Mahmoud Alrefaei's Home Page 

 

                


                                       

                                        Vice Dean of Science and Arts

                                         Professor of Operations Research
                                         Department of  Mathematics and Statistics
                                         Jordan University of Science and Technology

                                        P.O. Box 3030, Irbid, 22110 JORDAN

                                        Tel:  +962-2-720 1000 Ext. 23563

                                        (Fax) 962-2-709 5014

                                            e-mail: alrefaei@just.edu.jo


Contents:

·        Research Interests

·        Publications

·        Contributions

·        Classes

·        Links

EDUCATION:

·         PhD: Mathematics and Industrial Engineering/ Specialty in Operations Research, Subspecialty in Discrete Stochastic Optimization using Simulation.
University of Wisconsin-Madison, Madison, Wisconsin, USA. August 1997.

PhD thesis: Discrete Stochastic Optimization Using Random Search

PhD supervisor: Prof. Sigrun Andradottir (Georgia Institute of Technology)

·         M.A. in Mathematics
University of Wisconsin-Madison, Madison, Wisconsin, USA.
June 1997.

·         M.Sc. in Mathematics
Yarmouk University, Irbid, Jordan.
August 1985.

·         B.Sc. in Mathematics
Yarmouk University, Irbid, Jordan.
August 1983.

 


Current Research Interest:

My research interests include Stochastic Optimization, Simulated Annealing, Discrete Event Simulation, Statistical Selection Techniques, Ordinal Optimization, and Simulating Manufacturing Systems. 

Contents


Publications:

[1].  Alrefaei, M. H. and S. Andradóttir, A new search algorithm for discrete stochastic optimization. In Proceedings of the 1995 Winter Simulation Conference, ed. C. Alexopoulos, K. Kang, W. R. Lilegdon, and D. Goldsman, 236-241. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 1995.

[2].  Alrefaei, M. H. and S. Andradóttir, Discrete stochastic optimization via a modification of the stochastic ruler method. In Proceedings of the 1996 Winter Simulation Conference, ed. J. M. Charnes, D. M. Morrice, D. T. Brunner, and J. J. Swain, 406-411. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 1996.

[3].  Alrefaei, M. H. and S. Andradóttir, Accelerating the convergence of the stochastic ruler method for discrete stochastic optimization. In Proceedings of the 1997 Winter Simulation Conference, ed. S. Andradóttir, K. Healy. 352-357 Institute of Electrical and Electronics Engineers, Piscataway, New Jersey, 1997.

[4].  Alrefaei, M. H. and S. Andradóttir, A simulated annealing algorithm with constant temperature for discrete stochastic optimization. Management Science, Vol. 45(5): 748-764, 1999.

[5].  Alrefaei, M. H. and S. Andradóttir, A modification of the stochastic ruler method for discrete stochastic optimization. European Journal of Operational Research. Vol. 133: 160-182, 2001.

[6].  Alrefaei, M. H., A Method for optimizing admission control of a Voice Multihop radio network. Proceedings of the 4th St. Petersburg Workshop on Simulation, ed. S. M. Ermakov, Yu. N. Kashtanov, and V. B. Melas. St. Petersburg, Russia. 133-138, 2001.

[7].  Alrefaei, M. H., A two-phase method for selecting the best-simulated system. In The Proceedings of the 2001 International Arab Conference on Information Technology ACIT 2001. Jordan University of Science and Technology, Irbid, Jordan. 2001.

[8].  Alrefaei, M. H., Stochastic optimization using the standard clock simulation. International Journal of Applied Mathematics Vol. 8: 317-333, 2002.

[9].  Alrefaei, M. H., A technique for simulation optimization. The Fourth Middle East Symposium on Simulation and Modeling (MESM) Sharjah, UAE. Sept. 2002.

[10].  Alrefaei, M. H., A stopping rule for stochastic simulated annealing with constant temperature. WSEAS Transactions on Circuits and Systems. 2: 517-522, 2003

[11].  Alrefaei, M. H. and A. J. Alawneh,  Selecting the best stochastic system for large scale problems in DEDS. Mathematics and Computers in Simulation. Vol. 64: 237-245, 2004.

