Staff Profile

My research topics include the following macro areas:

• Verified and Explainable Artificial Intelligence (Temporal, Natural Language Processing)
• Multimodal and Object-Oriented Database Theory and Query Languages
• Inconsistency Metrics

In particular, I have interest in applying those concepts in the following practical scenarios:

• Recommendation Systems
• Data Analytics
• Evolutionary Microservice Architectures for/with Data Science
• Zero Model-Fitting (no Neural Network, no Bayesian Model, no Markov Logic Network) AI

For more infos, visit my group 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.

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

• Articles

  • Bergami G. Towards automating microservices orchestration through data-driven evolutionary architectures. Service Oriented Computing and Applications 2024, 18(1), 1.
  • Bergami G. Streamlining Temporal Formal Verification over Columnar Databases. Information 2024, 15(1), 34.
  • Almutairi RMS, Bergami G, Morgan G. SimulatorBridger: System for Monitoring Energy Efficiency of Electric Vehicles in Real-World Traffic Simulations. Journal of Engineering Research and Sciences 2024, 3(6), 33-40.
  • Bergami G, Fox OR, Morgan G. Matching and Rewriting Rules in Object-Oriented Databases. Mathematics 2024, 12(17), 2677.
  • Bergami G. DECLAREd: A Polytime LTL_f Fragment. Logics 2024, 2(2), 79-111.
  • Almutairi RMS, Bergami G, Morgan G. Advancements and Challenges in IoT Simulators: A Comprehensive Review. Sensors 2024, 25(5), 1511.
  • Bergami G, Zegadlo W. Towards a Generalised Semistructured Data Model and Query Language. ACM SIGWEB Newsletter 2023, 2023(Summer), 4.
  • 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)

  • Gillgallon RCP, Bergami G, Morgan G. Testing Routing Strategies by Simulating the Mobile IoT Edge/Cloud Continuum. In: IEEE International Smart Cities Conference (ISC2). 2024, Pattaya, Thailand: IEEE. In Press.
  • Almutairi R, Bergami G, Morgan G. Systematic Literature Review of VANET Simulators: Comparative Analysis, Technological Advancements, and Research Challenges. In: 2024 International Symposium on Parallel Computing and Distributed Systems (PCDS2024). 2024, Singapore: IEEE.
  • Almutairi RMS, Bergami G, Morgan G. SimulatorBridgerDfT: A Real-Data Simulator for IoT-Osmotic Interactions. In: The 12th International Conference on Information Technology: IoT and Smart City. 2024, Kualal Lumpur, Malaysia: ACM. In Press.
  • Bergami G, Packer E, Scott K, Del Din S. Predicting Dyskinetic Events through Verified Multivariate Time Series Classification. In: The 28th International Database Engineered Applications Symposium. 2024, Springer Verlag.
  • Fox OR, Bergami G, Morgan G. LaSSI: Logical, Structural, and Semantic text Interpretation. In: The 28th International Database Engineered Applications Symposium. 2024, Springer Verlag.
  • Almutairi R, Bergami G, Morgan G. IoTSimSecure: Towards an IoT Simulator Supporting Cyber-Threat Detection Algorithms. In: 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024). 2024, Philadelphia, USA: IEEE.
  • Almutairi RMS, Gillgallon R, Bergami G, Morgan G. Approximating Real-Time IoT Interaction through Connection Counting: A QoS Perspective. In: 2024 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2024, Paris, France: IEEE.
  • Appleby S, Crane K, Bergami G, McGough AS. SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2. In: IEEE Conference on Games. 2023, Boston, MA, USA: IEEE.
  • 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: IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC 2022). 2022, Vancouver, WA, USA: IEEE.
  • Bergami G, Maggi FM, Montali M, Peñaloza R. Probabilistic Trace Alignments. In: 3rd International Conference on Process Mining (ICPM 2021). 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). 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.