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. 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. 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