Personal profile
Biography
Dr Adnan Ahmad Cheema (FHEA, SMIEEE, SMURSI) obtained BSc in Computer Engineering from the COMSATS University Islamabad, Pakistan and MSc in Signal Processing for Communication from the King’s College London, UK. He has a PhD degree in Electronics Engineering (major in wireless communications) from Durham University, UK, funded by Durham University and HMGCC, UK. His PhD thesis was relating to the development of channel sounder for use cases in cognitive radio and radio propagation channel in sub-6 GHz band.
From 2015 to 2017, he worked at Durham University, UK as a postdoctoral research associate on a project funded by OFCOM, UK, dealing with the 5G radio propagation channel measurements and modelling (sub-6 GHz and 24-90 GHz). His work has been part of various ITU recommendations like of 1238 and 1411. In 2017, he joined Ulster University, UK, as a Lecturer (Assistant Professor) in Electronics Engineering and is currently leading the Advanced Wireless Technologies Lab (AWTL) at Ulster. He has a research grant portfolio of over £4.7 million funded by DSIT, Innovate UK, EPSRC, DfE and others.
He is a Fellow of the Higher Education Academy (FHEA). He is a Senior Member of URSI and IEEE. He is a regular reviewer of leading journals from publishers like IEEE (AWPL, WCL, TVT etc), IET, Wiley (e.g. Radio Science) and others. His research interests include wireless communications (6G), channel measurements and modelling, reconfigurable intelligent surface (RIS), non-orthogonal multiple access (NOMA), wireless spectrum (e.g. sensing, dynamic access and RF-EMF), machine learning (classical and Quantum), testbeds and proof of concept system development (e.g. 5G in a box and channel sounder).
Team:
[2024-25] Dr Begum Korunur Engiz (Research Fellow on 6G wireless channels funded by TÜBİTAK, Turkey)
[2024-25] Dr Bilal Khan (Research Associate on 5G for Remote Virtual Production funded by DSIT, UK)
[2025-26] KTP Associate (funded by Innovate UK and Business Partner)
[2021-25] Mr Kd M Raziul Islam (PhD student on RIS / 6G)
Past PhD student:
[July-2023] Dr Chi Nguyen thesis on "Deep Learning Models for Channel Estimation and Modelling in Wireless Networks". Moved to ECIT, QUB as a Research Fellow.
For updated information, please visit : Adnan Ahmad Cheema (google.com)
Teaching Interests
EEE527: Embedded Systems
EEE515: ASICs and digital design
Education/Academic qualification
PhD, Durham University
Master, King's College London
External positions
Member International Exchanges Panel, The Royal Society
1 Jan 2023 → 31 Dec 2025
EPSRC Peer Review College member
5 Oct 2022 → …
Keywords
- QA75 Electronic computers. Computer science
- Wireless Communication
- artificial intelligence
- Experimental Design
- Physical layer
- radio spectrum
- channel modelling
- spectrum sensing
- 5G
- UAV
- drone
- channel measurements
- ITU
- Machine Learning
- time series
- 6G
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Deep Learning for Channel Estimation in RIS-NOMA-assisted THz Communications over Generalized Fading Channels
Khan, T., Cheema, A. A., Seçinti, G., Canberk, B. & Duong, T. Q., 27 Mar 2026, (Published online) In: IEEE Transactions on Consumer Electronics. p. 1-17 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile41 Downloads (Pure) -
Channel Estimation for Reconfigurable Intelligent Surface-aided 6G NOMA Systems: A Quantum Machine Learning Approach
Thoong, N. Q. T., Cheema, A. A., Canberk, B., Tran, D. T., Dobre, O. A. & Duong, T. Q., 17 Sept 2025, (Published online) In: IEEE Transactions on Network Science and Engineering. 13, p. 2197-2218 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)178 Downloads (Pure) -
Deep Learning Models for Time-Series Forecasting of RF-EMF in Wireless Networks
Nguyen, C., Cheema, A. A., Kurnaz, C., Rahimian, A., Brennan, C. & Duong, T. Q., 13 Feb 2024, (Published online) In: IEEE Open Journal of the Communications Society. 5, p. 1399-1414 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)67 Downloads (Pure) -
Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network
Nguyen, C., Hoang, T. M. & Cheema, A. A., 19 May 2023, (Published online) In: IEEE Transactions on Machine Learning in Communications and Networking. 1, p. 43-60 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile93 Link opens in a new tab Citations (Scopus)507 Downloads (Pure) -
Rain statistics investigation and rain attenuation modeling for millimeter wave short-range fixed links
Huang, J., Cao, Y., Raimundo, X., Cheema, A. A. & Salous, S., 24 Oct 2019, (Published online) In: IEEE Access. 7, p. 156110-156120 11 p., 8882260.Research output: Contribution to journal › Article › peer-review
Open AccessFile82 Link opens in a new tab Citations (Scopus)222 Downloads (Pure)
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KTP Programme between the University of Ulster and ASSA ABLOY Limited
Cheema, A. A. (LA) & Rahimian, A. (AS)
6/05/25 → 5/05/27
Project: Research
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Multi-band wideband channel characterization in indoor environments
Cheema, A. A. (PI)
2/09/24 → 1/06/25
Project: Research
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Building Digital Future using Transformative Technologies: a joint initiative of Ulster University and Brazil
Goncalves Machado, G. (PI), Cheema, A. A. (CoI), McIlhagger, A. (CoI), Rahimian, A. (CoI) & Finlay, D. (CoI)
1/01/24 → 31/03/24
Project: Research
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The Belfast 5G Innovation Region (5G Film Anywhere)
Lyons, F. (PI), Cheema, A. A. (CoI), Rahimian, A. (CoI), Charles, D. (CoI) & Finlay, D. (CoI)
1/01/24 → 31/03/25
Project: Research
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Multi-User Vector Network Analysis (VNA) Facility Core Equipment.
Meenan, B. (PI), Cheema, A. A. (CoI), Boyd, A. (CoI), McIlhagger, A. (CoI), Rahimian, A. (CoI), Ralph, C. (CoI), Nugent, C. (CoI), Finlay, D. (CoI), McLaughlin, J. (CoI), Harkin, J. (CoI), Byrne, J. (CoI), Acheson, J. (CoI), Wallace, J. (CoI), Rafferty, J. (CoI), Ng, M. (CoI), Rodzen, K. (CoI), Chen, L. (CoI), Hadi, U. (CoI), Dunlop, P. (CoI), Lemoine, P. (CoI), Bond, R. (CoI), Bozkurt, S. (CoI), Orappanpara Soman, S. K. (CoI) & Mc Elholm, M. (CoI)
Engineering and Physical Sciences Research Council
3/01/23 → 2/10/24
Project: Research