Daniel N. Nikovski
- Phone: 617-621-7510
- Email:
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Position:
Research / Technical Staff
Chief Scientist -
Education:
Ph.D., Carnegie Mellon University, 2002 -
Research Areas:
External Links:
Daniel's Quick Links
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Biography
Dan's research is focused on algorithms for reasoning, planning, and learning with probabilistic models. His current work is on the application of such algorithms to hard transportation problems such as group elevator control and traffic prediction. He also has varied interests in the field of data mining.
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Recent News & Events
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NEWS MERL Researchers Present Thirteen Papers at the 2023 IEEE International Conference on Robotics and Automation (ICRA) Date: May 29, 2023 - June 2, 2023
Where: 2023 IEEE International Conference on Robotics and Automation (ICRA)
MERL Contacts: Anoop Cherian; Radu Corcodel; Siddarth Jain; Devesh K. Jha; Toshiaki Koike-Akino; Tim K. Marks; Daniel N. Nikovski; Arvind Raghunathan; Diego Romeres
Research Areas: Computer Vision, Machine Learning, Optimization, RoboticsBrief- MERL researchers will present thirteen papers, including eight main conference papers and five workshop papers, at the 2023 IEEE International Conference on Robotics and Automation (ICRA) to be held in London, UK from May 29 to June 2. ICRA is one of the largest and most prestigious conferences in the robotics community. The papers cover a broad set of topics in Robotics including estimation, manipulation, vision-based object recognition and segmentation, tactile estimation and tool manipulation, robotic food handling, robot skill learning, and model-based reinforcement learning.
In addition to the paper presentations, MERL robotics researchers will also host an exhibition booth and look forward to discussing our research with visitors.
- MERL researchers will present thirteen papers, including eight main conference papers and five workshop papers, at the 2023 IEEE International Conference on Robotics and Automation (ICRA) to be held in London, UK from May 29 to June 2. ICRA is one of the largest and most prestigious conferences in the robotics community. The papers cover a broad set of topics in Robotics including estimation, manipulation, vision-based object recognition and segmentation, tactile estimation and tool manipulation, robotic food handling, robot skill learning, and model-based reinforcement learning.
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TALK [MERL Seminar Series 2023] Prof. Stefanie Tellex presents talk titled Towards Complex Language in Partially Observed Environments Date & Time: Tuesday, February 14, 2023; 12:00 PM
Speaker: Stefanie Tellex, Brown University
MERL Host: Daniel N. Nikovski
Research Area: RoboticsAbstract- Robots can act as a force multiplier for people, whether a robot assisting an astronaut with a repair on the International Space station, a UAV taking flight over our cities, or an autonomous vehicle driving through our streets. Existing approaches use action-based representations that do not capture the goal-based meaning of a language expression and do not generalize to partially observed environments. The aim of my research program is to create autonomous robots that can understand complex goal-based commands and execute those commands in partially observed, dynamic environments. I will describe demonstrations of object-search in a POMDP setting with information about object locations provided by language, and mapping between English and Linear Temporal Logic, enabling a robot to understand complex natural language commands in city-scale environments. These advances represent steps towards robots that interpret complex natural language commands in partially observed environments using a decision theoretic framework.
See All News & Events for Daniel -
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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 Daniel Nikovski receives Outstanding Reviewer Award at NeurIPS'21 Date: October 18, 2021
Awarded to: Daniel Nikovski
MERL Contact: Daniel N. Nikovski
Research Areas: Artificial Intelligence, Machine LearningBrief- Daniel Nikovski, Group Manager of MERL's Data Analytics group, has received an Outstanding Reviewer Award from the 2021 conference on Neural Information Processing Systems (NeurIPS'21). NeurIPS is the world's premier conference on neural networks and related technologies.
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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: 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 Best Student Paper Award at the International Conference on Data Mining Date: November 30, 2017
Awarded to: Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn Keogh
MERL Contact: Daniel N. 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 SICE 2008 Best Paper Award Date: July 1, 2008
Awarded to: Nishiuma, N.; Goto, Y.; Kumazawa, H.; Komaya K.; Nikovski, D. and Brand, M.
