General chairs
Arik Senderovich
Arik Senderovich is an Assistant Professor at the School of Information Technologies (ITEC) at York University in Toronto, Canada. He also holds a Status-Only Assistant Professor position at the Rotman School of Management, University of Toronto, where he supervises Master of Management Analytics (MMA) student projects, teaches colloquia, and organizes professional events. Prior to his current role at ITEC, Arik served as an Assistant Professor at both the Rotman School of Management and the Faculty of Information at the University of Toronto. Arik is the Chief Technology Officer (CTO) and co-founder of SiMLQ, a process mining company with a vibrant R&D center in Toronto. His research lies at the intersection of Operations Management, Data Science, and Artificial Intelligence, with a current focus on developing methodologies for automatically learning models of complex and congested environments—such as hospitals and public transportation systems—based on data logs. Arik’s work has been published in leading conferences including AAAI, BPM, ICAPS, ICPM, and the Winter Simulation Conference (WSC). He has also authored numerous papers in top-tier journals such as Information Systems and INFORMS Journal on Computing. Additionally, Arik has served as a Guest Editor for Information Systems and was the Program Chair for ICPM 2023.
Associate Dean, Research & Graduate Studies (LA&PS), York University
Toronto, Canada
Ravi da Costa
Professor de Costa was trained in Australia at the University of Sydney and Swinburne University. He emigrated to Canada in 2002 to take up a Postdoctoral Fellowship in the Institute on Globalization and the Human Condition at McMaster University. Prior to joining York in 2007, he also taught at Trent University in the Department of Political Studies. He is an active member of the York community and has served in numerous roles, including as Chair of the President’s Sustainability Council, Director of Las Nubes Project, Graduate Program Director for both Environmental Studies and Social and Political Thought, and Interim Dean of the Faculty of Environmental Studies. His research interests and publications centre Indigenous-settler relations in Australia and Canada, Indigenous rights and transnationalism, and the politics of sustainability. He has held four Social Science and Humanities Research Council (SSHRC) grants and has received funding from the Australian Research Council.
Program Chairs
Avigdor Gal
Avigdor Gal is the Benjamin and Florence Free Chaired Professor of Data Science and the Co-chair of the Center for Humanities & AI at the Technion - Israel Institute of Technology. He is with the Faculty of Data & Decision Sciences, where he led the design of the first engineering program in data science in Israel (and possibly the world). Gal’s research focuses on elements of data integration and process management and mining under uncertainty, making use of state-of-the-art machine learning and deep learning techniques to offer an improved data quality with about 150 publications in leading journals, books, and conference proceedings (including multiple best paper and test-of-time awards). His research is implemented, through his ties as a consultant, in multiple industries including FinTech (e.g., Pagaya). In recent years, with the increasing penetration of AI to all aspects of life, Gal has been involved in developing methods for embedding responsible AI in companies and government authorities through an education process that increases dialogue abilities between data scientists and other stake-holders (e.g., lawyers and regulators).
Associate Professor, Faculty of Engineering, Free University of Bozen-Bolzano
Italy
Fabrizio Maria Maggi
Fabrizio Maria Maggi is an Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano. He earned his Ph.D. in Computer Science from the University of Bari in 2010 and held positions at Eindhoven University of Technology and the University of Tartu, where he became Associate Professor in 2017. His research sits at the intersection of Business Process Management (BPM) and AI, with over 200 publications in the field and multiple best paper awards. Ranked among the world’s top 2% most cited computer scientists, he has chaired the AI4BPM workshop since 2017, advancing collaboration between the AI and BPM communities. He is a pioneer in declarative process mining, where he developed key algorithms for model discovery and real-time monitoring with LTL-based rules. He is also a leading figure in predictive process monitoring, having introduced foundational techniques to anticipate the future course of running processes and support proactive decision-making. His recent work focuses on Neuro-Symbolic Predictive Process Monitoring, combining symbolic reasoning with deep learning, and AI-Augmented BPM, aimed at building AI-driven systems to support business process execution and analysis.
