Having obtained a Bachelors degree in Computer Engineering with industrial experience and a MSc in Computer Science, I received my PhD in Telecommunication Engineering from Faculty of Engineering, University of Porto, Portugal. Before joining Sheffield Hallam University as a Lecturer, I was a postdoctoral research associate in the Department of Computer Science, Faculty of Engineering, Liverpool John Moores University, United Kingdom. I have also worked as a Postdoctoral Research Associate at the Institute of Telecommunications and in the Department of Electronics, Telecommunications and Informatics, University of Aveiro, Portugal. For 6 years, I was research engineering at the Centre for Telecommunications and Multimedia, INESC TEC, Porto, Portugal.
Having obtained a Bachelors degree in Computer Engineering with industrial experience and a MSc in Computer Science, I received my Ph.D. in Telecommunication Engineering in 2015 from the Faculty of Engineering, University of Porto, Portugal. I received the INESC TEC grants and the Portuguese’s government Fundacao para Ciencia e a Tecnologia-Foundation for Science and Technology (FCT) full doctoral grants (Bolsa de Deutoramento), 2011- 2015.
I am currently a lecturer in computing in the department of computing, where I teach modules at both undergraduate and postgraduate levels in the Software Engineering and Computer Science subject group.
Before joining Sheffield Hallam University, I was a Postdoctoral Research Associate in the Department of Computer Science, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool. I was also a Postdoctoral Research Associate in the Department of Electronics, Telecommunications and Informatics, University of Aveiro, and the Institute of Telecommunications, Aveiro, Portugal. From 2009 to 2015, I was a Research Engineer at the Centre for Telecommunications and Multimedia, INESC TEC (formerly INESC Porto), Portugal.
In the last 10 years, I have been involved in several research projects such as the H2020 Wise-IoT project, where I was both a task and a work package leader. The outcome of the project was the development of a federated and interoperable IoT platform that ensures end-to-end security and trust for reliable business environments. Another key project participation is the SWARMs project. The project delivered an integrated platform for a new generation of autonomous maritime and underwater operations as a set of software/hardware components for improving autonomy, robustness, cost-effectiveness, and reliability through autonomous vehicle cooperation. My involvement was in the design and implementation of the context sensing and context awareness framework for the project. I also participated and contributed to the MAT (Media Arts and Technology) project at INESC TEC with technical contributions in context-aware mobile multimedia content delivery on smartphones.
As an active researcher, I publish widely in leading thematic peer-reviewed journals and conferences. My current research interests focus on the application of AI/Machine learning, Web services architecture such as microservices, and Edge computing to address real-world problems in healthcare and wellbeing, energy systems, and intelligent mobile information systems.
I have served as a technical committee member for several international conferences and workshops. I am also a peer reviewer for several reputable journals and conferences. I am a Fellow of the Higher Education Academy (FHEA).
Department of Computing
Software Engineering and Computer Science subject group
Programming Concepts and Principle (Module leader)
Networked Software Development (Module leader)
Distributed Programming and Technologies(Module leader)
My research applies artificial intelligence and machine learning within context sensing and context-aware intelligent systems to address real-world problems. Specifically, I am interested in ambient intelligence and context-aware mobile information systems.
In the past, my work has addressed issues in the domain of mobile multimedia systems, providing intelligent mobile multimedia consumptions.
I have also addressed problems related to human activity context recognition and its application in building context-aware personalized mobile user preferences. These involve the deployment of intelligent applications on smart devices.
My current work is exploring the application of AI/Machine learning, Web service architecture, especially Microservices, and Edge Computing to address real-world problems.
As an active researcher, I have published research contributions in thematic journals and book chapters such as the Journal of Network and Computer Applications (JNCA), Journal of Ambient Intelligence and Humanized Computing, Wireless Personal Communications, Sensors, IEEE Access, etc. I have also presented my research work at various international conferences and workshops.
I am happy to supervise both masters and Ph.D. projects in the areas of sensing systems, ambient intelligence, Edge Computing, particulaly the application of AI and Machine learning to address various emerging problems such as healthcare and well being, green energy, smart city, etc.
