Dr Muhammad Iqbal Al-Banna Ismail

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Dr Muhammad Iqbal Al-Banna Ismail

Department of Applied Statistics
SDGs Focus
Industry, Innovation and Infrastructure
Sustainable Cities and Communities
Climate Action
Life Below Water

Biography

Dr Muhammad Iqbal Al-Banna Ismail previously was a full-time lecturer at Netherlands Maritime University College (NMUC) and Management and Science University (MSU) and a part-time lecturer at Meritus University and UCSI University Sarawak Campus (Online Teaching). He graduated in Bachelor of Statistic from Islamic University of Indonesia, M. Sc in Information Technology and Quantitative Sciences from UiTM Shah Alam research on Robust Ridge Regression: Combination of WRID with WRM and WRMM Estimator which is related to Statistics Econometrics and PhD in Technology Management from UTHM research on Mathematical Modelling of Collective Value at Risk (CVaR) and Collective Modified Value at Risk (CMVaR) In Life Insurance Collection For Some Compound Distribution which is related to Actuarial Science.

Dr Muhammad Iqbal research interests include Actuarial Mathematics and Statistics, Risk Analysis, Applied Statistics, Econometrics, Maritime and Marine Statistics, Islamic Finance and Insurance/Takaful.
 

Academic & Professional Qualifications

  • PhD in Technology Management, Tun Hussein Onn University of Malaysia (2023)
  • M. Sc in Information Technology and Quantitative Sciences, University of Technology MARA (2012)
  • B. Stats, Islamic University of Indonesia (2006)

Research Interests

  • Actuarial Mathematics and Statistics
  • Risk Analysis
  • Applied Statistics
  • Econometrics
  • Maritime and Marine Statistics
  • Islamic Finance and Insurance/Takaful

Notable Publications

  1. Ismail, M. I A, Sukono, Bon, A.T, Effendie, A. Saputra, J (2023). Investigating The Collective Value-at-Risk (CVaR) And It’s Application On Real Data For Life Insurance, Decision Science Letters 12, doi: 10.5267/dsl.2022.12.004
  2. Ismail, M. I A, Sukono, Bon, A.T, Effendie (2021). Collective Modified Value-at-Risk in Life Insurance When the Number and Amount of Claims Has Poisson and Lognormal Distributions, Review International Geographical Education, ISSN:2146-0353. RIGEO. 11(4), WINTER
  3. Ismail, M. I A, Sukono, Bon, A.T, Effendie (2019). Collective Modified Value at Risk Eksakta Journal of Sciences and Data Analysis Volume 2, Issue 1, 2021 E-ISSN:2720-9326, P-ISSN:2716-0459
  4. Ismail, M. I A, Sukono, Bon, A.T, Hidayat, Y, Lesmana, E, Supian, S (2017). Geometric-Gamma Collective Modified Value-at-Risk Model in Life Insurance Risk, International Journal of Engineering and Technology 7(3.20) 2018, 372-376 
  5. Ismail, M. I A, Sukono, Bon, A.T, Effendie (2017). Collective Value at Risk (ColVaR) In Life Insurance, International Journal of Engineering and Technology 7(3.7) 2018, 25-28)