxis Engineers, Inc. and then General Electric after General Electric acquired Praxis Engineers in 2001. Her primary focus was CoaLogic®, an on-line monitoring, simulation, and advisory system directed at optimizing usage of coals with respect to emissions, derates, and operating costs. Previously, she developed design automation applications at Design Power, Inc. Design Power developed products that were integrated with AutoCAD and MicroStation CAD systems to assist engineers with plant design and pipe routing for chemical plants and co-generation facilities. Design Power was acquired by Bentley Systems (the maker of MicroStation) in 2007, and Design Power’s plant design and pipe routing product is now sold by Bentley as PlantWise. Prior to obtaining her degrees in computer science, Dr. Murdock was a chemical engineer doing product development for Raychem corporation, focusing on aircraft and marine specialty wire and cable products. She also did process design of petrochemical plants for Chevron Research Company.

Current Projects

Task Assistant Task Assistant is a flexible, web-based workflow application that enables an organization to move its operating procedures from manuals and human memories into living collaborative artifacts. Task Assistant is fully collaborative, allowing multiple users to simultaneous edit, build, or execute workflows.

Past Projects

	Cognitive Assistant that Learns and Organizes As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).
	HARP: Human Augmented Reasoning through Patterning This project developed: 1) cognitive aids that allow humans and machines to "think together" in real-time about complicated problems; 2) techniques to overcome the biases and limitations of the human cognitive system; 3) "cognitive amplifiers" that help teams of people rapidly and fully comprehend complicated and uncertain situations; and, 4) the means to rapidly and seamlessly cut across and complement existing hierarchical organizational structures.
	PRIME: A Predictive Model Development Environment The goal was to develop PRIME, an effects-based modelling tool, as a web application. PRIME supports rapid, collaborative development of forecasts of the effects of a planned set of DIME (diplomatic, informational, military, or economic) actions.
	TransPAL: Transitioning PAL Technologies The TransPAL project is transitioning a number of technologies developed on the DARPA PAL program for use by various members of the Armed Services.

Software

	Angler Angler is a tool that helps intelligence/policy professionals explore, understand, and overcome cognitive biases, and collaboratively expand their joint cognitive vision through use of divergent & convergent thinking techniques (such as brainstorming and clustering).
	PRIME The Probative Rapid Interactive Modeling Environment (PRIME) is a decision-support web application that provides modeling and reasoning capabilities intended to stretch the thinking of analysts and decision makers by producing a forecast of the plausible effects that could result from taking actions in a given situation. The plausibility of each forecast effect is explained by one or more structured arguments.
	SEAS: Structured Evidential Argumentation System SEAS is a tool to aid analysts in reasoning about potential opportunities/crises. It records analytic thinking in structured arguments, provides a collaborative environment in which multiple analysts can simultaneously contribute to arguments, and retains a coproate memory of the evolution of analytic thinking over time.

Publications

The following are in reverse chronological order of publication.
[View All]

• Gervasio, M. T. and Murdock, J. L. What Were You Thinking? Filling in Missing Dataflow Through Inference in Learning from Demonstration, in Proceedings of the 2009 International Conference on Intelligent User Interfaces, 2009.  [PDF, Details]

• Lowrance, J., Harrison, I., Rodriguez, A., Yeh, E., Boyce, T., Murdock, J., Thomere, J., and Murray, K. Template-Based Structured Argumentationin Knowledge Cartography: Software Tools and Mapping Techniques, Springer, October 2008.  [Details]

• Chan M., Ruspini E.H., Lowrance J., Yang J., Murdock J., Yeh E. Human-aided multi-sensor fusion, in Eighth International Conference on Information Fusion, FUSION 2005, 2005.  [Details]

• Murdock, J.L. and Hayes-Roth, B. Intelligent monitoring and control of semiconductor manufacturing equipment. IEEE Expert, vol. 6, no. 6, pp. 19-31, December 1991.  [Details]

• Murdock, J.L. and Hayes-Roth, B. Intelligent monitoring and diagnosis of semiconductor manufacturing, in Proceedings of the Fifth Annual SRC/DARPA CIM-IC Workshop, August 1990.  [Details]