John Tadrous



John Tadrous is an associate 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 2016 and 2021 he served as an assistant professor of electrical and computer engineering at Gonzaga University. From May 2014 to August 2016 he was a post-doctoral research associate with the ECE Department at Rice University. In 2020, Dr. Tadrous was elevated to a Senior Member of the IEEE. In addition, he received the Gonzaga University's Faculty Award for Professional Contributions.

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 Mobihoc and WiOpt. He also served as a peer reviewer for a multitude of scientific conferences and journals.

  • April 2022: Accepted paper: "Fresh Caching of Dynamic Content over the Wireless Edge", IEEE/ACM Transactions on Networking, accepted October 2021.
  • October 2021: Accepted paper: Joint Content Valuations and Proactive Caching for Content Distribution Networks in IEEE CCNC 2022
  • October 2021: Accepted paper: Single vs Distributed Edge Caching For Dynamic Content, in ACM/IEEE Transactions on Networking.
  • September 2021: Elevated to Associate Professor rank.
  • July 2021: Accepted paper: Optimal Load-Splitting and Distributed-Caching for Dynamic Content, in IEEE WiOpt 2021
  • December 2020: Accepted paper: Fresh Caching for Dynamic Content, in IEEE INFOCOM 2021 (acceptance rate 19.9%).
  • November 2020: Accepted paper: Delay Gain Analysis of  Wireless Multicasting for Content Distribution, in IEEE/ACM Transactions on Networking.
  • July 2020: Elevated to IEEE Senior Member
  • May 2020: Received the 2019-2020 faculty award for Professional Contributions for tenure-track faculty.