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
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Researchers
Daniel N.
Nikovski
Christopher R.
Laughman
Arvind
Raghunathan
Matthew E.
Brand
Hongbo
Sun
William S.
Yerazunis
Devesh K.
Jha
Hongtao
Qiao
Diego
Romeres
Saleh
Nabi
Jing
Zhang
Scott A.
Bortoff
Jinyun
Zhang
Mouhacine
Benosman
Michael J.
Jones
Stefano
Di Cairano
Jianlin
Guo
Frederick J.
Igo, Jr.
Kyeong Jin
(K.J.)
Kim
Bingnan
Wang
Siddarth
Jain
Saviz
Mowlavi
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Awards
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AWARD Mitsubishi Electric US Receives a 2022 CES Innovation Award for Touchless Elevator Control Jointly Developed with MERL Date: November 17, 2021
Awarded to: Elevators and Escalators Division of Mitsubishi Electric US, Inc.
MERL Contacts: Daniel N. Nikovski; William S. Yerazunis
Research Areas: Data Analytics, Machine Learning, Signal ProcessingBrief- The Elevators and Escalators Division of Mitsubishi Electric US, Inc. has been recognized as a 2022 CES® Innovation Awards honoree for its new PureRide™ Touchless Control for elevators, jointly developed with MERL. Sponsored by the Consumer Technology Association (CTA), the CES Innovation Awards is the largest and most influential technology event in the world. PureRide™ Touchless Control provides a simple, no-touch product that enables users to call an elevator and designate a destination floor by placing a hand or finger over a sensor. MERL initiated the development of PureRide™ in the first weeks of the COVID-19 pandemic by proposing the use of infra-red sensors for operating elevator call buttons, and participated actively in its rapid implementation and commercialization, resulting in a first customer installation in October of 2020.
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AWARD Best conference paper of IEEE PES-GM 2020 Date: June 18, 2020
Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
MERL Contacts: Kyeong Jin (K.J.) Kim; Daniel N. Nikovski; Hongbo Sun
Research Areas: Data Analytics, Electric Systems, OptimizationBrief- A paper on A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Natural Disasters, written by Tong Huang, a former MERL intern from Texas A&M University, has been selected as one of the Best Conference Papers at the 2020 Power and Energy Society General Meeting (PES-GM). IEEE PES-GM is the flagship conference for the IEEE Power and Energy Society. The work was done in collaboration with Hongbo Sun, K. J. Kim, and Daniel Nikovski from MERL, and Tong's advisor, Prof. Le Xie from Texas A&M University.
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AWARD MERL Researcher Devesh Jha Wins the Rudolf Kalman Best Paper Award 2019 Date: October 10, 2019
Awarded to: Devesh Jha, Nurali Virani, Zhenyuan Yuan, Ishana Shekhawat and Asok Ray
MERL Contact: Devesh K. Jha
Research Areas: Artificial Intelligence, Control, Data Analytics, Machine Learning, RoboticsBrief- MERL researcher Devesh Jha has won the Rudolf Kalman Best Paper Award 2019 for the paper entitled "Imitation of Demonstrations Using Bayesian Filtering With Nonparametric Data-Driven Models". This paper, published in a Special Commemorative Issue for Rudolf E. Kalman in the ASME JDSMC in March 2018, uses Bayesian filtering for imitation learning in Hidden Mode Hybrid Systems. This award is given annually by the Dynamic Systems and Control Division of ASME to the authors of the best paper published in the ASME Journal of Dynamic Systems Measurement and Control during the preceding year.
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News & Events
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NEWS MERL launches Postdoctoral Research Fellow program Date: September 21, 2022
MERL Contacts: Philip V. Orlik; Anthony Vetro
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & AudioBrief- Mitsubishi Electric Research Laboratories (MERL) invites qualified postdoctoral candidates to apply for the position of Postdoctoral Research Fellow. This position provides early career scientists the opportunity to work at a unique, academically-oriented industrial research laboratory. Successful candidates will be expected to define and pursue their own original research agenda, explore connections to established laboratory initiatives, and publish high impact articles in leading venues. Please refer to our web page for further details.
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NEWS Dr. Benosman is invited to give the mini-course in control theory at the 2022 edition of the Benelux Meeting on Systems and Control Date: July 5, 2022 - July 7, 2022
MERL Contact: Mouhacine Benosman
Research Areas: Control, Data Analytics, Dynamical SystemsBrief- The Benelux meeting is an annual conference gathering of the scientific community of Belgium, the Netherlands, and Luxemburg around systems and control. It is especially intended for PhD researchers and a number of activities are dedicated to them, including plenary talks and a mini-course.
Dr. Benosman has been invited to give the mini-course of the 2022 edition of the conference. This course, entitled 'A hybrid approach to control: classical control theory meets machine learning theory', will be centered around the topic of safe and robust machine learning-based control.
- The Benelux meeting is an annual conference gathering of the scientific community of Belgium, the Netherlands, and Luxemburg around systems and control. It is especially intended for PhD researchers and a number of activities are dedicated to them, including plenary talks and a mini-course.
See All News & Events for Data Analytics -
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Internships
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ST1863: Radar Perception Testbed Engineering (Undergraduate/Master Students)
MERL is seeking an undergraduate or master student engineering intern to use MERL''s millimeter radar hardware testbed for experiments and data collection, and to maintain the data preprocessing pipeline from raw data acquisition, data organization, annotation, sanitization, and document preparation. Scripting in Python/MATLAB is required. Previous experience with radio frequency (RF) testbed/evaluation kits is preferred. The duration is from September to December with a flexible start date and a part-time option.
