The 3rd Process Mining Summer School brings together distinguished academics and industry experts from around the world to deliver a comprehensive curriculum on process mining and AI.
Lecturers
Prof. Wil van der Aalst
RWTH Aachen University, Germany
Title: Unlocking Process Intelligence: A 360 Degree Introduction to Process Mining · From Event Logs to Process Logic: The Basics of Process Discovery · Conformance Checking: Token-Based Replay and Alignments
Widely known as the "Godfather of Process Mining," Prof. van der Aalst leads the Process and Data Science (PADS) group at RWTH Aachen University and serves as Chief Scientist at Celonis. One of the most-cited computer scientists in the world and an IFIP, IEEE, and ACM Fellow, he is the author of the seminal book "Process Mining: Data Science in Action."
Prof. Moe Wynn
Queensland University of Technology, Australia
Title: Building Strong Data Foundations for Process Mining
Prof. Wynn is a Professor in the Information Systems School at QUT, where she leads the Process Science group (formerly the BPM group), and a steering committee member of the IEEE Task Force on Process Mining. Her research spans process data quality, cost-aware and cross-organisational process mining, and process automation.
Poornima Dhall
Celonis
Title: Process Mining Hands-On A (Celonis)
Poornima Dhall is a Lead Partner Manager for Academic Alliances (APAC) at Celonis. She works with universities and organizations across the Asia-Pacific region to introduce process mining, run training cohorts, and bring an industry perspective on applying the technology to real-world process improvement.
Julian Lebherz
Strategic Solution Advisor, APAC — SAP Business Transformation Management (BTM)
Title: Process Mining Hands-On B: AI Agent Mining in Practice
Julian Lebherz is a Strategic Solution Advisor for APAC in SAP Business Transformation Management (BTM) and a QUT Industry Fellow. With over a decade of specialized experience deploying process intelligence solutions and building delivery organizations across industries — from manufacturing to life sciences — he is recognized as one of the leading experts in the field, and helps enterprises realize sustainable value from the SAP Signavio suite.
Tony (RaeSung) Park
Head of Solution Advisory, Korea — SAP Business Transformation Management (BTM)
Title: Process Mining Hands-On B: AI Agent Mining in Practice
Tony (RaeSung) Park heads Solution Advisory for Korea in SAP Business Transformation Management (BTM), supporting process innovation for Korean enterprises with the SAP Signavio portfolio at its core. He co-leads the hands-on session with Julian Lebherz, bringing the perspective of local enterprise deployments.
Prof. Marco Comuzzi
UNIST, South Korea
Title: Unleashing Predictive and Generative AI in Process Mining
Prof. Comuzzi is an Associate Professor in the Department of Industrial Engineering at UNIST, where he leads the Intelligent Enterprise Lab and directs the Blockchain Research Center. He earned his PhD from Politecnico di Milano and previously held positions at Eindhoven University of Technology and City, University of London; his research centers on process mining, machine learning, and blockchain systems.
Prof. Bernardo Nugroho Yahya
Hankuk University of Foreign Studies, South Korea
Title: Federated Process Mining: Federated Event Log Generation for Process Discovery across Organizational Boundaries
Prof. Yahya is a Full Professor in the Industrial & Management Engineering Department (Data Analytics Program) at Hankuk University of Foreign Studies. He holds a PhD in Industrial Engineering from Pusan National University, and his research spans machine learning, business process intelligence, process mining, and pattern analysis, with applications in supply chains and manufacturing.
Prof. Angelina Prima Kurniati
Telkom University, Indonesia
Title: Process Mining Case Studies
Prof. Kurniati is an Associate Professor in the School of Computing at Telkom University, with expertise in data science, data mining, and process mining. Her research applies process mining to healthcare — including oncology care pathways and disease-trajectory analysis on Indonesian health-insurance data — with an emphasis on process-data quality.
Prof. Simon Poon
The University of Sydney, Australia
Title: Evidence-Based Evaluation of Process Mining in Healthcare
Prof. Poon is an Associate Professor in the School of Computer Science at the University of Sydney. His research sits at the intersection of health informatics, data analytics, and process mining, with a focus on evaluating how data-driven methods deliver measurable value in clinical and healthcare settings.
What You'll Learn
- Foundational concepts and algorithms in process mining
- Practical skills using industry-standard tools (PM4Py, Celonis)
- Advanced topics including OCPM and predictive monitoring
- Real-world case studies and industry applications
- Networking opportunities with experts and peers