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📌 KDDE lab. - IV floor
      Dept. of Computer Science
      University of Bari Aldo Moro
      Via Orabona, 4 - 70125 Bari - Italy
📞 Phone: +39 080 5442203
📧 Email: antonio.pellicani@uniba.it

Antonio Pellicani

I am a Research Assistant at the Computer Science Department, University of Bari “Aldo Moro”.
I got a PhD in Computer Science and Mathematics from the University of Bari “Aldo Moro” in 2024, discussing a thesis on “Multi-view and Multi-target Identification of Anomalies on Complex Data Types”, supervised by Prof. Michelangelo Ceci. My research activity includes bioinformatics, anomaly detection on time series data and time series forecasting.

Academic Career

  • ...
    Università degli Studi di Bari "Aldo Moro"
    Research Assistant
    February 2024 - now


Education & Background

  • ...
    Università degli Studi di Bari "Aldo Moro"
    PhD in Computer Science and Mathematics
    Supervisor: Prof Michelangelo Ceci
    November 2020 - April 2024
    Master's Degree in Computer Science
    Knowledge Engineering and Machine Intelligence
    Full Marks and Honors
    October 2017 - April 2020
    Bachelor's Degree in Computer Science
    Full Marks
    October 2013 - April 2017

  • ...
    Institut "Jožef Stefan", Ljubljana
    Research Internship
    Department of Knowledge Technologies
    January 2023 - April 2023
    Supervisor: Prof Sašo Džeroski


Organizing Committee:
  • 1st Italian Conference on Big Data and Data Science (ITADATA22) - Web Chair - Milan (Italy), September 20-21, 2022
  • 2nd Italian Conference on Big Data and Data Science (ITADATA23) - Web Chair - Naples (Italy), September 11-13, 2023
  • 3rd Italian Conference on Big Data and Data Science (ITADATA24) - Web Chair - Pisa (Italy), September 17-19, 2024

Program Committee:
  • International Conference on Machine Learning, Optimization, and Data Science (LOD 2023)
  • International Workshop on New Frontiers in Mining Complex Patterns @ECML-PKDD (NFMCP 2023)
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024)
  • European Conference on Artificial Intelligence (ECAI 2024)
  • Italian Conference on Big Data and Data Science (ITADATA 2024)

Conference Reviewing:
  • ACM/SIGAPP Symposium On Applied Computing (SAC 2021, 2022, 2023)
  • International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021, 2022, 2024)
  • International ACM Conference on Information and Knowledge Management (CIKM 2021, 2022, 2023)
  • IEEE International Conference on Data Mining (ICDM 2021, 2022, 2023)
  • International Conference on Process Mining (ICPM 2021, 2022, 2023)
  • IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2021)
  • AAAI Conference on Artificial Intelligence (AAAI 2022)
  • International Joint Conferences on Artificial Intelligence (IJCAI 2022, 2023, 2024)
  • Symposium on Advanced Database System (SEBD 2022)
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022)
  • International Conference on Machine Learning, Optimization, and Data Science (LOD 2022)
  • Conference on Computer Science and Intelligence Systems (FedCSIS 2022)
  • International Symposium on Methodologies for Intelligent Systems (ISMIS 2022)
  • International Conference on Discovery Science (DS 2022)
  • IEEE International Conference on Transdisciplinary AI (TransAI 2022)
  • International Conference on Theory and Practice of Digital Libraries (TPDL 2023)
  • IEEE International Conference on AI & Knowledge Engineering (AIKE 2023)

Journal Reviewing:
  • Medical & Biological Engineering & Computing, ISSN: Electronic: 1741-0444, Print: 0140-0118
  • Data Mining and Knowledge Discovery, ISSN: Electronic: 1573-756X, Print: 1384-5810
  • Expert System with Applications, ISSN: Electronic: 1873-6793, Print: 0957-4174
  • Computational Intelligence and Neuroscience, ISSN: Electronic: 1687-5273, Print: 1687-5265
  • Journal of Intelligent Information Systems, ISSN: Electronic: 1573-7675, Print: 0925-9902
  • Engineering Applications of Artificial Intelligence, ISSN: Electronic: 1873-6769, Print: 0952-1976
  • Machine Learning, ISSN: Electronic: 1573-0565, Print: 0885-6125
  • Frontiers in Microbiology, ISSN: Electronic: 1664-302X
International Journals
  1. HURI: Hybrid user risk identification in social networks
    Corizzo, Roberto, Pio, Gianvito, Barracchia, Emanuele Pio, Pellicani, Antonio, Japkowicz, Nathalie, and Ceci, Michelangelo
    World Wide Web 2023
  2. SAIRUS: Spatially-aware identification of risky users in social networks
    Pellicani, Antonio, Pio, Gianvito, Redavid, Domenico, and Ceci, Michelangelo
    Information Fusion 2023

Proceedings of International Conferences
  1. Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs
    Ceci, Michelangelo, Impedovo, Angelo, and Pellicani, Antonio
    In ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings 2020

Proceedings of National Conferences
  1. A Multi-Perspective Approach for Risky User Identification in Social Networks (Discussion Paper)
    Pellicani, Antonio, Pio, Gianvito, and Ceci, Michelangelo
    In Proceedings of the 31st Symposium of Advanced Database Systems (SEBD), Galzingano Terme, Italy, July 2nd to 5th, 2023
Academic Year 2022/2023

Lessons will be held every Tuesday and Thursday from 2:30 p.m. to 5:30 p.m. online on Teams.

CyberChallenge.IT 2023
17/02/2023 - 31/05/2023

CyberChallenge.IT is an educational program for young students between 16 and 23 years old. It is the major Italian initiative to identify, attract, recruit, and place the next generation of cybersecurity professionals.
Lessons will be held every Monday and Friday from 3 p.m. to 6 p.m. in Aula Magna at Computer Science Department.


Academic Year 2021/2022

Theoretical lessons will be held every Tuesday from 2:30 p.m. to 5:30 p.m. online on Teams. Practical lessons will be held every Thursday from 2:30 p.m. to 17:30 p.m. online on Teams.

CyberChallenge.IT 2022
07/03/2022 - 30/05/2022

CyberChallenge.IT is an educational program for young students between 16 and 23 years old. It is the major Italian initiative to identify, attract, recruit, and place the next generation of cybersecurity professionals.
Theoretical lessons will be held every Monday from 3 p.m. to 6 p.m. online on the [UNIBA]CyberChallenge2022 discord server. Practical lessons will be held every Friday from 3 p.m. to 6 p.m. in Aula Magna at Computer Science Department.


Academic Year 2020/2021
CyberChallenge.IT 2021
03/03/2021 - 28/05/2021

CyberChallenge.IT is an educational program for young students between 16 and 23 years old. It is the major Italian initiative to identify, attract, recruit, and place the next generation of cybersecurity professionals.
Theoretical lessons will be held every Tuesday from 3 p.m. to 6 p.m. online on the [UNIBA]CyberChallenge2021 discord server.