Title: Improve and Automate Business Processes using AI & Blockchain Technology
Speaker: Marlon Dumas, Institute of Computer Science University of Tartu's, firstname.lastname@example.org
Time: 9:00-16:30, Oct 9-10, 2019; 9:00-12:00, Oct 11, 2019
Venue: 1-103, Teaching Building （1区）
This course will give an introduction to emerging approaches to improve and automate business processes using Artificial Intelligence and Blockchain Technology.
The course will cover four topics: (1) process mining, (2) predictive process monitoring, (3) robotic process mining, and (4) collaborative process execution using blockchains.
Introduce a taxonomy of process mining operations, and will delve down into four types of operations: automated process model discovery, conformance checking, drift detection, and automated discovery of simulation models. We will then introduce algorithms for implementing these operations and we will illustrate how these algorithms can be used in the Apromore open-source process mining platform.
Introduce a range of methods and architectures for building machine learning models for predictive process monitoring, all the way from techniques based on gradient boosting to techniques based on deep learning (e.g. recurrent neural networks). We will also illustrate several predictive process monitoring techniques in the Apromore platform.
Give an overview of algorithms for robotic process mining and will discuss open challenges and opportunities in this field.Introduce different architectures and existing tools for blockchain-based collaborative process management, including Lorikeet and Caterpillar.
Marlon Dumas is currently Professor of Information Systems at University of Tartu's Institute of Computer Science, where he leads the Software Engineering & Information Systems Research Group. During his career, Prof. Dumas has attracted and executed research projects funded by the Australian Research Council, the European Union (FP7 and H2020 programmes), DARPA, U.S. Army Research Lab, and multinational companies including SAP, Microsoft, Skype, and Swedbank. He has supervised 18 PhD students up to completion and is currently supervising seven PhD students.
Prof. Dumas's is an active researcher in the fields of business process management, business analytics, and information systems engineering and management. He has co-authored over 200 research publications in these fields. With over 25000 citations and an H-index of 69, he is among the 15 most-cited researchers in the field of Information Systems worldwide according to Google Scholar (second in Europe). Prof. Dumas's research has earned seven best paper awards at international conferences in the fields of software engineering and information systems, as well as three best student paper awards (with his PhD students) two test-of-time awards, and two best prototype demonstration awards. His research has been published in several A*-ranked or A-ranked conferences and journals including the WWW conference, Information Systems, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, and IEEE Transactions on Knowledge and Data Engineering.
Prof. Dumas’s research has led to several major open-source prototypes including YAWL – a workflow management system used in several large organizations including the European Space Agency – and Apromore.org – a process mining tool used in several financial companies in Europe and Australia. He is also co-inventor of 10 U.S./EU patents and co-author of the textbook "Fundamentals of Business Process Management" (Springer), which is used about 250 universities worldwide.