Stamos Katsigiannis — The UWS Academic Portal

Personal profile

Overview

Dr Stamos Katsigiannis holds a B.Sc. (Hons.) in Informatics and Telecommunications from the National and Kapodistrian University of Athens, Greece, a M.Sc. in Computer Science from the Athens University of Economics and Business, Greece, and a Ph.D in Bionformatics from the National and Kapodistrian University of Athens, Greece.

Area of academic expertise - outline

His primary research interests lie in the field of biomedical image processing, video quality, affective computing and graphics processing unit (GPU) computing.

Current research activities

Postdoctoral Research fellow:

Affective computing
Video/image quality evaluation
Machine learning

Desired research direction

Deep Learning
IoT

Keywords

QA75 Electronic computers. Computer science
image analysis
video analysis
affective computing
gpu computing
bioinformatics

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2010 2019

14 Conference contribution
11 Article
2 Chapter
1 Paper

An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-health monitoring platform

Kerdjidj, O., Amira, A., Ghanem, K., Ramzan, N., Katsigiannis, S. & Chouireb, F., 11 Apr 2019, In : Microprocessors and Microsystems. 67, p. 131-139 9 p.

Research output: Contribution to journal › Article

Compressed sensing

Field programmable gate arrays (FPGA)

Data compression

Health

Monitoring

3 Downloads (Pure)

A QoE and simulator sickness evaluation of a smart-exercise-bike virtual reality system via user feedback and physiological signals

Katsigiannis, S., Willis, R. & Ramzan, N., 28 Feb 2019, In : IEEE Transactions on Consumer Electronics. 65, 1, p. 119-127 9 p.

Research output: Contribution to journal › Article

Open Access

File

Virtual reality

Simulators

Feedback

Microcontrollers

Electrocardiography

Examining human-horse interaction by means of affect recognition via physiological signals

Althobaiti, T., Katsigiannis, S., West, D. & Ramzan, N., 10 Jun 2019, In : IEEE Access. 11 p.

Research output: Contribution to journal › Article

Open Access

File

Electromyography

Electroencephalography

Electrocardiography

Learning systems

Health

Image-evoked affect and its impact on EEG-based biometrics

Arnau-González, P., Katsigiannis, S., Arevalillo-Herráez, M. & Ramzan, N., 30 Apr 2019, (Accepted/In press) 26th IEEE International Conference on Image Processing (ICIP). IEEE, 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Biometrics

Electroencephalography

Authentication

Brain

4 Downloads (Pure)

ES1D: A deep network for EEG-based subject identification

Arnau González, P., Katsigiannis, S., Ramzan, N., Tolson, D. & Arevalillo-Herráez, M., 11 Jan 2018, IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE), 2017 . IEEE, (IEEE International Conference on Bioinformatics and Bioengineering (BIBE)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

File