[12].  Alrefaei, M. H. and Hossam Abdul-Rahman, two sequential algorithms for selecting one of the best simulated systems. WSEAS Transactions on Systems. Vol. 3 2517-2522, 2004.

[13].  Alrefaei, M. H., and S. Andradóttir. Discrete stochastic optimization using variants of the stochastic ruler method. Naval Research Logistics, Vol. 52(4) 344-360, 2005.

[14].  Alrefaei, M. H. and A. J. Alawneh.  Solution quality of random search methods for discrete stochastic optimization. Mathematics and Computers in Simulations, Vol. 68(2) 115–125, 2005.

[15].  Alrefaei, M. H., A simulated annealing applied for optimizing a voice multihop radio network. Applied Mathematics and Computation, Vol. 167(1) 496-507, 2005.

[16].  Alrefaei, M. H. and Ahmad A. Abubaker, Optimal Computing Cost Budget Allocation for solving Buffer Allocation Problem. The Proceeding of International Symposium on Intelligence Techniques in Computer Games and Simulations, Japan, 1-2 March 2007.

[17].   Alrefaei, M. H., Simulated annealing applied for multi-objective simulation optimization, The Proceedings of The Conference on Design, Simulation, Product Development and Optimization, University Sains, Penang, Malaysia, pp. 134 – 140, 2007.

[18].    Alrefaei, M. H. and Mohammad AlMomani. Subset selection of best simulated systems, Journal of the Franklin Institute Vol. 344(5): 495–506, 2007

[19].    Alrefaei, M. H., and Hossam Abdul-Rahman. An adaptive Monte Carlo integration algorithm with general division approach. Mathematics and Computers in Simulations, Vol. 79(1): 49-59, 2008.

[20].    Alrefaei, M. H., and Hossam Abdul-Rahman. Adaptive Monte Carlo Integration,  The Proceedings of the third International Conference of Mathematical Sciences, ICM08, Al Ain, UAE, Mar. 3-6, 2008.

[21].    Ali Diabat, M. H. Alrefaei and ITsung Tsai. A Lagrangian-Relaxation based heuristic approach for the design of a large-scale logistics problem. In the proceedings of MIC 2009 VIII Metaheuristic International Conference, Hamburg, July 13-16, 2009.

[22].    Alrefaei, M. H., and Ali Diabat. A Simulated Annealing Technique for Multi-Objective Simulation Optimization. Applied Mathematics and Computation, Vol. 215(8) 3029-3035, December 2009.

[23].    Alrefaei, M. H., Alaa Abu Nahiah, Abeer Abu-Lebda, Danya Khayal. Simulating and Selecting the best Appointment System of an Outpatient Department. In the Proceedings of the Annual International Conference on Operations Research and Statistics, ORS 2011, Penang, Malaysia, pp. 100 – 105, 2011.

[24].     Mohammad H. Almomani  and M. H. Alrefaei. A Three-Stage Procedure for Selecting a Good Enough Simulated System. Journal of Applied Probability and Statistics, Vol. 6(1&2) 13 – 27, 2012.

 

[25].    Mohammad H. Almomani, Rosmanjawati Abdul Rahman, Adam Baharum and M. H. Alrefaei. A Selection Approach for Solving the Buffer Allocation Problem. International Journal of the Physical Sciences. Volume 7(3) 713 – 722, 2012.

[26].    Alrefaei, M. H., and Ali Diabat: A Simulated Annealing with Ranking and Selection for Stochastic Optimization, Advanced Materials Research, Vol. 488 – 489, 1335 – 1340, 2012.

 

[27].    Devica Kannan, Ali Diabat, M. Alrefaei, Kannan Govindan and Geng Yong, A carbon footprint based reverse logistics network design model, Resources, Conservation and Recycling, Vol. 67, 75–79, October 2012.

 

[28].    Alrefaei, M. H., Diabat A., Alawneh A., Al-Aomar R., Faisal M . N., Simulated Annealing for Multi Objective Stochastic Optimization. International Journal of Science and Applied Information Technology (IJSAIT),  Vol. 2 (2), 18 – 21, 2013.

