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Keynote Speakers

ICCMB2024 Keynote & Invited Speakers



Prof. Wil van der Aalst
RWTH Aachen University, Germany

(Fellow of ACM, IEEE, IFIP,
"Godfather of Process Mining")

Biography: Prof.dr.ir. Wil van der Aalst is a full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. He is also the Chief Scientist at Celonis, part-time affiliated with the Fraunhofer FIT, and a member of the Board of Governors of Tilburg University. His research interests include process mining, Petri nets, business process management, workflow management, process modeling, and process analysis. Wil van der Aalst has published over 900 articles and books. According to Research.com, he is the highest-ranked computer scientist in Germany and ranked 10th worldwide. According to Google Scholar, he has an H-index of 177 and more than 140.000 citations. Van der Aalst is an IFIP Fellow, IEEE Fellow, ACM Fellow, and received honorary degrees from the Moscow Higher School of Economics (Prof. h.c.), Tsinghua University, and Hasselt University (Dr. h.c.). He is also an elected member of the Royal Netherlands Academy of Arts and Sciences, the Royal Holland Society of Sciences and Humanities, the Academy of Europe, the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts, and the German Academy of Science and Engineering. In 2018, he was awarded an Alexander-von-Humboldt Professorship.
Speech Title: Revolutionizing Operational Processes: The Impact of Object-Centric Process Mining and Generative AI
Synopsis: Although ChatGPT and related software are part of board-level discussions, organizations are still struggling with the basics. Operational processes that seem simple (e.g., procurement, sales, and assembly) still generate problems due to a lack of understanding and proper IT support. Therefore, AI and ML cannot be applied effectively without using process mining to better understand the actual processes and connect evidence-based management views to available data. However, traditional process mining, while powerful and effective, is not without limitations. Data extraction and transformation can be time-consuming and need to be repeated when viewpoints of questions change. Interactions between process objects (e.g., sales orders, sales order items, shipments, invoices, etc.) are not captured in traditional event logs and are, therefore, difficult to analyze using traditional techniques. Object-Centric Process Mining (OCPM) and the newly released OCEL 2.0 standard address these problems. In his keynote, prof. Wil van der Aalst delves into the transformative power of OCPM and highlights the changes in going from OCEL 1.0 to OCEL 2.0. He will explain recently developed techniques exploiting object-centricity and briefly relate this to the interplay between process mining and generative and discriminative AI (from classical ML to LLMs).


Prof. Loon Ching TANG
National University of Singapore, Singapore

(Director of TDSI, NUS, Fellow of ISEAM)

Biography: Dr Loon Ching TANG is currently a professor of Department of Industrial Systems Engineering & Management at the National University of Singapore and a Fellow of the Academy of Engineering, Singapore. He obtained his Ph.D degree from Cornell University in the field of Operations Research in 1992 and has published extensively in areas related to industrial engineering and operations research. He has been presented with a number of best paper awards including the IIE Transactions 2010 Best Application Paper Award and 2012 R.A. Evans/P.K. McElroy Award for the best paper at Annual RAMS. Prof Tang is the main author of the award-winning book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts. Besides being active in the forefront of academic research, in the last 30 years, Prof Tang has served as a consultant for many organizations, such as the Ministry of Home Affair, Singapore Power Grid, Republic of Singapore Air Force, Seagate, HP, Phillips, etc, on a wide range of projects aiming at improving organizational and operations excellence; especially through better management of engineering assets. He is currently a fellow of ISEAM, the Co-Editor-in-Chief of Quality & Reliability Engineering International, editorial review board member of Journal of Quality Technology.
Speech Title: System Resilience: A National Level Performance Measure
Synopsis: It is increasingly evident that climate change has induced more freqeunt natural disasters of greater magnitude that posed threats and major disruptions to critical infrastructures and systems. In view of this, itis clear that we need to look beyond traditional risk management and develop a better understanding of system resilience. Here, we present a unifying framework for defining and measuring resilience. In particular, a well-known example on supply chain interruption is presented to understand the key drivers of systems resilience. We then present a family of recovery functions of wich the associated parameters are related to the key characteritics of resilience. It is then shown that the parameters of these functions can be used to form a set of resilience indices. Data from Hurricane Sandy in US were used to illustrate the application of the recovery function for benchmarking resilience performance of power supply companies in New York State and New Jersey. We then examine the effect of learning by looking at the data from past disruptions via statistical tests.


Prof. Jozo Acksteiner
Fulda University of Applied Sciences, Germany

 

Biography: Prof. Jozo Acksteiner is a Full Professor at the Business Department of the University of Applied Sciences in Fulda, Germany, focusing on Logistics, Supply Chain Management, Business Analytics and Geographic Analytics. He is the Director of Studies for the Bachelor program Logistics Management (dual studies), and Associate Member of the Board, Hochschullehrerbund Hesse. Prof. Acksteiner was Adjunct Associate Professor at the National University of Singapore and co-chaired the Supply Chain Management Committee of the American Chamber of Singapore. He received his Ph.D. from the Georgia Institute of Technology in the USA. Prof. Acksteiner has previously worked in various strategic, operational and consulting roles for Hewlett-Packard, Singapore, as well as DHL, TNT and Booz Allen Hamilton Strategy Consulting in Germany.
Speech Title: Utilizing Geographic Analytics in Public Healthcare Systems: From Lessons Learned during the Corona Pandemics to Future Applications managing Public Health
Synopsis: In a world of big data, traditional business analytics reaches quickly its boundaries: Data is plentifully available, but the effort to gather, clean and to understand the data can be a painful, exhausting process. Furthermore, the results of the analysis might fail the reality check.
Geographic Analytics (GA) and Geographic Decision Support Systems (GDSS) have been developed to address these issues, radically speeding up the time-to-insight by leveraging the visualization of data on maps and by shifting the analytics from myriads of data points to visuals on a geographic map. GA and GDSS enable geographic decision making more effectively, with deeper insight and with better alignment in management.
In his talk, Prof. Jozo Acksteiner will introduce the concept of Geographic Analytics and how it is being applied to public healthcare systems. The presentation will deep dive into used cases such as Pandemic (Covid-19) Response Systems (an example here: https://www.hs-fulda.de/en/wirtschaft/fight-covid-19). It will exhibit the lessons learned during the Corona pandemic and it will give perspectives in future transitional research topics such as geo-correlations of environmental factors and certain diseases.

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