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 overrelaxation and adaptivestep 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 1418, 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 89, 2008.
( pdf ) 
[3] 
Alfaki, M.:
A path formulation for the generalized pooling problem.
In: The 3rd Nordic Optimization Symposium, Stockholm, Sweden, March 1314, 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 Geoscientists 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. 1518. 
[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. 5154. 
[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. 112121. 
Journal publications:
[1]

Alfaki, M., and Haugland, D.
Strong formulation for the pooling problem.
Journal of Global Optimization, 56(3): pp. 897916, 2013. DOI:10.1007/s1089801298756. 
[2]

Alfaki, M., and Haugland, D.
A multicommodity flow formulation for the generalized pooling problem.
Journal of Global Optimization, 56(3): pp. 917937, 2013. DOI:10.1007/s1089801298907. 
[3]

Alfaki, M., and Haugland, D.
A cost minimization heuristic for the pooling problem.
Annals of Operations Research, 222(1): pp. 7387, 2014. DOI: 10.1007/s1047901314331. 