Professor, Kühne Logistics University (KLU)
Hamburg, Germany
Henrik Leopold
Henrik Leopold is a Full Professor at the Kühne Logistics University (KLU). Before joining the KLU in 2019, he held positions as an Assistant Professor at the Vrije Universiteit Amsterdam (February 2015 – January 2019) and WU Vienna (April 2014 – January 2015) as well as a postdoctoral research fellow at the Humboldt University of Berlin (July 2013 – March 2014). From 2019 to 2024, he was also a senior researcher at the Hasso Plattner Institute (HPI) at the Digital Engineering Faculty, University of Potsdam. Henrik’s research is concerned with developing AI-based techniques for process analysis, mining, and automation. The results of his research have been published in over 100 publications in books, book chapters, journals, conferences, workshops, and reports. Among others, his research has been published in the journals IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Management Information Systems, Decision Support Systems, and Information Systems.
Flavia Santoro
Flavia Santoro is the Academic Director of the Institute of Technology and Leadership (Inteli) and Professor at the State University of Rio de Janeiro. She earned her Ph.D. in Systems and Computer Engineering from the Federal University of Rio de Janeiro (UFRJ), alongside a Bachelor's degree in Electronic Engineering from the UFRJ's Polytechnic School, and a Master's degree in Contemporary Philosophy from the Pontifical Catholic University of Rio de Janeiro. Since 2009, she has been a recipient of the prestigious National Council of Technological and Scientific Development (CNPq) Fellowship. Her academic journey also includes sabbaticals at the Université Pierre et Marie Curie - Paris VI, France, and at Queensland University of Technology, Australia. With over two decades of experience as an educator and researcher in the field of Information Systems, Santoro's work primarily focuses on Business Process Management, Knowledge-intensive Processes, Knowledge Management, and Computer Supported Cooperative Work and Learning, and Ethics in BPM. Beyond academia, she has lent her expertise as a consultant on numerous projects related to BPM and software development for various companies.
Workshop Management Chairs
Assistant Professor, Utrecht University
Utrecht, The Netherlands
Xixi Lu
Xixi Lu is an Assistant Professor at Utrecht University’s Information and Computing Sciences department. She received her Ph.D. in Computer Science at the Eindhoven University of Technology, the Netherlands, in 2018, where her dissertation was honored with the Best PhD Thesis Award by the IEEE Task Force on Process Mining. Her research has been published in top conferences (CAiSE, BPM, ICPM) and journals (IS, TSC, DKE, BISE). She serves as a senior PC member for BPM and ICPM and served as a program chair for ICPM’24. Her research focuses on Process Analytics and Intelligence, with applications spanning healthcare and auditing.
Jorge Muñoz-Gama
Born in Barcelona, Jorge Munoz-Gama is Director of the Human & Process Research Lab (HAPLAB) and Associate Professor at Pontificia Universidad Católica de Chile. He has authored more than 80 publications on the topic, and he is a Steering Committee member of the IEEE Task Force on Process Mining. Founding member of the Process-Oriented Data Science for Healthcare (PODS4H), “Education Meets Process Mining (EduPM)” and the "BPM Educators Forum”. His research fields include ‘Process Mining’, specially applied to Education and Medical Education, among other areas.
Professor, Information Systems, Paderborn University
Germany
Daniel Beverungen
Daniel Beverungen is a Full Professor of Information Systems at Paderborn University. His research focuses on service research, business process management, information modeling, and the design and emergence of innovative information systems. Daniel serves as a department editor for business process management for the journal Business & Information Systems Engineering (BISE) and as a senior program committee member at the BPM Conference. Current leadership positions include Vice Dean for Processes and Cooperation at the Faculty of Business and Economics, Chair of the Board of the Software Innovation Lab (SI-Lab) at Paderborn University, Chair of the Steering Committee of the Software Innovation Campus Paderborn (SICP), and Academic Director of the Service Science Competence Center at the European Research Center for Information Systems (ERCIS).
Tutorial & Panel
Daniel Amyot
Daniel Amyot is Professor at the School of Electrical Engineering and Computer Science of the University of Ottawa. His research interests include software engineering, scenario-based and goal-based requirements engineering, business process modeling and mining, regulatory compliance, smart contracts, and healthcare informatics. Daniel led the standardization of the User Requirements Notation at the International Telecommunication Union. He was general chair of the Requirements Engineering conference in 2015 and program co-chair in 2018. Daniel is on the editorial boards of Software and Systems Modeling and of the Requirements Engineering journal. He holds a Ph.D. in Computer Science from the University of Ottawa (2001) and is a Senior Member of IEEE.
