Alessandro Sebastian Podda

PeerJ Editor & Author

Summary

Alessandro Sebastian Podda is a tenure-track Assistant Professor (RTT) at the Department of Mathematics and Computer Science of the University of Cagliari, and he is accredited by the Italian Ministry of University and Research for Associate Professor positions in the scientific sectors 01/B1 (Informatics) and 09/H1 (Computer Engineering). He received a master's degree in Computer Science from the University of Cagliari (cum laude) in 2014 and he got a PhD in Mathematics and Computer Science with a thesis entitled "Behavioural contracts: from centralized to decentralized implementations" in 2018. In 2017, he has been visiting scientist at the Laboratory of Cryptography and Industrial Mathematics of the University of Trento. In 2021, he was formally commissioned to a six month collaboration with the Ispra Joint Research Center (JRC) of the European Commission under the research tender ref. JRC/IPR/2020/VLVP/2916.

Currently, Alessandro Sebastian Podda is Research Unit Coordinator (AI for eHealth and Smart Cities) at the Artificial Intelligence and Big Data Laboratory and former member of the Blockchain Laboratory. He has been also the Work Package Lead of the Doutdes and Sardcoin projects and participates/d in several research projects including AlmostAnOracle, Nomad, Safespotter, Social Glue and Mister. To date, he has been the co-author of no. 18 articles in international journals in the field of computer science, no. 16 conference and workshop proceedings, and 1 book chapter, for which he has over 1450 citations on Google Scholar and over 900 on Scopus, as well as a speaker (eg. LOD 2022, ICCSA 2021, PerAwareCity 2021, MaDaIN 2020, FACS 2015, etc.), co-chair (AISC 2021/2022, HUMAD 2024) and program committee member at numerous international scientific events (eg. HT2022, LOD 2021/2022/2023/2024, IEEE HPCC 2022, IEEE CPS-COM 2021, etc.).

Alessandro Sebastian Podda has been a Member of the Association of Computing Machinery (ACM) and of the Institute of Electrical and Electronics Engineers (IEEE).

Artificial Intelligence Data Mining & Machine Learning Data Science Natural Language & Speech