Office: 3-46, Assiniboia Hall
Faculty of Arts
Edmonton, AB, Canada T6G 2E7
E-mail: aresh [AT] ualberta.ca

 

NEWS

Feb'22
Joined UoA.

Feb'21
Elevated to IEEE Senior Member.

Jan'20
Received FDRP Grant.

Aresh Dadlani is a Postdoctoral Researcher working with Deb Verhoeven in the Faculty of Arts - Interdisciplinary Studies, University of Alberta (UoA). His on-going projects revolve around the following main areas:

  • Data-driven analysis of gender equity in global screen industries.
  • Projection and control of gender biases in large-scale collaborative networks.
  • Social and communication network analysis and resource optimization.

Prior to joining UoA in February 2021, Aresh was an Assistant Professor in the Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences (SEDS) at Nazarbayev University (NU) since September 2017. At NU, he lead the Complex Networks and Systems Laboratory (CNSL), where his research team primarily focused on adopting state-of-the-art analytical tools to characterize and control the dynamics of large-scale societal and wired/wireless communication networks. Aresh worked as a Post-doctoral Fellow 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)


  • 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.  

  • Rumor Stance Classification in Online Social Networks: The State-of-the-Art, Prospects, and Future Challenges, IEEE Access, October 2022.  [Impact factor: 3.476]