Stamos Katsigiannis

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 Computer Science (biomedical image and general purpose video processing) from the National and Kapodistrian University of Athens, Greece.

Area of academic expertise - outline

His primary research interests lie in the field of applied machine learning, 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
Biosignal analysis

Desired research direction

Deep Learning
IoT

Keywords

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

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2019

15 Conference contribution
11 Article
2 Chapter

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., 30 Jun 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

82 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

73 Downloads (Pure)

ECG-based affective computing for difficulty level prediction in intelligent tutoring systems

Alqahtani, F., Katsigiannis, S. & Ramzan, N., 24 Oct 2019, 4th International Conference on UK - China Emerging Technologies (UCET). IEEE, 4 p.

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

Open Access

File

Intelligent systems

Electrocardiography

Experiments

101 Downloads (Pure)

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. 7, p. 77857-77867 11 p.

Research output: Contribution to journal › Article

Open Access

File

Electromyography

Electroencephalography

Electrocardiography

Learning systems

Health

86 Downloads (Pure)

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

Arnau-González, P., Katsigiannis, S., Arevalillo-Herráez, M. & Ramzan, N., 26 Aug 2019, 2019 IEEE International Conference on Image Processing : Proceedings. IEEE, p. 2591-2595 5 p. (IEEE Conference Proceedings).

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

Open Access

File

Biometrics

Electroencephalography

Authentication

Brain