Luca Didaci - Associate Professor
Luca Didaci holds the position of Associate Professor of Computer Engineering at the Department of Electrical and Electronic Engineering (DIEE) of the University of Cagliari, a role he has held since November 2022. Before this, he served as an Assistant Professor at the same institution since August 2006.
He earned his Master of Science degree in Electronic Engineering in 2001 and his Doctorate in Electronic and Computer Engineering in 2005, both from the University of Cagliari.
He teaches courses on Fundamentals of Computer Science, Advanced Programming, and Industrial Software Development across various Bachelor's and Master's programs within the Faculty of Engineering and Architecture. Additionally, he serves on the board of the PhD Program in Electronic and Computer Engineering at the University of Cagliari.
Committed to academic mentorship, he has supervised over 30 undergraduate and graduate theses in Electronic Engineering and has co-supervised a doctoral candidate in the PhD program in Electronic and Computer Engineering.
Luca Didaci is a member of the Pattern Recognition and Application Lab - PRA Lab at DIEE, where he researches statistical pattern recognition. His research pursuits span diverse areas of interest, including the exploration of multiple classifier systems, semi-supervised learning, biometric recognition and security, and the analysis of EEG signals for mental state characterization through machine learning methodologies.
He has authored 42 papers published in international journals and conference proceedings, amassing over 1900 citations and achieving an h-index of 22 (source: google scholar).
He has actively contributed to numerous research projects supported by public entities such as the EU Erasmus+, FP7, and H2020 programs, as well as private enterprises. He has been responsible for the local research unit of a project funded by the Regional Administration of Sardinia, which is related to pattern recognition and quantum computation.
Luca Didaci is guest editor of the Special Issue on “Biometric Presentation Attacks: handcrafted features versus deep learning approaches (BioPAth)” (2019) of the international journal Pattern Recognition Letters, Elsevier.
He regularly acts as a reviewer for the main international journals and conferences in pattern recognition and related fields.
