Joel B. Predd

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Pittsburgh Office


Ph.D. in electrical engineering, Princeton University; B.S. in electrical engineering, Purdue University

Media Resources

This researcher is available for interviews.

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Joel B. Predd is an engineer and policy analyst at the RAND Corporation, where he has led or conducted research for all the U.S. Military Services, the Office of the Secretary of Defense (OSD), U.S. Department Homeland Security, and Australian Department of Defence. The substantive breadth of Predd's research includes topics of force development and acquisition in the domains of national and homeland security. He joined RAND in 2006 and spent fiscal year 2013 working in OSD (Policy) as a force development analyst, supporting Policy leadership in activities related to the 2014 Quadrennial Defense Review and the Strategic Choices Management Review. Prior to joining RAND, Predd earned a Ph.D. in electrical engineering from Princeton University, a B.S. in electrical engineering from Purdue University, and was a visiting researcher at National ICT Australia.

Recent Projects

  • The Benefits, Costs, And Risks of Transferring Patriot From The Army To MDA
  • Implications of Open Architecture for the Aegis System
  • Toward a coalition contingency mission network : building on the Afghan mission network
  • Resource Allocation, Pattern Analysis, and Systematic Randomness: Assessing Possibilities for Border Security
  • Science and Technology for Decisive Squads

Selected Publications

J. B. Predd, D. Osherson, S. R. Kulkarni and H. V. Poor, "A Collaborative Training Algorithm for Distributed Learning," IEEE Transactions on Information Theory, 55(4), 2009

J. B. Predd, R. Seiringer, E. J. Lieb, D. Osherson, H. V. Poor, and S. R. Kulkarni, "Probabilistic Coherence and Proper Scoring Rules," IEEE Transactions on Information Theory, 55(10), 2009

J. B. Predd, D. Osherson, S. R. Kulkarni and H. V. Poor, "Aggregating Forecasts of Chance from Incoherent and Abstaining Experts," Decision Analysis, 5(4), 2008

J. B. Predd, S. L. Pfleeger, J. Hunker and C. Buford, "Insiders Behaving Badly," IEEE Security and Privacy, 6(4), 2008

J. B. Predd, D. Osherson, S. R. Kulkarni and H. V. Poor, "Consistency in Models of Distributed Learning Under Communication Constraints," IEEE Transactions on Information Theory, 52(1), 2006

J. B. Predd, D. Osherson, S. R. Kulkarni and H. V. Poor, "Distributed Learning for Decentralized Inference in Wireless Sensor Networks," IEEE Signal Processing Magazine, Special Issue on Distributed Signal Processing in Wireless Sensor Networks, 2006