Dr Ahmed Zoha

Senior Lecturer (Autonomous Systems & Connectivity)

Biography

Dr. Ahmed Zoha earned his PhD in Electrical and Electronics Engineering in July 2014 from the University of Surrey (UniS), UK, and his MSc degree in Communication Engineering from Chalmers University, Sweden.

Dr. Zoha has research expertise in the areas of artificial intelligence (AI) and machine learning, advanced signal processing, and state-of-the-art self-learning strategies, and he has more than 12 years of experience in designing intelligent applications and algorithms in the domain of 5G and beyond wireless communication systems, connected healthcare, internet of everything and smart energy monitoring systems.

His research work is centred around a broad range of machine learning applications spanning 5G & beyond network optimization, human behavior modeling for clinical interventions, non-intrusive load monitoring, and he strongly advocates the use of AI for social good. His research has been cited by national and international bodies, regulators, the media and he has also received two IEEE best paper awards.

From 2013 to 2016 Dr. Zoha served as a lead research scientist at Qatar Mobility Innovation Center (QMIC) on Quality Aware Self-Organizing networks (QSON) project worth $1.45 million that focuses on designing AI-driven algorithms for making future cellular systems scalable, adaptive and stable. As part of doctoral and post-doctoral research, he had the opportunity to contribute to interdisciplinary and internationally multimillion-funded research projects including Engineering and Physical Sciences Research Council (EPSRC) funded project REDUCE, EU FP 7 Smart Santander, and HSJ 2018 award winner NHS UK funded TIHM.

Dr. Zoha has contributed to more than 40 leading international technical journal and peer-reviewed conference papers and received several recognitions for his research. Dr. Zoha got an endorsement as a UK exceptional talent candidate, awarded to early-career world-leading innovators and scientists by the Royal Academy of Engineering under the UKBA Tier 1 program.

Dr. Zoha has been a member of the technical program committees of several IEEE flagship conferences and technical reviewer for several IEEE and top-notch journals. He has contributed to organising several IEEE conferences, workshops, and special sessions.

Research interests

Research interests include but are not limited to:

Artificial Intelligence and Machine learning for 5G and beyond wireless communication
Vision-based deep neural networks for 6G Communication System
Self-organizing wireless networks
healthcare analytics for chronic disease management
human behavioral modeling using invasive and non-invasive sensing methods
smart energy monitoring solutions including non-intrusive load monitoring (NILM)
Gaze analytics
biomedical applications of the millimeter and terahertz communication
wearable and flexible sensors
Agritech
wireless body sensor networks

Updated publication list can be found at Google Scholar

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2016 | 2015 | 2014 | 2013 | 2012 | 2007

Number of items: 95.

2024

Shabbir, A., Manzoor, H. U., Manzoor, M. N., Hussain, S. and Zoha, A. (2024) Robustness against data integrity attacks in decentralized federated load forecasting. Electronics, 13(23), 4803. (doi: 10.3390/electronics13234803)

Manzoor, H. U., Hussain, S. , Flynn, D. and Zoha, A. (2024) Centralised vs. decentralised federated load forecasting in smart buildings: who holds the key to adversarial attack robustness? Energy and Buildings, 324, 114871. (doi: 10.1016/j.enbuild.2024.114871)

Manzoor, H. U., Jafri, A. and Zoha, A. (2024) Adaptive single-layer aggregation framework for energy-efficient and privacy-preserving load forecasting in heterogeneous federated smart grids. Internet of Things, 28, 101376. (doi: 10.1016/j.iot.2024.101376)

Manzoor, H. U., Jamshed, M. A., Zoha, A. and Manzoor, S. (2024) Enhancing consumer privacy in federated load forecasting through single layer aggregation. IEEE Consumer Electronics Magazine, (doi: 10.1109/MCE.2024.3500579) (Early Online Publication)

Manzoor, H. U., Shabiar, A., Nguyen, D. C., Mohjazi, L. , Kaushik, A. and Zoha, A. (2024) Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting. In: 2024 IEEE Conference on Standards for Communications and Networking (CSCN), Belgrade, Serbia, 25-27 Nov 2024, (Accepted for Publication)

Manzoor, H. U., Shabbir, A., Chen, A., Flynn, D. and Zoha, A. (2024) A survey of security strategies in federated learning: defending models, data, and privacy. Future Internet, (Accepted for Publication)

Alquraan, M., Zoha, A. , Centeno, A. , Salameh, H. B., Muhaidat, S., Imran, M. A. and Mohjazi, L. (2024) Enhancing reliability in federated mmWave networks: A practical and scalable solution using radar-aided dynamic blockage recognition. IEEE Transactions on Mobile Computing, 23(10), pp. 10146-10160. (doi: 10.1109/TMC.2024.3373529)

Bhatti, S., Manzoor, H. U., Zoha, A. and Ghannam, R. (2024) Computational optimization for CIGS/CdS/GaAs layered solar cell architecture. Energies, 17(18), 4758. (doi: 10.3390/en17184758)

Hussen, A. R., Iqbal, R. and Zoha, A. (2024) Sum Rate Maximisation for IRS-Assisted VLC Using Reinforcement Learning. In: 2024 IEEE Middle East Conference on Communications and Networking (MECOM), Abu Dhabi, United Arab Emirates, 17 - 20 November 2024, (Accepted for Publication)

