Mahnoor Anjum

UNSW, Sydney.

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Level 4, Electrical Engineering Building (G17),

University of New South Wales,

Sydney, NSW 2033

Mahnoor Anjum (Student Member, IEEE) is pursuing her Ph.D. in Electrical Engineering at the University of New South Wales, Sydney, Australia. She received her BS and MS in Electrical Engineering from the National University of Sciences and Technology, Pakistan, in 2019 and 2022, respectively. She has also been a Visiting Researcher at Kyung Hee University, South Korea. Her research interests include integrated sensing and communication systems, massive MIMO, internet-of-things, and artificial intelligence for wireless systems.

She was awarded the IEEE GLOBECOM WKSHPS best paper award in 2023, and received the exemplary reviewer award for IEEE Wireless Communications Letters in 2024. She was also awarded the Development and Research Training Grant from UNSW, Sydney in 2025. She has served as a technical program committee member for flagship conferences such as IEEE VTC and IEEE ICC, and published in reputed conferences and journals, including IEEE Transactions on Green Communications and Networking, IEEE Internet of Things Magazine, IEEE Wireless Communications Letters, Elsevier Computer Communications, IEEE ICC, IEEE GLOBECOM, IEEE VTC, and IEEE SPAWC.

news

Sep 30, 2025 Paper “DRL-based User Fairness in BDRIS-assisted ELAA Systems” accepted in IEEE Wireless Communications Letters.
Authors: MA Khan, M Anjum, D Mishra, H Jung, TQ Duong.
Sep 09, 2025 Paper “DRL-based Max-Min Fairness in Fluid RIS-aided Fluid Antenna Systems” accepted for presentation at IEEE GLOBECOM 2025.
Authors: M Anjum, MA Khan, D Mishra, H Jung, A Seneviratne.
Aug 31, 2025 Appointed Lab Demonstrator for ELEC3104 Digital Signal Processing (Sep–Dec 2025), School of Electrical Engineering and Telecommunications, UNSW Sydney.
Jun 29, 2025 Paper titled “Green Transceiver Design and Antenna Selection for QoS-Aware Integrated Sensing and Communication Systems” accepted for publication in IEEE Transactions on Green Communications and Networking.
Jun 19, 2025 Paper titled “Energy-Efficient Near-Field Beamforming: A Review on Practical Channel Models” published in MDPI Energies.