Profile Information
Name Dr. Mustansar Ali Ghazanfar
Designation Assistant Professor
Department Department of Software Engineering
Phone No
Cell No
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Email [email protected]
Education 1) PhD (Electrical Engineering with specialisation in Machine Learning/Data Mining), 2013, University of Southampton, UK 2) MSc (Software Engineering), 2008, University of Southampton, UK 3) BSc (Software Engineering), 2006, UET-Taxila, Pakistan (Gold Medalist)
Research Work
Research Interests • Data Mining and Machine Learning: Recommender Systems, Collaborative Filtering, Information Retrieval, Kernel based learning, Classification techniques, Dimensionality reduction techniques for handling large scale data, Clustering • Forecasting, Personalization, Prediction • Quantitative Analysis, Quant research and development, Hedge fund • Software Development, Object Oriented Programming
Publications 1) Ghazanfar, M. and Prugel-Bennett, A., Kernel-Mapping Recommender Systems: Generating Scalable Recommendations. In Information Science Journal, Jan 2012. (5 yr Impact factor = 3.005) 2) Ghazanfar, M. Szedmak, S. and Prugel-Bennett, A., Incremental Kernel Mapping Algorithms for Highly Scalable Recommendations. In 23rd IEEE International Conference on Tools with Artificial Intelligence, Special Session on Recommender Systems in e-Commerce (RSEC), Nov, 2011, USA. 3) Ghazanfar, M. and Prugel-Bennett, A., The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations. In the European Conference on Data Mining (ECDM’11), 24-26 July 2011, Italy (Granted with the best student paper award) 4) Ghazanfar, M. and Prugel-Bennett, A., The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations, Informatica Journal 5) Ghazanfar, M. and Prugel-Bennett, A., Fulfilling the Needs of Gray-Sheep Users in Recommender Systems, A Clustering Solution. In: 2011 International Conference on Information Systems and Computational Intelligence, 18-20, January, Harbin,China. 6) Ghazanfar, M. and Prugel-Bennett, A., Building Switching Hybrid Recommender System Using Machine Learning Classifiers and Collaborative Filtering, IAENG International Journal of Computer Science 37 (2010), no. 3, 272–287. 7) Ghazanfar, M. and Prugel-Bennett, A., Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments. In: DMIN 10, the 2010 International Conference on Data Mining, July 2010, USA. 8) Ghazanfar, M. and Prugel-Bennett, A., An Improved Switching Hybrid Recommender System using Naive Bayes Classifier and Collaborative Filtering. In the 2010 IAENG International Conference on Data Mining and Applications (ICDMA10), Hong Kong, 17-19 March, 2010. 9) Ghazanfar, M. and Prugel-Bennett, A., Novel Heuristics for Coalition Structure Generation in Multi-Agent Systems. In: the 2010 International Conference of Computational Intelligence and Intelligent Systems, 30 June - 2 July, 2010, United Kingdom. 10) Ghazanfar, M. and Prugel-Bennett, A., A Scalable, Accurate Hybrid Recommender System. In the 3rd International Conference on Knowledge Discovery and Data Mining (WKDD 2010), 9-10 Jan 2010, Thailand. 11) Ghazanfar, M., Efficient Bandwidth Speech Processing Techniques Used in Satellite Communication, In ISNET Sep. 2006, Pakistan
Projects
Admin Work
Development Work
Experience Technical Experience: • Research Collaborative: MobileVCE from Oct 2008 to Sep 2011. o Worked on Instant knowledge project (http://www.ecs.soton.ac.uk/research/projects/469) o Recommender system algorithms in Java o Deliver presentations, seminars, and demos to different industry members (MobileVCE, Thales, etc.) • Assistant Manager (Software Engineer): SUPARCO (Space and Upper Atmosphere Research Commission) from Dec 2005 to Sep 2007 o Software Developer: C/C++, Java, Matlab o Did practical work for data handling of CFI (Customer Furnished Instruments), that would be employed in Pak Sat-1R (Pakistan’s first indigenous satellite) • Internee at SUPARCO Lahore from Oct 2005 to Dec 2005 as a software developer • Demonstrator/Teaching Assistant at ECS, University of Southampton o Conducting undergraduate labs Non-Technical Experience: • Residential Computing Advisor: University of Southampton UK, 2008/09 session o Resolving IT related problems of the university halls of residents • MSc Software Engineering Advisor: University of Southampton UK, 2010/11 session o Advising international students for their problems related to studies, language, and others.
Services
Memberships
Teaching TBA
Academic Positions
Affiliations IEEE, IEE, British Red Cross
Awards • Best Student Paper award in IADIS European conference on data mining, July 2011, Italy • Got PhD studentship from MobileVCE (www.mobilevce.com) • Achieved scholarship from HEC (www.hec.gov.pk) for doing MSc in U.K. • Top in Software Deptt.,University of Southampton, 2007/08 session. • Gold Medalist of UET-Taxila in Software Deptt. (Overall 4 yr top) • Achieved scholarships repeatedly from UET Taxila. • Achieved grand cash prize from NESCOM (www.nescom.gov.pk) Pakistan, Apr. 2007 • Achieved scholarship from PITB (www.pitb.gov.pk), Oct 2005
Conferences
Participations 1) The European Conference on Data Mining (ECDM’11), 24-26 July 2011, Italy (Granted with the best student paper award)
Thesis Supervised
Workshops/Courses Attended
PostGraduate Students
Research Group