by Sentimenti Team | Oct 1, 2018
Artur deals with the imaging of the structure and function of the human brain. He is interested in the influence of emotions on the functioning of people, the processing of language and the plasticity of the human brain.
He works as an associate professor at the Institute of Experimental Biology of M. Nencki of the Polish Academy of Sciences. Since 2014, he has been managing the Brain Imaging Studio. He is a graduate of the Faculty of Psychology at the University of Warsaw. He defended his Ph.D. in biological sciences (specialization in psychophysiology). Artur completed his postdoctoral training at the Center Hospitalier Université Vaudois in Lausanne (Switzerland). He received a scholarship from the Minister of Science and Higher Education for outstanding young scientists (2013-2015), he is also a laureate of the SCIEX program (2010-2011) and Mentoring of the Polish Science Foundation (2014). His research work was awarded, among others, with the prize of J. Konorski (2012, 2017). He is a co-author of over 50 experimental works in international journals.
His team has developed a set of visual affective stimuli (Nencki Affective Picture System) and verbal stimuli in Polish (Nencki Affective World List).
When he does not work scientifically, he practices kitesurfing, wakeboarding or Ashtanga yoga.
by Sentimenti Team | Oct 1, 2018
Co-creator of the Polish WordNet and co-author of many tools for automatic language analysis and project manager in the clarin-pl.eu consortium.
The main areas of his scientific interests include information linguistics (or computer linguistics), natural language processing (also referred to as natural language engineering or language technologies), formal semantics (natural language) and human-computer interaction.
by Sentimenti Team | Oct 1, 2018
Specialist in the field of natural language engineering in the following research areas: information extraction, sentiment analysis and document classification with the use of machine learning methods. He works as an assistant professor at the Department of Computational Intelligence at the Faculty of Computer Science and Management of the Wrocław University of Technology. He is a member of the Language Technologies Group G4.19, which co-creates the CLARIN-PL consortium.
In the SENTIMENTI project he is responsible for the selection of lexical units from Polish WordNet, contact with a group of linguists creating descriptions of lexical units and for creating solutions using machine learning (including deep learning) for automatic recognition of emotions in text.
by Sentimenti Team | Oct 1, 2018
Psychologist in the Brain Imaging Laboratory at the Institute of Experimental Biology of Marceli Nencki PAN. Monika conducts research on healthy people using functional magnetic resonance imaging (fMRI).
The brain is her favorite part of the human body, and her research is about how emotions affect our memory and which neuronal mechanisms are involved in it. She examines the activity of the brain while remembering and recalling words related to disgust and fear, as well as their context.
She is particularly interested in the involvement of specific regions of the brain and the communication between them and the similarity of spatial activation patterns.
Kashubian by origin, a mountaineer deep in her heart.
by Sentimenti Team | Oct 1, 2018
Psychologist and researcher of the human brain working at the Institute of Experimental Biology of Marceli Nencki PAN. Małgorzata conducts research using the functional magnetic resonance (fMRI) method.
Her research interests concern the impact of emotions on the cognitive functioning of a human being. In particular, she is interested in resting-state networks, involved in the processes in question both during exposure to simple, isolated from the context stimuli, as well as in realistic conditions (e.g. when watching a movie or listening to the narration).
In the evenings, she mostly reads textbooks for statistics and programming. Sometimes she packs her bike panniers to the full and goes as far as she can.
