Medical Information Sciences Vortragsreihe (2 CME Punkte) Referent: Dr. Yekta Said Can

Place: Lecture Hall N2045 (Faculty of Applied Informatics) and Livestream: Hauptgebäude des UKA (Abschnitt A, 1. OG, Raum 366)

Date: November 7th 2023 (starting 5:30 pm)

Abstract

The detrimental effects of mental stress on human health have been known for decades, and it has now developed into a major concern in our modern society, where it is regarded as a rising problem and an inevitable part of our everyday life. Psychological stress was shown to be separated into two types: acute and chronic. If stress is not recognized early, it can lead to a variety of diseases and major health problems, including hypertension and coronary disease, irritable bowel syndrome, gastroesophageal reflux disease, generalized anxiety disorder, and depression. In this talk, we will mention some experiments for recognizing stress by using unobtrusive wearables in different environments such as laboratory, real-life events and in the wild. Privacy preserving stress recognition approaches will be also explained. We will also talk about methods for alleviating stress and their performances for decreasing stress levels.

Referent:  Dr. Yekta Said Can (Lehrstuhl für Menschzentrierte Künstliche Intelligenz, Universität Augsburg)

Kurzbiographie

Dr. Yekta Said Can received the B.Sc., M.Sc., and Ph.D. degrees from Bogaziçi University, Istanbul, Turkey, in 2012, 2014, and 2020, respectively. He has worked as a Teaching Assistant at Bogaziçi University for six years during his Ph.D. After obtaining his Ph.D. degree, he worked as a Postdoctoral Researcher in a European Union’s Horizon 2020 ERC project (UrbanOccupations) for applying computer vision techniques to retrieve information from historical documents for two years. He is currently working on recognizing emotions and stress at the University of Augsburg as a Postdoctoral Researcher. His research interests include biometrics, document analysis, physiological signal processing, affective and wearable computing, and machine learning.

www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/bioinf/vortragsreihe-mis/