Data Analytics
Learning from data for optimal decisions.
Our data analytics work addresses predictive modeling techniques, including system identification, anomaly detection, feature selection, and time series analysis, as well as methods to solve various decision optimization problems including continuous optimization, combinatorial optimization, and sequential decision making.
Quick Links
-
News & Events
-
NEWS Mouhacine Benosman to deliver keynote at the mini-symposium 'Data assimilation in Model Order Techniques for Computational Mechanics' Date & Time: July 29, 2019; 10 AM
Where: US National Congress on Computational Mechanics 2019, in Austin Texas
MERL Contact: Mouhacine Benosman
Research Areas: Control, Data Analytics, Dynamical SystemsBrief- MERL researcher Mouhacine Benosman will present his work on 'Learning-based Robust Stabilization for Reduced-Order Models of 3D Boussinesq Equations' as a keynote speaker at the mini-symposium 'Data assimilation in Model Order Techniques for Computational Mechanics', during the next US National Congress on Computational Mechanics 2019, in Austin Texas.
-
NEWS Mouhacine Benosman co-edited a special issue on Learning-based Adaptive Control: Theory and Applications Date: February 4, 2019
MERL Contact: Mouhacine Benosman
Research Areas: Control, Data Analytics, Dynamical SystemsBrief- Mouhacine Benosman is a guest editor of a special issue on Learning-based Adaptive Control: Theory and Application, recently published by the International Journal of Adaptive Control and Signal Processing. Other guest editors included Professor F.L. Lewis (University of Texas at Arlington Research Institute), Professor M. Guay (Queen's University), and Professor D. Owens (The University of Sheffield).
The special issue presents results of current research on learning-based adaptive methods, merging together model-based and data-driven machine learning approaches.
More information on the content of this special issue can be found at:
https://onlinelibrary.wiley.com/toc/10991115/2019/33/2
- Mouhacine Benosman is a guest editor of a special issue on Learning-based Adaptive Control: Theory and Application, recently published by the International Journal of Adaptive Control and Signal Processing. Other guest editors included Professor F.L. Lewis (University of Texas at Arlington Research Institute), Professor M. Guay (Queen's University), and Professor D. Owens (The University of Sheffield).
See All News & Events for Data Analytics -
-
Recent Publications
- , "Introducing Time Series Chains: A New Primitive for Time Series Data Mining", Knowledge and Information Systems, DOI: 10.1007/s10115-018-1224-8, Vol. 60, No. 2, pp. 1135-1161, August 2019.
- , "Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models", European Control Conference (ECC), June 2019.
- , "Fault Detection and Classification of Time Series Using Localized Matrix Profiles", IEEE International Conference on Prognostics and Health Management, June 2019.
- , "Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences", IEEE Pacific Visualization Symposium (PacificVis), June 2019.
- , "Heat Exchanger Circuitry Design by Decision Diagrams", International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, DOI: 10.1007/978-3-030-19212-9_30, June 2019, vol. 11494, pp. 467-471.
- , "Last-Mile Scheduling Under Uncertainty", International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, DOI: 10.1007/978-3-030-19212-9_34, June 2019, vol. 11494, pp. 519-528.
- , "Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze", IEEE International Conference on Robotics and Automation (ICRA), May 2019.
- , "On the Minimum Chordal Completion Polytope", Operations Research, DOI: 10.1287/opre.2018.1783, Vol. 67, No. 2, pp. 295-597, March 2019.
-
Videos
-
Free Downloads
