Rana Faisal Munir

Rana Faisal Munir

Research topicSelf-Tuning BI Systems 

 
Advisor (Home University): Alberto Abelló (UPC), Oscar Romero (UPC)
Advisor (Host University):  Wolfgang Lehner (TUD), Maik Thiele (TUD)
 
Research Interests: NoSQL, polyglot persistence, big data, semantic web, web application security
 
EDUCATION
 
Mar 2015 to the present:
Doctoral Candidate IT4BI. Polytechnic University of Catalonia (UPC), Barcelona, Spain
Nov 2008 - Mar 2012:
MS, Information Technology. National University of Sciences and Technology, Islamabad, Pakistan
Thesis title: “Enhancing Semantic Rule Engine for Semantic-based Web Application Firewall (SWAF)”
 
WORK EXPERIENCE
 
Nov 2014 - Mar 2015:
IMDEA Software Institute as Research Intern - Madrid, Spain
Jul 2014 - Nov 2014:
White Wings Technologies as Software Engineer - Islamabad, Pakistan
Feb 2012 - Jul 2014:
NESCOM as Assistant Manager (Technical) - Islamabad, Pakistan
Nov 2007 - Nov 2008:
Relax Solutions as Software Engineer - Islamabad, Pakistan
 
RESEARCH
 
Large scale data analysis is an important activity in many organizations and it is typically carried out using data-intensive workflows. Such workflows generate large intermediate results which are reusable. Materialization of these results guarantees good performance. Current solutions use a single fixed storage layout to store the intermediate results. However, the same fixed layout is not optimal in all situations. Thus, a wise selection of the layout according to the workload can give the best overall performance. In this thesis, we are working on the selection of storage layouts for storing the intermediate results by considering the workload.  

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