MOHAMMAD HANI MUFLEH ALMOMANI

Mohammad Hani Mufleh Almomani	Associate Professor
Applied Statistics / Operation Research	Applied Statistics
Faculty of Science	Department of Mathematics
mh_momani@hu.edu.jo
ORCID ID : 164623520
Office No. : 145	EXT : 5243

C.V. Document file as PDF:

Ph.D.	Universiti Sains Malaysia	Malaysia,2012
Master	Jordan University of Science and Technology	Jordan,2004
Bachelor	Jordan University of Science and Technology	Jordan,2001

•Stochastic processes 
•Ranking and selection procedures for stochastic Simulation 
•Ordinal optimization and optimal computing budget allocation procedures
•Computer simulation of stochastic systems

Academic Journals:-

1.	Almomani, M. H., Alrefaei, M. H. and Al Mansour S.(2017).A combined statistical selection procedure measured by expected opportunity cost. Arabian Journal for Science and Engineering, DOI 10.1007/s13369-017-2865-8, 1-9. (ISI-Cited Publication)

2.	Almomani, M. H., Alrefaei, M. H. and Al Mansour S.(2017). A method for selecting the bestperformance systems. International Journal of Pure and Applied Mathematics, forthcoming. (SCOPUS-Cited Publication)

3.	Alsalem M.,Almomani, M. H., Alrefaei, M. H. and Diabat A. (2017). On the optimal computing budget allocation problem for large scale simulation optimization. Simulation Modelling Practice and Theory,71:149-159. (ISI-Cited Publication)

4.	Almomani, M. H.and Alrefaei, M. H. (2016). Ordinal optimization with optimal computing budget for selecting an optimal subset.Asia-Pacific Journal of Operational Research33(2): 1-17. (ISI-Cited Publication)

5.	Almomani, M. H.and Ababneh F. (2015).The expected opportunity cost and selecting the optimal subset,Applied Mathematical Sciences9(131): 6507 - 6519.(SCOPUS-Cited Publication)

6.	Almomani, M. H. (2014). Efficient approach for selecting the best subset of buffer profile, International Journal of Open Problems in Computer Sciences and Mathematics7(4):1-13.

7.	Almomani, M. H., Abdul Rahman, R. and Baharum A., Alwadi S., Ababneh F. (2014). The effect of simulation parameters on the selection approach,International Journal of Open Problems in Computer Sciences and Mathematics 7(2):19-48.

8.	Almomani, M. H. and Abdul Rahman, R. (2012). Selecting a good stochastic system for thelarge number of alternatives, Communications in Statistics–Simulation and Computation41(2): 222–237.(ISI-Cited Publication)

9.	Almomani, M. H. and Alrefaei, M. H. (2012). A three-stage procedure for selecting a goodenough simulated system, Journal of Applied Probability and Statistics 6(1&2): 13-27.(SCOPUS-Cited Publication)

10.	Almomani, M. H., Abdul Rahman, R., Baharum, A. and Alrefaei, M. H. (2012). A selection approach for solving the buffer allocation problem, International Journal of the Physical Sciences 7(3): 413–422.

11.	Almomani, M. H. and Abdul Rahman, R. (2012). Selecting the best system using the three–stage and the four–stage selection approaches, Applied Mathematical Sciences 6(40): 1955–1972.(SCOPUS-Cited Publication)

12.	Almomani, M. H., Baharum, A. and Abdul Rahman, R. (2011). Three–stage selection approach with the initial simulation sample size, International Journal of Pure and Applied Mathematics 72(2): 159–172.(SCOPUS-Cited Publication)

13.	Almomani, M. H., Abdul Rahman, R. and Baharum, A. (2011). Selecting a good enough stochastic design, Far East Journal of Applied Mathematics 53(2): 123–131.

14.	Almomani, M. H. and Abdul Rahman, R. (2011). Efficiency of different stopping rules for selecting a good system, World Applied Science Journal 12(8): 1327–1336.(SCOPUS-Cited Publication)

15.	Almomani, M. H., Baharum, A. and Abdul Rahman, R. (2010). Three–stage procedure and expected opportunity cost for selecting a good simulated design, Research Journal of Applied Sciences 5(6): 417–423.(SCOPUS-Cited Publication)

16.	Almomani, M. H. and Abdul Rahman, R. (2010). Selecting a good enough simulated design with opportunity cost, International Journal of Mathematics and Computation 7(J10): 114–124.

