Aresh Dadlani is a Postdoctoral Researcher in the Department of Computing Science at the University of Alberta, working with Omid Ardakanian on learning-based data attacks and imputation models in cyber-physical systems. He has also collaborated with Deb Verhoeven from the Faculty of Arts on data-driven network analysis and control of gender equity in global screen industries. He is an Adjunct Professor in the Department of Electrical and Computer Engineering at Nazarbayev University (NU), Kazakhstan. His research interests are:

• Modeling and performance analysis of emerging communication networks.
• Projection and control of spreading processes over complex networks.
• Learning-based optimal resource allocation in cyber-physical systems.

Prior to joining UAlberta in February 2022, Aresh was an Assistant Professor at NU since September 2017, where he lead the Complex Networks and Systems Laboratory (CNSL). Aresh worked as a Researcher at the Center for Integrated Access Systems (CIAS) in South Korea from September 2015 to July 2017. He earned the Ph.D. in Information and Communications from the Gwangju Institute of Science and Technology (GIST), South Korea, under the supervision of Kiseon Kim and Khosrow Sohraby in August 2015. He received the B.Sc. and M.Sc. in Computer Engineering from the University of Tehran, Iran, in July 2007 and March 2010, respectively.

Recent Publications: (Full List)

• Exploring the Performance of Fluid Antenna System (FAS)-Aided B5G mmWave Networks, IEEE Global Communications Conference: Next-Generation Networking and Internet (GLOBECOM), December 2023.  

• On the Age of Status Updates in Unreliable Multi-Source M/G/1 Queueing Systems, IEEE Communications Letters, February 2023.  [Impact factor: 3.553]

• Age of Information in Multi-Source Updating Systems: An M/G/1 Vacation Queueing Model, IEEE International Conference on Communications (ICC), January 2023.