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publications
COSMOS: A Statistical Model Checker for the Hybrid Automata Stochastic Logic
Published in Quantitative Evaluation of Systems (QEST), 2011
Transient Analysis of Networks of Stochastic Timed Automata Using Stochastic State Classes
Published in Quantitative Evaluation of Systems (QEST), 2013
Applications of an expressive statistical model checking approach to the analysis of genetic circuits
Published in Theoretical Computer Science, 2015
HASL: An expressive language for statistical verification of stochastic models
Published in The Computer Journal, 2016
Reachability Design Through Approximate Bayesian Computation
Published in Computational Methods in Systems Biology (CMSB), 2019
Petri Nets Validation of Markovian Models of Emergency Department Arrivals
Published in Application and Theory of Petri Nets and Concurrency (PETRI NETS), 2020
Automaton-ABC: A statistical method to estimate the probability of spatio-temporal properties for parametric Markov population models
Published in Theoretical Computer Science, 2021
A Formal Approach for Tuning Stochastic Oscillators
Published in Lecture Notes in Computer Science, 2023
A framework for optimisation based stochastic process discovery
Published in Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems (QEST+FORMATS), 2024
Probabilistic Process Discovery with Stochastic Process Trees
Published in Performance Evaluation Methodologies and Tools (ValueTools), 2024
Statistical Bayesian Inference for Stochastic Process Discovery
Published in Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems (QEST+FORMATS), 2025
Statistical Bayesian Inference for Stochastic Process Discovery
Published in International Conference on Quantitative Evaluation of SysTems (QEST), 2025
An efficient stochastic process discovery framework based on optimization
Published in International Journal on Software Tools for Technology Transfer, 2026
Rationale. Introduces a framework that for discovering of the optimal instance of a stochastic workflow net (SWN), based on exact computation of the probabilities of each log trace to be emitted by a SWN instance. The computation of the trace probability is done via breadth-first unfolding of the rachability graph underlying the SWN and relies on memoization in order to improve the computation efficiency.
talks
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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