- Paper 'Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction' accepted by IEEE Transactions on Wireless Communications
- Paper 'Ensembles of Informative Representations for Self-Supervised Learning' (coauthored with Profs. P. A. Traganitis, M. K. Singh, and G. B. Giannakis) won the Best Paper Award (second place) at IEEE MLSP 2024
- Paper 'Weighted Ensembles for Adaptive Active Learning' accepted by IEEE Transactions on Signal Processing
- Paper 'Active labeling for online ensemble learning' (coauthored with Profs. Q. Lu and G. B. Giannakis) won the Best Student Paper Award at IEEE SAM 2024
Research Experience
- Postdoctoral Fellow at Eric and Wendy Schmidt AI in Science, University of California San Diego, under the supervision of Prof. Tara Javidi
- Invited to give talks at various academic conferences and institutions, such as the Minnesota Robotics Institute (MnRI) and the Electrical and Computer Engineering department of the University of Georgia
Education
- Ph.D.: Department of Electrical and Computer Engineering, University of Minnesota, supervised by Prof. Georgios B. Giannakis
- Diploma: Department of Electrical and Computer Engineering, University of Patras, Greece, graduated in Sep. 2018
Background
Research interests span the areas of machine learning, statistical signal processing, network science, and data science. During his Ph.D., he worked on learning, inferring, and optimizing with just a few data, especially in contexts where privacy concerns or high sampling costs limit the amount of available input-output data. Applications include healthcare, 5G networks, and robotics.