17.	Alrefaei, M. H. and Almomani, M. H. (2007). Subset selection of best simulated systems, Journal of the Franklin Institute 344: 495–506.(ISI-Cited Publication)

Proceeding:-

18.	Almomani, M. H. and Abdul Rahman, R. (2011). An adequate choice of initial sample size for selection approach, International Conference on Operations Research (ICOR2011), Vol. 60, pp. 799–803.

19.	Almomani, M. H. and Abdul Rahman, R. (2011). Sequential selection approach for selecting the best system, International Conference on Modeling, Simulation and Applied Optimization (ICMSAO2011), pp. 1056–1060.

20.	Almomani, M. H. and Abdul Rahman, R. (2011). The effect of increment in simulation samples on a combined selection procedure, International Conference on Computer Mathematics and Natural Computing (ICCMNC 2011), Vol. 74, pp. 463–467.
21.	Almomani, M. H., Abdul Rahman, R. and Baharum, A. (2011). Four–stage selection approach with the initial sample size, The 2nd symposium of the USM fellowship holders 2011.

22.	Almomani, M. H., Abdul Rahman, R. and Baharum, A. (2010). Selecting a good enough stochastic design, International Conference on Fundamental & Applied Sciences (ICFAS2010).

23.	Almomani, M. H., Baharum, A. and Abdul Rahman, R. (2010). The opportunity cost and three–stage approach, International Conference on Mathematical Applications in Engineering (ICMAE2010).

24.	Almomani, M. H., Baharum, A. and Abdul Rahman, R. (2010). Three–stage approach and the initial sample size, Association of Asian Pacific Operational Research Societies Conference (APORS2010).

25.	Alrefaei, M. H. and Almomani, M. H. (2004). A three stage method for selecting a good simulatedsystem, MESM’2004 Middle East Multi-conference on Simulation and Modeling.

• Co-Advisor for Sarah Al-Abdulhadi, Master Degree. Title of Thesis: Solving Inventory System Problems using Selection Procedures, Jordan University of Science and Technology, 2015-2017.

• Co-Advisor for Shahd Qassim Al Mansour, Master Degree. Title of Thesis: Selecting a Good Enough Stochastic System via Statistical Selection Procedures, Jordan University of Science and Technology, 2013-2015.

 • Assistant Professorat the Department of Mathematics, The Hashemite University, Zarqa, Jordan, 2016 to present.

• Assistant Professor at the Mathematics Department, Faculty of Science, Jerash University, Jordan, 2012-2016.

• Part time Lecturer at the Department of Mathematics and Statistics, Jordan University of Science and Technology, Irbid, Jordan, 2012-2016.

• Teaching and Research Assistant at the School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia, 2010-2011.

• A lecturer at the Department of Mathematics, King Saud University, Al-Kharj, Saudi Arabia, 2006-2009.

• Part time Lecturer at the Department of Mathematics and Statistics, Jordan University of Science and Technology, Irbid, Jordan, 2004-2006.

• Teaching Assistant at the Department of Mathematics and Statistics, Jordan University of Science and Technology, Irbid, Jordan, 2001-2002.

•	Calculus 1
•	Calculus 2
•	Calculus 3
•	Introduction to Probability and Statistics
•	Introduction to Distribution Theory
•	Operations Research
•	Introduction to Statistical Inference
•	General Mathematics for Students of Business Administration
•	Biostatistics
•	General Mathematics for Students of Agriculture
•	Basic Concepts of Statistics
•	Linear Programming and Game Theory
•	Statistical Methods (1)
•	Probability Theory
•	Design of Experiments
•	Mathematical Statistics
•	Applied Probabilities

 • Member of the M.Sc. thesis committee of Mohammad Al-Rajoodi, Title of Thesis: Multi-Objective Optimal Computing Budget Allocation, Jordan University of Science and Technology, 2017.

MOHAMMAD HANI MUFLEH ALMOMANI

MOHAMMAD HANI MUFLEH ALMOMANI

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