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Dr Abayomi Otebolaku

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Dr Abayomi Otebolaku BSc, MSc, PhD, FHEA

Senior Lecturer


Summary

Currently, I'm a Senior Lecturer in computing in the Department of Computing, Sheffield Hallam University where I teach modules (Distributed programming & technologies and Data Analytics at both undergraduate and postgraduate levels) in Software Engineering and Computer Science.

My research interest is within the broad span of mobile/pervasive and distributed computing, specifically within context-awareness, activity context recognition, mobile data management, and IoT-driven service personalization using machine learning and AI. My 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.

My research work has been applied in several research projects including European H2020 projects.

About

I am a Senior Lecturer in Computing and a researcher in the Department of Computing Sheffield Hallam University (SHU), Sheffield, United Kingdom. At SHU, I teach and lead modules at both undergraduate and postgraduate levels.

I received BSc and MSc in Computer Engineering and Computer Science respectively. In addition, I received the PhD in Electrical and Computer Engineering (Telecommunication Engineering) from the Electrical and Computer Engineering department, Faculty of Engineering, University of Porto, Portugal.

Prior to studying for Postgraduate degrees, I worked in the ICT industry as an Engineer. Besides, before joining Sheffield Hallam University, I was Postdoctoral Research Associate in the Department of Computer Science, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, U.K. I was also 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 Research and Development Engineer at the Centre for Telecommunications and Multimedia, INESC TEC (formerly INESC Porto) also in Portugal. I received the INESC TEC grants for doctoral research, from 2009 to 2011. From 2011 to 2015. I also received the Portuguese’s government prestigious Fundacao para Ciencia e a Tecnologia (Foundation for Science and Technology, FCT) full doctoral grants (Bolsa de Deutoramento).

I'm an active researcher with participation in several research projects, including European H2020 Projects where my research. My research focuses broadly on mobile and pervasive computing, and specifically on context awareness, activity context recognition, mobile data management, and the IoT-driven personalized services. I have published widely in leading thematic peer-reviewed international journals and conferences. In addition, I have served as a technical committee member for several international conferences and workshops and as guest editor for reputable thematic journals. I am also a peer reviewer for several reputable journals and conferences.

I am passionate about the application of Artificial Intelligence (AI) and Machine Learning (ML) within context-aware systems to address real-world problems, focusing on ambient intelligence, context sensing and mobile data management. In the past, I have addressed various problems in the domain of context-aware mobile multimedia systems, providing intelligent mobile multimedia delivery and consumptions using intelligence obtained from smartphone sensory data. Besides, I have addressed problems related to human physical activity context recognition and its applications in building context-aware personalized user preferences. These involve the design, development, and deployment of intelligent applications on smart devices. My current work focuses on using AI/Machine learning, Edge Computing and Software Engineering to address real-world problems in energy, healthcare, and environments.

My main teaching interests are in Computer Science and Software Engineering including Distributed Programming, AI/Machine Learning and Data Science.

I am a Fellow of the Higher Education Academy (FHEA) and a member of IEEE.

Senior Lecturer

Teaching

Department of Computing

Business, Technology and Enterprise

In the last 12 years, I have been involved in several research projects such as:

The H2020 Wise-IoT project. 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.

The H2020 SWARMs project. The project delivered an integrated platform for a new generation of autonomous maritime and underwater robotic 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.

The MAT (Media Arts and Technology) an EU project at INESC TEC with technical contributions in context-aware mobile multimedia content delivery using smartphone sensors.

Computer Science and Software Engineering

BSc Computer Science, B.Eng Software Engineering and MSc Big Data Analytics

  • Networked Software Development
  • Programming Concepts and Practice
  • Distributed Programming and Technologies
  • Mobile App development on the Android platform
  • Software Projects

Research

My research interest is within the broad span of mobile/pervasive and distributed computing. Specifically, it lies within context-aware computing (context-awareness, smart context sensing and recognition), mobile data management, and IoT-driven personalisation using machine learning and AI.

I am passionate about the following areas:

  • Context sensing and high-level context influence using Semantic Web and deep learning algorithms
  • Context-aware human activity recognition on Edge/IoT devices
  • Explainable and personalised sensor based human activity recognition
  • Advanced trust evaluation and predictions for IoE
  • Context-aware personalised recommendation systems
  • Personalised recommendation services in healthcare systems   

WiseIoT
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.

SWARMs
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.

Publications

Key Publications

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., & 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

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. (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.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

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

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., 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

Journal articles

Otebolaku, A., & Omolaja, A. (2022). Context-Aware Complex Human Activity Recognition using Hybrid Deep Learning Models. . http://doi.org/10.20944/preprints202203.0363.v1

Mosa, Q.O., Alfoudi, A.S., Brisam, A.A., Otebolaku, A., & Lee, G.M. (2022). Driving Active Contours to Concave Regions. Webology, 19 (1), 5131-5140. http://doi.org/10.14704/web/v19i1/web19345

Alfoudi, A., Alsaeedi, A., Abed, M., Otebolaku, A., & Razooqi, Y. (2021). Palm Vein Identification Based on Hybrid Feature Selection Model. International Journal of Intelligent Engineering and Systems, 14 (5), 469-478. http://doi.org/10.22266/ijies2021.1031.41

Enamamu, T., Otebolaku, A.M., Marchang, J., & Joy, D. (2020). Continuous m-Health Data Authentication Using Wavelet Decomposition for Feature Extraction. Sensors, 20, 5690. http://doi.org/10.3390/s20195690

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

Dighriri, M., Otebolaku, A., Alfoudi, A., & Lee, G.M. (2020). Slice Allocation Management Model in 5G Networks for IoT Services with Reliable Low Latency. . http://doi.org/10.20944/preprints202007.0536.v1

Otebolaku, A., Enamamu, T., Alfouldi, A., Ikpehai, A., & Marchang, J. (2020). Deep Sensing: Inertia and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks. . http://doi.org/10.20944/preprints202005.0430.v1

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

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

Conference papers

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

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. (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

Book chapters

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

Other activities

I am a Topic and Guest Editor for MDPI International Journal of Electronics, and I am also an invited reviewer for Manning Publications.

Postgraduate supervision

Interested and prospective PhD candidates are welcome to contact me.

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