- DIVISION OF CLINICAL BEHAVIOURAL SCIENCES
- DIVISION OF MEDICAL EDUCATION DEVELOPMENT AND COMMUNICATION
- APPLIED DATA SCIENCE AND ARTIFICIAL INTELLIGENCE GROUP
- HEALTH BEHAVIOUR RESEARCH GROUP
- COGNITIVE NEUROSCIENCE RESEARCH GROUP
Our Division includes a wide range of clinical researches. Understanding the biopsychosocial and social background of neurological, internal medicine, and psychiatric disorders are at the focus of our research. Studies of the groups are multidisciplinary, these involve the knowledge from cognitive psychology, neurology, philosophy, ethics, psychosomatics, and psychiatry. Our main research fields are the follows: clinical neuropsychology, health psychology, ethics, psychotherapy. The clinical neuropsychological research focuses on the cognitive background of Parkinson's disease and temporal lobe epilepsy. Health psychological research is interested in the internal (diabetes, cardiovascular) disease. The main research field of Ethics is to understand the ethical questions of genetical interventions. The research of the psychotherapy studies the effective treatment of rehabilitation on neurotic disorders.
Dr. Kázmér Karádi (leader, firstname.lastname@example.org)
Dr. István Tiringer (leader, email@example.com)
Dr. Beáta Laki
Dr. Nagy Alexandra (external expert, psychologist at Balatonfüred State Heart Hospital)
Borbély Csaba (external expert, neuropsychologist at National Institute of Neuroscience)
Kisander Zsolt (correspondence PhD student)
Main activity: research on educational development
The department investigates aspects of health education (especially in general medical and dental education) that can be used to improve the knowledge transfer and acquisition. It does so to prepare students for the challenges of working in the healthcare sector and to provide professional care to patients throughout their training. Our research interests include the measurement of the effectiveness of specific learning and teaching methods, and the adaptation of examination methods used in international practice. More comprehensive research on training includes the measurement of soft-skills acquisition as defined in the Training and Qualification Requirements, the assessment of the admission process and the learning environment. With regards to practical utility, exploratory, observational, and experimental studies are being carried out using quantitative and qualitative measurement methods. In addition, we are actively involved in sharing the results of our research. Our research group is open to applications from undergraduate and PhD students, as well as from academics and administrators interested and committed to the topic.
Prof. Dr. Füzesi Zsuzsanna
Dr. Csathó Árpád
Dr. Fischer Krisztina (consultant, Harvard Medical School)
Dr. Varga Zsuzsanna
Dr. Czopf László
Dr. Csaba Gergely, PhD student
Dr. Gács Boróka
Dr. Nóra Faubl
Dr. Schlégl Ádám
Dr. Pintér Zsolt, PhD students
Applied Data Science and Artificial Intelligence Group (ADSAIG) at the University of Pécs focuses on large-scale data management, data mining and data analysis using technologies from data handling, statistical machine learning and deep learning. The goals of this group are to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization in many fields of interest. We have good relationships with several industrial partners like Microsoft, IBM, Arrow, ESTS We also have a fruitful cooperation with Faculty of Informatics at University of ELTE.
Dr. Ádám Feldmann (firstname.lastname@example.org)
We are interested in acquiring a further understanding of health behaviour, with a particular emphasis on mental health and work-life/study-life balance. Practical utilization of our research is also important for us, thus we use study results to develop interventions and trainings in order to help students and medical staff members live a healthier lifestyle and master their career challenges. Besides self-report methods, we also use various qualitative study designs to advance the scientific understanding of the interactions among biological, physical and psychosocial aspects of health behaviour and intercultural competences of medical students and medical staff members (e.g.: doctors, nurses, etc.). We are also interested in studies about significant predictors of career preferences and academic success of medical students. You are welcome to join us and conduct studies as part of your thesis-work, research project or PhD.
Dr. Béla Birkás (leader, email@example.com)
Dr. Nóra Faubl
Prof. Dr. Zsuzsanna Füzesi
Dr. Boróka Gács
The Group combines the methods of neuroscience and cognitive psychology to explore many aspects of human BEHAVIOUR. The methods incorporate the procedures of functional brain imaging, electrophysiology, and psychophysics. Of the current research activities, three directions can be highlighted. First, many experiments are addressed to the neurocognitive characteristics of acute sensation of pain, and acute mental fatigue. Second, we explore the widespread phenomena of internet and smart-phone addiction. Our main question is that how the excessive, addictive use of these info-communication technologies affects the structure and the function of the nervous system. Finally, in a Lab dedicated to virtual reality research, we extensively investigate individuals with tasks performed in virtual reality. In virtual reality, the body may be present in two places at the same time. Our projects are addressed to revealing normal and psychopathological responses to this artificial self-duplication both in clinical and non-clinical populations. The Group welcomes applications for undergraduate research and doctoral studies.
Prof. Dr János Kállai (leader, firstname.lastname@example.org)
Dr. Árpád Csathó (leader, email@example.com)
Dr. Gergely Darnai
Dr. András Matuz