Iqbal, R., Biagi, M., Zoha, A. , Imran, M. and Abumarshoud, H. (2024) Leveraging IRS induced time delay for enhanced physical layer security in VLC systems. IEEE Wireless Communications Letters, (Accepted for Publication)

Manzoor, H. U., Manzoor, T., Hussain, S. , Manzoor, M. N. and Zoha, A. (2024) Swarm-optimized ZnO/CdS/CIGS/GaAs solar cells for enhanced efficiency and thermal resilience. Advanced Energy and Sustainability Research, (Accepted for Publication)

Bhatti, S., Khan, A. R., Zoha, A. , Hussain, S. and Ghannam, R. (2024) A machine learning frontier for predicting LCOE of photovoltaic system economics. Advanced Energy and Sustainability Research, 5(8), 2300178. (doi: 10.1002/aesr.202300178)

Mefgouda, B., Idoudi, H., Al-Quraan, M. , Waqar, O., Zoha, A. , Imran, M. A. and Mohjazi, L. (2024) A QoS-aware service-driven network selection for HWNs based on MARCOS and utility functions. IEEE Open Journal of the Communications Society, 5, pp. 3658-3677. (doi: 10.1109/OJCOMS.2024.3413031)

Rafiq, I., Mahmood, A., Ahmed, U., Khan, A. R., Arshad, K., Assaleh, K., Ratyal, N. I. and Zoha, A. (2024) A hybrid approach for forecasting occupancy of building’s multiple space types. IEEE Access, 12, pp. 50202-50216. (doi: 10.1109/ACCESS.2024.3383918)

Ahmed, U., Khan, A. R., Mahmood, A., Rafiq, I., Ghannam, R. and Zoha, A. (2024) Short-term global horizontal irradiance forecasting using weather classified categorical boosting. Applied Soft Computing, 155, 111441. (doi: 10.1016/j.asoc.2024.111441)

Dangana, M., Hussain, S. , Ansari, S. , Imran, M. and Zoha, A. (2024) A Digital Twin (DT) approach to Narrow-Band Internet of Things (NB-IoT) wireless communication optimization in an industrial scenario. Internet of Things, 25, 101113. (doi: 10.1016/j.iot.2024.101113)

Al Ani, S., Cleland, J. and Zoha, A. (2024) Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging. In: 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2024), Rome, Italy, 21-23 February 2024, pp. 326-331. ISBN 9789897586880 (doi: 10.5220/0000184700003657)

Elgarhy, O., Reggiani, L., Alam, M. M., Zoha, A. , Ahmad, R. and Kuusik, A. (2024) Energy efficiency and latency optimization for IoT URLLC and mMTC use cases. IEEE Access, 12, pp. 23132-23148. (doi: 10.1109/ACCESS.2024.3364349)

Adnan, A., Al-Quraan, M., Zoha, A. , Imran, M. A. and Mohjazi, L. (2024) Performance Evaluation of IRS-Assisted Intra-cell Handover in Vision-Aided mmWave Networks. In: 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 21-24 Apr 2024, (Accepted for Publication)

Ayaz, F., Alhumaily, B. , Hussain, S. , Mohjazi, L. , Imran, M. A. and Zoha, A. (2024) Integrating Millimeter-Wave FMCW Radar for Investigating Multi-Height Vital Sign Monitoring. In: 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 21-24 Apr 2024, (Accepted for Publication)

Khosravi, S., Li, H., Khan, A. R., Zoha, A. and Ghannam, R. (2024) Exploring the elusive mind: a multimodal wearable sensor solution for measuring mind wandering in university students. Advanced Sensor Research, 3(1), 2300067. (doi: 10.1002/adsr.202300067)

2023

Khan, A. R., Manzoor, H. U., Ayaz, F., Imran, M. A. and Zoha, A. (2023) A privacy and energy-aware federated framework for human activity recognition. Sensors, 23(23), 9339. (doi: 10.3390/s23239339) (PMID:38067712) (PMCID:PMC10708886)

Ahmad, I. , Khan, A. R., Bin Rais, R. N., Zoha, A. , Imran, M. A. and Hussain, S. (2023) Vision-Assisted Beam Prediction for Real World 6G Drone Communication. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2023), Toronto, ON, Canada, 5–8 Sept 2023, ISBN 9781665464833 (doi: 10.1109/PIMRC56721.2023.10294031)

Manzoor, H. U., Khan, A. R., Sher, T., Ahmad, W. and Zoha, A. (2023) Defending Federated Learning From Backdoor Attacks: Anomaly-Aware FedAVG With Layer-Based Aggregation. In: 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, ON, Canada, 05-08 Sep 2023, ISBN 9781665464833 (doi: 10.1109/PIMRC56721.2023.10293950)

Ayaz, F., Alhumaily, B. , Hussain, S. , Imran, M. A. and Zoha, A. (2023) VMD Integrated FMCW Radar System for Non-Invasive Pediatric Vital Sign Estimation. In: IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD2023), Edinburgh, Scotland, 06-08 Nov 2023, (Accepted for Publication)