Professor, Universidad de Sevilla
Seville, Spain
Adela del Río-Ortega
Adela del Río Ortega is a professor at Universidad de Sevilla and a member of the ISA Research group, where she initiated the Business Process Management research line with her PhD thesis. She serves on the Steering Committee of the BPM conference and is known for her work on process performance indicators (PPIs) and their automatic analysis. Her current research interests include process performance management, RPA and process mining with the lens of personal productivity analytics. She has contributed over 50 publications in top computer science and information systems outlets (BPM, CAiSE, Inf.Systs., BISE, ACM ToIT…). She has also been involved in a number of organizing roles at CAiSE and BPM (tutorial and panel chair, workshop chair, PC chair, DEI committee chair, and now General Chair of BPM 2025). She also organized the workshop on Natural Language Processing for Business Process Management (NLP4BPM) during its three editions (2022-2024).
Thomas Grisold
Thomas Grisold is Professor of Information Systems and Applied Artificial Intelligence at WU Vienna. His research explores how digital technologies—such as AI process mining and digital trace data—shape business processes, and organizational work in more general terms. He has published in leading journals including MIS Quarterly, Journal of Information Technology and Journal of Strategic Information Systems. Before joining WU, he held academic positions at the University of St. Gallen and the University of Liechtenstein and he has been a visiting researcher at institutions in the United States Australia the UK and across Europe.
Doctoral Consortium
Associate Professor, Department of Computer, Control and Management Engineering, Sapienza University of Rome
Rome, Italy
Andrea Marrella
Andrea Marrella is an Associate Professor at the Department of Computer, Control and Management Engineering of the Sapienza University of Rome, Italy. He received a PhD in Computer Science and Engineering in 2013. His main research interests focus on how to integrate artificial intelligence with business process management solutions to untangle complex challenges from the fields of process mining and robotic process automation.
In 2021, he started a research program targeted to the realization of automated solutions to tackle the Big Data Pipeline discovery issue in the context of the recently funded H2020 project DataCloud. Information director of ACM Journal of Data and Information Quality, Andrea has co-authored many publications in major outlets in the computer science and information systems areas, including the paper: “Multi-party Business Process Resilience By-Design: A Data-centric Perspective”, which received the Best Paper Award at CAiSE 2017.
Professor, Management Analytics, University of Mannheim
Mannheim, Germany
Jana-Rebecca Rehse
Jana-Rebecca Rehse is Junior Professor for Management Analytics at the University of Mannheim, where she leads a research group on data-driven business process management by means of process mining and machine learning. She is particularly interested in developing process mining methods that deliver direct (business) value and are applicable by non-expert users. Before coming to Mannheim, Jana was a researcher and project lead at the German Research Center for Artificial Intelligence (DFKI) and a visiting research scholar at Stevens Institute of Technology in Hoboken, NJ. She obtained her PhD from Saarland University in 2019.
Professor, Information Systems, University of Haifa
Haifa, Israel
Pnina Soffer
Pnina Soffer is a Full Professor and the former Head of the Information Systems Department at the University of Haifa. She received her BSc and MSc in Industrial Engineering, Ph.D in Information Systems Engineering from the Technion - Israel Institute of Technology (2002). Her research deals with business process modeling, analysis, and mining, addressing issues such as goal orientation, flexibility, data and business-focused applications of process mining, as well as social and cognitive aspects of process mining, modeling and improvement. She has published over 150 publications in journals and conference proceedings. She has served in editorial boards of several journals, and as a department editor of the BISE journal. Pnina has served in program committees of numerous conferences, and held several organizational positions, including serving as a program chair of BPM 2014, CAiSE 2016, and ICPM 2021, and a general chair of CAiSE 2024. She is a steering committee member of CAiSE and of the IEEE taskforce on process mining.
