Muhammad Saboor Ahmed

Designation

Lecturer

Contact Information
Phone : 111-87-87-87 Ext: 217
www.cust.edu.pk
Profile Summary
Over the past few years, I have developed a great interest in computer science, software development, and the IT industry. However, my motivation for studying computer science took shape from very early on, when elementary school introduced me to computers. The novelty, rapid pace of change, precision and different approach to information of computer science deepened my interest in this field, leading me towards pursuing this subject in my university studies.
Qualification
PhD (in Progress) Data Mining Capital University of Science and Technology Islamabad 2015
MS Software Systems and Engineering Mohammad Ali Jinnah University Islamabad Campus PAKISTAN 2013
BS(CS) Computer Science Mohammad Ali Jinnah University Islamabad Campus PAKISTAN 2009
TEACHING EXPERIENCE
Lecturer Capital University of Science and Technology Islamabad Since - 2011
Industrial EXPERIENCE
Software Engineer Mohammad Ali Jinnah University Islamabad Campus PAKISTAN 2008 - 2011
Webmaster Mohammad Ali Jinnah University Islamabad Campus PAKISTAN 2007 - 2008
Web Designer and Developer Pak Cyber, Pvt. 30, Khurshid Alam Road Westridge-1 Rawalpindi 46000 PAKISTAN 2002 - 2004
Medical Transcriptor Data Standards Software Technology Park Islamabad. 2001 - 2002
MANAGEMENT EXPERIENCE
welcome party 2015 Capital University of Science and Technology Islamabad Since - 2015
MEMBERSHIP OF PROFESSIONAL BODIES
Member Organizing Committee (ICETM 2015)
Mohammad Ali Jinnah University Isalmabad Campus
Member Organizing Committee (ICETM 2014)
Mohammad Ali Jinnah University Isalmabad Campus
Member Organizing Committee (INMEC 2011)
Mohammad Ali Jinnah University Isalmabad Campus
Member Organizing Committee (INMEC 2009)
Mohammad Ali Jinnah University Isalmabad Campus
Research Areas / Interests
Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Although data mining is a relatively new term, the technology is not. Companies have used powerful computers to sift through volumes of supermarket scanner data and analyze market research reports for years. However, continuous innovations in computer processing power, disk storage, and statistical software are dramatically increasing the accuracy of analysis while driving down the cost.
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