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Personal profile

Education/Academic qualification

Electrical and Mechanical Engineering, BS, Aristotelian University of Thessaloniki

Electrical Engineering, MS, Georgia Institute of Technology

Electrical Engineering, PhD, Georgia Institute of Technology

Research interests

  • Computer vision
  • DNA signal processing
  • Multimedia communications
  • Multimedia signal processing
  • Pattern recognition

Fingerprint Dive into the research topics where Aggelos K Katsaggelos is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 10 Similar Profiles
Image reconstruction Engineering & Materials Science
Restoration Engineering & Materials Science
restoration Physics & Astronomy
Image resolution Engineering & Materials Science
Deconvolution Engineering & Materials Science
Image coding Engineering & Materials Science
Pixels Engineering & Materials Science
Video streaming Engineering & Materials Science

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

Grants 1996 2023

infrastructure
sensor
software
ecology
urban ecosystem
astrophysics
gravitational waves
neutron stars
predictions
LIGO (observatory)
land use change
remote sensing
biofuel
imagery
sustainability

Research Output 1983 2020

DeepBinaryMask: Learning a binary mask for video compressive sensing

Iliadis, M., Spinoulas, L. & Katsaggelos, A. K., Jan 2020, In : Digital Signal Processing: A Review Journal. 96, 102591.

Research output: Contribution to journalArticle

Compressive Sensing
Mask
Masks
Binary
Sensing

Deep Learning Method to Detect Plaques in IVOCT Images

Cheimariotis, G. A., Riga, M., Toutouzas, K., Tousoulis, D., Katsaggelos, A. & Maglaveras, N., Jan 1 2020, Future Trends in Biomedical and Health Informatics and Cybersecurity in Medical Devices - Proceedings of the International Conference on Biomedical and Health Informatics, ICBHI 2019. Lin, K-P., Magjarevic, R. & de Carvalho, P. (eds.). Springer, p. 389-395 7 p. (IFMBE Proceedings; vol. 74).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical tomography
Pixels
Catheters
Processing
Lipids

Flow Convergence Area Estimation on In Vitro Color Flow Doppler Images Using Deep Learning

Cheimariotis, G. A., Haris, K., Lee, J., White, B. E., Katsaggelos, A. K., Thomas, J. D. & Maglaveras, N., Jan 1 2020, 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019. Henriques, J., de Carvalho, P. & Neves, N. (eds.). Springer, p. 285-291 7 p. (IFMBE Proceedings; vol. 76).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Flow rate
Color
Pathology
Orifices
Neural networks

Teaching citizen scientists to categorize glitches using machine learning guided training

Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., Coughlin, S., Kalogera, V., Katsaggelos, A., Larson, S., Rohani, N., Smith, J., Trouille, L. & Zevin, M., Apr 2020, In : Computers in Human Behavior. 105, 106198.

Research output: Contribution to journalArticle

Open Access
Learning systems
Volunteers
Teaching
Learning
Gravitation

A composite discriminator for generative adversarial network based video super-resolution

Wang, X., Lucas, A., Lopez-Tapia, S., Wu, X., Molina, R. & Katsaggelos, A. K., Sep 2019, EUSIPCO 2019 - 27th European Signal Processing Conference. European Signal Processing Conference, EUSIPCO, (European Signal Processing Conference; vol. 2019-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Discriminators
Composite materials
Experiments