Bogdan's Research

General Interests

Overview

Since 1991, when I came to Pitt, I went through several research and graduate projects working mostly on signal and image processing, nonlinear system identification and modeling, and fuzzy sets and systems. Applications were primarily in the biomedical engineering field. I consider it a challenge to work on signals and systems that are real, possibly coming from the living organisms. Period prior to 1991 is covered in my CV.

In our work at LCN, one cannot adjust the parameters of simulation or the project requirements to suit the imperfections of fancy theoretical results. One has to deal with reality. And reality is harsh! Signals are corrupted with noise which is anything but Gaussian. The amount of data is very large, e.g. a typical EEG recording is 9 hours long, sampled at 128Hz, resulting in 4.1 million of 12-bit samples per channel per night per subject. These signals have to be preprocessed, transformed, and analyzed automatically, focusing only at the most relevant aspects of interest.

So, what does one do in such a situation? Well, .....you may find interesting to read what did we do about it.

Technical Details

The following are some of the topics, results and projects I am currently working on. My intention was to provide simple explanations to theoretical concepts behind my work in order to bring you the basic ideas and motivations.

LCN: Laboratory for Computational Neuroscience


Bogdan R. Kosanovic