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Program Committee Chairs

Stefanie Rinderle-Ma

Technical University of Munich, Germany

Stefanie Rinderle-Ma is a full professor at the Technical University of Munich, Germany, and holds the Chair of Information Systems and Business Process Management. Her research interests focus on process-oriented information systems, flexible and distributed process technologies, compliance management, as well as production and process intelligence. The overarching goal of her research is to enable and accelerate digitalization and automation through processes and at the same time keep the human in the loop. Application areas comprise manufacturing, transportation and logistics, as well as medicine.

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The overarching goal of her research is to enable and accelerate digitalization and automation through processes and at the same time keep the human in the loop. Application areas comprise manufacturing, transportation and logistics, as well as medicine.

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Jorge Munoz-Gama

Pontificia Universidad Católica de Chile, Chile

Born in Barcelona, Jorge Munoz-Gama is Director of the Human & Process Research Lab (HAPLAB), Deputy Director of the Department of Computer Science, and Associate Professor of the School of Engineering of the Pontificia Universidad Católica de Chile. Doctor in Computation from the Universitat Politecnica de Catalunya, he received his Bachelor in Informatics Engineering from the same university. His research fields of interest include ‘Process Mining’, specially applied to Education and Medical Education, among other areas.

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He has authored more than 80 publications on the topic, including the book ‘Conformance Checking and Diagnosis in Process Mining’ (Springer 2016). He is Steering Committee member of the IEEE Task Force on Process Mining and founding member of the Process-Oriented Data Science for Healthcare Alliance (PODS4H Alliance). Passionate about teaching and committed to educational innovation research, specially in computer science and process mining, he organizes de ICPM Workshop “Education Meets Process Mining (EduPM)” and the BPM 2023 “Educators Forum”.

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Arik Senderovich

York University, Canada

Arik is an Assistant Professor (tenure-track) at the School of Information Technologies (ITEC) at York University. He is also a status-only Assistant Professor at the Rotman School of Management (University of Toronto). Prior to joining ITEC he held Assistant Professor positions at the Rotman School of Management and the iSchool (both at the University of Toronto). Arik is also the Scientific Advisor of mindzie, a process mining Startup, which has a vibrant R&D center in Toronto (www.mindzie.com).

Workshop Chairs

Pnina Soffer

University of Haifa, Israel

Pnina Soffer is a Full Professor and the former Head of the Information Systems Department at the University of Haifa, Israel. Her research deals with business process management and process mining, as well as conceptual modelling in general. She typically combines in her research formal and technical development of analysis approaches with empirical investigation of human aspects concerning the developed technology.

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She has published over 150 papers in journals and conference proceedings. She has served in editorial boards of leading journals, and is currently a Department Editor of the information systems engineering department of Business & Information Systems Engineering (BISE). She has served in program committees of numerous conferences, and is a member of the steering committee of CAiSE and of the IEEE Taskforce for Process Mining. She held many organizational positions in conferences. In particular, she served as a Program chair in BPM, CAiSE, and ICPM, and a General chair of the upcoming CAiSE 2024.

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Johannes De Smedt

KU Leuven, Belgium

Johannes is an Assistant Professor in Information Systems at the Information Systems Engineering Research Group at KU Leuven. Before he held the Dixons Carphone Lectureship in Business Analytics at the University of Edinburgh. His research interests focus on data-driven process analytics including XAI in predictive process monitoring and process model forecasting. He has published in numerous leading outlets including the International Conference on Process Mining/Advanced Information Systems Engineering/Business Process Management for which he also serves in the programme committee, as well as journals such as IEEE Transactions on Knowledge and Data Engineering/Services Computing, Information Systems, Decision Support Systems, and more.

Industry Chairs

Maximilian Röglinger

University of Bayreuth / Fraunhofer FIT – Center for Process Intelligence, Germany

Maximilian is a professor of Information Systems and Business Process Management at the University of Bayreuth as well as Adjunct Professor in the School of Management at Queensland University of Technology. Moreover, Maximilian serves as Deputy Director of the Research Center Finance & Information Management (FIM) and of the Fraunhofer FIT, where he recently co-founded the Fraunhofer Center for Process Intelligence (CPI). Maximilian’s activities in research and teaching center around business process management (BPM), process mining, and digital transformation. As for BPM, Maximilian investigates how related decisions can be made in line with economic principles, how digital technology can be leveraged to improve and innovate business processes, and BPM needs to be conceptualized in the digital age.

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In process mining, Maximilian focuses on how to automate process improvement, how to increase the quality of event logs, on how to organize for process mining (e.g., in terms of centers of excellence). Being passionate about doing research for and with companies, Maximilian regularly published in renowned scholarly journals and regularly collaborates with companies from diverse industries.

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Julian Lebherz

A.P. Møller – Mærsk, Denmark

As Head of Data Insights at A.P. Møller-Mærsk, Julian is responsible for accelerating and scaling its digital and business model transformation through process mining. With over a decade of diversified experience in the field, including co-founding the Deloitte Center for Process Bionics, he has worked with a multitude of software solutions and some of the largest and pace-setting companies that leverage process mining.

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In his role as Steering Committee member of the IEEE Task Force on Process Mining, Julian is co-leading the data standardization efforts (Object-Centric Event Data), as well as the Process Mining Circle (an expert knowledge exchange format). He is a strong advocate of scaling process mining impact and spreading its adoption by removing technical impediments for business users. Julian hence supports mindzie, a process mining solution provider, as Strategic Advisor.

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Demo Chairs

Francesco Leotta

Sapienza University of Rome, Italy

Francesco Leotta got his PhD in Engineering in Computer Science at Sapienza in 2014, where he currently covers the position of Assistant Professor. Since the beginning of his research activity, he has addressed several challenges related to how users interact with a smart space and how the environment senses the users and reactively performs actions to meet user requirements. In this research context, he developed an approach, called habit mining, where techniques typical of Business Process Management (BPM) and Process Mining can be adapted to user habit modelling and discovery.

