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Dr Stamos Katsigiannis

Assistant Professor

BSc(Hons) MSc PhD FHEA


Affiliations
AffiliationRoom numberTelephone
Assistant Professor in the Department of Computer ScienceMCS 2019 

Biography

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.

Google Scholar Profile

Research interests

  • Applied machine learning
  • Bioinformatics
  • Bio-signal processing
  • Health informatics
  • Image/video processing
  • Affective computing
  • Image/video quality
  • GPU computing

Publications

Chapter in book

Conference Paper

  • Elsafoury, Fatma, Katsigiannis, Stamos, Wilson, Steven & Ramzan, Naeem (2021), Does BERT pay attention to cyberbullying?, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Online, ACM, 1900-1904.
  • Katsigiannis, Stamos, Arnau-González, Pablo, Arevalillo-Herráez, Miguel & Ramzan, Naeem (2021), Single-channel EEG-based subject identification using visual stimuli, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Online, IEEE.
  • Blakey, William A., Katsigiannis, Stamos, Hajimirza, Navid & Ramzan, Naeem (2020), Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking, IS&T International Symposium on Electronic Imaging. Burlingame, CA, USA, Society for Imaging Science and Technology, 129-1-129-9.
  • Arnau-González, Pablo, Katsigiannis, Stamos, Arevalillo-Herráez, Miguel & Ramzan, Naeem (2019), Image-Evoked Affect and its Impact on EEG-Based Biometrics, IEEE International Conference on Image Processing (IEEE ICIP). Taipei, Taiwan, IEEE.
  • Alqahtani, Fehaid, Katsigiannis, Stamos & Ramzan, Naeem (2019), On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems, 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE). Athens, Greece, IEEE.
  • Alqahtani, Fehaid, Katsigiannis, Stamos & Ramzan, Naeem (2019), ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems, 4th International Conference on UK/China Emerging Technologies (UCET). Glasgow, United Kingdom, IEEE.
  • Kostopoulou, Eirini, Katsigiannis, Stamos & Maroulis, Dimitris (2019), SpotDSQ: A 2D-Gel Image Analysis Tool for Protein Spot Detection, Segmentation and Quantification, 19th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE). Athens, Greece, IEEE.
  • Arevalillo-Herráez, Miguel, Chicote-Huete, Guillermo, Ferri, Francesc, Ayesh, Aladdin, Boticario, Jesús, Katsigiannis, Stamos, Ramzan, Naeem & Arnau-González, Pablo (2019), On using EEG signals for emotion modeling and biometrics, 33rd European Simulation and Modelling Conference (ESM). Palma de Mallorca, Spain.
  • Alzahrani, Ibrahim R., Ramzan, Naeem, Katsigiannis, Stamos & Amira, Abbes (2018), Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement, 5th International Symposium on Data Mining Applications (SDMA). Riyadh, Saudi Arabia, Springer.
  • Malasinghe, Lakmini, Katsigiannis, Stamos, Ramzan, Naeem & Dahal, Keshav (2018), Remote Heart Rate Extraction Using Microsoft KinectTM v2.0, 10th International Conference on Bioinformatics and Biomedical Technology (ICBBT). Amsterdam, Netherlands, ACM.
  • Althobaiti, Turke, Katsigiannis, Stamos, West, Daune, Bronte-Stewart, Malcolm & Ramzan, Naeem (2018), Affect Detection for Human-Horse Interaction, 21st Saudi Computer Society National Computer Conference (NCC). Riyadh, Saudi Arabia, IEEE.
  • Alzubi, Raid, Ramzan, Naeem, Alzoubi, Hadeel & Katsigiannis, Stamos (2018), SNPs-based Hypertension Disease Detection via Machine Learning Techniques, 24th International Conference on Automation and Computing (ICAC). Newcastle upon Tyne, United Kingdom, IEEE.
  • Arnau-González, Pablo, Althobaiti, Turke, Katsigiannis, Stamos & Ramzan, Naeem (2017), Perceptual video quality evaluation by means of physiological signals, 9th International Conference on Quality of Multimedia Experience (QoMEX). Erfurt, Germany, IEEE.
  • Katsigiannis, Stamos, Dimitsas, Vasilis & Maroulis, Dimitris (2015), A GPU vs CPU performance evaluation of an experimental video compression algorithm, 7th International Workshop on Quality of Multimedia Experience (QoMEX). Pylos, Greece, IEEE.
  • Kostopoulou, Eirini, Katsigiannis, Stamos & Maroulis, Dimitris (2015), A custom grow-cut based scheme for 2D-gel image segmentation, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC). Milan, Italy, IEEE.
  • Kostopoulou, Eirini, Katsigiannis, Stamos, Maroulis, Dimitris, Pappa, K. I. & Anagnou, N. P. (2015), A novel approach for accurate 2D-gel image segmentation, 10th Conference of the Hellenic Society for Computational Biology & Bioinformatics. Athens, Greece.
  • Kostopoulou, Eirini, Katsigiannis, Stamos, Maroulis, Dimitris, Pappa, K. I. & Anagnou, N. P. (2015), Spot detection in 2D-gel electrophoresis images, 6th Panhellenic Conference on Biomedical Technology (ΕΛΕΒΙΤ). Athens, Greece.
  • Katsigiannis, Stamos, Maroulis, Dimitris & Papaioannou, Georgios (2013), A GPU based real-time video compression method for video conferencing, 18th International Conference on Digital Signal Processing (IEEE DSP). Santorini, Greece, IEEE.
  • Katsigiannis, Stamos & Maroulis, Dimitris (2013), Parallel computing techniques for performance enhancement of a cDNA microarray gridding algorithm, IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT). Athens, Greece, IEEE.
  • Katsigiannis, Stamos, Zacharia, Eleni & Maroulis, Dimitris (2013), Enhancing the performance of a microarray gridding algorithm via GPU computing techniques, 13th IEEE International Conference on BioInformatics and BioEngineering (IEEE BIBE). Chania, Greece, IEEE.
  • Katsigiannis, Stamos, Papaioannou, Georgios & Maroulis, Dimitris (2012), A contourlet transform based algorithm for real-time video encoding, SPIE Photonics Europe, Real-Time Image and Video Processing 2012. Brussels, Belgium, SPIE.
  • Katsigiannis, Stamos (2010), Contourlet Transform and Support Vector Machines for Image Analysis and Processing, 1st International Conference for undergraduate and graduate students in Informatics and Related Applications (EUREKA! 2010). Patras, Greece.
  • Katsigiannis, Stamos, Keramidas, Eystratios G. & Maroulis, Dimitris (2010), Contourlet Transform for Texture Representation of Ultrasound Thyroid Images, 6th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI 2010). Larnaca, Cyprus, Springer.

Journal Article

Other (Digital/Visual Media)

  • Katsigiannis, Stamos, Papaioannou, Georgios & Maroulis, Dimitris (2015). CVC: The Contourlet Video Compression algorithm for real-time applications.

Supervision students