Dana Haj Hussein
Ph.D. Student
| Degrees: | BSc, M.Sc in Electrical Engineering |
| Email: | dana.hajhussein@carleton.ca |
Biography
Dana Haj Hussein received the B.S. and M.S. Degrees in electrical engineering from the American University of Sharjah, Sharjah, United Arab Emirates, in 2012 and 2015, respectively. She is currently working towards her Ph.D. degree in Electrical and Computer Engineering and is a research assistant at the Sensor Systems and Internet of Things (IoT) Laboratory at Carleton University. Her Ph.D. thesis studies intelligent network slicing mechanisms for IoT systems. Prior to her Ph.D. studies, Dana worked as a telecommunication engineer in the Emirates Telecommunication Group Company (ETISALAT), UAE, from 2015 to 2019. During her work, she was recognized with an excellence award for her outstanding technical efforts in the mobile core operations department.
Research Interests
5G systems and beyond, IoT, Network slicing, Machine learning/Artificial intelligence for networks and communications, Network automation.
Publications
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D. Haj Hussein and M. Ibnkahla, “An IoT Traffic Modeling Framework and its Application to Autonomous Edge Scaling,” 2022 IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, pp. 1-6, December 2022.
- D. H. Hussein, R. Anbarasu, A. Matrawy and M. Ibnkahla, “Towards a Decentralized Access Control System for IoT Platforms based on Blockchain Technology,” 2020 International Symposium on Networks, Computers and Communications (ISNCC), 2020.
- M. Hassan, D. Hussein, T. Shanableh, “A priority and path diversity-based approach for media streaming over multi-hop and unreliable networks,” International Journal of Wireless and Mobile Computing (IJWMC), 2020.
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D. Hussein, M. Hassan and T. Landolsi, “Performance Evaluation of a Path Diversity-Based Video Streaming Approach over Best Effort Networks,” 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014, pp. 536-541