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Resume

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Resume

  1. 1. MS Computer System Engineering 2014 Hafiz Muhammad Zaheer ud Din Babar Date of Birth: December 30, 1992 Home Address: House # 1 Para Medical Colony, Bahawalpur, Pakistan Tel: +92-345-8742123 +92-62-2501123 Permanent Email: Itsbabar2010@hotmail.com Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi OBJECTIVE Become a good researcher and professional in my field of interest, Machine learning and Data Mining (Natural Language Processing, Text Mining, Document Classification, Feature Selection, Dimensionality Reduction in Text, Sequential Pattern Mining etc.) EDUCATION AND QUALIFICATION GIK Institute Topi, Swabi 2012 - 2014 MS Computer System Engineering (CGPA 3.48/4.0) Namal College, Mianwali (Associate College of University of Bradford, UK) 2008 - 2012 B.Sc. Computing (Percentage 73.8, First Class honor) Sadiq Egerton College, Bahawalpur 2005 - 2007 F.Sc. (Pre – Engineering Group) Board of Intermediate and Secondary Education, Bahawalpur 2003 - 2005 Matriculation (Science Group) SKILLS  Programming in Java (Using JCreator, BlueJ and Eclipse).  Using MatLab  R Language  Python (Application of Machine Leaning Models using SciKit Learn, NLTK, Pandas etc.)  Programming in C#. NET (Using MS Visual Studio).  Databases (Using MS Access, Oracle). EXPERIENCE Data Science Lab, Information Technology University, Lahore, Pakistan (May 2015-Date)  Research Associate University of Central Punjab (Sept 2014 – April 2015)  Lecturer (Taught following Introduction to Databases) Ghulam Ishaq Khan Institute (Aug 2012- May 2014) Two Year Graduate Assistantship During MS Studies in following courses with responsibilities  Intro. To Programming, Intro. To Databases and Design Patterns  Responsible for assignment quizzes grading, one to one student meeting etc. PROJECTS  Non- Redundant Intelligent Feature Selection in Document (text) Classification (Master’s- Thesis)
  2. 2. In this thesis a new feature selection algorithm has been proposed, using Mutual Information as feature ranking technique. After ranking feature on the base of Mutual Information, a new layer of operations has been added to evaluate each feature in term of provision of redundant information with respect to already selected features, but optimizing computational complexity as compared to well-known advance non- redundant feature selection techniques. Non- redundant intelligent feature selection algorithm in document classification, with optimizing computational complexity  Genetic Programming based degree constrained spanning trees extraction During my Master’s Studies, I have worked on evolutionary algorithm as well. In this regard, we proposed a new genetic programming based solution to degree constrained spanning tree problem.  Empirical and Theoretical and Comparative Study of Artificial Intelligence Techniques in Implementing Self-Healing Autonomic Systems. During my undergraduate degree, I had done a survey and comparative study of Artificial Intelligence Techniques in Implementing Self-Healing Autonomic Systems, in term of empirical and theoretical ways. PROJECTS IN PROGRESS  Context aware feature selection in textual data  Dictionary Optimization for the sparse coding of sequential patterns (In Collaboration with Mr. Thanh Lam Hoang from IBM Dublin)  Analysis on crime data of Punjab  Outliers detection in medicine supply and consumption chain at different Basic Health Units of Punjab PUBLICATIONS  Syed Fawad Hussain, Zaheer U.Babar, “Non-Redundant feature selection for document classification in the presence of label noise”, Engineering Applications of Artificial Intelligence, Elsevier (under- review).  Mansha, S., Babar, Z., Kamiran, F. and Karim, A., 2016, October. Neural Network Based Association Rule Mining from Uncertain Data. In International Conference on Neural Information Processing (pp. 129-136). Springer International Publishing.  Babar, Z., Mannan, A., Kamiran, F. and Karim, A., Understanding the Impact of Socio-Economic and Environmental Factors for Disease Outbreak in Developing Countries. In 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 124-131). IEEE.  Babar, Z., Waqas, M., Halim, Z. and Islam, M.A., 2013, September. Genetic programming based degree constrained spanning tree extraction. In Digital Information Management (ICDIM), 2013 Eighth International Conference on (pp. 241-246). IEEE.
  3. 3. RESEARCH INTERESTS  Pattern Recognition, Machine learning, Text mining, Sequential Pattern Mining  Evolutionary Computations LANGUAGES TEST  IELTS (Overall 6.5 Bands) HONOURS AND AWARDS  Awarded Partial merit based Scholarship for Master’s Studies by GIK Institute  First Class Honor in B.Sc. Computing  Dean’s Roll of honors award (B.Sc. Computing) SOCIAL ACTIVITIES AND INTERESTS  Faculty President, GIKI Graduate Student Society (Spring 2013- Spring 2014)  Event Manager, Namal Computer Society (2011) REFERENCES GIK Institute of Engineering Sciences and Technology Pakistan Dr. Syed Fawad Hussain Associate Professor, Faculty of Computer Sciences and Engineering Email: fawadhussain@giki.edu.pk Dr. Zahid Halim Associate Professor, Faculty of Computer Sciences and Engineering Email: zahid.halim@giki.edu.pk Namal College Mianwali (Associate college of the University of Bradford UK) Dr. Malik Jahan Khan Assistant Professor, Department of Computer Science Email: malik.jahan@namal.edu.pk

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