Viktor Schulz

Research and Development of machine learning algorithms for structuring, anomaly detection and information extraction Development of pricing measures based on customer buying behavior modeling Development of data mining algorithms for the evaluation of assortment measures Consulting activity for automation and optimization of internal procedures/processes

Data Analysis Financial modelling using Machine Learning techniques

-European research projects aiming at Harmonization, Test and Deployment of Intelligent Transport Systems (ITS)/ Car2Infrastructure /Car2X -Traffic influencing systems, automatic processing and control of infrastructure capacity. - Detection, analysis and extrapolation of congestions within traffic surveillance using traffic data time series (inter alia based on detection of automotive on– board Bluetooth devices). - Wrong-way driver detection

-R&D of an "artificial nose" based on Deep Learning for odor pattern recognition using nano sensors -Wind yield forecast and optimisation using modelling of wind turbulences -Preventive maintenance based on system behaviour deviations; aging of system components and system lifetime modelling) -R&D of autonomous underwater vehicles for Federal Armed Forces -Development of SMART HOME solutions System behavioral modelling and design

Electrical Engineering; Human-Computer Interaction, HCI / Elektrotechnik; Mensch Maschine Wechselwirkung