Riccardo Cantini

Riccardo Cantini

Researcher (RTDA)

DIMES, University of Calabria

Short Bio

Riccardo Cantini is a researcher (RTDA) at the Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria. He graduated magna cum laude in Computer Engineering in 2019, and obtained his Ph.D. in Information and Communication Technologies in 2023, awarded with the Doctor Europaeus label. In 2018 he joined the Scalable Computing and Cloud Laboratory (SCALab), and between 2021 and 2022 he worked as visiting researcher at the Barcelona Supercomputing Center (BSC-CNS). Since 2019 he has been contract professor at the DIMES Department.
His research interests include social media and big data analysis, machine and deep learning, sentiment analysis and opinion mining, natural language processing, topic detection, edge computing, and high-performance data analytics.

Education

  • Ph.D. Europaeus in Information and Communication Technologies, 2023

    University of Calabria

  • M.Sc. in Computer Engineering, 2019

    University of Calabria

  • B.Sc. in Computer Engineering, 2016

    University of Calabria

Recent Publications

Block size estimation for data partitioning in HPC applications using machine learning techniques

The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In …
Block size estimation for data partitioning in HPC applications using machine learning techniques

Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT

Every day, many people use social media platforms to share information, thoughts, narratives and personal experiences. The vast volume of user-generated content offers valuable …
Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT

Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs

In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, …
Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs

Contact

  • riccardo.cantini@unical.it
  • Cubo 41C, 5th floor, via P. Bucci, Rende (CS), Calabria 87036
  • Office hours: send an email or contact me via Microsoft Teams to request a meeting