Aaron Tomb is a Principal Investigator at Galois, where his work includes research, development, and project leadership in the area of automated and semi-automated techniques for analysis of software, including type systems, defect detection tools, formal verification, and more general software development tools based on deep analysis of program semantics. He joined Galois in 2007, and received a Ph.D. in Computer Science from the University of California, Santa Cruz on a technique for identifying inconsistent assumptions in software source code.

Lennart Beringer is an Associate Research Scholar at Princeton University, where he uses interactive proof assistants to develop provably correct compilers, program analyses, and other software verification tools. Previously, he held research appointments at the Ludwig-Maximilians-University Munich and the University of Edinburgh, where he developed proof-carrying-code techniques for mobile code architectures, focusing on properties of resource consumption and information flow security. He received his PhD degree from the University of Edinburgh for a language-based analysis of an idealized asynchronous processor architecture. In 2012, he served as the co-chair of the Third International Conference on Interactive Theorem Proving (ITP).

Dr. Johann Schumann is a member of the Robust Software Engineering Group RSE at NASA Ames. He obtained his habilitation degree (2000) from the Technische Universität München, Germany on application of automated theorem provers in Software Engineering. His PhD thesis (1991) was on high-performance parallel theorem provers. Dr. Schumann is engaged in research on software and system health management, verification and validation of advanced air traffic control algorithms and adaptive systems, statistical data analysis of air traffic control systems and UAS incident data, and the generation of reliable code for data analysis and state estimation. Dr. Schumann’s general research interests focus on the application of formal and statistical methods to improve design and reliability of advanced safety- and security-critical software.

He is employed by SGT, Inc. as Chief Scientist Computational Sciences.

Professor Sandor Veres was born and educated in Hungary as applied mathematician. He completed his PhD in dynamical modelling of stochastic systems in 1983 and worked in industry on computer controlled systems. In 1987-1988 he received two consecutive scholarships at Imperial College London and at Linacre College Oxford.

Between 1989-1999 he was lecturer at the Electronic and Electrical engineering department at the University of Birmingham and pursued research in system identification, adaptive control and embedded electronic control systems. In 2000 he joined the University of Southampton to do work in the areas of active vibration control systems, adaptive and learning systems, satellite formation flying and autonomous control. Since 2002 he has held a chair in control systems engineering and was chairman of IFAC Technical Committee of Adaptive and Learning Systems.

At Southampton he has established the Centre for Complex Autonomous Systems Engineering where he is now visiting professor. Today his main research interest is agent-based control systems and he is leading the Autonomous Systems and Robotics Group at the Department of Automatic Control at the University of Sheffield since 2013. He published about 200 papers, authored 4 books and co-authored numerous software packages.