Tad Hogg, Research Fellow
Tad Hogg is an IMM Research Fellow, and was a Member of the Research Staff at Hewlett-Packard Laboratories and the Xerox Palo Alto Research Center (PARC). Tad holds a PhD from Stanford and BS from Caltech, both in physics.
Tad is an inventor on more than 20 patents, including methods for communicating among microscopic robots and improving the reliability of nano-electronic circuits with defects. He is an author of over 150 peer-reviewed technical publications. These include theoretical studies of medical applications of microscopic robots, which quantify how they could enhance medical technology. Other publications discuss distributed controls for shape-changing robots and defect-tolerant architectures for molecular electronics.
Tad helped organize Foresight Institute workshops on applications of atomically precise manufacturing to medicine, energy and artificial intelligence. He was the industry advisor for a summer research project on microscopic robots at the Institute for Pure and Applied Mathematics (IPAM) at UCLA. He was a visiting faculty member at the multi-agent robotics group of the University of Girona, Spain, and at the Santa Fe Institute summer school on complex systems. Tad presented tutorials on distributed control at an IEEE Swarm Intelligence Symposium, and on combinatorial search and quantum computing at AAAI conferences. He has served on editorial boards of the Journal of Artificial Intelligence Research, the International Journal of Modern Physics, and Autonomous Agents and Multiagent Systems.
The behavior of multi-agent systems, experimental evaluation of economic mechanisms including the use of quantum information processing, heuristic search algorithms for quantum computers, and the effectiveness of peer-production web sites and their social networks are Tad’s other research interests. One example of this work was applying economic principles to distributed computation, in which Tad helped develop and test Spawn, an early market-based distributed resource allocation system for networked computers.
Tad is a Fellow of the American Association for the Advancement of Science (AAAS), a Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI), and a Member of the Tau Beta Pi Engineering Honor Society.