I am genuinely interested in any research topic that involves data mining, machine learning, and knowledge discovery. This interest naturally extends to the intelligent software systems engineering.
Data mining and machine learning
Currently, the vast amount of devices, such as sensors, wearable and mobile devices, and various research instruments generate large amounts of temporal data which may shed a light on many real-life phenomena through previously unknown associations. However, discovering these associations requires self-learning intelligent systems that are capable of big data summarization by extracting characteristic features. I enjoy working on the design of such systems and continue experimenting with existing and development of novel temporal data mining techniques.
In my opinion, the successful software development is a result of a development discipline that is a combination of appropriate tools, techniques, attitude, and habits. An effective combination of these enables teams and individuals not only to reach their goals efficiently, but to deliver reliable and performant software systems and components. The understanding of these "magic mixtures" is my next research interest.
Accidentally, years ago, I become involved in bioinformatics after I've got a research assistant job at ASGPB -- my special thanks to Dr. Alam! Ten years later, I still work in the field. Probably the best thing about bioinformatics is the continuous collaboration with researchers from a variety of scientific disciplines - we have biologists, mathematicians, statisticians, computer scientists working within the same project. Moreover, it involves data mining, machine learning, and software engineering. And soon, as the sequencing gets cheaper and the interest for studying of genetic data dynamics forms, it will involve temporal data mining.