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CV1703: Software development in ROS for robotic manipulation
MERL is offering an internship position for non-research software development for robotic manipulation. The scope of the internship is to develop robust ROS packages by refactoring existing experimental code. The position is open to prospective candidates with very strong programming skills in ROS (Robot Operating System) using C++ primarily and Python respectively. The selected intern will have a software engineering role rather than research oriented. The position is open to both senior undergraduate students and master students. Flexible start and end dates.
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MS1866: Deep Unsupervised/Semi-Supervised Learning for Smart Buildings
MERL is seeking a highly motivated and qualified intern to collaborate with the Multiphysical Systems (MS) team in research on unsupervised/semi-supervised learning using data from real building energy systems. The ideal candidate is expected to be working towards a Ph.D. in deep learning for time-series, with special interest in learning representations for deep clustering. Fluency in Python and either PyTorch/Tensorflow is required. Previous peer-reviewed publications in related research topics and/or experience with mining from real-world data is preferred. The minimum duration of the internship is 12 weeks; start time is flexible.
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Recent Publications
- , "ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements", IEEE PES General Meeting, July 2022.BibTeX TR2022-101 PDF
- @inproceedings{Shirsat2022jul,
- author = {Shirsat, Ashwin and Sun, Hongbo and Kim, Kyeong Jin and Guo, Jianlin and Nikovski, Daniel N.},
- title = {ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements},
- booktitle = {IEEE PES General Meeting},
- year = 2022,
- month = jul,
- url = {https://www.merl.com/publications/TR2022-101}
- }
- , "Imitation and Supervised Learning of Compliance for Robotic Assembly", European Control Conference (ECC), July 2022.BibTeX TR2022-099 PDF
- @inproceedings{Jha2022jul,
- author = {Jha, Devesh K. and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel N.},
- title = {Imitation and Supervised Learning of Compliance for Robotic Assembly},
- booktitle = {European Control Conference (ECC)},
- year = 2022,
- month = jul,
- url = {https://www.merl.com/publications/TR2022-099}
- }
- , "APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation", International conference on Time Series and Forecasting (ITISE), June 2022.BibTeX TR2022-088 PDF
- @inproceedings{Zhang2022jun,
- author = {Zhang, Jing and Nikovski, Daniel},
- title = {APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation},
- booktitle = {International conference on Time Series and Forecasting (ITISE)},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-088}
- }
- , "Reference Governor for Hybrid Dynamical Systems", American Control Conference (ACC), June 2022.BibTeX TR2022-061 PDF
- @inproceedings{Sanfelice2022jun,
- author = {Sanfelice, Ricardo G. and Di Cairano, Stefano},
- title = {Reference Governor for Hybrid Dynamical Systems},
- booktitle = {American Control Conference (ACC)},
- year = 2022,
- month = jun,
- url = {https://www.merl.com/publications/TR2022-061}
- }
- , "Algorithms for Fast Computation of Matrix Profiles of Time Series Under Unnormalized Euclidean Distances", International Conference on Applied Statistics and Data Analytics, April 2022.BibTeX TR2022-040 PDF
- @inproceedings{Zhang2022apr,
- author = {Zhang, Jing and Nikovski, Daniel N.},
- title = {Algorithms for Fast Computation of Matrix Profiles of Time Series Under Unnormalized Euclidean Distances},
- booktitle = {International Conference on Applied Statistics and Data Analytics},
- year = 2022,
- month = apr,
- url = {https://www.merl.com/publications/TR2022-040}
- }
- , "Algorithms for Fast Computation of Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances", International Conference on Applied Statistics and Data Analytics, April 2022.BibTeX TR2022-041 PDF
- @inproceedings{Zhang2022apr3,
- author = {Zhang, Jing and Nikovski, Daniel N.},
- title = {Algorithms for Fast Computation of Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances},
- booktitle = {International Conference on Applied Statistics and Data Analytics},
- year = 2022,
- month = apr,
- url = {https://www.merl.com/publications/TR2022-041}
- }
- , "Algorithms for Fast Computation of Matrix Profiles of Time Series Under Unnormalized Euclidean Distances", International Conference on Applied Statistics and Data Analytics, April 2022.BibTeX TR2022-040 PDF
- @inproceedings{Zhang2022apr2,
- author = {Zhang, Jing and Nikovski, Daniel N.},
- title = {Algorithms for Fast Computation of Matrix Profiles of Time Series Under Unnormalized Euclidean Distances},
- booktitle = {International Conference on Applied Statistics and Data Analytics},
- year = 2022,
- month = apr,
- url = {https://www.merl.com/publications/TR2022-040}
- }
- , "Dynamic Thermal Comfort Optimization for Groups", American Control Conference (ACC), DOI: 10.23919/ACC50511.2021.9483191, May 2021.BibTeX TR2021-057 PDF
- @inproceedings{Laftchiev2021may,
- author = {Laftchiev, Emil and Romeres, Diego and Nikovski, Daniel N.},
- title = {Dynamic Thermal Comfort Optimization for Groups},
- booktitle = {American Control Conference (ACC)},
- year = 2021,
- month = may,
- publisher = {IEEE},
- doi = {10.23919/ACC50511.2021.9483191},
- issn = {2378-5861},
- isbn = {978-1-6654-4197-1},
- url = {https://www.merl.com/publications/TR2021-057}
- }
- , "ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements", IEEE PES General Meeting, July 2022.
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Videos
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Software Downloads