Awarded for: "Travel Time Prediction using Singular Value Decomposition"
Awarded by: Journal of the Society of Instrument and Control Engineers of Japan
MERL Contact: Daniel N. Nikovski
Research Area: Data Analytics
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Internships with Daniel
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OR0088: Internship - Robot Learning
MERL is looking for a highly motivated and qualified PhD student in the areas of machine learning and robotics, to participate in research on advanced algorithms for learning control of robots and other mechanisms. Solid background and hands-on experience with various machine learning algorithms is expected, and in particular with deep learning algorithms for image processing and object detection. Exposure to deep reinforcement learning and/or learning from demonstration is highly desirable. Familiarity with the use of machine learning algorithms for system identification of mechanical systems would be a plus, along with background in other areas of automatic control. Solid experimental skills and hands-on experience in coding in Python, PyTorch, and OpenCV are required for the position. Some experience with ROS2 and familiarity with classical mechanics and computational physics engines would be helpful, but is not required. The position will provide opportunities for exploring fundamental problems in incremental learning in humans and machines, leading to publishable results. The duration of the internship is 3 to 5 months, with a flexible starting date.
Required Specific Experience
- Python, PyTorch, OpenCV
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MERL Publications
- "Memory-Based Learning of Global Control Policies from Local Controllers", 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO'24), November 2024.BibTeX TR2024-158 PDF
- @inproceedings{Nikovski2024nov,
- author = {{Nikovski, Daniel N. and Zhong, Junmin and Yerazunis, William S.}},
- title = {Memory-Based Learning of Global Control Policies from Local Controllers},
- booktitle = {21st International Conference on Informatics in Control, Automation and Robotics (ICINCO'24)},
- year = 2024,
- month = nov,
- url = {https://www.merl.com/publications/TR2024-158}
- }
, - "Memory-Based Global Iterative Linear Quadratic Control", International Conference on Control, Decision and Information Technologies (CoDIT), July 2024.BibTeX TR2024-089 PDF
- @inproceedings{Nikovski2024jul2,
- author = {{Nikovski, Daniel and Zhong, Junmin and Yerazunis, William S.}},
- title = {Memory-Based Global Iterative Linear Quadratic Control},
- booktitle = {International Conference on Control, Decision and Information Technologies (CoDIT)},
- year = 2024,
- month = jul,
- url = {https://www.merl.com/publications/TR2024-089}
- }
, - "Adaptive Velocity Estimators for Learning Control", International Conference on Control, Decision and Information Technologies (CoDIT), July 2024.BibTeX TR2024-088 PDF
- @inproceedings{Nikovski2024jul,
- author = {{Nikovski, Daniel and Yerazunis, William S.}},
- title = {Adaptive Velocity Estimators for Learning Control},
- booktitle = {International Conference on Control, Decision and Information Technologies (CoDIT)},
- year = 2024,
- month = jul,
- url = {https://www.merl.com/publications/TR2024-088}
- }
, - "Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays", International Conference on Machine Learning and Applications (ICMLA), DOI: 10.1109/ICMLA58977.2023.00024, December 2023, pp. 112-119.BibTeX TR2023-151 PDF
- @inproceedings{Kong2023dec,
- author = {{Kong, Chuizheng and Yerazunis, William S. and Nikovski, Daniel}},
- title = {Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays},
- booktitle = {International Conference on Machine Learning and Applications (ICMLA)},
- year = 2023,
- pages = {112--119},
- month = dec,
- doi = {10.1109/ICMLA58977.2023.00024},
- url = {https://www.merl.com/publications/TR2023-151}
- }
, - "A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events", IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), DOI: 10.1109/ISGTEUROPE56780.2023.10408310, October 2023.BibTeX TR2023-133 PDF
- @inproceedings{Zhou2023oct,
- author = {Zhou, Anping and Sun, Hongbo and Kitamura, Shoichi and Nikovski, Daniel},
- title = {A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events},
- booktitle = {IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)},
- year = 2023,
- month = oct,
- doi = {10.1109/ISGTEUROPE56780.2023.10408310},
- url = {https://www.merl.com/publications/TR2023-133}
- }
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- "Memory-Based Learning of Global Control Policies from Local Controllers", 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO'24), November 2024.