 

[29].    Faisal M. N., M. Alrefaei., Alawneh A., Al-Aomar R. and Diabat A.  Supply Chain Performance Improvement by Integrating Sustainability in Supplier Selection for a Steel Producer. In the Proceedings of the 3rd  International Conference on Production and Industrial Engineering CPIE-2013, JALANDHAR, INDIA, pp.  586 – 591, March 2013.

[30].    Diabat A., Al-Aomar R., M. Alrefaei, Alawneh A., Faisal M.  A Framework for Optimizing the Supply Chain Performance of a Steel Producer. In the Proceedings of the 15th International Conference on Enterprise Information Systems 04 - 07 July 2013 Angers - France, pp. 554-562, July 2013.

[31].    Al-Aomar R., M. Alrefaei, A. Diabat, M. N. Faisal and A. Alawneh. Using Simulation to Assess the Performance of a Large-scale Supply Chain for a Steel Producer. In the Proceedings of the 2014 International Conference on Mathematical Methods, Mathematical Models and Simulation in Science and Engineering, Switzerland, 22 – 24 February, 2014. pp. 156 – 160, 2014

[32].    Alawneh A., M. Alrefaei, A. Diabat, R. Al-Aomar, and M. N. Faisal. An LP Model for Optimizing a Supply Chain Management System for Steel Company. In the Proceedings of the International Multi Conference of Engineers and Computer Scientists 2014 Vol II, 12 – 14 March 2014, pp. 1162 -1164 , Hong Kong, 2014.

[33].    Abubaker A., Baharum A. and M. Alrefaei, Good solution for multi-objective optimization problem. AIP Proceedings, Vol. 1605, 1147- 1152, 2014.

[34].    Alrefaei, M., Ameen Alawneh and Mansur Hussain. Fuzzy Linear Programming for Supply Chain Management in Steel Industry; Applied Mathematical Sciences Vol. 8(103), pp. 5105 – 5114, 2014.

[35].    Abubaker A., Baharum A. and M. Alrefaei, Cooling Schedule for Multi-Objective Simulated Annealing Algorithm. AIP Proceedings, Vol. 1613, 55- 61, 2014.

[36].    Alrefaei, M. H., and Ali Diabat. Modelling and Optimization of Outpatient-Appointment Scheduling;  RAIRO - Operations Research, Vol. 49 (3), pp. 435–450, 2015.

[37].    Abubaker A., Baharum A. and M. Alrefaei, Automatic Clustering Using Multi-objective Particle Swarm and Simulated Annealing. PLoS ONE, Vol. 10(7): e0130995. doi:10.1371/journal.pone.0130995, 2015.

[38].    Mohammad H. Almomani and M. H. Alrefaei. Ordinal Optimization with Computing Budget Allocation for Selecting an Optimal Subset. Asia-Pacific Journal of Operational Research, Vol. 33, No. 02, 1650009 (2016). http://www.worldscientific.com/doi/pdfplus/10.1142/S0217595916500093.

[39].    M. Al-Salem, Ali Diabat, Doraid Dalalah, and Mahmoud Alrefaei. A closed-loop supply chain management problem: Reformulation and piecewise linearization, Journal of Manufacturing System, 40, Part 1, 1 – 8, 2016.

[40].    Abubaker A., Baharum A. and M. Alrefaei, Multi-Objective Particle Swarm Optimization and Simulated Annealing in Practice, Applied Mathematical Sciences, Vol. 10, 2016, no. 42, 2087 – 2103.

[41].    M. Al-Salem, M.  Almomani, M. Alrefaei, A. Diabat. On the Optimal Computing Budget Allocation Problem for Large Scale Simulation Optimization, Simulation Modelling Practice and Theory, Vol. 71, February 2017, 149–159.

[42].    Abubaker A., Baharum A. and M. Alrefaei, A pruned Pareto set for multi-objective optimization problems via particle swarm and simulated annealing, International Journal of Operational Research, to appear.

