Organization profile

Organization profile

The Digital Technology Center (DTC) is a hub of innovation and excellence at the University in the digital technologies serving the industrial, educational, and public needs of the state and the nation. The DTC integrates research, education, and outreach in digital design, computer graphics and visualization, telecommunications, intelligent data storage and retrieval systems, distributed robotics, safety, security, and rescue, multimedia, datamining, scientific computation, wireless communications, advanced storage technologies, and other digital technologies.

Fingerprint Dive into the research topics where Digital Technology Center is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Hilbert spaces Engineering & Materials Science
Adaptive algorithms Engineering & Materials Science
Beamforming Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Adaptive filtering Engineering & Materials Science
Steepest descent method Engineering & Materials Science
Signal reconstruction Engineering & Materials Science
Subgradient Method Mathematics

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

Profiles

Photo of Georgios B Giannakis

Georgios B Giannakis

Person: Faculty, Executive, Administrative, and Managerial

19862020
Photo of Athanasios Nikolakopoulos
20132019

Projects 2013 2019

CIF: Small: Feasible Point Pursuit for Non-convex QCQPs:

Sidiropoulos, N. & Slavakis, K.

National Science Foundation

9/1/158/31/19

Project: Research project

Research

EAGER: Nonlinear and Data-Adaptive Compressive Sampling

Slavakis, K.

National Science Foundation

9/1/1311/30/15

Project: Research project

Research Output 1999 2019

1 Citation (Scopus)

AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 92-99 8 p. 8622130. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

Supervised learning
Labels
Landing
Scalability
Classifiers

Adaptive diffusions for scalable learning over graphs

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Mar 1 2019, In : IEEE Transactions on Signal Processing. 67, 5, p. 1307-1321 15 p., 8590776.

Research output: Contribution to journalArticle

Labels
Classifiers
Landing
Scalability
Topology
1 Citation (Scopus)
47 Downloads (Pure)

EigenRec: generalizing PureSVD for effective and efficient top-N recommendations

Nikolakopoulos, A., Kalantzis, V., Gallopoulos, E. & Garofalakis, J. D., Jan 8 2019, In : Knowledge and Information Systems. 58, 1, p. 59-81 23 p.

Research output: Contribution to journalArticle

File
Experiments

Prizes

MLG@KDD2019 - Best Paper Award

Athanasios Nikolakopoulos (Recipient), Aug 5 2019

Prize: Prize (including medals and awards)