Our team - BSBI

Our team

Dr. Karim Mohamed Farag Shehata

Dr Karim Shehata is a Lecturer in Finance and Accounting with over 13 years of combined experience in academia and the financial industry. He currently lectures at the Berlin School of Business and Innovation (BSBI) in Berlin, Germany, where he delivers a range of advanced modules across MSc and MBA programmes. He holds a PhD in Business Administration (Finance), a Master of Science in Investment Management, and a Bachelor of Science in Accounting.

Overview

Dr Karim Shehata is a Lecturer in Finance and Accounting with over 13 years of combined experience in academia and the financial industry. He currently lectures at the Berlin School of Business and Innovation (BSBI) in Berlin, Germany, where he delivers a range of advanced modules across MSc and MBA programmes. He holds a PhD in Business Administration (Finance), a Master of Science in Investment Management, and a Bachelor of Science in Accounting.

Dr Shehata has more than eight years of university teaching experience, educating undergraduate and postgraduate students in finance, accounting, and investment. His academic career is strengthened by his professional experience in both the banking and consultancy sectors, where he applied financial theory to real-world practice.

In the banking industry, Dr Shehata spent over four years overseeing operational processes, ensuring compliance, and managing customer service functions. He subsequently transitioned into consultancy, where he provided strategic financial modelling, supported mergers and acquisitions (M&A), and conducted risk analysis using Excel and Python.

As a certified Training of Trainers (ToT) professional, he has conducted professional development workshops on financial literacy, risk management, project management, and digital competence for academic and administrative staff.

Dr Shehata is also an active peer reviewer for several Scopus-indexed journals, including International Journal of Financial Studies (IJFS), Journal of Risk and Financial Management (JRFM), Risks, FinTech, and Cogent Business and Management. He is a member of the Editorial Review Board for the Asian Economic and Financial Review, contributing to the maintenance of academic excellence and research quality.

Bridging the gap between theory and practice, Dr Shehata integrates industry insights into his teaching, inspiring students to apply analytical and technological tools in solving complex financial challenges. His ongoing research and publications continue to advance the understanding of risk management, financial innovation, and the application of machine learning in finance.

Areas of expertise

  • Bank Operations and Risk Management
  • Financial Consultancy
  • Corporate Training
  • University Teaching in Finance

Awards and Honours

  • Certificate of Recognition, October University for Modern Sciences and Arts (MSA) – Outstanding performance as an internal trainer.
  • Certificate of Appreciation, Alexandria University – Outstanding research participation in the ICT in Our Lives conference.
  • Certificate of Appreciation, Arab Academy for Science, Technology and Maritime Transport (AASTMT) – Academic excellence, ranked first in class.
  • Certificate of Appreciation, Pharos University in Alexandria (PUA) – Academic excellence, ranked first in class.

Research interests

  • Corporate Finance
  • FinTech
  • Risk Management
  • Machine Learning in Finance
  • Credit Risk
  • Banking

Publications

  • Farag, K., Ali, L., Mutai, N.C. et al. (2025). Machine Learning for Predicting Bank Stability: The Role of Income Diversification in European Banking. FinTech, 4(2), 21.
  • Salman Abdou, D.M., Farag, K., and Ali, L. (2025). Detecting Credit Risk in Egyptian Banks: Does Machine Learning Matter? Economics/Ekonomika, 104(2).
  • Hamada, M.A., Farag, K., and Abiche, A.E. (2025). Early Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms. Emerging Science Journal, 9(2), 995–1012.
  • Mutai, N.C., Farag, K., Ibeh, L. et al. (2025). AI-Driven Fiscal Risk Assessment in the Eurozone: A Machine Learning Approach to Public Debt Vulnerability. FinTech, 4(3), 27.
  • Shehata, K. and Ali, L. (2025, January). Early Prediction of Bank Performance Using Machine Learning Algorithms. In International Conference on Mathematical Modelling and Computational Science (pp. 27–40). Springer Nature Switzerland.
  • Farag, K.M. (2025). The Carbon Border Adjustment Mechanism (CBAM): A New Approach to Climate Change Regulation and Its Implications for National Security, Labour, Trade, and Data Flows. MSA Management Sciences Journal, 4(2), 105–123.
    (Full publication list available on request.)

Conferences, Talks, and Speaking Engagements

  • Shehata, K. and Ali, L. (2025, January). Early Prediction of Bank Performance Using Machine Learning Algorithms. International Conference on Mathematical Modelling and Computational Science, Springer Nature Switzerland.
  • Guest Speaker, Faculty of Economics and Business Administration, BSBI (2025) – “The Crucial Macroeconomic and Microeconomic Determinants of Retail and Corporate Credit Risks.”
  • Guest Speaker, Faculty of Biotechnology, MSA University (2023) – “Budgeting for Biotech Projects.”
  • Speaker, Pharos International Conference of Business Innovation and Economic Sustainability Challenges (2019).
  • Hamada, M.A. and Farag, K.M. (2015). “The Role of ERP Systems in Expanding Value Added in Business Organisations.” Fifth International Conference on ICT in Our Lives.