Oluwaseun Bamgboye
Oluwaseun Bamgboye

Dr Oluwaseun Bamgboye

Lecturer

Events

Esteem

Conference Organising Activity

  • Session Chair 13th International Workshop on Quality Oriented Reuse of Software (QUORS 2019) as part of IEEE signature COMPSAC Conference, Milwaukee, Wisconsin, USA

 

Fellowships and Awards

  • Associate Fellow Higher Education Academic

 

Invited Speaker

  • Speaker at the Stakeholders’ Meeting on the Nation’s Cybersecurity Challenges Collaboration between Âé¶¹ÉçÇø and Nigeria Computer Âé¶¹ÉçÇø, Ikeja, Lagos, Nigeria.
  • Invited Speaker at the Open Knowledge Edinburgh Meet-up (No. 26)
  • 4) 6th Scottish Linked Data Interest Group Workshop (SLiDInG 6), Earl Mountbatten Building, Herriot-Watt University, Edinburgh, Scotland, U.K

 

Membership of Professional Body

  • Member- British Computer Âé¶¹ÉçÇø
  • Member of SICSA, - the Scottish Informatics & Computer Science Alliance

 

Reviewing

  • Reviewer IEEE International Workshop on Quality Oriented Reuse of Software (QUORS)

 

Date


11 results

Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems

Journal Article
Bamgboye, O., Liu, X., Cruickshank, P., & Liu, Q. (2025)
Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems. Big Data and Cognitive Computing, 9(4), Article 108. https://doi.org/10.3390/bdcc9040108
Ensuring the trustworthiness of data used in real-time analytics remains a critical challenge in smart city monitoring and decision-making. This is because the traditional dat...

Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration

Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June)
Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration. Presented at The 39th International Conference on ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh
The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The...

Towards Building a Smart Water Management System (SWAMS) in Nigeria

Conference Proceeding
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (in press)
Towards Building a Smart Water Management System (SWAMS) in Nigeria.
The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insu...

Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection

Conference Proceeding
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024)
Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection. In Computer Security. ESORICS 2023 International Workshops (125-139). https://doi.org/10.1007/978-3-031-54129-2_8

Towards Improving Accessibility of Web Auditing with Google Lighthouse

Presentation / Conference Contribution
McGill, T., Bamgboye, O., Liu, X., & Kalutharage, C. S. (2023, June)
Towards Improving Accessibility of Web Auditing with Google Lighthouse. Presented at The 47th IEEE Annual Conference on Computers, Software, and Applications (COMPSAC), Turin, Italy
Google Lighthouse is a tool made by Google for auditing web pages performance, accessibility, SEO, and best practices with the intention of improving the quality of the websit...

Semantic model-driven framework for validating quality requirements of Internet of Things streaming data

Thesis
Bamgboye, O. O. Semantic model-driven framework for validating quality requirements of Internet of Things streaming data. (Thesis)
Âé¶¹ÉçÇø. Retrieved from http://researchrepository.napier.ac.uk/Output/2855298
The rise of Internet of Things has provided platforms mostly enhanced by real-time data-driven services for reactive services and Smart Cities innovations. However, IoT stream...

Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation

Conference Proceeding
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (in press)
Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.
In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system a...

Semantic Stream Management Framework for Data Consistency in Smart Spaces

Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2019)
Semantic Stream Management Framework for Data Consistency in Smart Spaces. https://doi.org/10.1109/COMPSAC.2019.10188
Semantic technology can provide a bridge between smart applications and Internet of Things (IoT) to enable possible integration and interoperability of data produced by hetero...

Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces.

Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2018)
Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC)https://doi.org/10.1109/COMPSAC.2018.10330
Smart Spaces currently benefits from Internet of Things (IoT) infrastructures in order to realise its objectives. In many cases, it demonstrates this through certain automated...

An empirical evaluation of security tips in phishing prevention: A case study of nigerian banks

Journal Article
Abiodun Orunsolu, A., Sodiya, A., Akinwale, A., Olajuwon, B., Alaran, M., Bamgboye, O., & Afolabi, O. (2017)
An empirical evaluation of security tips in phishing prevention: A case study of nigerian banks. International Journal of Electronics and Information Engineering, 6(1), 25-39. https://doi.org/10.6636/IJEIE.201703.6%281%29.03
To shield users from phishing scams, various online brands send security tips as email, SMS and online posts to their customers. This paper presents the first empirical eviden...

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