Research output per year
Research output per year
Professor, Chair in Finance & Banking, and Director of Research & Knowledge Exchange
Accepting PhD Students
PhD projects
Primary Research Interests:
- Credit scoring modelling techniques
- Fintech Advancement
- Credit risk management in financial institutions, especially applications of AL and ML e.g. neural networks and genetic programming in banking and finance
- Islamic banking and finance
Secondary Research interests:
- Capital structure, especially for financial institutions
- Corporate governance, especially in relation to banking risks and rating issues
- Value relevance of accounting information
Willing to speak to media
Professor Hussein A. Abdou is Chair in Finance & Banking, and Director of Research & Knowledge Exchange at the Accounting & Financial Management Department within Newcastle Business School (NBS). Hussein’s academic background is in Finance and Banking, where he is widely published in highly impactful international peer reviewed journals, resulting of more than 50 journal articles. In addition to his academic prowess, Hussein demonstrates profound expertise in building scoring models for banks, FinTech advancements, applying AI and ML, Business Analytics, and evaluating software suites tailored for the U.S. financial sector. Hussein is an experienced Professor with a demonstrated history of working in the Higher Education Industry and Managing research and knowledge exchange activities. He is skilled researcher who freshly applies Artificial Intelligence (AI) & Machine Learning (ML) modelling techniques and methodologies into Banking, Finance and Accounting research.
Before joining NBS, Hussein illuminated the role of the Faculty of Business & Justice Director of Research & Innovation and professor of Banking & Finance at UCLan. He also worked at The Manchester Metropolitan Business School where he was a Professor of Banking & Finance and RKE lead. Prior to that, he was a Professor of Finance and Banking, and Director of Graduate Education in The Huddersfield University Business School. He held various positions prior to joining Huddersfield, including a Lecturer/Senior Lecturer/Reader at the University of Salford Business School. He previously worked at The University of Plymouth Management School, where he completed his PhD in Banking and Finance; and Mansoura University, Egypt.
Hussein is particularly renowned for his groundbreaking work in Banking and Finance, covering diverse topics like credit scoring modelling techniques, risk management in financial institutions, Islamic banking and finance, and applications of non-parametric modelling techniques such as neural networks and genetic algorithms in banking and finance. His professional background is in building scoring models for banks in a number of developing and emerging markets including Egypt, Cameroon, Vietnam, Libya and India; FinTech advancement; and evaluating software packages for financial applications. He is also a professional trainer who has extensive experience in delivering professional training courses worldwide in various areas including FinTech; Business Analytics; Islamic Banking, Finance and Economics; Risk Management, Big Data Analytics in Banking and Finance; and Scoring Modelling Techniques. Extending his reach beyond research and academia, Hussein holds esteemed positions on several editorial boards and has showcased his research insights at numerous international forums/events across different countries, and He is the Editor of the Cogent Banking & Finance Section with the Taylor & Francis Group.
Hussein has extensive experience of teaching at all levels in higher education and has significant strengths in all relevant areas including curriculum development, module leadership, programme management and administration, team management, quality assurance, teaching, learning and assessment, innovation and reflective practice. His leadership skills have been ably demonstrated through the development and management of various modules and programmes. As a result, he has successfully developed both MSc Islamic Banking & Finance at Salford University, UK; and MSc Islamic Finance & Economics at Huddersfield University, and more recently MSc FinTech at MMU and UCLan.
At the core of his teaching philosophy lies the belief in comprehensive education. Hussein has taught a plethora of modules, catering to a wide audience ranging from undergraduates to professionals in banking, finance, and accounting. His teachings encompass pivotal areas like Risk Management, FinTech, Corporate Finance, Islamic Finance, Quantitative Finance, and Business Accounting, amongst others.
Scoring Modelling Techniques; Financial Technology (FinTech); Big Data Analytics; Business Analytics; Artificial Intelligence (AI); Risk Management; Islamic Banking Performances.
A global thought leader in banking and finance, Professor Abdou's research interests are vast, delving deep into:
Primary Research Interests:
- Credit scoring modelling techniques
- Fintech Advancement
- Credit risk management in financial institutions, especially applications of AL and ML e.g. neural networks and genetic programming in banking and finance
- Islamic banking and finance
Secondary Research interests:
- Capital structure, especially for financial institutions
- Corporate governance, especially in relation to banking risks and rating issues
- Value relevance of accounting information
Selected Publications:
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education, External Verified Award, FHEA
Award Date: 1 Nov 2014
Finance and Banking, PhD, Credit scoring models for Egyptian banks : neural nets and genetic programming versus conventional techniques, University of Plymouth
1 Oct 2004 → 30 Apr 2009
Award Date: 30 Apr 2009
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review