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Tad Hogg, Research Fellow


Tad Hogg 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 20 patents, including methods to improve reliability of nano-electronic circuits with defects. He is an author of over 150 peer-reviewed technical publications in journals, conference proceedings and book chapters. These publications include computer-based studies of medical applications of microscopic robots, which demonstrate improved speed and accuracy compared to conventional medical technology. His research also includes designing distributed controls for reconfigurable robots and defect-tolerant architectures for molecular electronics.

Tad was the industry advisor for a summer research project on microscopic robots at the Institute for Pure and Applied Mathematics (IPAM) at UCLA. This project, involving four undergraduates and two mathematics post-docs, investigated interactions among robots moving in low-Reynolds number fluid flows as would occur in medical applications. 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 and other computational topics at the 2005 IEEE Swarm Intelligence Symposium and conferences of the Association for the Advancement of Artificial Intelligence (AAAI). He is a Fellow of the American Academy of Nanomedicine (2008), and 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, and models 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, a market-based distributed resource allocation system for networked computers.