Area(s) of Expertisebig data analysis, visual analytics, data science, visual design metaphors, social network analysis, NLP & semantic visualization, predictive & prescriptive data analytics, UX, natural user interactions
Dr. Ajaz Hussain holds the position of ‘Post-Doctoral Research Fellow’ at OCAD University, supporting the President’s Office. He is playing a leadership role in the Visual Analytics Lab (VAL) by having research affiliation with Natural Sciences and Engineering Research Council (NSERC) CREATE Program in Data Analytics and Visualization (CREATE DAV) program in Canada. Dr. Ajaz is a multifaceted technology evangelist and renowned scientist in blended research domains who aims to chisel the information, and scientific visualizations through advanced Data Science & Visual Analytics approaches. He has earned his PhD (IT) with distinction from Politecnico di Milano (Italy) in 2015, where his research focus was identification of Social Influencers, Empirical Analysis of Social Influence, Social Networks Analysis (SNA), Sentiment Analysis, Scale-Free Networks, and Force-Directed Graphs Drawing Layouts. During his PhD, he made a significant contribution in scientific research by devising the scalable network visualization techniques, and visual influence analysis on Twitter network, which resulted into salient research publications in high impact factor ISI indexed journals and conferences. His current research work emphasis on Big Data Analysis, Visual Analytics, Data Science, Visual Design, Social Network Analysis & Visualization, Predictive and Prescriptive Data Analytics, UX and Natural User Interactions. He is playing a vital role in VAL by leading various research projects sponsored by Canadian government alliances and industrial research partners, contributing as well in a mentorship role by managing and supervising the graduate and undergraduate research assistants, and working in liaison with Research Office of OCAD U to target potential research grant opportunities. His current research enthusiasm is to extract data-driven insights from scalable, complex and multi-dimensional Big Data by leveraging Data Science Analytics & Visual Design Metaphors to reveal the affinity correlation within highly dimensional data dynamism and customers' behavioral insights via seamless UX and Natural User Interactions.
Besides having an extensive scientific research portfolio, he brings along a diversified academic and professional experience of +12 years, where he performed strategic leadership, IT advisory, and business consultancy services in various aspects of Technology Incubation and Innovation, R&D, Digital Transformation, PMO and Process Automation in major EU and non-EU Telecom, Banks, Manufacturers, and Automotive sectors.
2020 (In progress), PhD (Information Systems), UNISTRADA, Italy
2015, PhD (Information Technology), Politecnico di Milano University, Italy
2011, MS (Information Technology), NUST University, Pakistan
2005, BS (Information Technology), B.Z. University, Pakistan
2015-2018, Principal Advisor (Research & Insights), BTO Research Center, Milan, Italy
2012-2015, Research Scholar, Department of Electronics, Information, and Bio-engineering (DEIB), Politecnico di Milano (POLIMI), Milan, Italy
2012, Research Project Manager, Science and Technology Unit (STU), Umm Al-Qura University, Mecca, Kingdom of Saudi Arabia
2010-2012, Project Executive (R&D), Techaccess R&D Center, NUST University, Islamabad, Pakistan
2009-2011, Research Associate, Data Engineering Lab, NUST University, Islamabad, Pakistan
https://goo.gl/t3yxQh (Google Scholar)
Professional Affiliations / Boards / Juries
NSERC, CREATE-DAV, IEEE, MEDAlics, Poli-Hub, EM StrongTies, Springer LNCS, IFITT, DESRIST, AMIS, DATA