- Date: February 15, 2018
Brief - University faculty members are invited to spend part or all of their sabbaticals at MERL, pursuing projects of their own choosing in collaboration with MERL researchers.
To apply, a candidate should identify and contact one or more MERL researchers with whom they would like to collaborate. The applicant and a MERL researcher will jointly prepare a proposal that the researcher will champion internally. Please visit the visiting faculty web page for further details: http://www.merl.com/employment/visiting-faculty.php.
The application deadline for positions starting in Summer/Fall 2018 is February 15, 2018.
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- Date: October 4, 2017 - October 6, 2017
Where: Orange County Convention Center, Orlando, FL
MERL Contacts: Elizabeth Phillips; Jinyun Zhang Brief - Every year, women technologists and the best minds in computing convene to highlight the contributions of women to computing. The Anita Borg Institute co-presents GHC with the Association of Computing Machinery (ACM).
The conference results in collaborative proposals, networking and mentoring for our attendees. Conference presenters are leaders in their respective fields, representing industry, academia and government.
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- Date: August 4, 2017
Awarded to: David Zhuzhunashvili and Andrew Knyazev
Research Area: Machine Learning
Brief - David Zhuzhunashvili, an undergraduate student at UC Boulder, Colorado, and Andrew Knyazev, Distinguished Research Scientist at MERL, received the 2017 Graph Challenge Student Innovation Award. Their poster "Preconditioned Spectral Clustering for Stochastic Block Partition Streaming Graph Challenge" was accepted to the 2017 IEEE High Performance Extreme Computing Conference (HPEC '17), taking place 12-14 September 2017 (http://www.ieee-hpec.org/), and the paper was accepted to the IEEE Xplore HPEC proceedings.
HPEC is the premier conference in the world on the convergence of High Performance and Embedded Computing. DARPA/Amazon/IEEE Graph Challenge is a special HPEC event. Graph Challenge encourages community approaches to developing new solutions for analyzing graphs derived from social media, sensor feeds, and scientific data to enable relationships between events to be discovered as they unfold in the field. The 2017 Streaming Graph Challenge is Stochastic Block Partition. This challenge seeks to identify optimal blocks (or clusters) in a larger graph with known ground-truth clusters, while performance is evaluated compared to baseline Python and C codes, provided by the Graph Challenge organizers.
The proposed approach is spectral clustering that performs block partition of graphs using eigenvectors of a matrix representing the graph. Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) method iteratively approximates a few leading eigenvectors of the symmetric graph Laplacian for multi-way graph partitioning. Preliminary tests for all static cases for the Graph Challenge demonstrate 100% correctness of partition using any of the IEEE HPEC Graph Challenge metrics, while at the same time also being approximately 500-1000 times faster compared to the provided baseline code, e.g., 2M static graph is 100% correctly partitioned in ~2,100 sec. Warm-starts of LOBPCG further cut the execution time 2-3x for the streaming graphs.
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- Date: May 24, 2017 - May 26, 2017
MERL Contacts: Mouhacine Benosman; Stefano Di Cairano; Abraham Goldsmith; Uroš Kalabić; Saleh Nabi; Daniel Nikovski; Arvind Raghunathan; Yebin Wang
Research Areas: Control, Dynamical Systems, Machine Learning
Brief - Talks were presented by members of several groups at MERL and covered a wide range of topics:
- Similarity-Based Vehicle-Motion Prediction
- Transfer Operator Based Approach for Optimal Stabilization of Stochastic Systems
- Extended command governors for constraint enforcement in dual stage processing machines
- Cooperative Optimal Output Regulation of Multi-Agent Systems Using Adaptive Dynamic Programming
- Deep Reinforcement Learning for Partial Differential Equation Control
- Indirect Adaptive MPC for Output Tracking of Uncertain Linear Polytopic Systems
- Constraint Satisfaction for Switched Linear Systems with Restricted Dwell-Time
- Path Planning and Integrated Collision Avoidance for Autonomous Vehicles
- Least Squares Dynamics in Newton-Krylov Model Predictive Control
- A Neuro-Adaptive Architecture for Extremum Seeking Control Using Hybrid Learning Dynamics
- Robust POD Model Stabilization for the 3D Boussinesq Equations Based on Lyapunov Theory and Extremum Seeking.
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- Date: July 6, 2016 - July 8, 2016
Where: American Control Conference (ACC)
MERL Contacts: Mouhacine Benosman; Karl Berntorp; Scott Bortoff; Petros Boufounos; Stefano Di Cairano; Abraham Goldsmith; Uroš Kalabić; Christopher Laughman; Daniel Nikovski; Arvind Raghunathan; Yebin Wang; Avishai Weiss
Research Areas: Control, Dynamical Systems, Machine Learning
Brief - The premier American Control Conference (ACC) takes place in Boston July 6-8. This year MERL researchers will present a record 20 papers(!) at ACC, with several contributions, especially in autonomous vehicle path planning and in Model Predictive Control (MPC) theory and applications, including manufacturing machines, electric motors, satellite station keeping, and HVAC. Other important themes developed in MERL's presentations concern adaptation, learning, and optimization in control systems.