Hafeez, S., Manzoor, H. U., Mohjazi, L. , Zoha, A. , Imran, M. A. and Sun, Y. (2023) Blockchain-Empowered Immutable and Reliable Delivery Service (BIRDS) Using UAV Networks. In: 2023 IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD), Edinburgh, UK, 6–8 Nov 2023, (Accepted for Publication)

Bhatti, S., Manzoor, H. U., Michel, B., Bonilla, R. S., Abrams, R., Zoha, A. , Hussain, S. and Ghannam, R. (2023) Revolutionizing low-cost solar cells with machine learning: a systematic review of optimization techniques. Advanced Energy and Sustainability Research, 10(4), 2300004. (doi: 10.1002/aesr.202300004)

Al-Quraan, M., Khan, A., Centeno, A. , Zoha, A. , Imran, M. A. and Mohjazi, L. (2023) FedraTrees: a novel computation-communication efficient federated learning framework investigated in smart grids. Engineering Applications of Artificial Intelligence, 124, 106654. (doi: 10.1016/j.engappai.2023.106654)

Hafeez, S., Khan, A. R., Al-Quraan, M., Mohjazi, L. , Zoha, A. , Imran, M. A. and Sun, Y. (2023) Blockchain-assisted UAV communication systems: a comprehensive survey. IEEE Open Journal of Vehicular Technology, 4, pp. 558-580. (doi: 10.1109/OJVT.2023.3295208)

Abubakar, A. I. , Mollel, M. S. , Onireti, O. , Ozturk, M., Ahmad, I. , Asad, S. M., Sambo, Y. , Zoha, A. , Hussain, S. and Imran, M. A. (2023) Coverage and throughput analysis of an energy efficient UAV base station positioning scheme. Computer Networks, 232, 109854. (doi: 10.1016/j.comnet.2023.109854)

Al-Quraan, M., Khan, A., Mohjazi, L. , Centeno, A. , Zoha, A. and Imran, M. A. (2023) Intelligent beam blockage prediction for seamless connectivity in vision-aided next-generation wireless networks. IEEE Transactions on Network and Service Management, 20(2), 1937 - 1948. (doi: 10.1109/TNSM.2022.3216556)

Al-Quraan, M., Mohjazi, L. , Bariah, L., Centeno, A. , Zoha, A. , Arshad, K., Assaleh, K., Muhaidat, S., Debbah, M. and Imran, M. A. (2023) Edge-native intelligence for 6G communications driven by federated learning: a survey of trends and challenges. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(3), pp. 957-979. (doi: 10.1109/TETCI.2023.3251404)

Al-Quraan, M., Centeno, A. , Zoha, A. , Imran, M. A. and Mohjazi, L. (2023) Federated Learning for Reliable mmWave Systems: Vision-Aided Dynamic Blockages Prediction. In: IEEE Wireless Communications and Networking Conference (WCNC2023), Glasgow, Scotland, UK, 26-29 March 2023, ISBN 9781665491228 (doi: 10.1109/WCNC55385.2023.10118675)

Manzoor, H. U., Khan, A. R., Flynn, D. , Alam, M. M., Akram, M., Imran, M. A. and Zoha, A. (2023) FedBranched: Leveraging federated learning for anomaly-aware load forecasting in energy networks. Sensors, 23(7), 3570. (doi: 10.3390/s23073570)

Amin, A., Mahmood, A., Khan, A. R., Arshad, K., Assaleh, A. and Zoha, A. (2023) A two-stage multi-agent EV charging coordination scheme for maximizing grid performance and customer satisfaction. Sensors, 23(6), 2925. (doi: 10.3390/s23062925)

Khan, A. R., Ahmad, I. , Mohjazi, L. , Hussain, S. , Rais, R. N. B., Imran, M. A. and Zoha, A. (2023) Latency-aware blockage prediction in vision-aided federated wireless networks. Frontiers in Communications and Networks, 4, 1130844. (doi: 10.3389/frcmn.2023.1130844)

2022

AlQallaf, N., Ayaz, F., Bhatti, S., Hussain, S. , Zoha, A. and Ghannam, R. (2022) Solar Energy Systems Design in 2D and 3D: A Comparison of User Vital Signs. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9971065)

Ayaz, F., Hussain, S. , Ahmad, W. , Kawsar, F., Imran, M. A. and Zoha, A. (2022) Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970856)

Khan, A. R., Bokhari, S. M., Khosravi, S., Hussain, S. , Ghannam, R. , Imran, M. A. and Zoha, A. (2022) Feature Selection Mechanism for Attention Classification Using Gaze Tracking Data. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970936)

Khosravi, S., Khan, A. R., Zoha, A. and Ghannam, R. (2022) Employing a Wearable Eye-tracker to Observe Mind-wandering in Dynamic Stimuli. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970787)

Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D. , Imran, M. A. and Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970909)

Ahmad, I. , Kaur, J. , Abbas, H. T. , Abbasi, Q. H. , Zoha, A. , Imran, M. A. and Hussain, S. (2022) UAV-assisted 5G Networks for Optimised Coverage Under Dynamic Traffic Load. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 1692-1693. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886848)

Manzoor, S., Noor Mian, A., Zoha, A. and Imran, M. A. (2022) Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks. Future Generation Computer Systems, 133, pp. 307-319. (doi: 10.1016/j.future.2022.03.025)