Demos & Resources Chair
Iris Beerepoot
Iris Beerepoot is an Assistant Professor in the Process Science group at the Department of Information & Computing Sciences at Utrecht University. Her research focuses on work processes in organisations and the extent to which this work is supported by and recorded in information systems. In her Ph.D. thesis, she studied the use of workarounds in healthcare organisations and analysed them with a mix of methods, including process mining. Her work has been published in the proceedings of leading conferences such as BPM, ICPM, ICIS, and ECIS, as well as in journals such as Computers in Industry, Business & Information Systems Engineering, Information Technology and Management, and the Journal of Biomedical Informatics. She served on several organising and program committees at BPM and ICPM, was awarded the BPM runner-up best dissertation award, and won an outstanding reviewer award at ECIS for two consecutive years. She chairs the AI Lab for Public Services which currently houses ten Ph.D. students. As a guest researcher, she visited the University of Haifa, the Sapienza University of Rome, the University of Seville, and the University of Queensland.
University of Vienna
Vienna, Austria
Martin Kabierski
Martin Kabierski is a postdoctoral researcher in the "Workflow Systems and Technology" research group at university of Vienna. He obtained his PhD from the Humboldt-Universität zu Berlin, Germany, in 2025.
His current research focus lies in the incorporation of data representativeness aspects, such as data incompleteness, data quality issues, and data uncertainty, into data-driven process analysis pipelines. His research has been published in proceedings of multiple leading conferences and journals, such as BPM, CAiSE, ICPM, and Information Systems, and he serves as reviewer for various conferences and journals.
Universidad de la República (UdelaR)
Uruguay
Andrea Delgado
Andrea Delgado is an Associate Professor at the Instituto de Computación, Facultad de Ingeniería, Universidad de la República (UdelaR), Uruguay, where she leads the COAL research group. She received her Ph.D. in Computer Science from the University of Castilla-La Mancha (UCLM), Spain and from Universidad de la República (PEDECIBA), Uruguay (2012). Her main research interests are business process management and technologies and process mining, with focus on collaborative processes, modeling and data integration, improvement and recently on their sustainability, service-oriented computing, model driven development and generative AI and machine learning for BPM and PM, and their application to different domains such as e-Government, health, education, and smart cities. She has co-authored more than 70 publications in peer-reviewed international and regional journals, conferences and workshops, led and participated in more than 10 R&D&I projects, organized and chaired several national and international conferences and workshops, including ICPM 2025 and CLEI 2014, and several collaboration initiatives within Latin American and European research groups.
Responsible BPM Forum Chair
Ulsan National Institute of Science and Technology (UNIST)
Ulsan, South Korea
Marco Comuzzi
Marco is Associate Professor and Director of the Blockchain research Center at the Department of Industrial Engineering, Ulsan National Institute of Science and Technology, Ulsan, in Korea. His research focuses on engineering (predictive process monitoring, event log anomaly detection and data quality) and management (success/failure and cultural aspects of process mining initiatives) aspects of BPM and process mining.
Associate Professor, Information Systems & Process Science, University of Liechtenstein
Liechtenstein
Stephan A. Fahrenkrog-Petersen
Stephan Fahrenkrog-Petersen is an Assistant Professor (Tenure-Track) for Information Systems & Process Science at the University of Liechtenstein. Previously, he was a research group lead at the Weizenbaum Institute. He graduated with his PhD in Computer Science from Humboldt-Universität zu Berlin in 2023. His research was published in the proceedings of the premier conferences in the field (AAAI, BPM, CAiSE, ICPM) and in international journals such as Information Systems, ACM TMIS, and KAIS. His work was recognized ampng others with the Best Process Mining PhD Dissertation Award 2023, the Distinguished Paper Award at CAiSE 2021, and the Best Responsible BPM Forum Paper Award 2025.
Associate Professor, Economics and Business Administration, Ghent University
Ghent, Belgium
Amy Van Looy
Amy Van Looy holds a Ph.D. in applied economics. Being an associate professor at the Faculty of Economics and Business Administration, she is member of the Department of Business Informatics & Operations Management where she coordinates the research cluster of “Business process orientation”. She is also a research fellow at Vlerick Business School and elected as voting member for the university-wide research council in Ghent. Her research interests include business process management, digital innovation, and sustainability.
Process Technology Forum Chair
Professor, Computer Science, University of Ulm
Regensburg, Germany
Manfred Reichert
Manfred Reichert is a Full Professor of Computer Science at the University of Ulm and Director of the Institute of Databases and Information Systems. With a PhD in Computer Science and a Diploma in Mathematics, he is a leading researcher in business process management (BPM), adaptive process technologies, and service-oriented architectures. Manfred has co-authored over 200 peer-reviewed publications, received multiple research awards, and played key roles in major international conferences including BPM, EDOC, and CoopIS. His pioneering work on the ADEPT process management system has been highly influential in the BPM community.