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Software & Data Downloads
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Videos
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MERL Issued Patents
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Title: "System and a Method for Training a Neural Network Having Autoencoder Architecture to Recover Missing Data"
Inventors: Laftchiev, Emil; Yan, Qing; Nikovski, Daniel N.
Patent No.: 11,698,946
Issue Date: Jul 11, 2023 -
Title: "System and Method for Robotic Assembly Based on Adaptive Compliance"
Inventors: Nikovski, Daniel N.; Romeres, Diego; Jha, Devesh; Yerazunis, William S.
Patent No.: 11,673,264
Issue Date: Jun 13, 2023 -
Title: "System Control Based on Time-Series Data Analysis"
Inventors: Zhang, Jing; Nikovski, Daniel N.
Patent No.: 11,599,104
Issue Date: Mar 7, 2023 -
Title: "Method and system for touchless elevator control"
Inventors: Nikovski, Daniel N.; Yerazunis, William S.
Patent No.: 11,518,646
Issue Date: Dec 6, 2022 -
Title: "System and Design of Derivative-free Model Learning for Robotic Systems"
Inventors: Romeres, Diego; Libera, Alberto Dalla; Jha, Devesh; Nikovski, Daniel Nikolaev
Patent No.: 11,389,957
Issue Date: Jul 19, 2022 -
Title: "System and Method for Anomaly Detection in Time-Varying System Operations"
Inventors: Zhang, Jing; Nikovski, Daniel N.
Patent No.: 11,353,859
Issue Date: Jun 7, 2022 -
Title: "System and Method for Thermal Control Based on Invertible Causation Relationship"
Inventors: Laftchiev, Emil; Nikovski, Daniel N.; Romeres, Diego
Patent No.: 11,280,514
Issue Date: Mar 22, 2022 -
Title: "System and Method for Automatic Error Recovery in Robotic Assembly"
Inventors: Nikovski, Daniel Nikolaev; Jha, Devesh; Romeres, Diego
Patent No.: 11,161,244
Issue Date: Nov 2, 2021 -
Title: "Predictive Classification of Future Operations"
Inventors: Jha, Devesh; Zhang, Wenyu; Laftchiev, Emil; Nikovski, Daniel N.
Patent No.: 10,996,664
Issue Date: May 4, 2021 -
Title: "METHODS AND SYSTEMS TO PREDICT A STATE OF THE MACHINE USING TIME SERIES DATA OF THE MACHINE"
Inventors: Farahmand, Amir-massoud; Nikovski, Daniel N.
Patent No.: 10,729,382
Issue Date: Aug 4, 2020 -
Title: "Methods and Systems for Discovery of Prognostic Subsequences in Time Series"
Inventors: Nikovski, Daniel N.; Zhu, Yan; Farahmand, Amir-massoud
Patent No.: 10,712,733
Issue Date: Jul 14, 2020 -
Title: "Optimizing Operations of Multiple Air-Conditioning Units"
Inventors: Raghunathan, Arvind U; Nikovski, Daniel N.
Patent No.: 10,161,649
Issue Date: Dec 25, 2018 -
Title: "System and Method for Group Elevator Scheduling Based on Submodular Optimization"
Inventors: Nikovski, Daniel N.; Raghunathan, Arvind U; Ramalingam, Srikumar
Patent No.: 10,118,796
Issue Date: Nov 6, 2018 -
Title: "Method for Anomaly Detection in Time Series Data Based on Spectral Partitioning"
Inventors: Nikovski, Daniel N.; Kniazev, Andrei; Jones, Michael J.
Patent No.: 9,984,334
Issue Date: May 29, 2018 -
Title: "Model Predictive Control with Uncertainties"
Inventors: Nikovski, Daniel N.; Di Cairano, Stefano; Zhao, Yiming
Patent No.: 9,946,241
Issue Date: Apr 17, 2018 -
Title: "Method for Detecting Power Theft in a Power Distribution System"
Inventors: Nikovski, Daniel N.; Wang, Zhenhua
Patent No.: 9,945,889
Issue Date: Apr 17, 2018 -
Title: "Method and System for Scheduling Elevator Cars in a Group Elevator System with Uncertain Information about Arrivals of Future Passengers"
Inventors: Nikovski, Daniel N.