Zoha, A. , Qadir, J. and Abbasi, Q. H. (2022) Editorial for the research topic: AI-powered IoT for intelligent systems and smart applications. Frontiers in Communications and Networks, 3, 959303. (doi: 10.3389/frcmn.2022.959303)

Manzoor, H. U., Khan, A. R., Al-Quraan, M., Mohjazi, L. , Taha, A. , Abbas, H. , Hussain, S. , Imran, M. A. and Zoha, A. (2022) Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection. In: 4th Global Power, Energy and Communication Conference (GPECOM 2022), Cappadocia, Turkey, 14-17 June 2022, pp. 644-649. ISBN 9781665469258 (doi: 10.1109/GPECOM55404.2022.9815599)

Shah, S. A., Tahir, A., Le Kernec, J. , Zoha, A. and Fioranelli, F. (2022) Data portability for activities of daily living and fall detection in different environments using radar micro-doppler. Neural Computing and Applications, 34(10), pp. 7933-7953. (doi: 10.1007/s00521-022-06886-2)

AlQallaf, N., Chen, X., Ge, Y., Khan, A., Zoha, A. , Hussain, S. and Ghannam, R. (2022) Teaching Solar Energy Systems Design using Game-Based Virtual Reality. In: IEEE Global Engineering Education Conference (EDUCON2022), Tunis, Tunisia, 28-31 Mar 2022, pp. 956-960. ISBN 9781665444347 (doi: 10.1109/EDUCON52537.2022.9766460)

Khan, A. R., Khosravi, S., Hussain, S. , Ghannam, R. , Zoha, A. and Imran, M. A. (2022) EXECUTE: Exploring Eye Tracking to Support E-learning. In: IEEE Global Engineering Education Conference (EDUCON2022), Tunis, Tunisia, 28-31 March 2022, pp. 670-676. ISBN 9781665444347 (doi: 10.1109/EDUCON52537.2022.9766506)

Khosravi, S., Khan, A. R., Zoha, A. and Ghannam, R. (2022) Self-Directed Learning using Eye-Tracking: A Comparison between Wearable Head-worn and Webcam-based Technologies. In: IEEE Global Engineering Education Conference (EDUCON2022), Tunis, Tunisia, 28-31 March 2022, pp. 640-643. ISBN 9781665444347 (doi: 10.1109/EDUCON52537.2022.9766468)

Khan, A. R., Zoha, A. , Mohjazi, L. , Sajid, H., Abbasi, Q. and Imran, M. A. (2022) When Federated Learning Meets Vision: an Outlook on Opportunities and Challenges. In: EAI BODYNETS 2021 - 16th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management, Glasgow, Great Britain, 25-26 October 2021, pp. 308-319. ISBN 9783030955939 (doi: 10.1007/978-3-030-95593-9_23)

Ur Rehman, M. and Zoha, A. (Eds.) (2022) Body Area Networks. Smart IoT and Big Data for Intelligent Health Management: 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings. Series: Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer: Cham. ISBN 9783030955922

Taha, A. , Ge, Y., Taylor, W., Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2022) Indoor Activity Position and Direction Detection Using Software Defined Radios. In: EAI BODYNETS 2021 - 16th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management, Glasgow, Great Britain, 25-26 October 2021, pp. 15-27. ISBN 9783030955922 (doi: 10.1007/978-3-030-95593-9_2)

2021

Al-Quraan, M., Khan, A. R., Mohjazi, L. , Centeno, A. , Zoha, A. and Imran, M. A. (2021) A Hybrid Data Manipulation Approach for Energy and Latency-Efficient Vision-Aided UDNs. In: 2021 Eighth International Conference on Software Defined Systems (SDS), Gandia, Spain (Virtual), 6-9 Dec 2021, ISBN 9781665458207 (doi: 10.1109/SDS54264.2021.9732115)

Kazim, J. U. R. , Cui, T. J., Zoha, A. , Li, L., Shah, S. A. , Alomainy, A., Imran, M. A. and Abbasi, Q. H. (2021) Wireless on walls: revolutionizing the future of health care. IEEE Antennas and Propagation Magazine, 63(6), pp. 87-93. (doi: 10.1109/MAP.2020.3036063)

Khan, A. R., Zoha, A. , Hussain, S. and Imran, M. A. (2021) EXECUTE: Exploring Eye Tracking Data to Support E-learning. UK&IE EER Summer Event, 9 Sept 2021. (Accepted for Publication)

Ashleibta, A. M., Taha, A. , Khan, M. A., Taylor, W. , Tahir, A., Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2021) 5G-enabled contactless multi-user presence and activity detection for independent assisted living. Scientific Reports, 11, 17590. (doi: 10.1038/s41598-021-96689-7) (PMID:34475439) (PMCID:PMC8413293)

Attaullah, H., Anjum, A., Kanwal, T., Malik, S. U., Asheralieva, A., Malik, H., Zoha, A. , Arshad, K. and Imran, M. A. (2021) F-classify: fuzzy rule based classification method for privacy preservation of multiple sensitive attributes. Sensors, 21(14), 4933. (doi: 10.3390/s21144933) (PMID:34300673) (PMCID:PMC8309743)

