posenato
univr
it
My main research interest relates to temporal reasoning based on temporal constraint networks. In particular, I am interested in studying and evaluating algorithms for determining temporal properties in such models.
My publications are published in international journals related to artificial intelligence.
Modules running in the period selected: 62.
Click on the module to see the timetable and course details.
Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:
| Topic | Description | Research area |
|---|---|---|
| BPMN Systems in Medicine | Using and extending open-source BPMN-based (Business Process Model and Notation) systems to manage healthcare processes. |
Information Systems and Data Analytics
Information systems applications |
| Temporal BPMN Models | Representing and managing temporal constraints in BPMN (Business Process Model and Notation) specifications. |
Information Systems and Data Analytics
Data management systems |
| Temporal reasoning | Temporal constraint networks are a research area within temporal reasoning focused on modeling and solving problems where events, tasks, or resources are constrained by temporal dependencies. Temporal constraint networks are used to tackle complex problems in scheduling, planning, and coordination, especially in dynamic environments where constraints may evolve over time. Recent advancements incorporate game-theoretic models, spatio-temporal constraints, and probabilistic methods to address the challenges posed by time-varying, decentralized, and uncertain systems. |
Artificial Intelligence
Knowledge representation and reasoning |
| Temporal reasoning | Temporal constraint networks are a research area within temporal reasoning focused on modeling and solving problems where events, tasks, or resources are constrained by temporal dependencies. Temporal constraint networks are used to tackle complex problems in scheduling, planning, and coordination, especially in dynamic environments where constraints may evolve over time. Recent advancements incorporate game-theoretic models, spatio-temporal constraints, and probabilistic methods to address the challenges posed by time-varying, decentralized, and uncertain systems. |
Software Engineering and Formal Verification
Knowledge representation and reasoning |
| Office | Collegial Body |
|---|---|
| Member | Faculty Board of PhD in Computer Science - Department Computer Science |
| Member | Computer Science Teaching Committee - Department Computer Science |
| Commissione AQ Laurea magistrale in Artificial Intelligence - LM18 - Computer Science Teaching Committee - Department Computer Science | |
| Member | Commissione di valutazione affidamento di insegnamenti SSD INF/ING-INF - Department Computer Science |
| Member | Computer Science Department Council - Department Computer Science |
| Rector's Delegate for the Transition to the Digital Intelligence | Prorectors, Rector's Delegates and University Representatives |
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