Sergio Angelastro| PhD Student

Personal information

Address Campus Universitario
Via Edoardo Orabona, 4
70126 Bari,
Italy
E-mail sergio.angelastro_AT_uniba.it
Phone +39 080 5442298
Supervisor Prof. Stefano Ferilli
Currently working at LACAM 4th floor of Computer Science Dept.
University of Bari 'Aldo Moro'

Research Interests

- Process Mining
- Machine Learning
- Data Mining
- Process Management
- Inductive Logic Programming

Applications:
- Automatic Document Processing
- Ambient Intelligence

  • November 2016 - NOW

    PhD Student in Computer Science and Mathematics

    PhD Student in Computer Science and Mathematics at the Department of Computer Science, University of Bari (Supervisor: Prof. Stefano Ferilli).
    Curriculum: Computer Science
    Research Interest Area: Machine Learning and Data Mining
    Research Project Area: Process Mining

Qualification

  • October 2015

    Master's Degree in Computer Science

    Master's Degree in Computer Science with full marks and honors in Computer Science from University of Bari, Italy.
    Thesis Supervisors: Prof. Stefano Ferilli - Prof. Floriana Esposito.
    Thesis Title: Modularization of Complex Process Models based on Declarative Representations.
  • October 2013

    Bachelor's Degree in Computer Science and Digital Communication

    Bachelor's Degree in Computer Science with full marks in Computer Science and Digital Communication from University of Bari, Italy.
    Thesis Supervisor: Prof. Alessandro Bianchi.
    Thesis Title: Modeling the Kerberos Protocol using Colored Petri Nets.

Activities

International Journals

  • (submitted) S. Ferilli, S. Angelastro. Activity Prediction in Process Mining using the WoMan Framework, Journal of Intelligent Information System (JIIS), Integrating Artificial Intelligence and Database Technologies, Springer

Proceedings of International Conferences

  • P. Buono, A. Legretto, S. Ferilli, S. Angelastro. A Visual Analytic approach to analyze Highway Vehicular Traffic, Symposium BiWA – Big data Visualization and Visual Analytics of the 22 International Conference Information Visualisation (iV18 Italy), 10 - 13 July 2018, Università degli Studi di Salerno, Salerno, Italy
  • S. Angelastro. Incremental Mining of Predictive Process Models based on Declarative Formalism, Doctoral Consortium of XVI International Conference of Italian Association of Artificial Intelligence (AI*IA 2017), Bari, Italia, November 14-17, 2017
  • S. Ferilli, A. Pazienza, S. Angelastro, A. Suglia. A Similarity-based Abstract Argumentation Approach to Extractive Text Summarization, XVI International Conference of Italian Association of Artificial Intelligence (AI*IA 2017), Bari, Italia, November 14-17, 2017
  • S. Ferilli, D. Redavid, S. Angelastro. Activity Prediction in Process Management Using the WoMan Framework., Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2017. Lecture Notes in Computer Science, vol 10357. Springer, Cham, New York, USA, July 12 - 16, 2017
  • S. Ferilli, F. Esposito, D. Redavid, S. Angelastro. Extended Process Models for Activity Prediction, 23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017), Warsaw, Poland, June 26-29, 2017
  • S. Ferilli, F. Esposito, D. Redavid, S. Angelastro. An Expert System Approach to Eating Disorder Diagnosis, 23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017), Warsaw, Poland, June 26-29, 2017

Proceedings of International Workshops

  • S. Ferilli, S. Angelastro. Mining Chess Playing as a Complex Process, Appice A., Ceci M., Loglisci C., Masciari E., Raś Z. (eds) New Frontiers in Mining Complex Patterns. NFmcp@ECML-PKDD 2016 2016.. Lecture Notes in Computer Science, vol 10312. Springer, Cham. Riva del Garda, Italy, September 19-23, 2016

Proceedings of National Conferences

  • B. De Carolis, S. Ferilli, S. Angelastro, D. Redavid. Incremental Learning of Daily Routines in Smart Cities, I-CiTies 2017, Italian Conference on Smart Cities (I-CiTies 2017), Bari, September 27-29, 2017
  • S. Ferilli, F. Esposito, D. Redavid, S. Angelastro. Language Identification as a Process Prediction using WoMan, In: Proceedings of 13th Italian Conference on Digital Libraries (IRCDL 2017), Modena, Italy, January 26-27, 2017

Proceedings of National Workshops

  • #
2017
  • KEOD 2017 (International Conference on Knowledge Engineering and Ontology Development) Funchal, Madeira, Portugal, November 1-3, 2017
2016
  • NFmcp 2016 (15th International Workshop on New Frontiers in Mining Complex Patterns ) Riva del Garda, Italy, September 19-23, 2016
A.A. 2016-2017
  • Laboratorio di Informatica, BSc in Computer Science and Software Production Technologies (taught by Prof. Cataldo Musto)
  • Programmazione, BSc in Computer Science and Software Production Technologies (taught by Prof.ssa Antonietta Lanza)
  • Programmazione, BSc in Computer Science and Software Production Technologies (taught by Prof. Giovanni Dimauro)
A.A. 2017-2018
  • Laboratorio di Informatica, BSc in Computer Science and Software Production Technologies (taught by Prof. Cataldo Musto)
  • Laboratorio di Informatica, BSc in Computer Science and Software Production Technologies (taught by Prof. Fedelucio Narducci)

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