Interop is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Schedule Builder

View, browse, and sort the ever-growing list of sessions by pass type, track, and format. With this Schedule Builder, you can build your schedule in advance and access it during the show via export or with the mobile app, once live. For your schedule to sync properly with the mobile app, be sure to login to Schedule Builder with the same email address you used to register for Interop 2019.

Sessions do fill up and seating is first come, first serve, so arrive early to sessions that you would like to attend. Please note that adding a session into your agenda does NOT guarantee you a seat to the session.

David OstrowskiPhDFord Motor Company

David Ostrowski has over 30 years professional experience in software development and analytics between the areas of Big Data analytics, manufacturing simulation, analytical modeling, agent-based modeling, database and real-time data acquisition. He currently works at Ford Motor Company as a Data Scientist in Product Analytics within the Global Data Insights and Analytics organization. Dr. Ostrowski received his B.B.A. in Management Information Systems from the University of Michigan-Dearborn in 1987, M.S. in Computer Science from Wayne State University in 1992 with concentration in Software Engineering and Artificial Intelligence and Ph.d. in Computer Science in 2002 also from Wayne State University with his thesis involving the application of Cultural Algorithms applied in the context of Agent-Based Modeling. He has over 50 refereed publications, two book chapters and numerous internal technical reports and participates in several academic committees including IEEE TEC transactions, IEEE ICSC and IEEE ICIOS. He also has two decades of experience as an adjunct professor having taught Computer Science in graduate and undergraduate curriculums in areas including Compiler Design, Theory of Computation and Artificial Intelligence.

Presenting: