Ivan Dynov finished his PhD in mathematics at the Max-Planck-Institute for Mathematics in Bonn, Germany in 2008. After being involved in postdoctoral mathematics research for two years following his PhD, he decided to deviate his career into the area of business development. Due to his involvement in technical conferences and IT trainings, Ivan has gained extensive knowledge in various fields, in particular Automotive and IT. Currently, Ivan is devoting his time to producing exclusive technical events in the automotive industry and writing about this subject. His topics of interest include: artificial intelligence in automotive, software development approaches and methods, functional safety, cybersecurity and others.  Due to his mathematical background and his understanding of the business aspects, Ivan has developed a passion for writing about the latest technological subjects that are relevant to the current market situation. 

The higher the level of automation for a car, the more “intelligent” the vehicle needs to become. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome...Full Article »
Car manufacturers and suppliers worldwide have worked over the years on improvements in the area of mechanics, quality requirements and logistics. However, the main differentiation factor between brands turned out to be the electronics area. Whereas areas such as power train and body had small product development cost increases over the years, the...Full Article »