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My research interests span the areas of robotics, HRI, multiagent systems, machine learning, and time series analysis.
I worked in academia, small startups, research companies, and research institutes collaborating with engineers, psychologists, and mathematicians.
Since 2010, I taught at all levels from freshmen courses to advanced PhD level courses in computer science, informatics, applied mathematics, software engineering, mechatronics, and robotics.
And, I am still learning ...
Time-series are everywhere. My research related to TSA focuses mostly on change point discovery, motif discovery and causality analysis. We developed several algorithms for each of these problems that are appropriate under a wide variety of circumstances.
There is no escaping ML these days. Over the years, we utilized ML for solving several problems in robotics, time-series analysis, pyshiopsychological signal analysis, activity recognition, etc. Most of our work in this area is of applied nature.