Anastassia Gharib
Ph.D. Candidate
| Degrees: | B.Eng, MASc, Ph.D.-in progress |
| Email: | AnastassiaGharib@cmail.carleton.ca |
Biography
Anastassia Gharib received the M.A.Sc. degree in Electrical and Computer Engineering from Carleton University, Ottawa, Canada in 2018. Her master’s thesis was nominated for the University Medal. She is currently working towards her Ph.D. degree in Electrical and Computer Engineering, is a research assistant at the Sensor Systems and Internet of Things (IoT) Laboratory, and a contract instructor at Carleton University. She is a 2021 IEEE Women in Engineering (WIE) Voting Committee Member. She is a Chair of IEEE WIE Regional Coordinators Subcommittee, and a Member of IEEE WIE International Leadership Summits (ILS) and Awards & Recognitions Subcommittees. She is a Past Chair of IEEE WIE Ottawa Section. She is a reviewer for multiple IEEE journals and magazines. Previously, she has been a Chair of IEEE WIE Ottawa, which under her leadership received IEEE WIE Affinity Group of the Year Award, IEEE WIE Canada Group of the Year Award for Large Sections, and IEEE Ottawa Outstanding Affinity Group Award for the first time in the history, all in 2020. She has further been a Secretary and a Vice Chair of IEEE Young Professionals (YP) and WIE Ottawa in 2018 and 2019, respectively. Anastassia is the winner of Data Day 5.0 and the Teaching Excellence Award at Carleton University.
Research Interests
Clustering algorithms, cognitive radio, distributed learning, information-centric networking, internet of things, resource management, security-by-design, and wireless sensor networks.
Publications
- A. Gharib and M. Ibnkahla, “Security Aware Cluster Head Selection with Coverage and Energy Optimization in WSNs for IoT,” 2021 IEEE International Conference on Communications (ICC), 2021, pp. 1-6.
- A. Gharib, W. Ejaz and M. Ibnkahla, “Distributed Spectrum Sensing for IoT Networks: Architecture, Challenges, and Learning,” in IEEE Internet of Things Magazine, 2021.
- A. Gharib, W. Ejaz and M. Ibnkahla, “Scalable Learning-Based Heterogeneous Multi-Band Multi-User Cooperative Spectrum Sensing for Distributed IoT Systems,” in IEEE Open Journal of the Communications Society, vol. 1, pp. 1066-1083, 2020.
- A. Gharib, W. Ejaz and M. Ibnkahla, “Enhanced Multiband Multiuser Cooperative Spectrum Sensing for Distributed CRNs,” in IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 1, pp. 256-270, 2020.
- A. Gharib, W. Ejaz and M. Ibnkahla, “Distributed Learning-Based Multi-Band Multi-User Cooperative Sensing in Cognitive Radio Networks,” 2018 IEEE Global Communications Conference (GLOBECOM), 2018, pp. 1-6.
- Z. Bouida, A. Gharib and M. Ibnkahla, “Secondary system’s scheduling using precoding-aided space shift keying for overlay cognitive radio,” 2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018, pp. 1-5.