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.
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Researchers
Daniel
Nikovski
Christopher
Laughman
Matthew
Brand
Arvind
Raghunathan
Hongtao
Qiao
Hongbo
Sun
Saleh
Nabi
William
Yerazunis
Piyush
Grover
Hiroyuki
Hashimoto
Devesh
Jha
Emil
Laftchiev
Scott
Bortoff
Diego
Romeres
Jinyun
Zhang
Michael
Jones
Mouhacine
Benosman
Frederick
Igo Jr.
Teng-Yok
Lee
Thiago
Serra
Naoto
Konno
Jing
Zhang
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Awards
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AWARD MERL researcher wins Best Visualization Note Award at PacificVis2019 Conference Date: April 23, 2019
Awarded to:
MERL Contact: Teng-Yok Lee
Research Areas: Artificial Intelligence, Computer Vision, Data Analytics, Machine LearningBrief- MERL researcher Teng-yok Lee has won the Best Visualization Note Award at the PacificVis 2019 conference held in Bangkok Thailand, from April 23-26, 2019. The paper entitled "Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences" presents a visualization method called Space-Time Slicing to assist a human developer in the development of object detectors for driving applications without requiring labeled data. Space-Time Slicing reveals patterns in the detection data that can suggest the presence of false positives and false negatives.
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AWARD Best Student Paper Award at the International Conference on Data Mining Date: November 30, 2017
Awarded to:
MERL Contact: Daniel Nikovski
Research Area: Data AnalyticsBrief- Yan Zhu, a former MERL intern from the University of California at Riverside has won the Best Student Paper Award at the International Conference on Data Mining in 2017, for her work on time series chains, a novel primitive for time series analysis. The work was done in collaboration with Makoto Imamura, formerly at Information Technology Center/AI Department, and currently a professor at Tokai University in Tokyo, Japan, Daniel Nikovski from MERL, and Yan's advisor, Prof. Eamonn Keogh from UC Riverside, whose lab has had a long and fruitful collaboration with MERL and Mitsubishi Electric.
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AWARD DEIM 2010 Best Paper Award Date: February 1, 2010
Awarded to:
MERL Contact: William Yerazunis
Research Area: Data Analytics
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News & Events
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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.
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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).
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Recent Publications
- , "Space-Time Slicing: Visualizing Object Detector Performance in Driving Video Sequences", IEEE Pacific Visualization Symposium (PacificVis), June 2019.
- , "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.
- , "Derivative-free online learning of inverse dynamics models", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2019.2891222, March 2019.
- , "Learning Dynamical Demand Response Model in Real-Time Pricing Program", IEEE Innovative Smart Grid Technologies North America (ISGT NA), February.
- , "Derivative-Free Semiparametric Bayesian Models for Robot Learning", Advances in Neural Information Processing Systems (NIPS), December 2018.
- , "Algorithms for Task Allocation in Homogeneous Swarm of Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), DOI: 10.1109/IROS.2018.8594052, October 2018.
- , "Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables", International Workshop on Principle of Diagnosis, August 2018.
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