Patent No.: 9,834,405
Issue Date: Dec 5, 2017 -
Title: "Method for Learning Exemplars for Anomaly Detection"
Inventors: Jones, Michael J.; Nikovski, Daniel N.
Patent No.: 9,779,361
Issue Date: Oct 3, 2017 -
Title: "Method and System for Selecting Power Sources in Hybrid Electric Vehicles"
Inventors: Nikovski, Daniel N.; Farahmand, Amir-massoud
Patent No.: 9,637,111
Issue Date: May 2, 2017 -
Title: "Actions Prediction for Hypothetical Driving Conditions"
Inventors: Harsham, Bret A.; Hershey, John R.; Le Roux, Jonathan; Nikovski, Daniel N.; Esenther, Alan W.
Patent No.: 9,434,389
Issue Date: Sep 6, 2016 -
Title: "Method and System for Autonomously Delivering Information to Drivers"
Inventors: Nikovski, Daniel N.; Harsham, Bret A.; Hershey, John R.; Brinkman, Dirk
Patent No.: 9,305,306
Issue Date: Apr 5, 2016 -
Title: "System and Method for Optimal Power Flow Analysis"
Inventors: Raghunathan, Arvind U; Nikovski, Daniel N.; Gopalakrishnan, Ajit
Patent No.: 9,280,744
Issue Date: Mar 8, 2016 -
Title: "Method for Optimizing Power Flows in Electric Power Networks"
Inventors: Raghunathan, Arvind U; Gopalakrishnan, Ajit; Nikovski, Daniel N.
Patent No.: 9,184,589
Issue Date: Nov 10, 2015 -
Title: "Method and System for Dynamically Adapting user Interfaces in Vehicle Navigation Systems to Minimize Interaction Complexity"
Inventors: Nikovski, Daniel N.; Hershey, John R.; Harsham, Bret A.; Le Roux, Jonathan
Patent No.: 9,170,119
Issue Date: Oct 27, 2015 -
Title: "Method for Predicting Future Travel Time Using Geospatial Inference"
Inventors: Jones, Michael J.; Nikovski, Daniel N.; Geng, Yanfeng
Patent No.: 9,122,987
Issue Date: Sep 1, 2015 -
Title: "Method for Globally Optimizing Power Flows in Electric Networks"
Inventors: Raghunathan, Arvind U.; Nikovski, Daniel N.
Patent No.: 9,093,842
Issue Date: Jul 28, 2015 -
Title: "Method for Detecting Anomalies in Multivariate Time Series Data"
Inventors: Nikovski, Daniel N.; Jones, Michael J.
Patent No.: 9,075,713
Issue Date: Jul 7, 2015 -
Title: "Method for Scheduling Power Generators Based on Optimal Configurations and Approximate Dynamic Programming"
Inventors: Nikovski, Daniel N.; Zhang, Weihong
Patent No.: 8,996,185
Issue Date: Mar 31, 2015 -
Title: "Method for Operating Building Climate Control System Using Integrated Temperature and Humidity Models"
Inventors: Xu, Jingyang; Nikovski, Daniel N.
Patent No.: 8,958,921
Issue Date: Feb 17, 2015 -
Title: "Method for Predicting Outputs of Photovoltaic Devices Based on Two-Dimensional Fourier Analysis and Seasonal Auto-Regression"
Inventors: Zhang, Weihong; Nikovski, Daniel N.
Patent No.: 8,942,959
Issue Date: Jan 27, 2015 -
Title: "Method for Optimizing Run Curve of Vehicles"
Inventors: Nikovski, Daniel N.; Lidicky, Bernard
Patent No.: 8,938,348
Issue Date: Jan 20, 2015 -
Title: "Method for Determining Run-Curves for Vehicles Based on Travel Time"
Inventors: Xu, Jingyang; Nikovski, Daniel N.
Patent No.: 8,838,304
Issue Date: Sep 16, 2014 -
Title: "Controlling Operation of Vapor Compression System"
Inventors: Nikovski, Daniel N.; Laughman, Christopher; Burns, Dan J.
Patent No.: 8,793,003
Issue Date: Jul 29, 2014 -
Title: "Method for Predicting Travel Times Using Autoregressive Models"
Inventors: Nikovski, Daniel N.
