Gerhard Langelaar

Gerhard Langelaar has worked in the field of science for over 20 years. Gerhard started their career in 1999 as a Senior Scientist at Philips Content Identification and Research Scientist / Specialist at Philips Digital Systems Laboratories. During their time at Philips, their research work resulted in several patents and algorithms. Gerhard also developed a commercial block detection algorithm and a watermarking algorithm which was used by Philips Content Identification for generating unique discs for the 2003 Academy Award Screeners. This algorithm won the "Best content protection technology" of the "Cable & Satellite International / Mediacast Product of the Year Awards 2003".

In 2008, Gerhard moved to Civolution as a Senior Scientist. During their time there, Civolution received two Technology & Engineering Emmy Awards, one for its WM Technologies in 2016 and one for its Video Identification Technology in 2018. Gerhard also developed an audio fingerprinting algorithm which resulted in a patent. Gerhard was also chairman of the works council during the transitions from Civolution to Teletrax.

In 2015, Gerhard moved to 4C Insights as a Senior Scientist and Teletrax as a Senior Scientist. At Teletrax, they were chairman of the works council during the transitions from Teletrax to 4C Insights. In 2019, they moved to Kinetiq TV as a Senior Scientist.

Gerhard Langelaar obtained their PhD from Delft University of Technology's Faculty of Information Technology and Systems (ITS), Information and Communication Theory Group in 1999. Prior to this, they obtained their MSc in Electrical Engineering from the same university in 1995. Gerhard also holds certifications from LinkedIn in Advance Your AI and Machine Learning Skills, Google Cloud Platform Essential Training, Accelerating TensorFlow with the Google Machine Learning Engine, Advance Your Skills as a Python Data Expert, Artificial Intelligence Foundations: Machine Learning, Become a Data Analytics Specialist, Become a Data Scientist, Become an AI and Machine Learning Specialist, Part II, Become an AI and Machine Learning Specialist: Part I, Deep Learning: Face Recognition, Deep Learning: Image Recognition, Master Python for Data Science, OpenCV for Python Developers, R Statistics Essential Training, Stay Ahead in Manufacturing with 3D Printing, 8D030 - Medical Image Analysis: Techniques and Applications, and Video Processing on a GPU with DIRECTX.