Zeinab Amin is a professor in the Department of Mathematics and Actuarial Science and the associate provost for assessment and accreditation. Amin holds a PhD in statistics, is an associate of the American Society of Actuaries (SOA) and a certified actuarial expert at the Egyptian Financial Supervisory Authority (EFSA).
Amin is the recipient of the 2016 Excellence in Academic Service Award and the 2009 Excellence in Teaching Award from AUC.
Amin has designed and taught a wide range of courses in statistics, applied probability, life contingencies, construction and evaluation of actuarial models and enterprise risk management.
Recent Refereed Publications
Salem, M., Amin, Z. and Ismail, M. (2020). “Progressively Censored Reliability Sampling Plans Based on Mean Product Lifetime,” Sankhya B, 82, 1-33.
Amin, Z. (2019). “A Practical Road Map for Assessing Cyber Risk,” Journal of Risk Research, 22, 32-43.
Salem, M., Amin, Z. and Ismail, M. (2018). “A Prediction Interval Approach to Developing Life Test Acceptance Criteria for Progressively Censored Data,” International Journal of Reliability and Safety, 12, 279-291.
Salem, M., Amin, Z. and Ismail, M. (2018). “Designing Bayesian Reliability Sampling Plans for Weibull Lifetime Models Using Progressively Censored Data,” International Journal of Reliability, Quality & Safety Engineering, 25 (3). Published online January 25, 2018
Amin, Z. (2016). “Quantification of Operational Risk: A Scenario-Based Approach,” North American Actuarial Journal, 20, 286-297
Amin, Z. and Salem, M. (2015), “Bayesian Modeling of Health Insurance Losses,” Journal of Applied Statistics, 42, 231–251.
Chapters in Peer-Reviewed Books
Book Reviews in Refereed Journals
Amin, Z. (2014). “Operational Risk Modelling and Management by Claudio Franzetti,” Journal of Risk and Insurance, 81, 969–973.
2018: Life Mentorship Program Award of Excellence (AUC)
2016: Certificate of appreciation of exceptional efforts to drive implementation of the Provost's Teaching Enhancement Initiative (AUC)
2016: Excellence in Academic Service Award (AUC).
2013: Educational Institution Grant for the promotion and development of educational and research programs in actuarial science (SOA)
2012: Elected member of the International Statistical Institute (ISI)
2009: Excellence in Teaching Award (AUC).
2009: Outstanding Teaching Award, School of Sciences and Engineering (AUC).
2005: Outstanding Undergraduate Teaching Award, Faculty of Economics and Political Science, Cairo University.
2005: Outstanding Graduate Teaching Award, Faculty of Economics and Political Science, Cairo University.
1996-1997: British Chevening scholarship, School of Mathematics and Statistics, University of Sheffield.
1993-1994: Ford Foundation Scholarship, School of Mathematics and Statistics, University of Sheffield.
1983, 1984, 1985 & 1986: Highest Ranking Student Award, Faculty of Economics and Political Science, Cairo University.
- MACT 1221 Statistical Reasoning
- MACT 3211 Applied Probability
- MACT 3223 Statistical Inference
- MACT 3224 Probability and Statistics
- MACT 4331 Insurance Loss Models I
- MACT 4332 Insurance Loss Models II
- MACT 4930 Selected Topics in Math
- MACT 4910 Guided Studies in Mathematics
- MACT 4321 Life Contingencies I
- MACT 4322 Life Contingencies II
- MACT 4990 Enterprise Risk Management
Associate of the Society of Actuaries (SOA) requirements completed:
- Associateship Professionalism Course (APC)
- Fundamentals of Actuarial Practice (FAP)
- VEE in Applied Statistics
- VEE in Economics
- VEE in Corporate Finance
- P Exam (Probability)
- FM Exam (Financial Mathematics)
- MFE Exam (Actuarial Models-Financial Economics)
- MLC Exam (Actuarial Models-Life Contingencies)
- C Exam (Construction and Evaluation of Actuarial Models)
Member of the Committee on Risk Analysis International Statistical Institute (CRA-ISI)
Associate of the Conference of Consulting Actuaries (ACA)
Certified Actuarial Expert at the Egyptian Financial Supervisory Authority (EFSA)
Member of the Egyptian Society of Actuaries (ESOA)
Member of the International Actuarial Association (IAA)
Member of the Society of Actuaries (SOA)
Elected member International Statistical Institute (ISI)
Amin’s current area of research focuses primarily on quantitative risk assessment, highlighting the power of developing an effective enterprise risk management framework in an organization, a framework that overcomes the challenges that prevent traditional risk programs from achieving their full potential. Amin emphasizes the importance of adopting new methodology for operational risk assessment, methodology that allows for better understanding of the shock resistance of the company to its key risks, developing an appropriate risk management environment, making better risk-adjusted decisions and ensuring appropriate actions are implemented to better manage enterprise risk exposure to be within its risk appetite.