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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
Video streaming Engineering & Materials Science
Pixels Engineering & Materials Science

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

Grants 1996 2023

urban ecosystem
gravitational waves
neutron stars
LIGO (observatory)
land use change
remote sensing

Research Output 1983 2019

1 Citation (Scopus)

Automatic characterization of plaques and tissue in IVOCT images using a multi-step convolutional neural network framework

Cheimariotis, G. A., Riga, M., Toutouzas, K., Tousoulis, D., Katsaggelos, A. K. & Maglaveras, N., Jan 1 2019, In : IFMBE Proceedings. 68, 1, p. 261-265 5 p.

Research output: Contribution to journalConference article

Optical tomography
Neural networks
1 Citation (Scopus)

Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning

Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., Jackson, C., Noroozi, V., Allen, S., Areeda, J., Coughlin, M., Ruiz, P., Berry, C. P. L., Crowston, K., Katsaggelos, A. K., Lundgren, A., Østerlund, C., Smith, J. R., Trouille, L. & Kalogera, V., Apr 15 2019, In : Physical Review D. 99, 8, 082002.

Research output: Contribution to journalArticle

LIGO (observatory)
machine learning
gravitational waves

Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD

Dehmamy, N., Rohani, N. & Katsaggelos, A. K., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3232-3236 5 p. 8682781. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

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

Deep neural networks
4 Citations (Scopus)

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

Lucas, A., Lopez-Tapia, S., Molina, R. & Katsaggelos, A. K., Jul 1 2019, In : IEEE Transactions on Image Processing. 28, 7, p. 3312-3327 16 p., 8629024.

Research output: Contribution to journalArticle

Image reconstruction
Neural networks

Knowledge Tracing to Model Learning in Online Citizen Science Projects

Crowston, K., Oesterlund, C., Lee, T. K., Jackson, C., Harandi, M., Allen, S., Bahaadini, S., Coughlin, S., Katsaggelos, A. K., Larson, S. L., Rohani, N., Smith, J., Trouille, L. & Zevin, M., Jan 1 2019, (Accepted/In press) In : IEEE Transactions on Learning Technologies.

Research output: Contribution to journalArticle

model learning
Systems science
Image classification