Associate Professor, Information Systems, University of Newfoundland
Newfoundland, Canada
Joerg Evermann
Dr. Evermann received his PhD in Information Systems from the University of British Columbia. Dr. Evermann's interests are in business process management, business analytics, and predictive methods.
Dr. Evermann has published his research in more than 80 peer-reviewed publications. His work has appeared in high-quality journals, such as European Journal of Marketing, Decision Support Systems, IEEE Transactions on Software Engineering, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Services Computing, Journal of Business Research, Organizational Research Methods, Structural Equation Modeling, Journal of the AIS, Information systems, and Information Systems Journal. He has presented his work at international conferences, such as ICIS, AMCIS, CAiSE, ER, among others.
Dr. Evermann serves as associate editor on the editorial board of BISE and CAIS and as regular program committee member for high-quality conferences and workshops. He was honoured as AE of the Year by CAIS for 2024.
Associate Professor, Computer Science, University of Camerino
Italy
Barbara Re
Barbara Re is an Associate Professor of Computer Science at the University of Camerino. Her research focuses on the adoption of formal methods in Business Process Management and Process Mining, fields in which she is a co-author of numerous publications in international journals and conference proceedings. More recently, she is working on modelling, formalising, animating and verifying Environment-Aware BPMN Collaborations. She actively collaborates with companies and public administrations, fostering technology transfer and the practical application of research results. She also coordinates training and science outreach projects aimed at promoting equal opportunities and encouraging female participation in STEM disciplines.
Industry Forum Chair
PhD Candidate, Digital Transformation and Innovation, University of Ottawa
Ottawa, Canada
Najah El-Gharib
Najah El-Gharib is a PhD candidate in the Digital Transformation and Innovation program at the University of Ottawa. Her doctoral research explores the intersection of process mining and automation, with a focus on identifying, prioritizing, and enabling automation opportunities that enhance organizational efficiency and adaptability. She holds a Master’s degree from the University of Ottawa, where she specialized in analyzing business processes using process mining and data-driven techniques derived from cloud-based applications.
In 2023, Najah co-founded the First Canadian Process Mining Community, which she continues to co-lead. The community connects experts from academia and industry to advance knowledge sharing and collaboration in process mining across Canada. She is also a part-time professor at uOttawa teaching a process modelling, mining and automation course. Alongside her academic work, Najah is a consultant in data analysis and AI, helping organizations leverage advanced analytics to drive innovation and operational excellence.
Julian Lebherz
Coming Soon
Associate Professor, University of Tartu
Estonia
Fredrik Milani
Fredrik Milani is an Associate Professor at the University of Tartu and the Baltic Head of Strategy and Innovation at SEB. His academic work focuses on business process management and process mining, with a recent emphasis on how generative AI can be used for process analysis and redesign. He is also the author of the book Digital Business Analysis. In his role at SEB, he leads initiatives to future-proof the bank. He achieves this by exploring how emerging trends and technologies can be leveraged to innovate financial products and services.
Education Forum Chair
Associate Professor, Federal University of Rio Grande do Sul (UFRGS)
Brazil
Lucineia Heloisa Thom
Lucineia Heloisa Thom is an Associate Professor with the Institute of Informatics at the Federal University of Rio Grande do Sul (UFRGS), Brazil. She holds a Bachelor's degree (1999) in Computer Science from UNISC, as well as a Master’s (2002) and Ph.D. (2006) in Computer Science from UFRGS. Part of her Ph.D. research was conducted at the University of Stuttgart (2004–2005). She was a Visiting Scientist at the Universities of Ulm (2007–2009) and Grenoble (2010–2011). From 2018 to 2019, she spent a sabbatical at the Vienna University of Economics and Business.
Her research focuses on Business Process Management (BPM), including process mining, robotic process automation (RPA), BPM education, and Green BPM. She has published over 80 research papers and has served as a reviewer and program committee member for several academic venues.
