Staff profile

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

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

Chapter in book

• Althobaiti, Turke, Katsigiannis, Stamos, West, Daune, Rabah, Hassan & Ramzan, Naeem (2020). Machine learning-based affect detection within the context of human-horse interaction. In AI for Emerging Verticals; Human-robot computing, sensing and networking. Shakir, Muhammad Zeeshan & Ramzan, Naeem IET.
• Arnau-González, Pablo, Katsigiannis, Stamos, Arevalillo-Herráez, Miguel & Ramzan, Naeem (2020). EEG-based biometrics: Effects of template ageing. In AI for Emerging Verticals; Human-robot computing, sensing and networking. Shakir, Muhammad Zeeshan & Ramzan, Naeem IET.
• Katsigiannis, Stamos, Rabah, Hassan & Ramzan, Naeem (2020). A machine learning driven solution to the problem of perceptual video quality metrics. In AI for Emerging Verticals; Human-robot computing, sensing and networking. Shakir, Muhammad Zeeshan & Ramzan, Naeem IET.
• Arnau-González, Pablo, Katsigiannis, Stamos, Arevalillo-Herráez, Miguel & Ramzan, Naeem (2020). Artificial Intelligence for Affective Computing: An emotion recognition case study. In AI for Emerging Verticals; Human-robot computing, sensing and networking. Shakir, Muhammad Zeeshan & Ramzan, Naeem IET.
• Al-Qahtani, Meshal, Katsigiannis, Stamos & Ramzan, Naeem (2020). Information Retrieval from Electronic Health Records. In Engineering and Technology for Healthcare. Imran, Muhammad Ali, Ghannam, Rami & Abbasi, Qammer H. Wiley-IEEE Press. 117-128.
• Katsigiannis, Stamos, Ahmad, Wasim & Ramzan, Naeem (2019). 5G: Disruption in Media and Entertainment. In Enabling 5G Communication Systems to Support Vertical Industries. Wiley-IEEE Press. 179-190.
• Katsigiannis, Stamos, Keramidas, Eystratios & Maroulis, Dimitris (2013). FLBP: Fuzzy Local Binary Patterns. In Local Binary Patterns: New Variants and Applications. Springer. 149-175.
• Katsigiannis, Stamos, Papaioannou, Georgios & Maroulis, Dimitris (2013). A Real-Time Video Encoding Scheme Based on the Contourlet Transform. In Design and Architectures for Digital Signal Processing.

Conference Paper

• Arnau-González, Pablo, Serrano-Mamolar, Ana, Katsigiannis, Stamos & Arevalillo-Herráez, Miguel (2023), Towards Automatic Tutoring of Custom Student-Stated Math Word Problems, International Conference on Artificial Intelligence in Education (AIED). Tokyo, Japan.
• Okolo, Gabriel Iluebe, Katsigiannis, Stamos & Ramzan, Naeem (2022), Multi-modal lung ultrasound image classification by fusing image-based features and probe information, IEEE International Conference on BioInformatics and BioEngineering (BIBE 2022). Taichung, Taiwan, IEEE.
• Gascoigne-Burns, James & Katsigiannis, Stamos (2022), A Localisation Study of Deep Learning Models for Chest X-ray Image Classification, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Ioannina, Greece, IEEE.
• Wu, Yuyuan, Arevalillo-Herráez, Miguel, Katsigiannis, Stamos & Ramzan, Naeem (2022), On the benefits of using Hidden Markov Models to predict emotions, ACM Conference on User Modeling, Adaptation and Personalization (UMAP). Barcelona, ACM, 164-169.
• Elsafoury, Fatma, Wilson, Steven R., Katsigiannis, Stamos & Ramzan, Naeem (2022), SOS: Systematic Offensive Stereotyping Bias in Word Embeddings, 29th International Conference on Computational Linguistics (COLING 2022). Gyeongju, Republic of Korea, International Committee on Computational Linguistics, 1263-1274.
• Li, Ruochen, Katsigiannis, Stamos & Shum, Hubert P. H. (2022), Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding, 2022 IEEE International Conference on Image Processing (ICIP). Bordeaux, France, IEEE, 2346-2350.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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, 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.
• 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 & 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, 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, 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, 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.
• 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.

Journal Article

• Alzubi, Raid, Alzoubi, Hadeel, Katsigiannis, Stamos, West, Daune & Ramzan, Naeem (2022). Automated Detection of Substance-Use Status and Related Information from Clinical Text. Sensors 22(24): 9609.
• Okolo, Gabriel Iluebe, Katsigiannis, Stamos & Ramzan, Naeem (2022). IEViT: An Enhanced Vision Transformer Architecture for Chest X-ray Image Classification. Computer Methods and Programs in Biomedicine 226: 107141.
• Arevalillo-Herráez, Miguel, Segura-García, Jaume, Arnau-González, Pablo & Katsigiannis, Stamos (2022). Wrap reduction algorithm for Fringe Projection Profilometry. Optics and Lasers in Engineering 158: 107185.
• Malasinghe, Lakmini, Katsigiannis, Stamos, Dahal, Keshav & Ramzan, Naeem (2022). A Comparative Study of Common Steps in Video-based Remote Heart Rate Detection Methods. Expert Systems with Applications 207: 117867.
• Okolo, Gabriel Iluebe, Katsigiannis, Stamos, Althobaiti, Turke & Ramzan, Naeem (2021). On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays. Sensors 21(17): 5702.
• Elsafoury, Fatma, Katsigiannis, Stamos, Pervez, Zeeshan & Ramzan, Naeem (2021). When the timeline meets the pipeline: A survey on automated cyberbullying detection. IEEE Access 9: 103541-103563.
• Arnau-González, Pablo, Katsigiannis, Stamos, Arevalillo-Herráez, Miguel & Ramzan, Naeem (2021). BED: A new dataset for EEG-based biometrics. IEEE Internet of Things Journal 8(15): 12219-12230.
• Arnau-González, Pablo, Arevalillo-Herráez, Miguel, Katsigiannis, Stamos & Ramzan, Naeem (2021). On the influence of affect in EEG-based subject identification. IEEE Transactions on Affective Computing 12(2): 391-401.
• Alqahtani, Fehaid, Katsigiannis, Stamos & Ramzan, Naeem (2021). Using wearable physiological sensors for affect-aware Intelligent Tutoring Systems. IEEE Sensors Journal 21(3): 3366-3378.
• Althobaiti, Turke, Katsigiannis, Stamos & Ramzan, Naeem (2020). Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning. Sensors 20(13): 3777.
• 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.
• Kerdjidj, Oussama, Amira, Abbes, Ghanem, Khalida, Ramzan, Naeem, Katsigiannis, Stamos & Chouireb, Fatima (2019). An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform. Microprocessors and Microsystems 67: 131-139.
• 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.
• 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.
• 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, Zacharia, Eleni & Maroulis, Dimitris (2017). MIGS-GPU: Microarray Image Gridding and Segmentation on the GPU. IEEE Journal of Biomedical and Health Informatics 21(3): 867-874.
• Katsigiannis, Stamos, Zacharia, Eleni & Maroulis, Dimitris (2015). Grow-Cut Based Automatic cDNA Microarray Image Segmentation. IEEE Transactions on NanoBioscience 14(1): 138-145.
• 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.
• Katsigiannis, Stamos, Keramidas, Eustratios & Maroulis, Dimitris (2010). A Contourlet Transform Feature Extraction Scheme for Ultrasound Thyroid Texture Classification. Engineering Intelligent Systems 18(3/4).

Other (Digital/Visual Media)

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