Peter Widhalm Email & Phone Number

Vienna, Austria

Research on and development of Machine Learning algorithms for statistical analysis and modelling of spatio-temporal (big) data, e.g. - Discovery and recognition of mobility and activity patterns from cellular data using Graphical Models; - Human Activity Recognition (modes of transport and locomotion) in smartphone IMU sensor time series with Neural Networks and Hidden Markov Models. - Unusual event detection and trajectory prediction with motion models learnt from massive historical GPS data. - Predictive modelling of passenger flows in public transport facilities and vehicles.Implementation with Java, Scala/Apache Spark, Python, C/C++.Acquisition and management of national and transnational research projects.Publications: https://scholar.google.com/citations?user=t892xm8AAAAJ

Cambridge, Massachusetts, United States

Research cooperation on the topic of "Analyzing mobility patterns with cellular data”.

Cambridge, Massachusetts, United States

Research cooperation on the topic of "Monitoring and Control of Bus Performance with Low-Frequency AVL Data”.

Master'S Degree, Computer Science, Graduated With High Distinction

Thesis: "Automatic Assessment of the Knee Alignment Angle on Full-Limb Radiographs."

Doctor Of Philosophy - Phd, Computational And Applied Mathematics

Thesis: "Mobility behavior reconstruction from sparse and noisy positioning data with Graphical Models."

Information Technology