John Tadrous



John Tadrous is an assistant professor of electrical and computer engineering at Gonzaga University. He received his Ph.D. degree in electrical engineering from the ECE Department at The Ohio State University in 2014, MSc degree in wireless communications from the Center of Information Technology at Nile University in 2010, and BSc degree from the EE Department at Cairo University in 2008. Between 2014 and 2016 he was a post-doctoral research associate with the ECE Department at Rice University.
His research interests include Modeling and analysis of human behavior's impact on data networks in various timescales from seconds to hours. This research spans interdisciplinary fields of human behavioral science, economics, machine learning, and big data analytics. He also works on the design of optimal resource allocation strategies that harness developed human behavioral models for maximal network welfare. This research utilizes information theory, network optimization and control, and smart-data pricing. Dr. Tadrous' served a technical program committee member for several conferences such as Mohihoc and WiOpt. He also served as a peer reviewer for a multitude of scientific conferences and journals.

  • March 2017: our paper: Rana Ahmed, Ahmed Mohamed, John Tadrous, Mohammed Nafie, Tamer ElBatt, and Fade Digham, "Dynamic Proactive Caching in Relay Networks," has been accepted for publications in the CCDWN  workshop of IEEE's 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, (WiOpt 2017), France, May 2017.
  • September 2016: our article: Xu Du, John Tadrous, and Ashutosh Sabharwal, "Multiuser MIMO Sequential Beamforming with Full-duplex Training", has been accepted for publication in IEEE Transactions on Wireless Communications.
  • September 2016: our article: Dibakar Das, John Tadrous, Atilla Eryilmaz, and Alhussein Abouzeid, "Proactive Resource Allocation in Two-Tier Cellular Networks," has been submitted to IEEE/ACM Transactions on Networking.
  • September 2016: our paper: Rana Ahmed, John Tadrous, Amr El-Keyi, and Mohammed Nafie, "Proactive cognitive networks with predictable demand," has been presented at the 2016 IEEE 84th Vehicular Technology Conference.