Meet the Professors – Tomi Boskovski
Posted: Mon Jan 27, 2025 3:24 am
Students at Brainster Next College will have the privilege of having biomedical engineer Tomi Boskovski as a professor, whose field of scientific interest is neuroscience, magnetic resonance, connectomics, and machine learning.
He will share his extraordinary work experience and impressive achievements in science with the students of Software Engineering and Innovation where he will teach the course Databases.
Boskovski told us that he has always been a fan of science fiction. Also, one of his character traits is curiosity, to understand how things work, and at the same time to get to know the unknown.
"I think curiosity is one of the fundamental qualities that drives science. Consequently, it came naturally to me to delve into the unknown and explore it. As for why computer science, I think I chose it precisely because rcs data south africa the fact that the knowledge gained in this field can be applied in many other different fields, in my case medicine," he says.
Impressive education – a combination of informatics and medicine
He began his studies in 2010 at the Faculty of Information Sciences and Computer Engineering, in Skopje. He graduated in 2014 with a thesis titled: "Analysis of functional connectivity in the brain from rs-fMRI data" under the supervision of Academician Prof. Dr. Ljupčo Kocarev. In his thesis, he applies statistical and machine learning methods to data obtained from functional magnetic resonance imaging, in order to detect changes in functional connectivity in the brain in patients with bipolar disorder. In his paper, he shows that patients with bipolar disorder have reduced brain activity in different regions of the brain.
After completing his undergraduate studies, in 2014 he enrolled in master's studies at the Faculty of Information Sciences and Computer Engineering in the Bioinformatics program. He completed his studies in 2015, with an average grade of 10.00. The topic of his master's thesis is "Analysis of brain data using multiplex networks and classification of neurological diseases/disorders" which he did under the mentorship of Academician Prof. Dr. Ljupčo Kocarev. In his master's thesis, he developed a new model of brain connectivity through multiplex networks that combines structural and functional connectivity in the brain. He also developed a classification model that classifies patients according to their neurological disease or disorder, based on the topological organization of the connectivity network in the brain.
He will share his extraordinary work experience and impressive achievements in science with the students of Software Engineering and Innovation where he will teach the course Databases.
Boskovski told us that he has always been a fan of science fiction. Also, one of his character traits is curiosity, to understand how things work, and at the same time to get to know the unknown.
"I think curiosity is one of the fundamental qualities that drives science. Consequently, it came naturally to me to delve into the unknown and explore it. As for why computer science, I think I chose it precisely because rcs data south africa the fact that the knowledge gained in this field can be applied in many other different fields, in my case medicine," he says.
Impressive education – a combination of informatics and medicine
He began his studies in 2010 at the Faculty of Information Sciences and Computer Engineering, in Skopje. He graduated in 2014 with a thesis titled: "Analysis of functional connectivity in the brain from rs-fMRI data" under the supervision of Academician Prof. Dr. Ljupčo Kocarev. In his thesis, he applies statistical and machine learning methods to data obtained from functional magnetic resonance imaging, in order to detect changes in functional connectivity in the brain in patients with bipolar disorder. In his paper, he shows that patients with bipolar disorder have reduced brain activity in different regions of the brain.
After completing his undergraduate studies, in 2014 he enrolled in master's studies at the Faculty of Information Sciences and Computer Engineering in the Bioinformatics program. He completed his studies in 2015, with an average grade of 10.00. The topic of his master's thesis is "Analysis of brain data using multiplex networks and classification of neurological diseases/disorders" which he did under the mentorship of Academician Prof. Dr. Ljupčo Kocarev. In his master's thesis, he developed a new model of brain connectivity through multiplex networks that combines structural and functional connectivity in the brain. He also developed a classification model that classifies patients according to their neurological disease or disorder, based on the topological organization of the connectivity network in the brain.