Sample page The facts are real. The words are stand-ins — yours go in their place.
Daljeet Singh
A question that would not go away, a method that had to be built twice, and the hour in which all of it is defended in public.
“Towards Microwave Based Monitoring of Brain Thermo-Fluid Dynamics”
Three questions
Why this topic?
It began with something that bothered me and would not leave me alone. The field had an answer already, and I did not believe it.
What surprised you?
How often the interesting result was the one I was not looking for, and how long it took me to stop treating it as noise.
What happens after the defense?
Sleep, first. Then finding out whether what I learned survives outside the university.
In their words“At the start I thought I knew the answer. By the third year I knew I had not understood the question.”
About the thesis
The human brain is a central organ whose complex biological processes closely reflect the health and well-being of an individual. The temporal and spatial variations of thermal and hemodynamic states of the brain are of utmost clinical importance for both intensive care patients as well as healthy subjects. Microwave-based techniques are promising for such applications because they provide non-ionizing, non-invasive sensing with low system cost, compact and portable hardware, and tunable tissue penetration capabilities. The primary objective of this thesis is to develop a Machine Learning (ML) powered microwave system for non-invasive thermal and hemodynamic monitoring of the brain. The quantitative and automatic method proposed in this work is based on two-level features extracted from the magnitude and phase response of microwave sensors. The proposed method ensures an automatic, near-real-time operation using a unique Ordered Selection Scheme (OSS).
Selected work
Listed from the University of Oulu agenda.