7347632309

Applications:
Bioinformatics, Computer Science, Computer Vision, Electrical Engineering, Electronic Medical Record Data, Genomics, Medical Imaging, Medical Informatics, Robotics, Sensors and Sensor Networks
Methodologies:
Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Digital Data Curation, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Image Data Processing and Analysis, Information Theory, Longitudinal Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Optimization, Pattern Analysis and Classification, Real-time Data Processing, Signal Processing, Sparse Data Analysis, Spatio-Temporal Data Analysis, Statistical Inference, Statistics, Tensor Analysis, Time Series Analysis
Relevant Projects:

NSF, Department of Defense, Toyota Motor Company


Connections:

member of SIAM, IEEE

Harm Derksen

Professor

Department of Mathematics

Current research includes a project funded by Toyota that uses Markov Models and Machine Learning to predict heart arrhythmia, an NSF-funded project to detect Acute Respiratory Distress Syndrome (ARDS) from x-ray images and projects using tensor analysis on health care data (funded by the Department of Defense and National Science Foundation).