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Bio
Dr. Otebolaku is an experienced University academic, currently a Senior Lecturer (assistant professor), and a researcher in Computing at Sheffield Hallam University, (SHU), Sheffield, United Kingdom. At SHU, he teaches and leads modules at both undergraduate (Software Engineering and Computer Science) and postgraduate (Big Data Analytics) levels.
He studied Computer Engineering and Computer Science in Nigeria and South Africa respectively, before receiving the PhD in Electrical and Computer Engineering (Telecommunication Engineering) from the Electrical and Computer Engineering department, Faculty of Engineering, University of Porto, Portugal.
Prior studying for Postgraduate degrees, he worked in the ICT industry as a Systems Engineer. Besides, before joining Sheffield Hallam University, he was a Postdoctoral Research Associate in the Department of Computer Science, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, U.K.
In addition, he was 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, he was Research and development Engineer at the Centre for Telecommunications and Multimedia, INESC TEC (formerly INESC Porto), also in Portugal.
He is an active researcher with participation in several research projects, including European H2020 Projects. His research focuses broadly on mobile and pervasive computing, and specifically on context awareness, activity context recognition, mobile data management, and IoT-driven personalized services.
He is the recipient of various scholarships and grants. For example, he received the INESC TEC grants for doctoral research from 2009 to 2011. He also received the Portuguese’s government Fundacao para Ciencia e a Tecnologia (Foundation for Science and Technology, FCT) full doctoral grants (Bolsa de Deutoramento) from 2011 to 2015. Dr Otebolaku also received grants for his M.Sc. in Computer Science at the Centre of Excellence for Mobile e-Services for Development, Department of Computer Science, the University of Zululand, South Africa. He is also a recipient of Microsoft travel grants.
Research
His research applies artificial intelligence (AI) and machine learning (ML) within context sensing systems to address real-world problems, focusing on ambient intelligence, context-awareness, and mobile data management. Specifically, his work has addressed various problems in the domain of mobile multimedia systems, providing intelligent mobile multimedia delivery and consumptions using intelligence obtained from smartphone sensory data. He is also interested in "Trustworthy Edge Intelligence".
He has also addressed problems related to human activity context recognition and its applications in building context-aware personalized user preferences. These involve the deployment of intelligent applications on smart devices.
His current work focuses on the application of AI/Machine learning, Edge Computing, and Software Engineering to address real-world problems in energy, healthcare, and environments.
If you have similar research interests, and you want to study for a PhD or an M.Sc., he is happy to supervise both masters and PhD projects in the areas of context sensing systems, ambient intelligence, Trust-aware systems, Edge Computing, mobile data analytics, particularly the application of AI and Machine learning to various emerging real-world problems.
In the publication section, you will see his peer-reviewed, published journal articles, conference papers, and book chapters. Also, in the research section, you will see details of his current research interests.
Special Issues|(SI):
IoT, Edge Computing and AI: Enabling Emerging Intelligent Applications, MDPI Electronics
SDN-Enabled Sensing in Smart Infrastructure, MDPI Sensors
Conference Technical Committee
10th International Conference on Frontiers of Signal Processing (ICFSP 2025 ) , Paris, France. Track Chair : Intelligent Image Processing and Multimedia Technology
10th International Conference on Frontiers of Signa Processing, Paris, France, 2025.
The 5th Asian Symposium on Signal Processing, 2024, Singapore.
9th International Conference on Frontiers of Signal Processing (ICFSP 2024 ) , Paris, France.
Technical Programme committee, 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2023)
5th International Workshop on Pervasive and Context-Aware Middleware (PerCAM 17), Rome, Italy.
Technical Reviewer for IEEE Sensors Conference (2019)
Technical Committee member, 6th International Conference on of Signal Processing (ICFSP 2021), Paris.
Technical Programme Committee member of ICFSP (Frontier for signal processing) conference, Paris 2021
Technical programme committee 2021 IEEE 94th Vehicular Technology Conference.
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