Karolin Winter
Karolin Winter is an Assistant Professor in Information Systems at Eindhoven University of Technology. Her main research interests are located in the area of business process compliance and process mining with a particular focus on applying, enhancing and developing process and data mining as well as natural language processing techniques. She contributed, e.g., to the formalization of instance spanning constraints and their discovery from process execution logs as well as to the direct compliance assessment between regulatory documents and processes. She received the runner-up best dissertation award at the BPM conference in 2021 and served as reviewer and PC member for conferences like BPM, ICPM and CoopIS.
Krzysztof Kluza
Krzysztof Kluza is a member of the Knowledge Engineering and Knowledge Representation (KRaKEn) and BPM@AGH research groups at AGH University of Krakow. His research focuses on the modeling and discovery of business processes and rules in information systems. Currently, he is particularly interested in applying large language models both to automatic event abstraction in IoT data for process mining and to supporting BPM education through assistance with assessment and practical exercises. He is a co-author of over 100 research papers published in conference proceedings, book chapters, and international journals. He teaches courses on process modeling and mining, as well as introductory courses on AI methods, for students in the Computer Science and Intelligent Systems programs. Occasionally, he also hosts discussions with industry experts on contemporary technologies for Bunkier Nauki on AGH University’s YouTube channel.
Journal First Track Chairs
Free University of Bozen-Bolzano
Bolzano, Italy
Sarah Winkler
Sarah Winkler is a postdoctoral researcher at the Free University of Bozen-Bolzano. She is broadly interested in process verification, automated reasoning, and process mining in general. During her PhD at the University of Innsbruck she studied equational theorem proving. Since then, she also worked at Microsoft Research on program verification, and at the University of Verona on automated reasoning. In the last couple of years, her focus shifted to applying automated reasoning to the verification of processes with data.
Rheinisch-Westfälische Technische Hochschule University (RWTH)
Aachen, Germany
Sander Leemans
Sander J.J. Leemans is a professor at the Rheinisch-Westfälische Technische Hochschule University (RWTH), Aachen, Germany. His research interests include process mining, process discovery, conformance checking, stochastic process mining, and robotic process automation.
University of Koblenz
Germany
Carl Corea
Carl Corea is a postdoctoral researcher in the Process Science Group at the University of Koblenz, Germany. He received his PhD in computer science with distinction in 2020. His research interest lies on the intersection between business informatics and a more formal, theoretical informatics. His works have been published in various outlets in the fields of information systems research and AI, including conferences such as BPM, KR or ECAI and journals such as Artificial Intelligence (AIJ). In 2024, he served as acting professor at the University of Giessen, Germany. Next to his academic position, he currently serves as a visiting researcher at SAP Signavio in the area of Business Rule- and DMN research. Dr. Corea furthermore serves as a PC member of various conferences in the area of Business Process Management and Artificial Intelligence.
Proceedings Chair
Johannes de Smedt
Johannes De Smedt is an Assistant Professor at the Department of Decision Sciences and Information Management at the Faculty of Economics and Business of KU Leuven, Belgium. He holds a PhD in Information Systems Engineering and previously held the Dixons Carphone (Senior) Lectureship in Business Analytics at the University of Edinburgh. His research interests include declarative process approaches, the analysis of ordered data, including sequence mining, time series, as well as process analytics geared towards process model forecasting and XAI in predictive process monitoring. He has published over 30 journal papers in major outlets including IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems, and Decision Support Systems, and has published in the proceedings of and is programme committee member of numerous conferences including the International Conference on Business Process Management, Advanced Information Systems Engineering, and Process Mining.
Assistant Professor, Instituto Superior Técnico de Lisboa
Lisbon, Portugal
Alessandro Gianola
Alessandro Gianola is an Assistant Professor (tenure track) at Instituto Superior Técnico, Universidade de Lisboa (Portugal), and a Senior Researcher at INESC-ID (Lisbon, Portugal). He works on Business Process Management (BPM), formal methods and AI, focusing on the analysis of complex processes enriched with data, and multi-perspective process mining. He co-authored more than 50 referred papers published in a wide range of venues in Information Systems and AI, including top-rated journals such as Information Systems and Engineering Applications of Artificial Intelligence, and premier conferences like AAAI, IJCAI, BPM, CAiSE and IJCAR. He was awarded several prestigious awards, comprising the 2022 Best BPM Dissertation Award and the Best Paper Award at BPM 2021; he also single-authored a Springer monograph on verification of data-aware processes. He was/is PC co-chair of EDOC 2025, Proceedings Chair of ECAI 2025, Workshops Chair of FLoC 2026 (the 9th Federated Logic Conference), co-chair of the CBI/EDOC 2024 Forum Track, and co-chair of FM-BPM 2023, 2024 and 2025. He has been PC member of several editions of the leading conferences in BPM (BPM, CAiSE and ICPM) and in AI (e.g., IJCAI, AAAI, ECAI, KR, CADE).
