Maher A. Alhossaini

Bio: 
I am interested in Artificial Intelligence (AI) in general. In specific, I am interested in automated planning. I am also interested in causal reasoning, statistical modeling in AI ( e.g. Bayesian Nets), Machine Learning, Knowledge representation and reasoning, and Constraint Satisfaction Problems (CSP).

Maher Alhossaini

Computer Science Department

College of Computer and Information Sciences

King Saud University

 

Education

2013 

Ph.D in Computer Science, University of Toronto, Canada. Ph.D Thesis: “Remodeling Planning Domains Using Macro Operators and Machine Learning”.

2006

Master of Science in Computer Science, Stanford University, California, USA  with specialization in Artificial Intelligence. Master’s research Thesis: “Computing Trust From Revision History”

2000

Bachelor degree in Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

 

 

 

 

 

 

Research work

2005-2006

Worked in research at the KSL lab of Stanford University. Conducted a study about

knowledge representation and trust networks.

2007-2013

Worked in research at the Tidel lab of the University of Toronto. Worked in AI Planning and Remodelling and Machine Learning in Planning.

 

 

 

 

 

Selected Publications and Refereed Papers

2013          

M. Alhossaini, and J. C. Beck. "Instance-Specific Remodelling of Planning Domains

by Adding Macros and Removing Operators", in Proceedings of the Tenth Symposium on Abstraction, Reformulation, and Approximation (SARA 2013), 2013.

2012

M. Alhossaini, and J. C. Beck. "Macro learning in planning as parameter configuration." Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2012. 13-24.

2010

M. Alhossaini.  Learning to Choose Instance-Specific Macro Operators. In the Doctoral Consortium (ICAPS 2010), 2010.

2009

M. Alhossaini and J.C. Beck. Learning Instance-Specific Macros. In Workshop on

Planning and Learning (ICAPS 2009), 2009.

2006

H. Zeng, M. Alhossaini, L. Ding, R. Fikes, and D.L. McGuinness. Computing Trust

From Revision History. In Proceedings of International Conference on Privacy, Security and Trust, 2006.

2006

H. Zeng, M. Alhossaini, R. Fikes, and D.L. McGuinness. Mining Revision History to

Assess Trustworthiness of Article Fragments. In Proceedings of Second International Conference on Collaborative Computing: Networking, Applications, and Worksharing, 2006.

 

 

Teaching

In the years 2001-2003, I worked as a teaching assistant at King Saud University in Riyadh. I was involved in the following courses:

  • Introductory C Programming (CSC112)
  • Advanced C Programming (CSC113)
  • Operating Systems (CSC227)
  • Data structures (CSC212)

From the year 2013 until now, as an assistant professor, I taught:

  • CSC111 : Java Programming 1
  • CSC489 : Selected Topics in Computer Science, and the topic is Automated Planning.
  • CSC212 : Data Structures  
  • CSC361 : Artificial Intelligence - Undergraduate course 
  • CSC562 : Artificial Intelligence - Masters course 

 

 

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