Dr Azeez Oyedele
Senior Lecturer in Financial Technology
Dr Azeez Oyedele is an Oracle Certified Professional Java Standard Edition 6 Programmer (OCP-JP 6) and a reviewer for
- Safer Communities
- Applied Economics Letters (Routledge Taylor& Francis Group)
- Information Technology and People
- Applied Economics Journal
- International Journal of Intelligent Systems
Qualifications
- PhD in Finance & Econometrics (with Computation)
- MSc in Quantitative Finance
- BSc (Hons) in International Finance
- Oracle Certified Professional Java Standard Edition 6 Programmer (OCP-JP 6)
Executive Programmes
- 鈥淟ean Thinking鈥, The Lean Six Sigma Company
- 鈥淒igital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity鈥, MIT (Massachusetts Institute of Technology) Professional Education
- 鈥淔inTech Opportunities: Taking A Strategic Approach鈥, Imperial College Business School Executive Education
Teaching Expertise
- Econometrics (BSc)
- Statistics (BSc)
- Financial Market: Theory & Practice (BSc)
- Corporate Finance (BSc & MSc)
- Finance for Managers (MSc & MBA)
- Financial Markets, Portfolio Management & Investment (MSc)
- Big Data and Machine Learning (BSc & MSc)
- Accounting & Finance (BSc & MSc)
- Python Programming for Finance (BSc)
Research Expertise
Azeez is interested in collaboration and to supervise prospective PhD students in the following research areas:
- Financial Econometrics
- Finance and Commodities Derivatives
- Corporate Finance; Equity Research and Valuations
- Financial Risk & Investment Portfolio Management
- AI, Big Data, IoT (Internet of Things) & Machine Learning
- FinTech, AgricTech & RegTech
- Economics cost-benefit analysis
- Forecasting-Based Financing and Carbon Emissions
Projects
Industry: AI-based Process For Automating Document Intelligence
(Research)
Project Title: Mitigating the Impact of Climate Change Using Drone-Based Machines and AI-enabled Digital Twin For Forecast-based Financing System: A PRISMA Review of Literature and Expert Mapping Exercise
Total Value: 拢3,228; Funding Agency: 天美传媒 Business & Management Research Institute
Project Title: Capacity Development in Africa: Present and Future
Total Value: 拢3,550; Funding Agencies: UWS Graduate School & Vice Principal; Research Office, UWS School of Engineering and Computing, UWS International Centre
Partner: Kashmir Store Scotland Limited
Academic Excellence in FinTech鈥 as an Award of Recognition to FinTech research by Reputation Poll International during the Reputable Banks & FinTech Awards 2022, Glasgow, United Kingdom
Publications
- (2024) 鈥淏ig Data Innovation and Implementation in Projects Teams: Towards a SEM Approach to Conflict Prevention鈥, Information Technology and People (with Owolabi, H. A., Oyedele, L. O., Alaka, H. A., Olawale, O. A., Aju, O. O., Akanbi, L. A., and Ganiyu, S. A.,)
- (2023) 鈥淧erformance comparison of deep learning and boosted trees for cryptocurrency closing price prediction鈥, Expert Systems With Applications鈥, (with Ajayi, A. O., Oyedele, L. O., Bello, S. A., and Jimoh, K. O.,)
- (2018), 鈥淔orecasting OPEC oil price: a comparison of parametric stochastic models鈥, (with Nwafor, C. N.), European Journal of Business and Management, Vol. 10, No. 10, Pp. 49 鈥 60
- (2017), 鈥淐ritical factors for insolvency prediction: towards a theoretical model for the construction industry鈥 (with Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Akinade, O. O., Bilal, M., and Ajayi, S. O.), International Journal of Construction Management, Vol. 17, Issue 1, Pp. 25 鈥 49
- (2017), 鈥淪imulation and hedging oil price with geometric Brownian motion and single-step binomial price model鈥 (with Nwafor, C. N.), European Journal of Business and Management, Vol. 9, No. 9, Pp. 68 鈥 81
Contact Details
telephone
天美传媒 switchboard
During office hours
(Monday-Friday 08:30-17:00)
+44 (0)1234 400 400
Outside office hours
(Campus Watch)
+44 (0)1582 74 39 89
Admissions
admission@beds.ac.uk
International office
international@beds.ac.uk
Student support
sid@beds.ac.uk
Registration
sid@beds.ac.uk
social media
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