Data Science and Engineering
Overview
The data science and engineering (DSE) group works to develop technology, processes, and software to enable effective access to and utilization of overwhelming amounts of information. The group studies the fundamental problems that arise throughout the DSE pipeline, which leads from the original noisy data measurements to decisions and visualizations enabled by the data. Solving these problems requires contributions from a variety of fields including signal processing, database systems, machine learning, data mining, artificial intelligence, as well as areas that study particular data modalities such as computer vision and natural language processing.
Our group grounds its work in a wide variety of application domains. Some examples include ecological modeling from citizen science and sensor data, medical data applications, precision agriculture, anomaly detection for security and data integrity, activity recognition in video, computational biology, and others.
Sub Areas
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Signal Processing
- Databases and Data Management
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Data Security and Privacy
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Data Visualization and Graphics
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Machine Learning and Data Mining
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Bioinformatics and Computational Biology
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Ecosystem Informatics and Computational Sustainability
Faculty
Alireza Aghasi
Associate Professor
alireza.aghasi@oregonstate.edu
Research
Data science and machine learning; signal and image processing; optimization theory; statistics and probability theory
Patrick Donnelly
Assistant Professor
Patrick.Donnelly@osucascades.edu
Research
Deep learning from non-speech audio; educational data mining from audio; large imbalanced datasets; machine learning in the musical domain
Rebecca Hutchinson
Associate Professor
rebecca.hutchinson@oregonstate.edu
Research
Latent variable models, semi-parametric methods, network analysis, model evaluation strategies, with applications in ecology.
Karthika Mohan
Assistant Professor
karthika.mohan@oregonstate.edu
Research
Causal inference; graphical models; AI safety