Prabu Dheenathayalan

Prabu Dheenathayalan has an extensive work experience in various companies and research institutions. Prabu is currently the VP of Engineering - Machine Learning at BagsID™ since 2022. Prior to that, they worked at TomTom as a Senior R&D Lead - Autonomous Driving from 2019 to 2022.

Prabu also has a long tenure at TU Delft, where they held multiple roles. From 2014 to 2019, they worked as a Research and Development Manager - Imagery and Statistics, focusing on the application of semantic segmentation methods using Deep Learning networks and developing a sensor fusion solution for 3D object models. From 2010 to 2014, they worked as a Researcher - Satellite Data/Image Processing, specializing in data mining for infrastructure monitoring and interpretation of urban radar targets.

Additionally, they had shorter research positions at RSL, University of Zurich as a Guest Researcher in 2012, and at Research Center for Information Technology (FZI) as a Localization Engineer in 2009. Prabu also worked as a Signal Processing Algorithm Developer at German Aerospace Center (DLR) in 2008 and as a Design Engineer at Harman/Becker Automotive Systems in the same year.

Earlier in their career, they worked as a Research Assistant at Institut für Technik der Informationsverarbeitung, Universität Karlsruhe in 2008, focusing on wireless sensor node design and development for disaster aid networks. Prabu started their career as an R&D Engineer at Honeywell Process Solutions from 2005 to 2007, where they developed firmware and software for industrial automation systems.

Overall, Prabu Dheenathayalan has deep expertise in machine learning, autonomous driving, satellite data processing, radar technology, wireless sensor networks, and industrial automation systems.

Prabu Dheenathayalan has a strong educational background in the field of Electrical and Electronics Engineering. Prabu completed their Bachelor's degree at PSG College of Technology from 2000 to 2005. Following that, they pursued a Master of Science degree in Electrical Engineering and Information Technologies at Karlsruhe Institute of Technology (KIT) from 2007 to 2009.

Building upon their already solid foundation, Prabu went on to obtain a Doctor of Philosophy (PhD) degree in Image Processing and Data Science with a domain focus on Remote Sensing from Delft University of Technology, which they attended from 2010 to 2014.

Apart from their formal education, Prabu has also obtained several certifications to enhance their knowledge and skills. In 2005, they became a Software Six Sigma Green Belt Certified Professional from Honeywell Process Solutions. Additionally, they have completed various courses in Python programming and data science through online platform DataCamp, including "Intermediate Python for Data Science," "Python Data Science Toolbox," "Statistical Thinking in Python," "Supervised Learning with scikit-learn," "Unsupervised Learning in Python," "Deep Learning in Python," "Convolutional Neural Networks for Image Processing," and "Advanced Deep Learning with Keras in Python" (though the specific months and years of completion are not provided for these courses).

Overall, Prabu Dheenathayalan's educational journey showcases their expertise in Electrical and Electronics Engineering and their specialization in Image Processing and Data Science, particularly in the domain of Remote Sensing.