Work experiences:              From March 2014 to March 2015:     Research Assistant, University of Padova        External Consultant, SIAV S.P.A.

Research Interests:

Process Mining       A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement
Accepted at Petri Nets and Other Models of Concurrency (ToPNoC)
            Extracting Multiple Viewpoint Models from Relational Databases
Accepted at SIMPDA 2018-2019 postproceedings (Springer, Lecture Notes in Business Information Processing)
            PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack
Accepted at BPM 2019 Demo Track (BPM 2019, 04 September 2019)
            Increasing Scalability of Process Mining using Event Dataframes: How Data Structure Matters
            Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models
Accepted at BPM 2019 Demo Track (BPM 2019, 04 September 2019)
            Process Mining on Event Graphs: a Framework to Extensively Support Projects
Accepted at BPM 2019 Doctoral Consortium (BPM 2019, 01 September 2019)
            Reviving Token-based Replay: Increasing Speed While Improving Diagnostics
Accepted at ATAED 2019 Workshop (ICPM 2019, 25 June 2019)
            Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science
Accepted at ICPM 2019 Demo Track (ICPM 2019, 26 June 2019)
            StarStar Models: Using Events at Database Level for Process Analysis
(Presented at SIMPDA 2018, Sevilla 13-14 December 2018, CEUR Workshop Proceedings Vol. 2270, ISSN 1613-0073)
            StarStar Models: Process Analysis on top of Databases
(Pre-print (arXiv))
            Statistical Sampling in Process Mining Discovery
(Presented at IARIA eKNOW 2017, Nice 19-23 March 2017, ISSN 2308-4375, ISBN 978-1-61208-542-5)
            Mining Weighted Leaders and Peripheral Workers in Organizational Social Networks based on Event Logs
(Presented at IARIA HUSO 2016, Barcelona 13-17 November 2017, ISSN 2519-8351, ISBN 978-1-61208-519-7)
            Improving Process Mining Prediction Results in Processes that Change over Time
(Presented at IARIA Data Analytics 2016, Venice 09-13 May 2016, ISSN 2308-4464, ISBN 978-1-61208-510-4)
            Using Recurrent Boltzmann Machines in the detection of process drifts using several Process Mining perspectives
(Presented at IARIA IMMM 2016, Valencia 22-26 May 2016, ISSN 2326-9332, ISBN 978-1-61208-477-0)
Social Network Analysis       A Novel Criterion for Overlapping Communities Detection and Clustering Improvement
(Presented at CIDM 2014 IEEE Conference (Orlando, 09-12 Dec 2014), ISBN 978-1-4799-4518-4

(Teoremi di No Free Lunch) Master's Thesis
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