George Atia is an associate professor at the UCF Department of Electrical and Computer Engineering, where he directs the Data Science and Machine Learning Lab. He served as a postdoctoral researcher at the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign from 2009 to 2012. Prior to that, he received his doctoral degree at the from Boston University where he was also a member of the Information Systems and Sciences Lab and the Center for Information and Systems Engineering. He received his master's degree and bachelor's degrees in electrical engineering from Alexandria University in 2003 and 2000, respectively.

• V. Tan and G. Atia, “Strong Impossibility Results for Sparse Signal Processing,” IEEE Signal Processing Letters, vol. 21, no. 3, pp. 260-264, March, 2014.


• Sirin Nitinawarat, George Atia and Venugopal Veeravalli, “Controlled Sensing for Multihypothesis Testing,” IEEE Transactions on Automatic Control, vol. 58, no. 10, pp. 2451- 2464, Oct. 2013.


• George Atia and Venkatesh Saligrama, “Boolean Compressed Sensing and Noisy Group Testing,” IEEE Transactions on Information Theory, vol. 58, no. 3, Mar. 2012.


• George Atia, Venugopal Veeravalli and Jason Fuemmeler, “Sensor Scheduling for Energy-Efficient Tracking in Sensor Networks,” IEEE Transactions on Signal Processing, vol. 59, no. 10, pp. 4923-4937, Oct. 2011.


• George Atia, Masoud Sharif and Venkatesh Saligrama, “On Optimal Outage in Relay Channels with General Fading Distributions,” IEEE Trans. Information theory, Special Issue on Models, Theory and Codes for Relaying and Cooperation in Communication Networks, vol. 53, no. 10, pp. 3786-3797, Oct. 2007.