Frans Van Den Bergh
About Frans Van Den Bergh
Frans Van Den Bergh is a Staff Embedded Software Engineer at Aquabyte, with a strong academic background in computer science from the University of Pretoria, including a Ph.D. in Numerical Optimisation. He has extensive experience in embedded software development and machine vision, notably contributing to the MTF Mapper project.
Work at Aquabyte
Frans Van Den Bergh currently holds the position of Staff Embedded Software Engineer at Aquabyte, where he has been employed since 2024. His role is based in Pretoria, Gauteng, South Africa, and he operates remotely. Prior to his current position, he served as a Senior Embedded Software Engineer at Aquabyte from 2021 to 2024. His work focuses on embedded software solutions, contributing to the company's technological advancements in the field.
Education and Expertise
Frans Van Den Bergh has an extensive educational background in computer science, having studied at the University of Pretoria. He earned a B.Sc in Computer Science from 1995 to 1997, followed by a B.Sc (Hons) in 1998. He continued his studies with an M.Sc in Machine Vision in 1999 and achieved a Ph.D. in Numerical Optimisation from 2000 to 2001. His expertise includes solving complex machine vision problems, exemplified by his development of the MTF Mapper project.
Background
Frans Van Den Bergh has a diverse professional background, including significant roles in both academia and industry. He worked as a Senior Lecturer and Part-time Lecturer at the University of Pretoria from 1998 to 2003. His industry experience includes a position as an Embedded Software Specialist at Rapid Mobile from 2003 to 2004 and a long tenure as Principal Researcher at the CSIR (Meraka Institute) from 2004 to 2021.
Achievements
Frans Van Den Bergh is recognized for his contributions to the field of machine vision, particularly through the development of the MTF Mapper open source software project. This project automates the measurement of the Modulation Transfer Function (MTF) using the slanted-edge method, showcasing his ability to address challenging technical problems effectively.