Rizwan, A., Zoha, A. , Mabrouk, I. B., Sabbour, H., Al-Sumaiti, A. S., Alomaniy, A., Imran, M. A. and Abbasi, Q. H. (2021) A review on the state of the art in atrial fibrillation detection enabled by machine learning. IEEE Reviews in Biomedical Engineering, 14, pp. 219-239. (doi: 10.1109/RBME.2020.2976507) (PMID:32112683)

Taha, A. , Hopthrow, T., Wu, R., Adams, N., Brown, J., Zoha, A. , Abbasi, Q. H., , Imran, M. A. and Krabicka, J. (2021) Identifying the lack of energy-conscious behaviour in clinical and non-clinical settings: an NHS case study. Electronics, 10(20), 2468. (doi: 10.3390/electronics10202468)

Taufique, A., Rizwan, A., Imran, A., Arshad, K., Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2021) Big data analytics for 5G networks: utilities, frameworks, challenges and opportunities. In: Tafazolli, R., Wang, C.-L. and Chatzimisios, P. (eds.) Wiley 5G REF: the Essential 5G Reference Online. John Wiley & Sons Ltd. ISBN 9781119471509 (doi: 10.1002/9781119471509.w5GRef230)

2020

Imran, M. A. , Zoha, A. , Zhang, L. and Abbasi, Q. H. (2020) Grand challenges in IoT and sensor networks. Frontiers in Communications and Networks, 1, 619452. (doi: 10.3389/frcmn.2020.619452)

Mohjazi, L. , Zoha, A. , Bariah, L., Muhaidat, S., Sofotasios, P. C., Imran, M. A. and Dobre, O. A. (2020) An outlook on the interplay of artificial intelligence and software-defined metasurfaces: an overview of opportunities and limitations. IEEE Vehicular Technology Magazine, 15(4), pp. 62-73. (doi: 10.1109/MVT.2020.3023550)

Rizwan, A., Ozturk, M., Abu Ali, N., Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2020) Machine learning for decision making in healthcare. In: Imran, M. A., Ghannam, R. and Abbasi, Q. H. (eds.) Engineering and Technology for Healthcare. Wiley-IEEE: Hoboken, NJ, pp. 95-115. ISBN 9781119644248 (doi: 10.1002/9781119644316.ch5)

Mollel, M. S. , Abubakar, A. I. , Ozturk, M., Kaijage, S., Kisangiri, M., Zoha, A. , Imran, M. A. and Abbasi, Q. H. (2020) Intelligent handover decision scheme using double deep reinforcement learning. Physical Communication, 42, 101133. (doi: 10.1016/j.phycom.2020.101133)

Saboor, A., Kask, T., Kuusik, A., Alam, M. M., Le Moullec, Y., Niazi, I. K., Zoha, A. and Ahmed, R. (2020) Latest research trends in gait analysis using wearable sensors and machine learning: a systematic review. IEEE Access, 8, pp. 167830-167864. (doi: 10.1109/ACCESS.2020.3022818)

Rizwan, A., Ali, N. A., Zoha, A. , Ozturk, M., Alomaniy, A., Imran, M. A. and Abbasi, Q. H. (2020) Non-invasive hydration level estimation in human body using Galvanic Skin Response. IEEE Sensors Journal, 20(9), pp. 4891-4900. (doi: 10.1109/JSEN.2020.2965892)

Asad, S. M., Ahmad, J., Hussain, S. , Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2020) Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning. Sensors, 20(9), 2629. (doi: 10.3390/s20092629)

Ren, A. , Zahid, A., Zoha, A. , Shah, S. A. , Imran, M. A. , Alomainy, A. and Abbasi, Q. H. (2020) Machine learning driven approach towards the quality assessment of fresh fruits using non-invasive sensing. IEEE Sensors Journal, 20(4), pp. 2075-2083. (doi: 10.1109/JSEN.2019.2949528)

Rizwan, A., Ali, N.A., Zoha, A. , Alomainy, A., Imran, M.A. and Abbasi, Q.H. (2020) Galvanic Skin Response Based Non-invasive Method of Hydration Level Estimation in Human Body. 4th Australian Microwave Symposium, Sydney, Australia, 13-14 Feb 2020. (Accepted for Publication)

2019

Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2019) Anomaly detection and self-healing in industrial wireless networks. In: Imran, M. A., Hussain, S. and Abbasi, Q. H. (eds.) Wireless Automation as an Enabler for the Next Industrial Revolution. Wiley-IEEE Press, pp. 109-138. ISBN 9781119552611 (doi: 10.1002/9781119552635.ch6)

Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2019) A non-event based approach for non-intrusive load monitoring. In: Imran, M. A., Hussain, S. and Abbasi, Q. H. (eds.) Wireless Automation as an Enabler for the Next Industrial Revolution. Wiley-IEEE Press, pp. 173-191. ISBN 9781119552611 (doi: 10.1002/9781119552635.ch8)

Zahid, A., Abbas, H. T. , Ren, A. , Zoha, A. , Heidari, H. , Shah, S. A. , Imran, M. A. , Alomainy, A. and Abbasi, Q. H. (2019) Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves. Plant Methods, 15, 138. (doi: 10.1186/s13007-019-0522-9)

Zahid, A., Abbas, H. T., Sheikh, F., Kaiser, T., Zoha, A. , Imran, M. A. and Abbasi, Q. H. (2019) Monitoring health status and quality assessment of leaves using terahertz frequency. FERMAT, 35, 6.