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Contents


Contributions to Conferences:

Conferences Organization:

 

  1. Coordinator of the First Scientific Jordanian Tunisian Forum 2016 (SJTF’1), JUST 29—31 March 2016.
  2. Member f the organizing committee for the International Conference on Advanced Materials (ICAM 2015), JUST 27 – 29 April, 2015.
  3. Member of the organizing committee for the Third International Conference of Mathematical Sciences, ICM08, Al Ain, UAE, 3-6, 2008.
  4. Director of the CIMPA Summer School of Mathematical Modeling for Financial Markets. Jordan University of Science and Technology, September 11 – 22, 2005.
  5. Member of the organizing committee of the Summer School: Partial Differential Equations Arising From Geometry. Damascus University, May 15 – 27 2004.
  6. Member of the organizing committee of the Seventh Scientific day of the Faculty of Science and Arts, May 2004
  7. A member of the 4th WSEAS International Conference on Simulation, Modeling, and Optimization (ICOSMO2004)  Izmir, Turkey 13 – 16, 2004.
  8. Chair of the Sixth Scientific day of the Faculty of Science and Arts, May 23 – 24, 2003.
  9. Chair of The Math Section in the fifth scientific day of the Faculty of Science and Arts, May 2002.

 

Contents

 

 

Conferences Participation:

  1. A new search algorithm for discrete stochastic optimization. 1995 Winter Simulation Conference. Washington D.C., USA. 1995.
  2. An approach for accelerating the convergence of discrete stochastic optimization procedures." INFORMS Fall 1995 National Conference in New Orleans, USA. 1996.
  3. Discrete stochastic optimization via a modification of the stochastic ruler method. 1996 Winter Simulation Conference. San Diego, USA. 1996.
  4. A simulated annealing algorithm with constant temperature for discrete stochastic optimization." INFORMS Fall 1996 National Conference in Atlanta, USA. 1996.
  5. Accelerating the convergence of the stochastic ruler method for discrete stochastic optimization. 1997 Winter Simulation Conference. Atlanta, USA.1997
  6. Optimization under uncertain conditions. The Second Annual Scientific Day of the Faculty of Science and Arts. JUST, Irbid, Jordan. May 1999
  7. Some developments of random search methods for discrete stochastic optimization. The XX International Seminar in Stability of Stochastic Processes. Lublin, Poland. Sept. 1999.
  8. Stochastic optimization using the standard clock technique. 8th Silivri-G.Magusa Workshop on Stochastic Analysis and Related Topics. North Cyprus. Sept. 2000.
  9. Optimizing multihop radio network problems. The Fourth Annual Scientific Day of the Faculty of Science and Arts. JUST, Irbid, Jordan. May 2001.
  10. A method for optimizing admission control of a voice multihop radio network. 4th St. Petersburg Workshop on Simulation. St. Petersburg, Russia. June 2001.
  11. A two-phase method for selecting the best-simulated system. International Arab Conference on Information Technology ACIT 2001, Irbid, Jordan. May 2001.
  12. Selecting the best stochastic system. With Ameen Alawneh. Operations Research Conference 2002, Klagenfurt, Austria. Sept. 2002.
  13. Simulated annealing algorithm for continuous stochastic optimization. Operations Research Conference 2002, Klagenfurt, Austria. Sept. 2002.
  14. A technique for simulation optimization. The Fourth Middle East Symposium on Simulation and Modeling (MESM) Sharjah, UAE. Sept. 2002.
  15. A stopping rule for stochastic simulated annealing with constant temperature. The 3rd WSEAS International Conference on Simulation, Modeling and Optimization (ICOSMO 2003) Rethymno, Crete Island, Greece, October 13-15, 2003. 
  16. On-line learning project for science courses. The Seventh Annual Scientific Day of the Faculty of Science and Arts. JUST, Irbid, Jordan. May 2004.
  17. Two sequential algorithms for selecting one of the best simulated systems. The 4th WSEAS International Conference on Simulation, Modeling and Optimization (ICOSMO 2004). Izmir, Turkey, September 13-16/2004.
  18. Subset Selection of Best Simulated Systems. First International Conference on Modeling, Simulation and Applied optimization (ICMSAO 2005). American University of Sharjah, UAE Feb 1-3/ 2005.
  19. Optimal Computing Cost Budget Allocation for solving Buffer Allocation Problem.  International Symposium on Intelligence Techniques in Computer Games and Simulations, Japan, 1-2 March 2007.
  20. Learning Technologies and Mathematics Middle East Conference, Sultan Qaboos University, Muscat, Oman March 31–April 2, 2007
  21. Modeling & Simulation in Practice. The First Forum of Physics and Mathematical Sciences. College of Arts and Sciences, QU, April 25 – 26th, 2007.
  22. Simulated annealing applied for multi-objective simulation optimization. Conference on Design, Simulation, Product Development and Optimization, University Sains, Penang, Malaysia, Dec. 10 - 11, 2007.
  23. Adaptive Monte Carlo Integration,  The Third International Conference of Mathematical Sciences, ICM08, Al Ain, UAE, 3-6 March, 2008.
  24. Using WeBWork at Qatar University, The 13th Asian Technology Conference in Mathematics, ATCM 2008, Bangkok, Thailand, 15-19 December, 2008.
  25. A Combined Procedure for Selecting the Best Simulated System. The 2009 CORS/INFORMS International Meeting in Toronto, Canada, June 14- 17, 2009.
  26. Selecting a good enough simulated system. The First International Conference on Mathematics and Statistics AUS-ICMS ’10. American University of Sharjah, UAE, 18 – 21 March 2010.
  27. Adaptive Balanced Algorithm for Continuous Stochastic Optimization. Applied Mathematics International Conference 2010 (AMIC2010). Kuala Lumpur, Malaysia, 22 – 24 June 2010.
  28. Multi-Objective Optimization Procedure using Ranking and Selection. International Conference on Mathematical Sciences. Bolu, Turkey, 23 – 27 November 2010.
  29. Simulating and Selecting the best Appointment System of an Outpatient Department. The Annual International Conference on Operations Research and Statistics, ORS 2011, Penang, Malaysia, 7 - 8 April 2011.
  30. A Simulated Annealing with Ranking and Selection for Stochastic Optimization. The 2012 International Conference on Manufacturing and Industrial Engineering (ICMIE 2012), Singapore 26 – 28 February 2012.
  31. Simulated Annealing for Multi Objective Stochastic Optimization. The International Conference on Computing, Technology, and Engineering (ICCTE  2013), Dubai, 11- 13 March 2013.
  32. Optimizing Qatar Steel Supply Chain Management System. Qatar Foundation Annual Research Conference, Qatar 24 – 25 November 2013.
  33. The Second International Conference on Mathematics and Statistics AUS-ICMS’15, American University at Sharjah, UAE, 2 – 5 April, 2015.
  34. Arab Expatriate Scientists (AES) Forum. Doha, Qatar 21 March 2016.
  35. Qatar Annual Research Conference (ARC). Doha, Qatar 22 – 23 March, 2016.
  36. Designing Health care appointment systems using GA and SA. The Computational Management Science Conference (CMS2016), Salamanca, Spain, May 31 – June 2nd, 2016.