I was involved in the EU H2020 WiseIoT project. WiseIoT is a collaborative project between Europe and South Korea. It aimed at deepening the interoperability and interworking of IoT existing systems. WiseIoT also aimed to develop federated and interoperable platforms ensuring end-to-end security and trust management for reliable business environments. Building synergies with national and international initiatives in both Europe and South Korea, the project also focuses on standardisation to foster IoT application development and interoperability. I participated as a task and work package leader coordinating the European and South Korean partners in the design and implementation of end to end security and trust management of the project.
I also participated in the SWARMs project. The goal of the EU H2020 SWARMs project was to expand the use of underwater and surface vehicles (AUVs, ROVs, USVs) in order to facilitate conception, planning and execution of maritime and offshore operations and missions. I was involved in the design and implementation of the project’s context aware middleware for ensuring communication and coordination among swarm of underwater robots.
Otebolaku, A., Enamamu, T., Alfoudi, A., Ikpehai, A., Marchang, J., & Lee, G.M. (2020). Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks. Sensors, 20 (13), 3803. http://doi.org/10.3390/s20133803
Abed, M.H., Alsaeedi, A.H., Alfoudi, A.S.D., Otebolaku, A.M., & Razooqi, Y.S. (2020). Palm Vein Identification based on hybrid features selection model. CoRR, abs/2007.16195.
Enamamu, T., Otebolaku, A.M., Marchang, J., & Joy, D. (2020). Continuous m-Health Data Authentication Using Wavelet Decomposition for Feature Extraction. Sensors, 20, 5690.
Enamamu, T., Otebolaku, A., Marchang, J., & Dany, J. (2020). Continuous m-Health Data Authentication Using Wavelet Decomposition for Feature Extraction. Sensors, 20 (19), 5690. http://doi.org/10.3390/s20195690
Marchang, J., Wang, J., Otebolaku, A., Enamamu, T., Porter, D., & Sanders, B. (2019). Multidimensional: User with File Content and Server’s status based Authentication for Secure File Operations in Cloud. Current Trends in Computer Sciences & Applications (CTCSA), 1 (5), 108-118. http://doi.org/10.32474/CTCSA.2019.01.000121
Alfoudi, A., Newaz, S., Otebolaku, A., Lee, G.M., & Pereira, R. (2019). An efficient resource management mechanism for network slicing in LTE network. IEEE Access, 7, 89441-89457. http://doi.org/10.1109/ACCESS.2019.2926446
Otebolaku, A., & Lee, G.M. (2018). A Framework for Exploiting Internet of Things for Context-Aware Trust-Based Personalized Services. Mobile Information Systems, 2018, 1-24. http://doi.org/10.1155/2018/6138418
Otebolaku, A., & Andrade, M.T. (2016). Context-aware personalization using neighborhood-based context similarity. Wireless Personal Communications, 94 (3), 1595-1618. http://doi.org/10.1007/s11277-016-3701-2
Otebolaku, A., & Andrade, M.T. (2016). User context recognition using smartphone sensors and classification models. Journal of Network and Computer Applications, 66, 33-51. http://doi.org/10.1016/j.jnca.2016.03.013
Otebolaku, A., & Andrade, M.T. (2014). Context-aware media recommendations for smart devices. Journal of Ambient Intelligence and Humanized Computing, 6 (1), 13-36. http://doi.org/10.1007/s12652-014-0234-y
Dighriri, M., Otebolaku, A., Alfoudi, A., & Lee, G.M. (n.d.). Slice Allocation Management Model in 5G Networks for IoT Services with Reliable Low Latency. . http://doi.org/10.20944/preprints202007.0536.v1
Alfoudi, A.S.D., Dighriri, M., Otebolaku, A., Pereira, R., & Lee, G.M. (2018). Mobility management architecture in different RATs based network slicing. Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2018, 2018-J (2018-J), 270-274. http://doi.org/10.1109/WAINA.2018.00097