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Beside this main research activity, his research interests cover advanced user interfaces, service-oriented architectures (SOA), matchmaking applied to entrepreneurship, and e-Government. He regularly serves as a reviewer for international conferences and journals in the fields of smart spaces and information systems engineering.

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Laura Genga

Eindhoven University of Technology, The Netherlands

Laura Genga received her Ph.D. degree in Science of Engineering at the Università Politecnica delle Marche, Italy, in 2016. She is an assistant professor in the Information Systems group at the Eindhoven University of Technology, the Netherlands. Her research revolves around data-driven process analysis and enhancement. Her core topics involve automated discovery and analysis of flexible processes, process compliance analysis, and on-line and monitoring and prediction to support process managers in taking decisions regarding current process executions to, e.g., react to and mitigate potentially undesired situations.

Doctoral Consortium Chairs

Cristina Cabanillas

Utrecht University, Netherlands

Cristina Cabanillas is Associate Professor at the University of Seville (Spain) within the Applied Software Engineering (ISA) research group. She is a member of the SCORE Unit of Excellence and the Institute for Research in Computer Engineering of the University of Seville (I3US). She received her PhD with honors at the said university with research results on the management of human resources in business processes. After her PhD she worked for seven years at the Institute for Data, Process and Knowledge Management at the Wirtschaftsuniversität (WU) in Vienna (Austria).

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She has participated in numerous R&D projects, has experience as a reviewer for leading international conferences and journals, and has organized several workshops and conference tracks. She has coordinated the FWF PRAIS project (V 569-N31) on process and resource-aware information systems, as well as the MCI/AEI/FEDER CONFLEX project (RTI2018-100763-J-100) on integrating context-aware resource management in flexible process-oriented organizations. She is currently coordinating the Proof of Concept 2022 MCIN/AEI/NextGeneration EU/PRTR STATUS project (PDC2022-133521-I00) on the development of a compliance management system in different application domains.

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Jan Martijn van der Werf

Utrecht University, Netherlands

Jan Martijn van der Werf is an assistant professor at Utrecht University, Utrecht, The Netherlands. He received a dual PhD in Computer Science in 2011 at Eindhoven University of Technology and at Humboldt Universität zu Berlin. His research focuses on how process mining can be used to support IT architects and how formal methods can be used to understand large systems. In particular, he studies the robustness of process mining results, and how statistical methods such as sampling can be used to improve process mining results. He is interested in modelling and analysing the interplay between processes and data, and how such combined models can be retrieved from large software systems. Apart from modelling railroads, he is also passionate about teaching, especially how we can improve teaching critical thinking in modelling.

Publicity Chairs

Francesca Zerbato

University of St. Gallen, Switzerland

Francesca Zerbato is a senior scientist at the Institute of Computer Science, University of St. Gallen, Switzerland. She obtained her Ph.D. degree in Computer Science from the University of Verona in 2019. Her main research interests are in the areas of process mining, business process management and healthcare informatics. Currently, her leading research focuses on understanding and supporting process mining users, and her work is part of a four-year project funded by the Swiss National Science Foundation (SNSF).

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Francesca has served in the program committees of the BPM and ICPM conferences and has co-organized the EduPM workshop co-located with ICPM 2022. From 2017-2022 she served as managing editor for the Artificial Intelligence in Medicine journal.

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Simone Agostinelli

Sapienza University of Rome, Italy

Simone Agostinelli received his Ph.D. in Engineering in Computer Science from Sapienza Università di Roma in 2022. He is currently a postdoctoral research fellow in Engineering in Computer Science at Sapienza Università di Roma. In 2019, he received the Forum Award at the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19). His main research interest focuses on synthesizing strategies for Robotic Process Automation via Process Mining and Automated Planning techniques.

Best PhD Dissertation Award Chairs

Mieke Jans

Hasselt University, Belgium

Mieke Jans is Associate Professor in the Business Informatics Research Group at Hasselt University and at the Accounting Information Management department at Maastricht University. Her research interests span different areas, creating synergies between the fields of Business Process Management, Process Mining, Information Systems and Auditing. Mieke has a focus on Audit Analytics, with an emphasis on process mining in the context of auditing financial statements, published numerous articles in international peer-reviewed scientific journals, and (co-)authored several books. Member of the Steering Committee of the IEEE Task Force on Process Mining, Mieke is actively involved in community serving. She also leads the Scientific Research Community on Process Mining, and is Associate Editor and reviewer for various journals.

Artem Polyvyanyy

The University of Melbourne, Australia

Artem Polyvyanyy is an Associate Professor at the School of Computing and Information Systems, Faculty of Engineering and Information Technology, at the University of Melbourne (Australia). He has a strong background in Theoretical Computer Science, Software Engineering, and Business Process Management from the National University of Kyiv-Mohyla Academy (Ukraine), Hasso Plattner Institute (Germany), and the University of Potsdam (Germany). In March 2012, he received a Ph.D. degree (Dr. rer. nat.) in the scientific discipline of Computer Science from the University of Potsdam (Germany).

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His research and teaching interests include Computing Systems, Distributed Systems, Process Mining, Process Querying, Artificial Intelligence, and Algorithms. Artem Polyvyanyy has published over 110 academic manuscripts, including book chapters, peer-reviewed journal articles, and refereed papers at international conferences. His recent research focuses on Process Mining and Process Querying. Artem Polyvyanyy is a member of the Steering Committee of the IEEE Task Force on Process Mining. He is the editor and a contributor to the book entitled “Process Querying Methods.”

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