 

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Classes Taught:

 

Graduate Level:

·         Math 794: Special Topics in Operations Research (Graduate Level taught at the Math Department  JUST)

·         CSCI 635, EENG 635: Probability and Stochastic Process (Graduate level taught at the NYiT Middle East Branch of Amman for Computer science and Electrical Engineering Students)


 

Undergraduate Level:

·         Math 492: Research on Applied Mathematics.

·         Math 475: Optimization Theory

·         Math 472: Seminar in Operations Research

·         Math 470: Probabilistic Models in Operations Research

·         Math 454: Modeling and Simulation

·         Math 416: Seminar in Programming and Analysis

·         Math 412: Computer Simulation

·         Cpe 412: Computer Simulation and Modeling (Taught at the Department of Computer Engineering at JUST)

·         Math 371: Linear Programming

·         Math 241: Discrete Mathematical Structure (for Computer sciences and computer Engineering majors)

·         CIS 491: Graduation Project, Focused (Taught at the Department of Computer Science and Information Technology at JUST)

·         Some other teaching activities include

o        Math 101, 102, 201 Calculus courses

o        Stat 101: Introduction to Statistics (Taught at the Department of Statistics at Yarmouk University)

o        Math 125: Finite Mathematics (Taught at the NYiT Middle East Branch)

 

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Related Links:

 

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e-mail: alrefaei@just.edu.jo

 

Last update Monday January 18 ,2006