Academic

We live in a rapidly changing world. Traditional approaches to technology and management are disrupted with the speed of innovation. The penetration rate of new products and technologies is reduced from centuries or decades to months or even days. We are on the verge of witnessing competition between machines and humans in every area. Thanks to the increased affordability of portable devices and decreased cost of data storage, we collect data from everything, everywhere, and every time.

An article from The Economist claims that the most valuable asset of a new era is no longer "oil"; it is "data". This is true not only in some sectors or industries but in all sectors. We collect more data than ever in mining by sensors, systems, equipment, and people. However, we are using a fraction of that data in decision-making. This is contradictory, we invest to collect the data that might benefit our decisions, but we do not use them. Still, instincts are commonly used in key decision-making.


My primary work area is to transform the raw data that is collected automatically or manually for decision-making and support. To do that, the data is collected in a data warehouse and integrated, then tools like business intelligence, data mining, machine learning, and data analytics are applied to improve decisions. It is possible to reduce operational costs, increase productivity and safety through data-driven decision making.

My research interests can be found here.

A list of published academic papers and other materials can be found here.

Previous and current courses that I teach can be found here.