Diversity, Equity & Inclusion Chair
University of Queensland
Brisbane, Australia
Shazia Sadiq
Shazia Sadiq FTSE is a Professor of Computer Science at the University of Queensland. Her main research interests are innovative solutions for Business Information Systems that span several areas including business process management, governance, risk and compliance, and information quality and use. She has published over 200 peer-reviewed publications and attracted research funding from the Australian Research Council, industry and various national and international funding bodies. Shazia is currently serving on the National Committee on Information and Communication Sciences at the Australian Academy of Science, a fellow of the Australian Academy of Technology and Engineering, member of The Australian Research Council College of Experts 2018-2021, and Centre Director for the ARC Industry Transformation Training Centre on Information Resilience 2020-2025.
Flavia Santoro
Flavia Santoro is the Academic Dean of the Institute of Technology and Leadership (Inteli), and she is a professor at the University of the State of Rio de Janeiro. She earned her Ph.D. in Systems and Computer Engineering from the Federal University of Rio de Janeiro (UFRJ), alongside a Bachelor's degree in Electronic Engineering from the UFRJ's Polytechnic School, and a Master's degree in Contemporary Philosophy from the Pontifical Catholic University of Rio de Janeiro. Since 2009, she has been a recipient of the prestigious National Council of Technological and Scientific Development (CNPq) Fellowship. Her academic journey also includes sabbaticals at the Université Pierre et Marie Curie - Paris VI, France, during 2004-2005, and at Queensland University of Technology, Australia, from 2012 to 2013. With over two decades of experience as an educator and researcher in the field of Information Systems, Santoro's work primarily focuses on Business Process Management, Knowledge-intensive Processes, Knowledge Management, and Computer Supported Cooperative Work and Learning. Beyond academia, she has lent her expertise as a consultant on numerous projects related to BPM and software development for various companies.
University in Montreal
Montreal, Canada
Araham Jesus Martinez Lagunas
Araham is a construction professional driving the digital transformation of the construction industry through innovative, state-of-the-art technologies and methodologies aimed at enhancing efficiency and automation in construction business operations throughout the entire life cycle of construction projects. Araham's current efforts focus on advancing process intelligence in construction projects by leveraging data-driven and AI-powered methods, integrating the latest ICT research developments with practical industry applications to address the persistent challenge of productivity stagnation in the construction sector.
Araham is pursuing his doctoral degree as a PhD candidate in Building Engineering at Concordia University in Montreal, Canada. Araham holds a bachelor’s degree in civil engineering and a master’s degree in construction management. He has over 10 years of experience in the construction industry, working on residential, industrial, institutional, and infrastructure projects.
Publicity Chair
University of Seville
Seville, Spain
María Salas Urbano
María Salas Urbano is a PhD student at the University of Seville, Spain, and a member of the ISA research group in the Department of Languages and Computer Systems. Her thesis focuses on process mining, particularly on process visualizations and on providing support to process mining analysts in performing their tasks. She is supervised by Manuel Resinas and Cristina Cabanillas. She has presented her work at prestigious conferences such as BPM and ICSOC.
KU Leuven
Leuven, Belgium
Jari Peeperkorn
Jari Peeperkorn is a postdoctoral researcher at the LIRIS research group, at the faculty of Economics and Business at KU Leuven (Belgium), specializing in the application of machine learning within a process mining context. At the moment, he is working on a FWO junior postdoctoral fellowship on robust multimodal prediction in business processes, with prof. Johannes De Smedt and prof. Jochen De Weerdt. Other projects he has been involved in include among others evaluation metrics of predictive process monitoring solutions, ML-driven conformance checking of process models, process model forecasting, and adversarial attacks for robustness checks in predictive process monitoring. He successfully defended his PhD dissertation on “Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process Mining” in 2023, under the supervision of prof. Jochen De Weerdt and prof. Seppe vanden Broucke.