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

Visiting Researcher, Sungkyunkwan University (SKKU), South Korea
July 2013 – August 2013 (1 month )

MS Research Student, IPAL (Image & Pervasive Access Lab), Singapore
April 2007 – July 2007 (3 months )

Details: Working on Distance Metric Learning, Voted Perceptron algorithm

Journal Papers

R. Irfan, S. Khan, A. M. Qamar, P. C. Bloodsworth , "Refining Kea++ Automatic Keyphrase Assignment", Journal of Information Science, 2014.

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

M. Shaheryar , M. Khalid, A. M. Qamar, "RotSiLA: A Novel Ensemble Classification approach based on Rotation Forest and Similarity Learning using Nearest Neighbor Algorithm", Proceedings of the International Conference on Machine Learning and Applications (ICMLA), pp. 46-51, 2013, Miami United States.

M. Ali, A. M. Qamar, B. Ali, "Data analysis, Discharge classifications, and Predictions of Hydrological Pa- rameters for the Management of Rawal Dam in Pakistan", Proceedings of the International Conference on Machine Learning and Applications (ICMLA), pp. 382-385, 2013, Miami United States.

M. Ali, A. M. Qamar, "Data Analysis, Quality Indexing and Prediction of Water Quality for the Managment of Rawal Watershed in Pakistan", Proceedings of the International Conference on Digital Information Management (ICDIM), 2013, Islamabad Pakistan.

S. Masood, M. Ali, F. Arshad, A. M. Qamar, A. Kamal, A. Rahman, "Customer Segmentation and Analysis of a Mobile Telecommunication Company of Pakistan using two-step clustering algorithm", Proceedings of the International Conference on Digital Information Management (ICDIM), 2013, Islamabad Pakistan.

S. A. Qureshi, A. S. Rehman, A. M. Qamar, A. Kamal,A. Rahman, "Telecom Subscribers Churn Prediction Model Using Machine Learning", Proceedings of the International Conference on Digital Information Management (ICDIM), 2013, Islamabad Pakistan.

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 (3 years )

Details: Teaching and Research

Courses Taught:

Spring 2013: Software Construction, BESE-1 (A & B)

Fall 2012: Data Warehousing and Data Mining, BIT 11 (A & B)

Summer 2012: Information Retrieval, MS(CS)-1

Spring 2012: Artificial Intelligence and Machine Learning, MS(CS)-1

Fall 2011: Data Warehousing and Data Mining, BIT 10 (A & B)

Summer 2011: Problem Solving Using C, BEE-1, BE(EE)-5, BIT-11

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

Details: Providing technical support to Ultimus Customers

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