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Hina Tabassum

Associate Professor, P.Eng

Department:

Electrical Engineering & Computer Science

Bio

Dr. Hina Tabassum (Senior Member, IEEE) received the Ph.D. degree from the King Abdullah University of Science and Technology (KAUST). She is currently an Associate Professor with the Lassonde School of Engineering, York University, Canada, where she joined as an Assistant Professor, in 2018. She is also appointed as the York Research Chair of 5G/6G-enabled mobility and sensing applications in 2023, for five years. Prior to that, she was a postdoctoral research associate at University of Manitoba, Canada. She has published over 100 refereed papers in well-reputed IEEE journals, magazines, and conferences. She received the Lassonde Innovation Early-Career Researcher Award in 2023 and the N2Women: Rising Stars in Computer Networking and Communications in 2022. She was listed in the Stanford's list of the World’s Top Two-Percent Researchers in 2021, 2022, 2023, and 2024. She has been recognized as an Exemplary Editor by the IEEE Communications Letters (2020), IEEE Open Journal of the Communications Society (IEEE OJCOMS) (2023), and IEEE Transactions on Green Communications and Networking (2023). She was recognized as an Exemplary Reviewer (Top 2% of all reviewers) by IEEE Transactions on Communications in 2015, 2016, 2017, 2019, and 2020. She is the Founding Chair of the Special Interest Group on THz communications in IEEE Communications Society (ComSoc)-Radio Communications Committee (RCC). She served as an Associate Editor for IEEE Communications Letters (2019–2023), IEEE OJCOMS (2019–2023), and IEEE Transactions on Green Communications and Networking (2020–2023). Currently, she is also serving as an Area Editor for IEEE OJCOMS and an Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Communications Surveys and Tutorials.

Research Interests

  • 5G/B5G wireless communications
  • Massive MIMO
  • Mm-wave, Visible light Communication, Free Space Optics
  • Deep Learning
  • Multi-band Wireless Communications
  • Ultra-reliable, low latency communication

Selected Publications

S. Aboagye and H. Tabassum, "THz Network Placement and Mobility-Aware Resource Allocation for Indoor Hybrid THz/VLC Wireless Networks," IEEE Transactions on Communications (IEEE TCOM), 2024

B. Barahimi, H. Tabassum, M. Omer, O. Waqar"Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing ," IEEE Open Journal of Communications Society (IEEE  OJCOMS), 2024

M. A. Saeidi, H. Tabassum, and M. Alizadeh, "Molecular Absorption-Aware User Assignment, Spectrum, and Power Allocation in Dense THz Networks with Multi-Connectivity," IEEE Transactions on Wireless Communications (IEEE TWC), 2024

M. Alizadeh, X. Mootoo, O. Waqar, and H. Tabassum, "QoS-Aware Deep Unsupervised Learning for STAR-RIS Assisted Networks: A Novel Differentiable Projection Framework," in IEEE Wireless Communications Letters (IEEE WCL), 2024 

 A. Abouelmaati, S. Aboagye, H. Tabassum, "Joint Spectrum Partitioning and Power Allocation for Energy Efficient Semi-Integrated Sensing and Communications," IEEE Communications Letters (IEEE COMML),  to appear, 2024 

 A. A. HabobH. Tabassum, O. Waqar, "Non-orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach," IEEE Transactions on Mobile Computing (IEEE TMC), to appear, 2024. 

S. Aboagye, M.A. Saeidi, H. Tabassum, Y. tayyar, E. Hossain, H.C. Yang, M.-S. Alouini, "Multi-band Wireless Communication Networks: Fundamentals, Challenges, and Resource Allocation," IEEE Transactions on Communications (IEEE TCOM), to appear, 2024. [Invited Paper]

J. Jalali, A. Khalili, H. Tabassum, W. Saad, "Energy-Efficient THz NOMA for SWIPT-aided Miniature UAV Networks,IEEE Communications Letters (IEEE COMML), to appear, 2024. 

M.A. Saeidi, H. Tabassum, and M.-S. Alouini, "Multi-band Wireless Networks: Architectures, Challenges, and Comparative Analysis," IEEE Communications Magazine (IEEE COMMAG)vol. 62, no. 1, pp. 80-86, January 2024. [arXiv]

MMoradian, A. Dadlani,  A. Khonsari, and H. Tabassum, "Age-Aware Dynamic Frame Slotted ALOHA for Machine-Type Communications ," IEEE Transactions on Communications (IEEE TCOM), to appear, 2024. 

SAsaadH. Tabassum, C. Ouyang, and PWang, "Joint Antenna Selection and Beamforming for Massive MIMO-enabled Over-the-Air Federated Learning ," IEEE Transactions on Wireless Communications (IEEE TWC), to appear, 2024.