Enshaeifar, S., Zoha, A. , Skillman, S., Markides, A., Acton, S. T., Elsaleh, T., Kenny, M., Rostill, H., Nilforooshan, R. and Barnaghi, P. (2019) Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia. PLoS ONE, 14(1), e0209909. (doi: 10.1371/journal.pone.0209909) (PMID:30645599) (PMCID:PMC6333356)

Asad, S. M., Ozturk, M., Rais, R. N. B., Zoha, A. , Hussain, S. , Abbasi, Q. H. and Imran, M. A. (2019) Reinforcement Learning Driven Energy Efficient Mobile Communication and Applications. In: 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman, United Arab Emirates, 10-12 Dec 2019, ISBN 9781728153414 (doi: 10.1109/ISSPIT47144.2019.9001888)

Rizwan, A., Zoha, A. , Alomainy, A., Ali, N.A., Imran, M.A. and Abbasi, Q.H. (2019) Skin Conductance as Proxy for the Identification of Hydration Level in Human Body. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777806)

Zahid, A., Abbas, H. T. , Sheikh, F., Kaiser, T., Zoha, A. , Imran, M. A. and Abbasi, Q. H. (2019) Monitoring Health Status and Quality Assessment of Leaves Using Terahertz Frequency. In: 2019 IEEE Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA, USA, 07-12 Jul 2019, pp. 379-380. ISBN 9781728106922 (doi: 10.1109/APUSNCURSINRSM.2019.8889356)

2018

Rizwan, A., Zoha, A. , Ahmad, W. , Arshad, K., Ali, N., Alomainy, A., Imran, M.A. and Abbasi, Q.H. (2018) A review on the role of nano-communication in future healthcare systems: A big data analytics perspective. IEEE Access, 6, pp. 41903-41920. (doi: 10.1109/ACCESS.2018.2859340)

Zoha, A. , Saeed, A., Farooq, H., Rizwan, A. and Imran, M. A. (2018) Leveraging intelligence from network CDR data for interference aware energy consumption minimization. IEEE Transactions on Mobile Computing, 17(7), pp. 1569-1582. (doi: 10.1109/TMC.2017.2773609)

Enshaeifar, S. et al. (2018) Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques. PLoS ONE, 13(5), e0195605. (doi: 10.1371/journal.pone.0195605) (PMID:29723236) (PMCID:PMC5933790)

Rafiq, M. N., Farooq, H., Zoha, A. and Imran, A. (2018) Can Temperature be Used as a Predictor of Data Traffic? A Real Network Big Data Analysis. In: 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT), Zurich, Switzerland, 17-20 Dec 2018, pp. 167-173. ISBN 9781538655023 (doi: 10.1109/BDCAT.2018.00028)

2016

Onireti, O. , Zoha, A. , Moysen, J., Imran, A., Giupponi, L., Imran, M. A. and Abu-Dayya, A. (2016) A cell outage management framework for dense heterogeneous networks. IEEE Transactions on Vehicular Technology, 65(4), pp. 2097-2113. (doi: 10.1109/TVT.2015.2431371)

Zoha, A. , Saeed, A., Imran, A., Imran, M. A. and Abu-Dayya, A. (2016) A learning-based approach for autonomous outage detection and coverage optimization. Transactions on Emerging Telecommunications Technologies, 27(3), pp. 439-450. (doi: 10.1002/ett.2971)

Zoha, A. , Gluhak, A., Nati, M., Imran, M. A. and Rajasegarar, S. (2016) Audio and device feature fusion for load recognition. In: Novel Applications of Intelligent Systems. Series: Studies in computational intelligence (586). Springer Berlin Heidelberg, pp. 287-300. ISBN 9783319141930 (doi: 10.1007/978-3-319-14194-7_15)

Zoha, A. , Onireti, O. , Saeed, A., Imran, A., Imran, M. A. and Abu-Dayya, A. (2016) Outage detection framework for energy efficient communication network. In: Shakir, M. Z., Imran, M. A., Qaraqe, K. A., Alouini, M.-S. and Vasilakos, A. (eds.) Energy Management in Wireless Cellular and Ad-hoc Networks. Series: Studies in systems, decision and control (50). Springer International Publishing, pp. 3-29. ISBN 9783319275666 (doi: 10.1007/978-3-319-27568-0_1)

2015

Zoha, A. , Saeed, A., Imran, A., Imran, M. A. and Abu-Dayya, A. (2015) A SON Solution for Sleeping Cell Detection Using Low-Dimensional Embedding of MDT Measurements. In: 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), Washington, DC, USA, 02-05 Sep 2014, pp. 1626-1630. ISBN 9781479949120 (doi: 10.1109/PIMRC.2014.7136428)

Akbar, A., Carrez, F., Moessner, K. and Zoha, A. (2015) Predicting Complex Events for Pro-Active IoT Applications. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), Milan, Italy, 14-16 Dec 2015, ISBN 9781509003662 (doi: 10.1109/WF-IoT.2015.7389075)

