Senior Lecturer of Computer Science (Data Science)
I am a Senior Lecturer in the Faculty of Technology, teaching MSc and BSc students in networking and data science modules, supervising PhD students, and developing new modules. I've received several awards, such as the TOP10 2021 MDPI Future Internet High Cited Series paper for my work on 6G, Champion of Champions award from the Royal Academy of Engineering, and the best MSc project.
I received my BSc, MSc, and PhD from the University of Greenwich in 2013, 2014, and 2019. I have a postgraduate certificate in Learning, Teaching and Assessment Practice in Higher Education from Edinburgh Napier University, which awarded me a Fellowship to the Higher Education Academy (FHEA).
I worked as a Lecturer at the School of Engineering and Built Environment at Edinburgh Napier University. Prior to that, I worked as a research assistant at the University of Greenwich working on machine learning algorithms for non-destructive flaw detection in pipes. During my PhD in 2018, I was a visiting scholar at the University of Cambridge. In 2014, I was a Research Fellow at the University of Greenwich working on a project titled "Towards 5G: Air Interface Techniques" which was a collaboration with British Telecom (BT).
My background is in communication engineering and my research interests include data science, time-series forecasting, wireless communication, real-time systems, information freshness, Internet of things, mathematical modelling, and applying machine learning solutions to real-world problems, such as sustainability and healthcare applications.
Throughout my research career, I have published several papers in top journals and conferences. The papers are a result of several collaborations I've developed with scholars from world-leading institutes from the UK and internationally: University of Cambridge, University of Oxford, University of Glasgow, University of Kent, and Ajman University UAE.
Teaching and supervision
- Data Science Fundamentals
- Technology Management for Organisations
- Programming Virtual Networks
- Internet of Things
Research interests for potential research students
Currently accepting self-funded PhD students to work on Machine Learning, Artificial Intelligent Energy systems, Wireless Communication, 5/6 G Wireless networks, Internet of Things.
Current PhD Students:
- Bamidele Ajayi, Project title 'Preserving the integrity of binary programs Using Deep Neural Networks'.
- David Graham Fueggle, Project title 'Enhanced early detection of patient deterioration in hospitals'.
- Data Science
- Real time Communication
- Information Freshness
- Computer Vision
- Forecasting Algorithms
Bendiek, Paula, Taha, Ahmad, Abbasi, Qammer H. and Barakat, Basel (2021) Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation. Applied Sciences, 12 (1). p. 134. ISSN 2076-3417
Taha, Ahmad, Taha, Mohammad M.A. and Barakat, Basel (2021) AI-Based Fall Detection Using Contactless Sensing. 2021 IEEE Sensors. ISSN 2168-9229
Kahwash, Fadi, Barakat, Basel, Taha, Ahmad, Abbasi, Qammer H. and Imran, Muhammad Ali (2021) Optimising Electrical Power Supply Sustainability Using a Grid-Connected Hybrid Renewable Energy System—An NHS Hospital Case Study. Energies, 14 (21). p. 7084. ISSN 1996-1073
Barakat, Basel, Taha, Ahmad, Samson, Ryan, Steponenaite, Aiste, Ansari, Shuja, Langdon, Patrick M., Wassell, Ian J., Abbasi, Qammer H., Imran, Muhammad Ali and Keates, Simeon (2021) 6G Opportunities Arising from Internet of Things Use Cases: A Review Paper. Future Internet, 13 (6). p. 159. ISSN 1999-5903
KINKIRI, Saritha, BAKARAT, Basel and KEATES, Simeon (2020) Identification of a Speaker from Characteristics of a Voice. Sensors & Transducers, 244 (5). pp. 7-12. ISSN 2306-8515
Barakat, Basel, Keates, Simeon, Wassell, Ian J. and Arshad, Kamran (2019) Modelling IoT devices communication employing representative operation modes to reveal traffic generation characteristics. International Journal of Parallel, Emergent and Distributed Systems, 36 (2). pp. 117-129. ISSN 1744-5760
Barakat, Basel, Keates, Simeon, Wassell, Ian and Arshad, Kamran (2019) Is the Zero-Wait Policy Always Optimum for Information Freshness (Peak Age) or Throughput? IEEE Communications Letters, 23 (6). pp. 987-990. ISSN 1089-7798
Barakat, Basel, Steponenaite, Aiste, Lall, Gurprit S., Arshad, Kamran, Wassell, Ian J. and Keates, Simeon (2020) Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application. In: Universal Access in Human-Computer Interaction. Applications and Practice. Springer, pp. 479-492. ISBN 9783030491079
Kinkiri, Saritha, Barakat, Basel and Keates, Simeon (2020) Phonemes: An Explanatory Study Applied to Identify a Speaker. In: Machine Learning, Image Processing, Network Security and Data Sciences. Springer, pp. 58-68. ISBN 9789811563171
Barakat, Basel, Keates, Simeon, Wassell, Ian and Arshad, Kamran (2019) Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios. In: Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments. Springer, pp. 419-430. ISBN 9783030235628
Conference or Workshop Item
Barakat, Basel, Hall, Lynne and Keates, Simeon (2022) Integrating Machine Learning with Augmented Reality for Accessible Assistive Technologies. In: Universal Access in Human-Computer Interaction. User and Context Diversity.
Barakat, Basel, Steponenaite, Aiste, Lall, Gurprit S., Arshad, Kamran, Wassell, Ian J. and Keates, Simeon (2020) Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application. In: International Conference on Human-Computer Interaction, 19-24 Jul 2020, Copenhagen, Denmark.
Aramide, Samuel O., Barakat, Basel, Wang, Yi, Keates, Simeon and Arshad, Kamran (2019) Generalized proportional fair (GPF) scheduler for LTE-A. In: 2017 9th Computer Science and Electronic Engineering (CEEC).
Barakat, Basel, Yassine, Hachem, Keates, Simeon, Wassell, Ian and Arshad, Kamran (2019) How to Measure the Average and Peak Age of Information in Real Networks? In: European Wireless 2019; 25th European Wireless Conference.
Barakat, Basel, Keates, Simeon, Arshad, Kamran and Wassell, Ian J (2019) Deriving machine to machine (M2M) traffic model from communication model. In: 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT).
Sharsheer, Mohammad, Barakat, Basel and Arshad, Kamran (2016) Coverage and capacity Self-Optimisation in LTE-Advanced using Active Antenna Systems. In: 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).
Barakat, Basel and Arshad, Kamran (2015) Energy efficient scheduling in LTE-advanced for Machine Type Communication. In: 2015 International Conference and Workshop on Computing and Communication (IEMCON).
Barakat, Basel and Arshad, Kamran (2015) An adaptive hybrid scheduling algorithm for LTE-Advanced. In: 2015 22nd International Conference on Telecommunications (ICT).
Barakat, Basel and Arshad, Kamran (2015) Energy efficient carrier aggregation for LTE-Advanced. In: 2015 IEEE 8th GCC Conference Exhibition.
- Machine Learning
- Forecasting Algorithms
- Internet of Things
- Information Freshness