Prof Suprateek Sarker 

Biographical Summary:

Suprateek Sarker (“Supra”) is Rolls-Royce Commonwealth Commerce Professor (Information Technology) at the McIntire School of Commerce, University of Virginia. He earned his Ph.D. degree in Information Systems from the University of Cincinnati under the supervision of Professor Allen Lee. Suprateek’s research, which typically uses qualitative approaches or mixed methods, has been published in many journals, including Information Systems Research, MIS Quarterly, the Journal of the AIS, and the Journal of MIS. His work has been funded by the National Science Foundation (USA), and he has received Honorary Doctorates from two leading institutions in Europe. Suprateek currently serves as the Editor-in-Chief of Information Systems Research, and as the President of the AIS.

Prof Alan R. Hevner

Biographical Summary:

Alan R. Hevner is a Distinguished University Professor and Eminent Scholar in the School of Information Systems and Management in the Muma College of Business at the University of South Florida. He holds the Citigroup/Hidden River Chair of Distributed Technology.

Hevner’s areas of research interest include design science research, digital innovation, information systems development, software engineering, distributed database systems, and healthcare systems. He has published over 300 research papers on these topics with nearly 30,000 citations to his papers.

Hevner received a PhD in computer science from Purdue University. He has held faculty positions at the University of Maryland and the University of Minnesota. Hevner is a Fellow of the American Association for the Advancement of Science, a Fellow of the Association for Information Systems, and a Fellow of IEEE. He is a member of ACM and INFORMS.

Additional honors include selection as a Parnas Fellow at Lero, the Irish software research center, a Schoeller Senior Fellow at Friedrich Alexander University in Germany, and the 2018 Distinguished Alumnus award from the Purdue University Computer Science Department. From 2006 to 2009, he served as a program manager at the U.S. National Science Foundation in the Computer and Information Science and Engineering Directorate.

Frank Seidel


Making the transformative power of AI available

Biographical Summary:

Frank Seidel leads Data Transformation and Artificial Intelligence within the BMW Group IT. His teams design, build and operate the BMW AI platform, enable and build solutions on the AI platform and provide advanced data analytics services. Furthermore he leads the data transformation network, responsible for data governance across the BMW group.

He graduated from University of Karlsruhe in industrial engineering in 1998, having also gained experience in the US and Singapore. He afterwards spent 5 years in management consulting and software development focussing on the transformative nature of technology and its effect on the financial and manufacturing industry.

Frank Seidel looks back on 20 years of experience within the BMW Group covering a wide range of business and IT processes. These range from transforming HR processes to a shared service centre approach to advancing the use of modular components in vehicle development. He has also lead a large change management and leadership transformation initiative. And he took responsibility for shaping the enterprise architecture landscape of sales, aftersales and customer towards cloud based solutions.

Before taking over Data Transformation and Artificial Intelligence he headed the domain responsible for all systems concerning production integration and conformity of production, leading the redesign from legacy mainframe systems to successful cloud transformation.