Nathalie Baracaldo, PhD

Nathalie Baracaldo leads the AI Security and Privacy Solutions team and is a Research Staff Member at IBM’s Almaden Research Center in San Jose, CA. Nathalie is passionate about delivering machine learning solutions that are highly accurate, withstand adversarial attacks and protect data privacy.

 Iris Reinhartz-Berger, PhD

Iris Reinhartz-Berger is the head of the Department of Information Systems, University of Haifa, Israel. She received her MSc and PhD in Information Management Engineering from the Technion – Israel Institute of Technology and her BSc in computer science and applied mathematics from the Technion – Israel Institute of Technology. Her research interests include conceptual modeling, domain analysis, modeling languages and techniques for analysis and design, and systems development processes. She co-organized a series of domain engineering workshops and co-edited a book entitled “Domain Engineering: Product Lines, Languages, and Conceptual Models”. She co-chair EMMSAD – Exploring Modeling Methods for Systems Analysis & Development – working conference. Her research is published in top ranked conferences and journals, such as ER, CAISE, IEEE TSE, JSS and IST.

 Dr. Rafael Accorsi

Rafael is a Management & Strategy Consulting Director at PricewaterhouseCoopers Switzerland practice heading the global team responsible for data-driven process analytics, mining and excellence.

He has a double-hated role of using data to deliver large transformation projects on the one hand, and developing new data-driven approaches to tackle business problems on the other. Furthermore he advises on the overall process mining strategy at PricewaterhouseCoopers. Prior to joining PwC, Rafael was an Assistant Professor at the University of Freiburg, researching in the area of process mining, data protection and applied cryptography.

Rafael obtained his PhD in Computer Science from the University of Freiburg, and his MSc. degree in Mathematical and Computational Logic from the University of Amsterdam.

Prof. Dr. Peter Fettke

Topic: Next-Generation Enterprise Modeling in the Era of Artificial Intelligence and Robotic Process Automation

Dr. Peter Fettke is a professor of business informatics at Saarland University and principal researcher, research fellow and group leader at the German Research Center for Artificial Intelligence (DFKI), Saarbrücken. Peter, with his group of about 30 people, is interested in concepts, methods, and techniques at the intersection between business informatics and artificial intelligence, namely the modeling of computer-integrated systems, automated planning, and deep learning. Peter is the author of more than 150 peer-reviewed publications. His work is among the most cited articles in leading international journals on business informatics and he is one of the top 5 most cited scientists at DFKI. He is also a sought-after reviewer for renowned conferences, journals, and research organizations.