NUST School of Electrical Engineering and Computer Science (NUST-SEECS)

Dr. Ali Mustafa Qamar
Assistant Professor
Department of Computing

School of Electrical Engineering and Computer Science (SEECS)
National University of Sciences and Technology (NUST)
NUST Campus H-12, Islamabad
Tel: 051-90852167
Email: mustafa.qamar at seecs.edu.pk
Web: http://

Specialization:
Machine Learning, Data Mining, Information Filtering, Information Retrieval

Education:
Post-Doc – Machine Learning – Informatics Laboratory Grenoble, University Joseph Fourier, Grenoble, France, France (2011)

Research Interest

HEC Approved PhD Supervisor

Research Experience

Assistant Professor (ATER), University Joseph Fourier, Grenoble, France
November 2010 – June 2011 (7 months )

Details: Teaching and Research on development of Similarity Metric Learning algorithms

Journal Papers

A. M. Qamar, E. Gaussier, "RELIEF Algorithm and Similarity Learning for k-NN", International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol. 4, pp. 445-458, 2012.

Conference Papers

Mazhar Ul Haq,Hasnat Ahmed, Ali Mustafa Qamar, "Dynamic entity and relationship extraction from news articles", Proceedings of the IEEE International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, 2012, Dec, 2012, Islamabad Pakistan.

A. M. Qamar, E. Gaussier, "Similarity Learning in Nearest Neighbor and Relief Algorithm", Proceedings of the International Conference on Machine Learning and Applications (ICMLA), pp. 183-189, 2010, Washington United States.

A. M. Qamar, E. Gaussier, "Similarity Learning in Nearest Neighbor, Positive semi-definitiveness and RELIEF Algorithm", Proceedings of the Second International Conference of Soft Computing and Pattern Recognition (SoCPaR), pp. 291-296, 2010, Paris France.

A. M. Qamar, E. Gaussier, "(Learning different classes of similarity for k Nearest Neighbors) Apprentissage de différentes classes de similarité dans les k-PPVs", Proceedings of the XVIth Joint Meeting of the French Society of Classification (SFC), pp. 61-64, Sep, 2009, Grenoble France.

A. M. QamarE. Gaussier, "Online and Batch Learning of Generalized Cosine Similarities", Proceedings of the International Conference on Data Mining (ICDM), pp. 926-931, 2009, Miami United States.

A. M. Qamar, E. Gaussier, J.-P.Chevallet, J. H. Lim, "Similarity Learning for Nearest Neighbor Classification", Proceedings of the International Conference on Data Mining (ICDM), pp. 983-988, 2008, Pisa Italy.

Books/Chapters Published

[Chapter]A. M. Qamar, E. Gaussier, N. Denos, "Batch Document Filtering Using Nearest Neighbor Algorithm ", Lecture Notes in Computer Science (LNCS), SpringerLink, Vol. 6241/2010, 2010.

[Chapter]V. Bodinier, A. M. Qamar, E. Gaussier, "Online Document Filtering Using Adaptive k-NN ", Lecture Notes in Computer Science (LNCS), SpringerLink, Vol. 5706/2009, 2009.

Assistant Professor (ATER) , University Joseph Fourier, Grenoble, France
November 2010 – June 2011 (7 months )

Details: Taught two courses:
C Programming to first year Bachelors' students
Introduction to XML to third year Bachelors' students

Lecturer , Fatima Jinnah Women University (FJWU)
August 2005 – March 2006 (7 months )

Details: Teaching UG (Software Engineering)and PG students (MCS)

[Courses Taught: Software Engineering -1, Artificial Intelligence, Programming Using C++, Introduction to Computers]

Assistant Professor , School of Engineering and Computer Science (SEECS), NUST
July 2011 – Present (1 year 11 months )

Details: Teaching and Research

[Currently Teaching: Artificial Intelligence and Machine Learning - MS(CS) students]

[Courses Taught: Data Warehousing and Data Mining, Problem Solving Using C]

Technical Support Specialist, Ultimus Inc.
May 2005 – August 2006 (1 year 3 months )

Details: Providing technical support to Ultimus Customers

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