Dr Ambreen Hussain

Lecturer in Computing

School of Computing and Digital Technology - CDT

Email:: Ambreen.Hussain@bcu.ac.uk

Dr Ambreen is a Lecturer in Computing at Birmingham City University (BCU). She teaches a range of computing disciplines including Smart Systems, Linux Operating Systems, Application Development, Introduction to Programming, and DevOps and Enterprise Automation.

She received her PhD from Staffordshire University in 2020, funded by the European FP7 WatERP project. Her research was focused on sustainable semantic interoperability and semantic validation of sensor data. During her Master's by Research degree from Cranfield University in 2013, she worked on a project by Jaguar Land Rover for test case automation. She has authored and reviewed many IEEE conference papers and Journal papers.

As a Research Fellow, Dr Ambreen led the research work on Smart Sensing and Processing for the 5G Connected Forest (5GCF) project at BCU. Funded by the Department of Digital, Culture, Media and Sport (DCMS), the 5GCF was a multimillion industrial project for the historical site of Nottinghamshire’s Sherwood Forest.

The primary goal of her role was to harness the power of 5G technology to support the live monitoring of forested environments through passive remote sensing for large data acquisition and analysis for forest health assessment and reporting [1]. She gained software and database development skills using the latest technologies through 4-year industrial work experience using the C#, Python, .Net framework, Eclipse, Java, SQL Server and Oracle.

Her research interests include data processing using deep learning methods, IoT-enabled efficient management systems, cloud computing, edge computing, knowledge engineering and semantic validation of IoT data.

Areas of Expertise

Qualifications

Memberships

Teaching

Research

Publications

Moad Idrissi, Ambreen Hussain, Bidushi Barua, Ahmed Osman, Raouf Abozariba, Adel Aneiba and Taufiq Asyhari, 2022. “Evaluating the Forest Ecosystem through a Semi-Autonomous Quadruped Robot and a Hexacopter UAV”, Sensors 2022, 22, 5497. https://doi.org/10.3390/s22155497
B, Barua, A. Hussain, A. Osman, R. Abozariba, and T. Asyhari, “Cooperative Computation for Effective Saving of UAV Battery and Faster Processing in a UAV-enabled Monitoring System”, MDPI Sensors (2022) (Under Review)
A. Hussain, W. Wu, Zhaozhao Tang, “An MDE-Based Methodology for Closed-World Integrity Constraint Checking in the Semantic Web” (2022). Journal of Web Semantics, DOI: https://doi.org/10.1016/j.websem.2022.100717
Moad Idrissi, Ambreen Hussain, Ahmed Osman, Raouf Abozariba, Bidushi Barua, Adel Aneiba, Rehan Bhana, and Taufiq Asyhari, 2022. “Sensitivity of Robot-Aided Remote Object Detection in Forests under Variation of Light Illumination”. Accepted for EDBT/ICDT 2022, Joint Conference, Edinburgh, UK (in press).
Ibnu F. Kurniawan, Adel Aneiba, Ambreen Hussain, Moad Idrissi, Iswan Dunggio, and Taufiq Asyhari, “Large-scale Tree Detection through UAV-based Remote Sensing in Indonesia: Wallacea Case Study”, 2022. Best presentation award at 8th International Conference on Information Management University of Cambridge, Cambridge, UK (in press).
Ambreen Hussain, Bidushi Barua, Ahmed Osman, Raouf Abozariba, and A Taufiq Asyhari. 2021. “Low Latency and Non-Intrusive Accurate Object Detection in Forests”. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 1–6.
Ahmed Osman, Raouf Abozariba, A Taufiq Asyhari, Adel Aneiba, Ambreen Hussain, Bidushi Barua, and Moazam Azeem. 2021. “Real-Time Object Detection with Automatic Switching between Single-Board Computers and the Cloud”. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 1–6.
Z. Tang, W. Wu, J. Gao, P. Yang, A. Hussain, J. Luo, R. Tao, C. Fu, T. Li, “Improving Water Pressure Measurement Using Temperature-Compensated Wireless Passive SAW Bidirectional RDL Pressure Sensor”, IEEE Trans. Instrum. Meas. (2021). https://doi.org/10.1109/TIM.2021.3120146.
A. Hussain, B. Barua, A. Osman, R. Abozariba and A. T. Asyhari, "Performance of MobileNetV3 Transfer Learning on Handheld Device-based Real-Time Tree Species Identification," 2021 26th International Conference on Automation and Computing (ICAC), 2021, pp. 1-6, doi: 10.23919/ICAC50006.2021.9594222.
A. Hussain, W. Wu, “Sustainable Interoperability and Data Integration for the IoT-Based Information Systems”. The 2nd International Workshop on Internet of Things and Big Data for Healthcare (IoTBDH 2017). Available at http://www.ieeeconfpublishing.org/cpir/UploadedFiles/SustainableIoTData.pdf
A. Hussain, W. Wu, G. Anzaldi, A. Abecker, “Implementation of OGC Compliant Framework for Data Integration in Water Distribution System”. 13th Computer Control for Water Industry Conference, Procedia Engineering, Vol. 119, 2015, pp. 1366-1374
A. Hussain, W. Wu, G. Anzaldi, A. Abecker, “A Generic Framework to Integrate Water Supply Distribution Systems Using Interoperable Standards”. E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands
G. Anzaldi, W. Wu, A. Abecker, R. Rubion, A. Corchero, A. Hussain, M. Quenzer, “Integration of water supply distribution systems by using interoperable standards to make effective decisions”. In: Proc. of 11st International Conference on Hydroinformatics, 2014.
Ambreen Hussain, “Use of Domain Specific Languages in Test Automation”, 2013, available at https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/8050/Ambreen_Hussain_Thesis_2013.pdf?sequence=1&isAllowed=y
S.Barnes, A. Hussain, A. Mouzakitos, “Automated Testing of a Vehicle Instrument Cluster”, International Conference on Systems Engineering (ICSE2012), September 2012, Coventry, UK