Richard Fozzard

(updated 10/2/1999;
see latest version at http://fozzard.com/resume/edudetails.html)

Thesis work ("TheoNet") was a solar flare prediction system for NOAA's Space Environment Lab. It was a "neural network" that took SEL data as input and made 24 hour predictions of flare events. The program measured better at prediction than human forecasters, other statistical algorithms and a traditional expert system (THEO) [See "Forecasting Solar Flares: Experts and Artificial Systems", Bradshaw, G., Shaw, D., Organizational Behavior and Human Decision Processes 53, 135-157 (1992)].

Emphasis on neural modelling research, cognitive science, diagnostic expert systems, and human factors (user-interface). Member of Boulder Connectionist Research Group

Survey of Programming Languages (CS 324), Artificial Intelligence (CS 558), Discrete Structures (CS 220), Massively Parallel AI (CS 614), Logic Circuits/Lab (ECE 257,133), Numerical Analysis (CS 560), Automata Theory (CS 546), Microcomputer Architecture (ECE 222), Knowledge Based Expert Systems (CS 658), User Centered System Design (CS 659), Operating Systems (CS 557), Advanced Connectionist Simulation (CS 614)

Biochemistry (Medical School Biochem 200-201), Nervous System class/lab (Medical School Neurobio 200), Neurobiology Research and Seminar (BIO 253,351), Thought Processes - Topics in AI (CS 224), Computer as a Laboratory Instrument (EE 274).