Foto del docente

Francesco Sovrano

PhD Student

Department of Computer Science and Engineering

Teaching tutor

Department of Computer Science and Engineering

Academic discipline: INF/01 Informatics

Curriculum vitae

Download Curriculum Vitae (.pdf 425KB )

Research Topics

  • Deep Reinforcement Learning
  • eXplainable Artificial Intelligence (XAI)
  • Trustworthy Artificial Intelligence
  • Natural Language Processing/Understanding (NLP/NLU) of Legal Resources

Studies & Experiences Abroad

  • (2022/03 - 2022/07) Research period at the University of Cambridge (UK), hosted by Prof. Amanda Prorok. Topic: Explanation-Aware Multi-Agent Reinforcement Learning. 
  • (2021/11 - 2022/03) Research period at the University of Pittsburgh (PA; USA), hosted by Prof. Kevin Ashley and Prof. Peter Brusilovsky. Topic: Adaptive e-Learning in Law.
  • (2020/03) Invited for a research visit to the University of Cambridge (UK), hosted by Prof. Amanda Prorok. Topic: improvement of the performance of reinforcement learning methods in the presence of explanations, in explanation-aware architectures.
  • (2019/07) Research period at the Stanford University (CA; US) for the European Project Marie Curie 'MIREL-MInig and REasoning with Legal texts '. Topic: automatic extraction of legal ontology design patterns starting from legal texts.

Prizes & Awards

  • (2019/05) 1st classified at "Global challenge for the Extraction and Elicitation of United Nations General Assembly Resolutions": https://unite.un.org/news/university-bologna-team-wins-first-prize-united-nations-general-assembly-resolutions-extraction

 Education & Training

  • (2018 - 2022) PhD in Data Science & Computation; Università di Bologna - Department of Computer Science and Engineering
  • (2016 - 2018) Master Degree in Computer Science; Università di Bologna
    Main subjects/occupational skills covered:
    * Machine Learning
    * Artificial Intelligence & Parallel Algorithms
    * Natural Language Processing
    * Information Retrieval & Data Mining
    * Cryptography
    * Digital Forensics
    * Complex Systems & Network Science
    * Cloud Programming
    * Usability & User Experience
    * Emerging Programming Paradigms

Work experience

  • (2022/03) Alma Human AI Centre of the University of Bologna: OCCASIONAL SELF-EMPLOYMENT CONTRACT; development of AI models applied to European legislation with the goal of defining best practices to encourage legal drafting activities and support "better regulation".
  • (2021/12) Contract on the European project LEOS - Legislation Editing Open Software.
  • (2021/09 - 2022/03) Tutoring activities related to the teaching of WEB TECHNOLOGIES [cod. 41731]. Academic Year 2021/2022 for the COMPUTER SCIENCE degree.
  • (2021/09 - 2021/12) Teaching activity. 8 hours of lessons held as part of the 'USABILITY & USER EXPERIENCE DESIGN' course, on explainable and explanatory artificial intelligence (XAI & YAI). ID-90720 (https://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2021/444904).
  • (2021/09 - 2021/11) Teaching activity. 10 hours of lessons held as part of the 'Data Science for Lawyers' course, on data analysis and visualisation and how to lie with data. ID-96482 (https://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2021/468900).
  • (2019/07 - 2021/10) Research activity within the MIREL project, funded by the Justice program of the European Union under the Grant Agreement n. 690974. “MIREL: MIning and REasoning with Legal texts” - Grant Agreement Number 690974; research activities summarized in the following scientific publications:
    1) Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR; http://dx.doi.org/10.1007/978-3-030-89811-3_12
    2) PrOnto Ontology Refinement Through Open Knowledge Extraction; http://dx.doi.org/10.3233/FAIA190326
  • (2019/09 - 2021/09) InterLex - Grant Agreement No.800839: Research activity within the InterLex project, funded by the Justice program of the European Union under the Grant Agreement n. 800839.
  • (2021/03 - 2021/05) Teaching activity. 8 hours of lessons held as part of the 'Sem. Data Science For Legal Analytic' course, on explainable and explanatory artificial intelligence (XAI & YAI). ID-94376 (https://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2020/460829).
  • (2020/09 - 2021/03) Tutoring activities related to the teaching of WEB TECHNOLOGIES [cod. 41731]. Academic Year 2020/2021 for the COMPUTER SCIENCE degree.
  • (2020/09 - 2020/12) Teaching activity. 8 hours of lessons held as part of the 'USABILITY & USER EXPERIENCE DESIGN' course, on explainable and explanatory artificial intelligence (XAI & YAI). ID-90720 (https://www.unibo.it/en/teaching/course-unit-catalogue/course-unit/2020/444904).
  • (2020/04) Consultant for CINI - Consorzio Interuniversitario Nazionale per l'Informatica: Applications in the legal field of Artificial Intelligence.
  • (2019/09) Teaching assignment in the LEX Summer School 2019.
  • (2019/09 - 2020/03) Tutoring activities related to the teaching of WEB TECHNOLOGIES [cod. 41731]. Academic Year 2019/2020 for the COMPUTER SCIENCE degree.
  • (2018/09 - 2019/03) Tutoring activities related to the teaching of PROGRAMMING [cod. 00819]. Academic Year 2018/2019 for the COMPUTER SCIENCE degree.
 

Hobby & Open-Source Software

  • In my free time I enjoy developing video-games. I published a free app on iOS e Android: a MOBA (Multiplayer Online Battle Arena) video-game called Rise of Kiruru [https://play.google.com/store/apps/details?id=com.kiruru.rok]

  • Open-source software: visit my GitHub web page [https://github.com/Francesco-Sovrano] .

Latest news

At the moment no news are available.