Georgios Theocharous
Georgios Theocharous received his Ph.D. degree in Computer Science in 2002 from Michigan State University. From 2002 to 2004 he was a post-doctoral associate at the Computer Science and Artificial Intelligence Lab at M.I.T., and in October 2004 he joined Intel as a research scientist. His research interests include computational models of learning and planning under uncertainty and their applications to the real world. Specific models include reinforcement learning, completely and partially observable Markov decision processes (POMDPs), semi-Markov decision processes, hierarchical POMDPs, and dynamic Bayesian nets. His e-mail is georgios.theocharous at intel.com.

Shie Mannor
Shie Mannor received a Ph.D. degree in Electrical Engineering from the Technion-Israel Institute of Technology in 2002. From 2002 to 2004, he was a postdoctoral associate at the Laboratory for Information and Decision Systems at M.I.T. Since 2004 he has been an Assistant Professor of Electrical and Computer Engineering at McGill University. He was a Fulbright scholar in 2002, and he is currently a Canada Research Chair in Machine Learning. His research interests include machine learning, planning and control under uncertainty, multi-agent systems, and he has a particular interest in applications of machine learning in networks and information technology. His e-mail is shie.mannor at mcgill.ca.

Nilesh N. Shah
Nilesh N. Shah is the principal investigator of the User Activity-Based Adaptive Power Management research project. His research is positioned at the intersection of mobile platforms, power management, machine learning, and activity inference. Shah has held several positions within Intel. Most recently, he managed an Advanced Platform Development team within the Mobility Group. He played an expatriate role as manager, helping to build the team and provide the capability for Intel's Communications Group in Shanghai, China, towards the development of network processors, WLAN/WiMAX chipsets, Ethernet, and optical switches. He joined Intel in 1998 as part of the Chipset Development group after graduating from Purdue University with a Master's degree in Electrical Engineering. His e-mail is nilesh.n.shah at intel.com.

Prashant Gandhi
Prashant Gandhi received his M.S. degree in Electrical Engineering in 2005 from Santa Clara University. He joined Intel as a software integrator in February 2006. His interests include mobile power management and power optimized software. Specifically he is interested in investigating the tradeoffs between performance and power for multi-threaded applications optimized for multi-core processors. His e-mail is prashant.gandhi at intel.com.

Branislav Kveton
Branislav Kveton is a Ph.D. student in the Intelligent Systems Program at the University of Pittsburgh. After defending his dissertation in the Fall of 2006, he will join the Corporate Technology Group (CTG) at Intel Corporation as a full-time employee. His major interests are solving large-scale stochastic decision problems and real-world anomaly detection. His long-term goal is to keep bridging the gap between theory and the complexity of real-world problems. His e-mail is bransislav.kveton at intel.com.

Sajid Mahmood Siddiqi
Sajid Mahmood Siddiqi is a Ph.D. student in Robotics in the School of Computer Science in Carnegie Mellon University, where he received his M.S. degree in Robotics in 2005. His Ph.D advisors are Geoffrey J. Gordon and Andrew W. Moore. He received a B.S. degree in Computer Science and a B.A. degree in Mathematics and Economics from the University of Southern California in 2003. His research focuses on probabilistic and statistical methods for modeling uncertainty, particularly in time series data. In the summer of 2006, Sajid was an intern at Intel Research working with the Adaptive Power Management team, where his mentor was Georgios Theocharous and his manager was Nilesh Shah. His e-mail is siddiqi at cs.cmu.edu.

Chih-Han Yu
Chih-Han Yu has been a Ph.D. student in Computer Science at Harvard University since 2005. From 2003 to 2005, he worked on his M.S. degree and conducted research in the Artificial Intelligence Lab of Stanford University. Prior to that, he received his B.S. degree from the National Taiwan University, Taipei, Taiwan. In the summer of 2006, he was a research intern in Intel Corporation. His research interests primarily lie in machine learning and artificial intelligence. In particular, he is interested in applying reinforcement learning and graphical model techniques to operating systems, distributed systems, and robotics. His e-mail is chyu at fas.harvard.edu.