Dr Stamos Katsigiannis, BSc(Hons) MSc PhD FHEA
(email at firstname.lastname@example.org)
Dr Stamos Katsigiannis is an Assistant Professor in Computer Science at the Department of Computer Science of Durham University. His research interests lie in the fields of bioinformatics, health informatics, affective computing, image analysis, machine learning, image and video quality, and GPU computing.
Before joining Durham, he was a Postdoctoral Research Fellow and a Lecturer at the School of Computing, Engineering and Physical Sciences of the University of the West of Scotland, UK (2016-2020), as well as a junior researcher/PhD candidate at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens, Greece (2009-2016).
He holds a BSc (Hons.) degree in Informatics and Telecommunications from the National and Kapodistrian University of Athens, Greece, an MSc in Computer Science from the Athens University of Economics and Business, Greece, and a PhD degree in Computer Science from the National and Kapodistrian University of Athens, Greece.
- Applied machine learning
- Bio-signal processing
- Health informatics
- Affective computing
- Image/video processing
- Image/video quality
- GPU computing
- Arnau-González, Pablo, Katsigiannis, Stamos, Arevalillo-Herráez, Miguel & Ramzan, Naeem (2021). BED: A new dataset for EEG-based biometrics. IEEE Internet of Things Journal
- Alqahtani, Fehaid, Katsigiannis, Stamos & Ramzan, Naeem (2021). Using wearable physiological sensors for affect-aware Intelligent Tutoring Systems. IEEE Sensors Journal 21(3): 3366-3378.
- Katsigiannis, Stamos, Willis, Rhys & Ramzan, Naeem (2019). A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals. IEEE Transactions on Consumer Electronics 65(1): 119-127.
- Althobaiti, Turke, Katsigiannis, Stamos, West, Daune & Ramzan, Naeem (2019). Examining Human-Horse Interaction by Means of Affect Recognition via Physiological Signals. IEEE Access 7: 77857-77867.
- Katsigiannis, Stamos & Ramzan, Naeem (2018). DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices. IEEE Journal of Biomedical and Health Informatics 22(1): 98-107.
- Katsigiannis, Stamos, Scovell, James, Ramzan, Naeem, Janowski, Lucjan, Corriveau, Philip, Saad, Michele A. & Van Wallendael, Glenn (2018). Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality. Quality and User Experience 3(1): 6.
- Arnau-González, Pablo, Arevalillo-Herráez, Miguel, Katsigiannis, Stamos & Ramzan, Naeem (2018). On the influence of affect in EEG-based subject identification. IEEE Transactions on Affective Computing
- Kostopoulou, Eirini, Katsigiannis, Stamos & Maroulis, Dimitris (2015). 2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information. Computer Methods and Programs in Biomedicine 122(1): 26-39.