Marco Pegoraro
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News and Events

  • 2023-04-03 Instructor for the seminar Machine Learning Applications in Process Mining, summer semester 2023
  • 2023-03-06 Reviewer for Elsevier Engineering Applications of Artificial Intelligence
  • 2023-01-09 Reviewer for Elsevier Engineering Applications of Artificial Intelligence
  • 2022-12-29 Paper accepted in the Springer Journal of Intelligent Information Systems journal: "Performance-Preserving Event Log Sampling for Predictive Monitoring"
  • 2022-09-16 Paper accepted at the International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2022): "Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study"
  • 2022-10-10 Instructor for the seminar Machine Learning Applications in Process Mining, winter semester 2022/2023
  • 2022-08-16 Reviewer for Elsevier Journal of Computational Science
  • 2022-07-20 Program Committee member at the International Conference on Enterprise Design, Operations and Computing (EDOC 2022), demonstration track
  • 2022-06-24 Program Committee member at the International Workshop on Leveraging Machine Learning in Process Mining (ML4PM 2022)
  • 2022-06-24 Program Committee member at the International Workshop on Event Data and Behavioral Analytics (EdbA 2022)
  • 2022-05-27 Program Committee member at the International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2022)
  • 2022-05-18 Reviewer for Elsevier Information Systems
  • 2022-04-03 Guest lecturer for the course Informatica Industriale e Process Analytics at University of Pisa, summer semester 2022. Topic: "Process mining"
  • 2022-04-01 Paper accepted at the International Conference on Advanced Information Systems Engineering (CAiSE 2022), Doctoral Consortium: "Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques"
  • 2022-04-04 Instructor for the seminar Machine Learning Applications in Process Mining, summer semester 2022
  • 2022-04-01 Paper accepted at the International Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD 2022): "Uncertain Case Identifiers in Process Mining: a User Study of the Event-Case Correlation Problem on Click Data"
  • 2022-01-13 Paper accepted in the Elsevier Journal of Biomedical Informatics journal: "Process Mining for Healthcare: Characteristics and Challenges"
  • 2021-12-10 Co-organizer of the International Workshop on Computational Intelligence for Process Mining (CI4PM 2022)
  • 2021-11-12 Program Committee member at the International Workshop on Quantitative Aspects of Process Mining (QAPM 2022)
  • 2021-10-18 Reviewer for the International Conference on Wirtschaftsinformatik
  • 2021-10-11 Instructor for the seminar Machine Learning Applications in Process Mining, winter semester 2021/2022
  • 2021-10-08 Paper accepted at the International Conference on Process Mining (ICPM 2021), Doctoral Consortium: "Process Mining on Uncertain Event Data"
  • 2021-10-04 Reviewer for the IEEE Open Journal of the Industrial Electronics Society
  • 2021-09-16 Paper accepted at the International Workshop on Leveraging Machine Learning in Process Mining (ML4PM 2021): "Event Log Sampling for Predictive Monitoring"
  • 2021-09-16 Paper accepted at the International Workshop on Event Data and Behavioral Analytics (EdbA 2021): "Probability Estimation of Uncertain Process Trace Realizations"
  • 2021-07-14 Paper accepted at the International Conference of Business Process Management (BPM 2021), resource track: "An XES Extension for Uncertain Event Data"
  • 2021-06-25 Pitching process mining over uncertain event data at the Sommerfest der Informatik at RWTH Aachen
  • 2021-06-18 Invited panelist at the Machine Learning Week Europe 2021 (PAW Healthcare Expert Round 5: Corona Community Project Pitches)
  • 2021-06-16 Reviewer for the Elsevier Journal of Biomedical Informatics, special issue Innovative informatics methods for process mining in health care
  • 2021-05-26 Paper accepted in the Elsevier Information Systems journal: "Conformance Checking over Uncertain Event Data"
  • 2020-05-18 Supervisor for the Master thesis "Applying Process Mining to User Behavior Analysis: The Event-Case Attribution Problem"
  • 2020-05-14 Paper accepted at the Workshop on Applications of Knowledge-Based Technologies in Business (AKTB 2021): "Analyzing Medical Data with Process Mining: a COVID-19 Case Study
  • 2021-04-28 Program Committee member at the International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2021)
  • 2020-04-19 Paper accepted at the International Conference on Business Information Systems (BIS 2020): "Text-Aware Predictive Monitoring of Business Processes"
  • 2021-04-12 Program Committee member at the International Workshop on Business Process Intelligence (BPI 2021)
  • 2021-04-12 Guest lecturer for the course Advanced Process Mining (APM) at RWTH, summer semester 2021. Topic: "Process mining on uncertain event data"
  • 2021-04-12 Instructor for the course Business Process Intelligence (BPI), summer semester 2021
  • 2021-04-12 Instructor for the seminar Machine Learning Applications in Process Mining, summer semester 2021
  • 2021-04-01 Joined the EU Commission's ICU4COVID project
  • 2021-03-08 Guest editor for the "Computational Methods for Process Mining in Healthcare" special issue of the AIMS Press Mathematical Biosciences and Engineering journal
  • 2020-03-05 Paper accepted at the International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2021), tool track: "PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data"
  • 2021-02-21 Supervisor for the Master thesis "Estimating Probabilities for Realizations of Uncertain Event Data"
  • 2020-11-23 New preprint: "Conformance Checking over Uncertain Event Data"
  • 2020-11-06 Paper accepted at the Process Mining and Emerging Applications special issue of the MDPI Algorithms journal: "Efficient Time and Space Representation of Uncertain Event Data"
  • 2020-10-26 Instructor for the seminar Machine Learning Applications in Process Mining, winter semester 2020/2021
  • 2020-09-30 New preprint: "Efficient Time and Space Representation of Uncertain Event Data"
  • 2019-07-03 Supervisor for the Master thesis "Text-Aware Predictive Monitoring of Business Processes with LSTM Neural Networks"
  • 2020-06-19 Guest lecturer for the course Advanced Process Mining (APM) at RWTH, summer semester 2020. Topic: "Process mining on uncertain event data"
  • 2020-04-06 Instructor for the seminar Machine Learning Applications in Process Mining, summer semester 2020
  • 2020-02-17 Paper accepted at the International Conference on Business Information Systems (BIS 2020): "Efficient Construction of Behavior Graphs for Uncertain Event Data"
  • 2019-10-16 Presenting my findings to a delegation of researchers of Wallemberg AI, Autonomous Systems and Software Program (WASP) from Sweden
  • 2019-10-07 Teaching Assistant for the course Introduction to Data Science (IDS), winter semester 2019/2020
  • 2019-06-28 Paper accepted at the International Workshop on Business Process Intelligence (BPI 2019): "Discovering Process Models from Uncertain Event Data"
  • 2019-06-05 Guest lecturer for the course Advanced Process Mining (APM) at RWTH, summer semester 2019. Topic: "Process mining on uncertain event data"
  • 2019-05-27 Visiting Trondheim for a week of research at SINTEF and NTNU
  • 2019-04-12 Instructor for the seminar Introduction to Feature Prediction of Running Process Instances, summer semester 2019
  • 2019-04-01 Supervisor for the Bachelor thesis "An Inductive Miner implementation for the PM4Py framework"
  • 2019-03-10 Paper accepted at the International Conference on Process Mining (ICPM 2019): "Mining Uncertain Event Data in Process Mining"
  • 2018-10-10 Teaching Assistant for the course Introduction to Data Science (IDS), winter semester 2018/2019
  • 2018-06-11 Started my research at the Process And Data Science team in RWTH University, Aachen
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