Saeed, A., Katranaras, E., Zoha, A. , Imran, A., Imran, M. A. and Dianati, M. (2015) Energy Efficient Resource Allocation for 5G Heterogeneous Networks. In: 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Guildford, United Kingdom, 07-09 Sep 2015, pp. 119-123. ISBN 9781467381864 (doi: 10.1109/CAMAD.2015.7390492)

Zoha, A. , Saeed, A., Imran, A., Imran, M. A. and Abu-Dayya, A. (2015) Data-Driven Analytics for Automated Cell Outage Detection in Self-Organizing Networks. In: 2015 11th International Congerence on the Design of Reliable Communication Networks (DRCN), Kansas City, MO, USA, 24-27 Mar 2015, pp. 203-210. ISBN 9781479977956 (doi: 10.1109/DRCN.2015.7149014)

2014

Imran, A., Zoha, A. and Abu-Dayya, A. (2014) Challenges in 5G: how to empower SON with big data for enabling 5G. IEEE Network, 28(6), pp. 27-33. (doi: 10.1109/MNET.2014.6963801)

2013

Zoha, A. , Imran, M. A. , Gluhak, A. and Nati, M. (2013) A comparison of generative and discriminative appliance recognition models for load monitoring. IOP Conference Series: Materials Science and Engineering, 51(1), 012002. (doi: 10.1088/1757-899X/51/1/012002)

Zoha, A. , Gluhak, A., Nati, M. and Imran, M. A. (2013) Low-Power Appliance Monitoring Using Factorial Hidden Markov Models. In: 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Australia, 02-05 Apr 2013, pp. 527-532. ISBN 9781467355018 (doi: 10.1109/ISSNIP.2013.6529845)

2012

Zoha, A. , Gluhak, A., Imran, M. A. and Rajasegarar, S. (2012) Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey. Sensors, 12(12), pp. 16838-16866. (doi: 10.3390/s121216838) (PMID:23223081) (PMCID:PMC3571813)

Zoha, A. , Gluhak, A., Nati, M., Imran, M. A. and Rajasegarar, S. (2012) Acoustic and Device Feature Fusion for Load Recognition. In: 2012 6th IEEE International Conference Intelligent Systems, Sofia, Bulgaria, 06-08 Sep 2012, ISBN 9781467322782 (doi: 10.1109/IS.2012.6335166)

2007

Khan, M. F., Zoha, A. and Ali, R. L. (2007) Design and Implementation of Smart Billing and Automated Meter Reading System for Utility Gas. In: 2007 International Conference on Information and Emerging Technologies, Karachi, Pakistan, 06-07 Jul 2007, ISBN 9781424412464 (doi: 10.1109/ICIET.2007.4381338)

This list was generated on Fri Dec 20 13:24:40 2024 GMT.

Jump to: Articles | Book Sections | Edited Books | Conference or Workshop Item | Conference Proceedings

Number of items: 95.

Articles

Bhatti, S., Manzoor, H. U., Zoha, A. and Ghannam, R. (2024) Computational optimization for CIGS/CdS/GaAs layered solar cell architecture. Energies, 17(18), 4758. (doi: 10.3390/en17184758)

Imran, M. A. , Zoha, A. , Zhang, L. and Abbasi, Q. H. (2020) Grand challenges in IoT and sensor networks. Frontiers in Communications and Networks, 1, 619452. (doi: 10.3389/frcmn.2020.619452)

Zahid, A., Abbas, H. T., Sheikh, F., Kaiser, T., Zoha, A. , Imran, M. A. and Abbasi, Q. H. (2019) Monitoring health status and quality assessment of leaves using terahertz frequency. FERMAT, 35, 6.

Imran, A., Zoha, A. and Abu-Dayya, A. (2014) Challenges in 5G: how to empower SON with big data for enabling 5G. IEEE Network, 28(6), pp. 27-33. (doi: 10.1109/MNET.2014.6963801)

Book Sections

Edited Books

Conference or Workshop Item

Khan, A. R., Zoha, A. , Hussain, S. and Imran, M. A. (2021) EXECUTE: Exploring Eye Tracking Data to Support E-learning. UK&IE EER Summer Event, 9 Sept 2021. (Accepted for Publication)

Conference Proceedings

This list was generated on Fri Dec 20 13:24:40 2024 GMT.

Grants

5G New Thinking Shared Spectrum Rural Network (5G-SSRN) (Co-I, 2020-2022)
5G Centre of Excellence at Glasgow (Co-I, 2019-2022)
Co-design and training partners in ODA recipient countries on pop-up networking for disasters, one-off events and rural coverage (Co-I, GCRF IAA, 2018-2019)

Supervision

Primary Supervisor of Ahsan Raza Khan, Federated Learning for Machine Learning-Driven Application, (Started Nov 2020)

Visiting Academics/Researchers Sanaullah Manzoor (Sep 2020, Funded by Higher Education Commission, Pakistan)

