amin

Zeinab
Amin

Position
Professor and Associate Dean for Undergraduate Studies
Department
Department of Mathematics and Actuarial Science

Profile

Brief Biography

Zeinab Amin is a professor in the Department of Mathematics and Actuarial Science, the director of the Actuarial Science Program and the associate dean for Undergraduate Studies at the School of Sciences and Engineering. Amin holds a Ph.D. 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.

Publications

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). “Progressively Censored Reliability Sampling Plans Based on Mean Product Lifetime,” Sankhya B. Published online

https://link.springer.com/content/pdf/10.1007%2Fs13571-018-0169-y.pdf

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

https://www.worldscientific.com/doi/pdf/10.1142/S0218539318500122

Amin, Z. (2017). “A Practical Road Map for Assessing Cyber Risk,” Journal of Risk Research. Published online August 2, 2017
http://www.tandfonline.com/doi/full/10.1080/13669877.2017.1351467

Amin, Z. (2017), “A Refined Partnership Model for Effective Risk Management,” 2017 Enterprise Risk Management Symposium Monograph, Society of Actuaries
https://www.soa.org/essays-monographs/2017-erm-symposium-mono/

Amin, Z. (2016). “Quantification of Operational Risk: A Scenario-Based Approach,” North American Actuarial Journal, 20, 286-297

Amin, Z. (2016). Modeling Loss Severity, in Edward W. Frees (Ed.), Loss Data Analytics, University of Wisconsin-Madison, Open Educational resource

Amin, Z. and Salem, M. (2015), “Bayesian Modeling of Health Insurance Losses,” Journal of Applied Statistics, 42, 231–251

Amin, Z. (2014). “Operational Risk Modelling and Management by Claudio Franzetti,” Journal of Risk and Insurance, 81, 969–973

Research Interest

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.