The bulk of my academic and industry activity is focused on computer vision. These are some questions that I am addressing. Of course, different data, different contexts.
Biosignals and Time Series
Time series and biosignals are crucial in healthcare for continuous monitoring, early detection of anomalies, and personalized treatment plans.
Earth observation satellites generate a lot of data and most analytic solutions are automated. I briefly touched two sensitive areas of research in this field, the cloud detection and land labeling.
The liver has a complex microscopic structure. Alterations at this level affect the macroscopic properties of the liver and overall health of the human body.
Low Level Feature Extraction
To inexperienced eye, some images appear as a collection of random noise. This noise create the visual sensation of shapes and objects. I devised a way to quantify this intuition and use it to detect useful information from very “noisy” images.
Some crystalline substances under tension experiences a “flow” of its micro crystals. I devised a fairly robust Computer Vision pipeline to detect these features, automatically.
Ultrasound Medical Image Processing
Texture analysis is viewed as a method to enhance the diagnosis power of classical B-mode ultrasound image. There were many problems investigated, for most of them, the trained machine learning models reached very high level of accuracy.
Grants and papers
Chronological listing of my papers and grants: Over 40 authored and co-authored papers and 7 grants.
My activity in chronological order.