Ejenta is a San Francisco based company applying artificial intelligence, agent technology and sensor technology to the development of intelligent personal assistants for daily living, healthcare and wellness. Ejenta's agent platform is based on exclusively licensed NASA technology and 20 years of research in human activity modeling, human-robot interaction, multi-agent systems and security. Ejenta is the exclusive distributor of NASA's Brahms agent language and development environment.

Nissan Advanced Technology Center Silicon Valley is Nissan's R&D center and Center of Excellence in AI, including the AI needed for autonomous cars, connected vehicles and services, and human-centered design for human-machine interaction.

Created and managed the Knowledge, Language & Interaction (KLI) area at PARC (formerly Xerox PARC) as a new area within the Intelligent Systems Laboratory focussing on agent-based workflow systems for healthcare. The KLI area specializes in research and development of intelligent agents for intelligent document interaction, knowledge extraction and natural language.Principal Investigator and designer of the Digital Nurse. The Digital Nurse is a personal agent for supporting nurses in their daily patient-care activities. The Digital Nurse is an integrated healthcare workflow environment that integrates with the Electronic Medical Record, Medication and Laboratory systems, and uses a Real-Time Location System to locate the nurse. The Digital Nurse is a distributed multi-agent system. Brahms and Java was used to design, simulate and implement the Digital Nurse system.

Co-Inventor and Principal Investigator of Brahms, a well-known Java-based multi-agent programming language and human behavior simulation environment in use at NASA's Mission Control for the International Space Station. Brahms is used widely by researchers and universities around the world.Principal investigator for the first distributed multi-agent system in NASA’s Mission Control Center for the International Space Station, responsible for acquiring project funding, the design and development, all interaction with NASA Johnson Space Center’s management for Mission Control. Responsible for managing the development and deployment of this workflow automation system (OCAMS) for automating the work for flight controllers in NASA’s Mission Control Center for the International Space Station. OCAMS has been running 24x7 since July of 2008 at NASA's Johnson Space Center, saving NASA millions of dollars in mission operations for the International Space Station. Co-Principal investigator, designer and project lead of the Mobile Agent Architecture (MAA). The MAA is a distributed intelligent personal agent platform for people and robots. From 2002-2006, managed a more than 20 person research effort. The MAA was used in simulations of human-robot exploration of Mars for the Mars Desert Research Station and DesertRATS programs in the Utah and Arizona desert. Personal agents were used to integrate human-robot interaction using natural language voice recognition, GPS navigation, health-monitoring sensors for both people and robots, as well as automating mission information flow via satellite.Principal investigator of the Individual Mobile Agent System (iMAS). iMAS is used as a personal assistant for astronauts, for health and life-support monitoring during Extra-Vehicular Activities in spacesuits. The astronaut uses natural language voice recognition to interact with his/her personal agent.

Sabbatical at the MMI group at Delft Institute of Technology (TU Delft). Developed and taught a graduate course “Agent-based Modeling and Simulation of Organizations” for two semesters, at TU Delft in The Netherlands and remotely from the CMU Silicon Valley campus in Mountain View, CA.

Taught graduate course “Agent-based Modeling and Simulation of Organizations.”

Member of the Expert Systems lab and Work Systems Design Group. Developed the first C++ expert systems for telephone trouble diagnosis, testing POTS lines every night in the entire NYNEX region. Co-Inventor and developer of the Compendium hyper-text multi-user representation and tagging system for modeling conversations. Compendium is an Open Source software used by thousands of people around the world.

Developed an expert system for expediting chip manufacturing jobs (Hotlist Analysis) for production control, using DB2 and IBM CommonLisp.

Developed an expert system for Do-It-Yourself advice for the Hema, a large department store in The Netherlands. The system received an award for best expert system in The Netherlands in 1989. Taught classes in expert systems technology and knowledge acquisition.