Jayasinghe, U., Otebolaku, A., Um, T.-.W., & Lee, G.M. (2018). Data centric trust evaluation and prediction framework for IOT. Proceedings of the 2017 ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017, 2018-J (2018-J), 1-7. http://doi.org/10.23919/ITU-WT.2017.8246999
Otebolaku, A., & Lee, G.M. (2017). Towards context classification and reasoning in IoT. Proceedings of the 14th International Conference on Telecommunications, ConTEL 2017, 147-154. http://doi.org/10.23919/ConTEL.2017.8000051
Otebolaku, A.M., & Andrade, M.T. (2014). Supporting context-aware cloud-based media recommendations for smartphones. Proceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014, 109-116. http://doi.org/10.1109/MobileCloud.2014.26
Otebolaku, A.M., & Andrade, M.T. (2014). Context-aware media recommendations. Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications Workshops, IEEE WAINA 2014, 191-196. http://doi.org/10.1109/WAINA.2014.40
Otebolaku, A.M., & Andrade, M.T. (2014). Context-aware user profiling and multimedia content classification for smart devices. Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications Workshops, IEEE WAINA 2014, 560-565. http://doi.org/10.1109/WAINA.2014.92
Otebolaku, A.M., & Andrade, M.T. (2014). A Context-Aware Framework for Media Recommendation on Smartphones. Lecture Notes in Electrical Engineering, 302 LNEE, 87-108. http://doi.org/10.1007/978-3-319-05440-7_8
Otebolaku, A.M., & Andrade, M.T. (2013). Recognizing high-level contexts from smartphone built-in sensors for mobile media content recommendation. Proceedings - IEEE International Conference on Mobile Data Management, 2, 142-147. http://doi.org/10.1109/MDM.2013.84
Otebolaku, A., & Andrade, M.T. (2011). Context representation for context-aware mobile multimedia content recommendation. Proceedings of the 15th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2011, 68-75. http://doi.org/10.2316/P.2011.746-004
Otebolaku, A.M., Iyilade, J.S., & Adigun, M.O. (2008). CAAM: A context aware adaptation model for mobile grid service infrastructure. Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008, 419-425. http://doi.org/10.1109/CSEW.2008.37
Otebolaku, A.M., Adigun, M.O., Iyilade, J.S., & Ekabua, O.O. (2007). On modeling adaptation in context-aware mobile grid systems. 3rd International Conference on Autonomic and Autonomous Systems, ICAS'07. http://doi.org/10.1109/CONIELECOMP.2007.90
Otebolaku, A.M., & Andrade, M.T. (2019). Context-Aware Personalization for Mobile Services. In Advances in Computer and Electrical Engineering. (pp. 818-830). IGI Global: http://doi.org/10.4018/978-1-5225-7598-6.ch059
Otebolaku, A., & Andrade, M. (2017). Context-Aware Personalization for Mobile Services. In Khosrow-Pour, M. (Ed.) Encyclopedia of Information Science and Technology, 4th edition. (pp. 6031-6042). IGI-Global: https://www.igi-global.com/book/encyclopedia-information-science-technology-fourth/173015
Otebolaku, A.M., & Andrade, M.T. (2015). Context-Aware Multimedia Content Recommendations for Smartphone Users. In Encyclopedia of Information Science and Technology, Third Edition. (pp. 5658-5666). IGI Global: http://doi.org/10.4018/978-1-4666-5888-2.ch559
As an active member of the research community, I have served as a technical committee member for International conferences and workshops such as the International Conference on Mobile Computing, Networking and Communications, and International Workshop on Pervasive and Context-Aware Middleware.
In addition, I am a reviewer for several reputable journals and conferences such as IEEE Access, IEEE Transactions on Network and Service Management, Journal of Reliable and Intelligent Environments(Springer) Wireless Personal Communications (Springer), Ad Hoc Networks (Elsevier), MDPI Sensors, Electronics, Sustainability, etc. I am also a reviewer for Manning Publications.
I am also an active member of scientific communities such as the Institute of Electrical and Electronics Engineers (IEEE).