Staff Profile

My research topics include the following macro areas:

• Data Models
• Algorithms over Big Data Graphs
• BPM, Trace Alignments and Conformance Checking, with Data and Probabilities
• Data Integration and Inconsistency Metrics
  
• Relational Learning and Data Mining

• Recommendation Systems
• VideoGames and AI
  

For more infos, visit my personal Web Page.

I'm currently teaching topics related to Game Technology and Programming.

For more information on my past teaching duties, please visit my personal Web Page.

• CSC3232: Gaming Technologies and Simulations
• CSC8016: Advanced (Concurrent) Programming

• Articles

  • Bergami G, Zegadlo W. Towards a Generalised Semistructured Data Model and Query Language. ACM SIGWEB Newsletter 2023, 2023(Summer), 4:1-4:22.
  • Bergami G, Appleby S, Morgan G. Specification Mining over Temporal Data. Computers 2023, 12(9), 185.
  • Bergami G, Appleby S, Morgan G. Quickening Data-Aware Conformance Checking through Temporal Algebras. Information 2023, 14(3), 173.
  • Bertini F, Bergami G, Montesi D, Veronese G, Marchesini G, Pandolfi P. Predicting Frailty Condition in Elderly Using Multidimensional Socioclinical Databases. Proceedings of the IEEE 2018, 106(4), 723-737.

• Conference Proceedings (inc. Abstracts)

  • Almutairi R, Bergami G, Morgan G, Gillgallon R. Platform for Energy Efficiency Monitoring Electrical Vehicle in Real World Traffic Simulation. In: 2023 IEEE 25th Conference on Business Informatics (CBI). 2023, Prague, Czech Republic: IEEE.
  • Bergami G. KnoBAB: Making Logic Fast. In: AAAI 2023 Spring Symposium Series: On the Effectiveness of Temporal Logics on Finite Traces in AI. 2023, Palo Alto, California: AAAI.
  • Bergami Giacomo. Fast Synthetic Data-Aware Log Generation for Temporal Declarative Models. In: GRADES & NDA '23: 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). 2023, Seattle, WA, USA: ACM.
  • Appleby S, Bergami G, Morgan G. Enhancing Declarative Temporal Model Mining in Relational Databases: A Preliminary Study. In: IDEAS23: International Database Engineered Applications Symposium Conference. 2023, Heraklion, Crete, Greece: ACM.
  • Appleby S, Bergami G, Morgan G. Running Temporal Logical Queries on the Relational Model. In: IDEAS '22: Proceedings of the 26th International Database Engineered Applications Symposium. 2022, Association for Computing Machinery.
  • Al-Sharidah AA, Barati M, Bergami G, Ranjan R. Cloud Auto-scaling Auditing Approach using Blockchain. In: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). 2022, Portland, Oregon, USA: IEEE.
  • Bergami G, Maggi FM, Montali M, Peñaloza R. Probabilistic Trace Alignments. In: 3rd International Conference on Process Mining (ICPM). 2021, Eindhoven, The Netherlands: IEEE.
  • Bergami G. On Efficiently Equi-Joining Graphs. In: IDEAS 2021: 25th International Database Engineering & Applications Symposium. 2021, Montreal, Canada: ACM.
  • Agostinelli S, Bergami G, Fiorenza A, Maggi FM, Marrella A, Patrizi F. Discovering Declarative Process Model Behavior from Event Logs via Model Learning. In: 3rd International Conference on Process Mining (ICPM). 2021, Eindhoven, The Netherlands: IEEE.
  • Bergami G, Maggi FM, Marrella A, Montali M. Aligning Data-Aware Declarative Process Models and Event Logs. In: BPM 2021, International Conference on Business Process Management. 2021, Rome: Springer.
  • Bergami G, Maggi FM, Montali M, Peñaloza R. A Tool for Computing Probabilistic Trace Alignments. In: International Conference on Advanced Information Systems Engineering (CAiSE 2021): Intelligent Information Systems. 2021, Melbourne: Springer.
  • Bergami G, Bertini F, Montesi D. Hierarchical Embedding for DAG Reachability Queries. In: 24th International Database Engineering & Applications Symposium (IDEAS 2020). 2020, Seoul: Association for Computing Machinery.
  • Petermann A, Micale G, Bergami G, Pulvirenti A, Rahm E. Mining and Ranking of Generalized Multi-Dimensional Frequent Subgraphs. In: 12th International Conference on Digital Information Management (ICDIM). 2017, Fukuoka, Japan: IEEE.