Ahmad, Iftikhar
UAVs Assisted Next Generation Wireless Networks
Al Ani, Saja
Future Ultrasonic Engineering (FUSE)
Alhumaily, Basim Abdullah S
AI-Driven Non-Invasive Radar-Based Human-Centered Intelligent Systems
Ayaz, Fahad
Low complexity indoor localisation of human activity via Wifi transceivers for healthcare Applications
Hussen, Ahmed Ressan
Intelligent Free Space Optical Communications
Iqbal, Rashid
Efficient techniques for highly adaptive LiFi systems
Khan, Ahsan Raza
Federated Learning for Next-Generation Intelligent Applications
Manzoor, Habib Ullah
Leveraging AI for Backhaul Fault Detection in Self-Healing Mobile Networks

Past Supervision I have assisted/ currently assisting in supervising the following graduate/undergraduate/post-graduate students:

Ali Rizwan, PhD Student at University of Glasgow, UK
Syed Asad, Part-time PhD Student at University of Glasgow, UK
Muhammad Nauman Rafiq: Master Student at University of Oklahoma (OU), USA
Rizwan Qadeer, Research Assistant, (Oct 2016 - May 2017, SUTD, Singapore)

I am always looking for good students who have interest/experience in artificial intelligence and machine learning-driven design, vision and image processing, internet of everything, 5G and beyond wireless communication, healthcare applications including off-on body wireless networks.

If you are a prospective graduate student who has some prior background in relevant areas, then please feel free to send me an email about yourself and your research interests.

Teaching

Introductory Programming (Fall 2019)
Applications of Machine Learning and AI for Wireless Communication Systems (Spring 2020)

Research datasets

Jump to: 2021

Number of items: 1.

2021

Ashleibta, A. M. A., Taha, A., Taylor, W., Zoha, A. , Imran, M. and Abbasi, Q. (2021) 5G-Enabled Contactless Multi-User Presence and Activity Detection for Independent Assisted Living. [Data Collection]

This list was generated on Fri Dec 20 23:11:21 2024 GMT.

Additional information

June 2020 IET Prize - My undergraduate Final year received an IET Prize for the overall best final year project

April 2020 Best Summer School Project Prize - My supervised summer school project on “Analysing Respiratory Sounds for Chronic Obstructive Pulmonary Disease (COPD) Detection” received the Best Summer School Project Prize

June 2018 Work Cited in News - Our research work titled "Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning technique" has been highlighted in Science daily news

March 2017 UK Exceptional Talent, - Endorsement y Royal Academy of Engineering under UKBA Tier 1 Scheme

Jan 2016 IEEE Comsoc TechFocus BlogPost - IEEE Comsoc TechFocus features our article "Challenges in 5G: How to Empower SON with Big Data for Enabling 5G" on the latest developments of 5G

May 2016 Invited Reviewer - I have been invited by Directorate of Science and Technology, KPK, Pakistan as an international project reviewer for DoST Innovation Fund 2016

April 2013 Best Paper Award - Our conference Paper titled "Low-Power Appliance Monitoring Using Factorial Hidden Markov Model" received a Best Paper Award at Eight IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Melbourne

Sep 2012 Best Paper Award - Our conference Paper titled "Acoustic and device feature fusion for load Recognition" received a Best Paper Award at sixth IEEE Intelligent Systems Conference (IS2012), Sofia, Bulgaria

2010-2013 Full-time PhD Research Scholarship, Awarded EPSRC Docotral funding for the project "Reshaping Energy Demands Using ICT" - Covers tuition fees and living expenses

2008 StatOil Hydro Summer Project Fellowship, - Selected as one of 60 participants nationwide for this 4-month summer project program for high-achieving diverse talent based on technical and leadership potential

Conferences and Workshop Organisation

Oct 2021 Chair Technical Programme Committee of 16th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management

Oct 2020 Track Chair for Advancement in Connected Wearables and Data Analytics for Healthcare Applications in 15th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management

Oct 2020 Technical Programme Committee Member of 16th International Conference on Emerging Technologies, Rawalpindi, Pakistan

Aug 2020 Publicity Chair for 5th International Conference on UK-China Emerging Technologies (UCET) Conference

Aug 2019 Organizing Committee Member for 4th International Conference on UK-China Emerging Technologies (UCET) Conference 2019

Aug 2019 Lead Organizer for the one-day Industrial Engagement Event on the verticals of 5G attended by 14 industrial representatives, held at James Watt South, University of Glasgow, UK

Jan 2019 Lead Organizer for the 3-day 5G GCRF workshop on “Low-Cost Pop-Up Networks” attended by more than 30 participants that include local academics and external partners from Malaysia, Indonesia, Brazil, and Pakistan, held at James Watt South, University of Glasgow, UK

Oct 2018 Lead Organiser for the 5G workshop on Creating Sustainable 5G Technology and Services, Industrial engagement around 5G use cases at University of Glasgow, UK

May 2016 Technical Programme Committee Member of IEEE Region 10 Symposium (TENSYMP), Sanur, Bali island, Indonesia

A portrait of Ahmed Zoha

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Dr Ahmed Zoha

Biography

Research interests

Publications

2024

2023

2022

2021

2020

2019

2018

2016

2015

2014

2013

2012

2007

Articles

Book Sections

Edited Books

Conference or Workshop Item

Conference Proceedings

Grants

Supervision

Teaching

Research datasets

2021

Additional information