Professional Experience:
- Power Market Analyst, Thomson Reuters, PointCarbon, June 2013 - Present.
- Researcher, Institute of Marine Research, Fisheries Dynamics Group, November 2012 - April 2013.
- Research fellow, Department of Informatics, University of Bergen, October 2008 - November 2011.
- Research Technician, The Early Life Stages Research Group, Institute of Marine Research, Bergen, Norway, June 2008 - August 2008.
- Teaching Assistant, Faculty of Mathematical Sciences, University of Khartoum, Sudan, September 2005 - August 2006.
Conference Talks:
[1] |
Alfaki, M.:
Applying over-relaxation and adaptive-step integration to the Hamiltonian Monte Carlo algorithm.
In: The Efficient Monte Carlo: From Variance Reduction to Combinatorial Optimization
A Conference on the Occasion of R.Y. Rubinstein's 70th Birthday,
Sandbjerg Estate, Sønderborg, Denmark, July 14-18, 2008.
( pdf ) |
[2] |
Alfaki, M.:
The Hamiltonian Monte Carlo algorithm in parameter estimation and uncertainty quantification.
In: The 11th European Conference on the Mathematics of Oil Recovery, Bergen, Norway, September 8-9, 2008.
( pdf ) |
[3] |
Alfaki, M.:
A path formulation for the generalized pooling problem.
In: The 3rd Nordic Optimization Symposium, Stockholm, Sweden, March 13-14, 2009.
( pdf )
|
[4] |
Alfaki, M.:
Strong formulations for the pooling problem.
In: Toulouse Global Optimization workshop, Toulouse, France, August 31 - September 3, 2010.
( pdf )
|
[5] |
Alfaki, M.:
Comparison of discrete and continuous models for the pooling problem.
In 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems,
Saarbrücken, Germany, September 8, 2011.
( pdf ) |
Peer Reviewed Conference Proceedings:
[1] |
Subbey, S., Alfaki, M., and Haugland, D.:
The Hamiltonian Monte Carlo algorithm in parameter estimation and uncertainty quantification.
In: 11th European Conference on the Mathematics of Oil Recovery.
European Association of Geo-scientists and Engineers, 2008, paper P01. |
[2] |
Alfaki, M., and Haugland, D.:
Strong formulations for the pooling problem.
In: Proceeding of Toulouse Global Optimization Workshop.
Ed. by S. Cafieri, B. G.-Tóth, E. Hendrix, L. Liberti, and F. Messine. 2010, pp. 15-18. |
[3] |
Frimannslund, L., El Ghami, M., Alfaki, M., and Haugland, D.:
Solving the pooling problem with LMI relaxations.
In: Proceeding of Toulouse Global Optimization Workshop.
Ed. by S. Cafieri, B. G.-Tóth, E. Hendrix, L. Liberti, and F. Messine. 2010, pp. 51-54. |
[4] |
Alfaki, M., and Haugland, D.:
Comparison of discrete and continuous models for the pooling problem.
In: 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems.
Ed. by A. Caprara and S. Kontogiannis. OpenAccess Series in Informatics, 2011, pp. 112-121. |
Journal publications:
[1]
|
Alfaki, M., and Haugland, D.
Strong formulation for the pooling problem.
Journal of Global Optimization, 56(3): pp. 897-916, 2013. DOI:10.1007/s10898-012-9875-6. |
[2]
|
Alfaki, M., and Haugland, D.
A multi-commodity flow formulation for the generalized pooling problem.
Journal of Global Optimization, 56(3): pp. 917-937, 2013. DOI:10.1007/s10898-012-9890-7. |
[3]
|
Alfaki, M., and Haugland, D.
A cost minimization heuristic for the pooling problem.
Annals of Operations Research, 222(1): pp. 73-87, 2014. DOI: 10.1007/s10479-013-1433-1. |
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