Patent No.: 8,762,036
Issue Date: Jun 24, 2014 -
Title: "Method for Determining Run-Curves for Vehicles in Real-Time Subject to Dynamic Travel Time and Speed Limit Constraint"
Inventors: Xu, Jingyang; Nikovski, Daniel N.
Patent No.: 8,660,723
Issue Date: Feb 25, 2014 -
Title: "Method for Matching Elements in Schemas of Databases Using a Bayesian Network"
Inventors: Nikovski, Daniel N.
Patent No.: 8,577,857
Issue Date: Nov 5, 2013 -
Title: "Method for Scheduling the Operation of Power Generators using Factored Markov Decision Process"
Inventors: Nikovski, Daniel N.
Patent No.: 8,566,266
Issue Date: Oct 22, 2013 -
Title: "A Method for Converting Dynamical Systems with Continuous State Spaces into Markov Decision Processes with Discrete States"
Inventors: Nikovski, Daniel N.
Patent No.: 8,412,649
Issue Date: Apr 2, 2013 -
Title: "HVAC Control System"
Inventors: Forlines, Clifton L.; Nikovski, Daniel N.
Patent No.: 8,412,381
Issue Date: Apr 2, 2013 -
Title: "A Method for Predicting Time Series with Seasonal Components"
Inventors: Nikovski, Daniel N.
Patent No.: 8,315,961
Issue Date: Nov 20, 2012 -
Title: "Method and System for Classifying Data in System with Limited Memory"
Inventors: Jain, Ankur; Nikovski, Daniel N.
Patent No.: 8,108,325
Issue Date: Jan 31, 2012 -
Title: "Method and System for Determining Instantaneous Peak Power Consumption in Elevator Banks"
Inventors: Brand, Matthew E.; Nikovski, Daniel N.
Patent No.: 7,743,890
Issue Date: Jun 29, 2010 -
Title: "Method and Apparatus for Representing and Classifying Microwave Back-Projection Radar Signals"
Inventors: Nikovski, Daniel N.; Jain, Ankur
Patent No.: 7,671,786
Issue Date: Mar 2, 2010 -
Title: "Method and System for Detecting Changes in Sensor Sample Streams"
Inventors: Jain, Ankur; Nikovski, Daniel N.
Patent No.: 7,555,399
Issue Date: Jun 30, 2009 -
Title: "System and Method for Scheduling Elevator Cars Using Pairwise Delay Minimization"
Inventors: Nikovski, Daniel N.; Brand, Matthew E.; Ebner, Dietmar
Patent No.: 7,546,905
Issue Date: Jun 16, 2009 -
Title: "System and Method for Scheduling Elevator Cars Using Branch-and-Bound"
Inventors: Brand, Matthew E.; Nikovski, Daniel N.; Ebner, Dietmar
Patent No.: 7,484,597
Issue Date: Feb 3, 2009 -
Title: "Detecting and Diagnosing Faults in HVAC Equipment"
Inventors: Peker, Kadir A.; Nikovski, Daniel N.; Radhakrishnan, Regunathan; Divakaran, Ajay
Patent No.: 7,444,251
Issue Date: Oct 28, 2008 -
Title: "Real-Time Retail Marketing System and Method"
Inventors: Kato, Mamoru; Nikovski, Daniel N.; Divakaran, Ajay
Patent No.: 7,240,834
Issue Date: Jul 10, 2007 -
Title: "Method and System for Scheduling Cars in Elevator Systems Considering Existing and Future Passengers"
Inventors: Brand, Matthew E.; Nikovski, Daniel N.
Patent No.: 7,014,015
Issue Date: Mar 21, 2006 -
Title: "Optimal Parking of Free Cars in Elevator Group Control"
Inventors: Brand, Matthew E.; Nikovski, Daniel N.
Patent No.: 6,808,049
Issue Date: Oct 26, 2004 -
Title: "Method and System for Dynamic Programming of Elevators for Optimal Group Elevator Control"
Inventors: Brand, Matthew E.; Nikovski, Daniel N.
Patent No.: 6,672,431
Issue Date: Jan 6, 2004
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Title: "System and a Method for Training a Neural Network Having Autoencoder Architecture to Recover Missing Data"