Peter Bock Email & Phone Number

Since retiring from academia in 2011, Professor Bock has been employed by the Seabourn and Crystal cruise lines to present series of lectures about science and engineering during their cruises. Below is a list of the topics he presents. Each talk is about 50 minutes long, except as noted. These lectures are available for other venues and either general or technical audiences. They are accompanied by professional PowerPoint presentations, videos, and demonstrations. 1. The Evolution of Human Intelligence: From the Big Bang to the Big Brain 2. The Acquisition of Human Knowledge: From Wheat to Wheaties 3. The History of Science and Technology: Convergence and Emergence (3 parts) 4. How the Brain and Mind Work: Reasoning and Learning, Emotion and Prediction 5. A Brain Full of Neurons: Unseen Stars in the Galaxy of the Mind 6. The Human Vision System: What You See Is Not Necessarily What You Get 7. Consciousness versus Reality: Your Mind has a Mind of its Own 8. Artificial General Intelligence: The Construction of Artefactum Sapiens Mada 9. Creative Artificial Synthesis: Decorating the Cave Walls of the Machine 10. The Future of Science and Technology: Benefit versus Risk 11. Fostering Technological Innovation: An Eclectic Approach to Undergrad EducationAs an example of Professor Bock's speaking style, you may view his recent TED Talk at http://www.youtube.com/watch?v=CpNfy7AUPl4

Washington, District Of Columbia, United States

The George Washington University

As a full-time member of the faculty of the Department of Electrical Engineering and Computer Science from 1970 to 2011 (Department of Computer Science since 1999), responsible for designing and teaching undergraduate and graduate computer science courses, including artificial intelligence, adaptive learning systems, cognitive science, robotics, simulation, algorithmic methods, high-level language design, and assembly language programming; serving on various academic and administrative committees; and directing independent research projects, Masters theses, and Doctoral dissertations. Primarily responsible for the development of the graduate degree curriculum in Machine Intelligence and Cognition. Member of University Cybernetics Research Committee since 1988.Principal Investigator for a research grant from the Research Institute for Applied Knowledge Processing (FAW) (1990 - 1997) ($500,000) to design, build, and extend the ALISA image and signal processing engine. Principal Investigator for a research grant from Lockheed-Martin (1997 - 1999) ($135,000) to apply the ALISA image processing engine for fault-prediction in the telemetry data from the NASA Hubble Space Telescope. Principal Investigator for a long-term research project with Robert Bosch GmbH (1997 - 2003) ($240,000) in image and signal processing, categorical clustering for natural language analysis, and consultation for experiment methodology. Funded by the Defense Threat Analysis Center (DTRA) (2003-2006) ($610,000) to use ALISA to classify mixtures of radioisotopes (e.g., for dirty-bomb detection), and to detect objects-of-interest in x-ray images of luggage. Again funded by DTRA (2006-2008) ($500,000) to build a rapid-prototyping tool for scientists and engineers without training in computer science or statistical learning to evaluate the feasibility of solving specific problems in their application domains.

Education record

Bachelor'S Degree

Physics and Mathematics