Muhammad Bilal Nasir is a graduate of Purdue University – USA with deans list and student honor. He is a full merit scholarship holder from ITU throughout his Master in CS. Mr. Bilal Nasir has several years of work experience from IT industry of Pakistan as well as USA and holding few industry certifications. Since 2014, Mr. Bilal Nasir is committed as research associate at Data Science Lab in research projects and teaching assistance ship for data mining courses. Recently worked on a number of research papers for AAAI conferences and leading journals. His current research interests include, Big Data Frameworks, Streaming Data Analytics, Social Media Mining, Text Mining, Media Quantification, Sentiment Analysis, Behavioral Data Mining.
Project: Media Bias Quantification and Visualization
Media bias is due to number of factors and ubiquitous. Only little research has been done to quantify tendentiousness of the news media sources. To visualize and quantify relative bias and an absolute bias, on text feeds of news sources, we developed and propose new models which are an amalgam of multiple data mining, text mining and sentiment analysis techniques. Other projects at Data Science Lab ITU includes, tag based picture recommend-er system, twitter text processing and sentiment analysis.