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Dr. Jamil Al Shaqsi

Title:Assistant Professor
Room #:2015
Email:alshaqsi@squ.edu.om
Ext. #:2848

Fields of Interest:

Machine Learning - Knowledge Discovery and Data Mining. - Clustering Techniques and Algorithms. - Clustering Ensembles. - Mining DNA micro-array data for clustering cancers

Education:

B.Sc. Information Systems (SQU, Oman)
M.Sc. Applied Information Technology (Monash University, Australia)
Ph.D. Computing Sciences (University of East Anglia, UK)
Has over 8 years of teaching and research experience in academia in Oman and UK. Dr. Jamil won the first prize in regional competition organized by the Institute of Engineering and Technology in the United Kingdom in 2010. His research interests include Data Mining and Machine Learning. He conducts researches on machine learning ensemble methods for data mining (clustering). He proposed a novel 3-Staged clustering algorithm and an ensemble clustering algorithm in the area of data mining. In addition, he proposed a new similarity measure to calculate the similarity between data samples in a given dataset. He was part of the Mathematics and Algorithms (MAG) research group as at the University of Each Anglia. Has given master level-labs and seminars in the School of Compute Science at UEA. A member of the Institute of Engineering and Technology (IET) in the UK. The head of Omantel Innovation Committee, 2012 and 2013. A Member of the Judge Panel of the ROP Traffic Competition, 2013. Also, has published and presented papers in many local and international conferences.

Selected Publications:

  • Al Shaqsi J. and W. W., “Estimating the Number of Clusters Based on a New Similarity Function” Journal of Intelligent Data Analysis, 2012
  • Al Shaqsi J. and W. W., “A Hybrid Method for estimating the predominant Number of Clusters in a Data Set” , The Eleventh International Conference on Machine Learning and Applications (ICMLA-12), Boca Ranto, USA, 2012
  • Al Shaqsi J. and W. W., “A CLUSTERING ENSEMBLE METHOD FOR CLUSTERING MIXED DATA”, in IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Barcelona, SPAIN, 2010
  • Al Shaqsi J. and W. W., "A NOVEL THREE STAGED CLUSTERING ALGORITHM," in AIDES European Conference on Data Mining, A. P. Abraham, Ed. Algarve, Portugal, 2009, pp. 19-26.
  • Al-shaqsi J. and Alshihi H., "ADOPTING MOBILE COMPUTING IN SULTAN QABOOS UNIVERSITY: THE CASE OF MOBILE MAJORS ALLOCATION SYSTEM (MMAS)," in IADIS International Conference Mobile Learning 2009 I. A. S. a. P. Isaías, Ed., 2009, pp. 211-216.