Saeed Iqbal Khattak

Saeed Iqbal Khattak

Assistant Professor

Faculty of Information Technology.

Saeed Iqbal Khattak is a Doctoral Researcher and Assistant Professor at University of Central Punjab, Lahore, Pakistan. His research interests include Deep Learning — Convolutional Neural Network (CNN), Machine Learning, Computer vision and Information Retrieval. He has a Masters in Computer Science and with more than 9 years of teaching experience in higher education institutions, in Pakistan along with developing software solutions. His research contributions also include peer-reviewed conference and journal publications as independent researcher and co-author.

  1. Web Application Development
  2. Introduction to Database Systems
  3. Web Information Retrieval
  4. Introduction to Computing
  5. Operating System

Education

  • PHD in COMPUTER SCIENCE – In Progress
    University of Central Punjab, Pakistan
  • MS in COMPUTER SCIENCE
    FAST-NUCES(National University of Computer & Emerging Science) Pakistan
  • B.S. in INFORMATION TECHNOLOGY
    PUCIT(Punjab University College of Information Technology) Lahore, Pakistan

Experiance

 University of Central Punjab Lahore, Pakistan

ASSISTANT PROFESSOR & RESEARCHER Jul. 2013 – Current
• Taught following Computer Science courses:

  • Web Information Retrieval (3 CHrs) Summer 2017
  • Web Application Development (3 CHrs) – (Summer 2017, Spring 2017, Fall 2016, Fall 2015
  • Introduction to DBMS (4 CHrs) – (Summer 2013, Fall 2015, Spring 2016, Summer 2016)
  • Operating Systems (4 CHrs) – (FALL 2013-14, Spring 2013)
  • Programming Fundamentals (4 CHrs) – (FALL 2013-14)
  • Introduction to Computing (4 CHrs)– (Spring 2014, Summer 2014,Fall 2014-15, Spring 2015)

• Researched means of retrieving a corresponding data based on contents using meta data similarity algorithm.

HPS College (Govt), Hangu Pakistan

LECTURER Sep. 2009 – Apr. 2013

  • Thought Basic Computer Science courses for B.Sc and F.Sc level
  • Gave weekly lectures to students enrolled in programming language course and introductory physics course
  • Explained complex concepts in small group setting; grade assignments and examinations.
  • Held office hours for individual student discussion
  • Responsible for 1-hour lecture and supervision of 3-hour laboratory
  • Won the 2nd prize in final evaluation.

Publications

  •  Iqbal, Saeed, and Muhammad Shaheen. ”A machine learning based method for optimal journal classification.” In Internet Technology
    and Secured Transactions (ICITST), 2013 8th International Conference for, pp. 259-264. IEEE, 2013.
  • Shaheen, Muhammad, and Saeed Iqbal. ”Labeled clustering a unique method to label unsupervised classes.” In Information Science
    and Technology (ICIST), 2013 International Conference on, pp. 210-214. IEEE, 2013.
  • Iqbal, Saeed, Shakir Ullah Shah, Mohammad Nauman, and Muhammad Amin. ”Extending Java Pathfinder (JPF) with property classes
    for verification of Android permission extension framework.” In System Engineering and Technology (ICSET), 2013 IEEE 3rd International
    Conference on, pp. 15-20. IEEE, 2013.
  • Iqbal, Saeed Imran Arshad Choudhry and Kamran Shabbir ”Verification of Android Permission Extension Framework using SPF and
    JPF” The International Journal of Computer Science and Information Security (IJCSIS) – 2016

Research Projects

  •  Skin Cancer Detector, Developing a software which can detects skin cancer from picture using
    image processing without the painful and time consuming process of laboratories and reduce the
    cost of laboratories test.
    sponsored by FIT, UCP – 2017
  • Capturing Human Action for Smart Vehicles, Develping a system that will alert the driver on such
    scenarios by tracking eye movements, head movements and gesture within specific time frames.
    sponsored by FIT, UCP – 2017
  • CMS for Graduate Student, Developing a web based software to store/managed Graduate Data
    according to NCEAC and HEC requirements
    sponsored by FIT, UCP – 2017

Certificates

Big Data and Hadoop
Udemy – 2016

  • Understanding of Big Data problems with easy to understand examples.
  • Future of Data and What triggered Big Data Technologies

Hadoop, MR, Hive and Spark
Udemy – 2016

  • Bigdata and Hadoop Ecosystem
  • Hive, Spark and Storm

Introduction to Python
Udemy – 2016

  • Basic Python
  • OpenCV, scikit-learn, numpy

Software Skills

COMPUTER PROGRAMMING

  • Java, Python, R, C, C++, JavaScript, HTML, AJAX, PHP, SQL, MySQL, Web Services, CSS, XML (DTD, Schema, DOM). and others

VERSION CONTROL AND SOFTWARE CONFIGURATION MANAGEMENT:

  • DVCS (Mercurial/MQ, Git/StGit), VCS (RCS, CVS, SVN, SCCS), and others

SOFTWARE VERIFICATION:

  • Java Pathfinder (JPF), Simple PRomela Interpreter (SPIN), NuSMV.

CLOUD COMPUTING TECHNOLOGIES:

  • Hadoop/Mapreduce (HBase, NoSQL (MongoDB, Cassandra), Mahout (Parallel Clustering/Classification Techniques)

INFORMATION/INTERNET TECHNOLOGY:

  • Networking (UDP, TCP, ARP, DNS, Dynamic routing), Services (Apache, SQL, MediaWiki, POP, IMAP, SMTP, application-specific daemon
    design).

DESKTOP EDITING AND PRODUCTIVITY SOFTWARE:

  • Vim, Eclipse
  • TEX (LaTeX, BiBTeX, PSTricks)
  • Microsoft Office, OpenOffice.org, LibreOffice, Google Docs.

MACHINE LEARNING (TEXT/IMAGES) AND COMPUTER VISION SOFTWARES:

  • Intermediate Level : Caffe, Torch, Theno
  • Open CV
  • Intermediate Level : Tika, Jackrabbit, Nutch (Lucene, Solr)


+92-42-35880007 Ext:
Faculty of Information Technology, University of Central Punjab

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