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- Date: March 31, 2016
Awarded to: Andrew Knyazev
Research Areas: Control, Optimization, Dynamical Systems, Machine Learning, Data Analytics, Communications, Signal Processing
Brief - Andrew Knyazev selected as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) for contributions to computational mathematics and development of numerical methods for eigenvalue problems.
Fellowship honors SIAM members who have made outstanding contributions to the fields served by the SIAM. Andrew Knyazev was among a distinguished group of members nominated by peers and selected for the 2016 Class of Fellows.
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- Date: November 11, 2015 - November 12, 2015
Where: University of Connecticut
MERL Contacts: Christopher Laughman; Scott Bortoff; Hongtao Qiao
Research Area: Data Analytics
Brief - MERL Researchers Scott A. Bortoff, Chris Laughman and Hongtao Qiao attended the North America Modelica User's Group Meeting, hosted by the University of Connecticut, November 11-12, 2015. Scott Bortoff gave the Keynote Address entitled "Using Modelica in Industrial Research and Development," and Chris Laughman and Hongtao Qiao each presented a paper on modelling of HVAC systems. The Meeting attracted approximately 80 Modelica users from a diverse set of companies and universities including United Technologies, Johnson Controls and Ford. Use of Modelica is accelerating in North America, lead by largely by automotive and similar "systems manufacturing" type companies.
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- Date: September 21, 2015
MERL Contacts: Scott Bortoff; Christopher Laughman Brief - MERL researchers Scott Bortoff, Dan Burns and Chris Laughman attended the 11th Annual Modelica Conference in Versailles, France. Modelica is a computer language for modelling and simulation of multiphysical systems. There were 421 attendees, with representatives from Toyota, automobile companies, European universities and companies like Dassault. Conference topics included a plenary on cyber-physical systems modelling by Prof. Sangiovanni Vincentelli of UC Berkeley, new libraries for modelling HVAC systems, automobile systems and buildings, and research results for new solvers. An important trend is virtual modelling and simulation of building thermodynamics (scaling up to city districts), automotive systems (autonomous vehicles), and especially Factory Automation: Dassault is investing heavily in this area, focusing on smaller customers, with tools for 3D virtual modelling of assembly lines including machine dynamics (robotics), and in partnerships with Siemens and other European FA companies.
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- Date: July 3, 2015
MERL Contacts: Daniel Nikovski; Yebin Wang; Uroš Kalabić; Stefano Di Cairano; Arvind Raghunathan; Avishai Weiss Brief - MERL researchers presented 10 papers at the American Controls Conference, in Chicago, USA. The ACC is one of the most important conferences on control systems in the world. Topics ranged from theoretical, including new algorithms for Model Predictive Control and Co-Design, to applications including spacecraft control and HVAC systems.
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- Date: June 25, 2015
MERL Contact: William Yerazunis
Research Area: Data Analytics
Brief - The CRM114 Discriminator, an open-source spam filter / text classifier created by William Yerazunis in MERL's Data Analytics group, continues to turn up in interesting places - and apparently one of them is in the US Department of Transportation's process for analysis of car safety defect reports.
Although CRM114 is usually used as a spam filter, CRM114 has been used to analyze resumes for jobseekers, scanning outgoing emails to detect accidental confidential information leaks, perusing blogs for relevance, scanning syslog files for interesting events, and now, apparently, searching complaints sent to NHTSA to find safety-related vehicle malfunctions.
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- Date: February 13, 2014
MERL Contacts: Hongbo Sun; Daniel Nikovski
Research Area: Data Analytics
Brief - Mitsubishi Electric Corporation announced that it has developed energy loss-reduction technology that uses algorithms for fast analysis of three-phase electricity developed by MERL to establish optimal coordination of power-distribution grids for reductions in energy loss and power-generation costs. The technology was achieved under Mitsubishi Electric's Smart Grid Demonstration Project.
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- Date: February 10, 2014
MERL Contacts: Bret Harsham; Jonathan Le Roux; Daniel Nikovski; Anthony Vetro Brief - Mitsubishi Electric Corporation demonstrated an ultra-simple HMI for in-car device operation using algorithms developed by MERL to predict user actions and destinations.
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- Date: July 19, 2013
Where: International Conference on Machine Learning and Data Mining in Pattern Recognion (MLDM)
MERL Contacts: Hongbo Sun; Daniel Nikovski
Research Area: Data Analytics
Brief - The paper "Smart Meter Data Analysis for Power Theft Detection" by Nikovski, D., Wang, Z., Esenther, A., Sun, H., Sugiura, K., Muso, T. and Tsuru, K. was presented at the International Conference on Machine Learning and Data Mining in Pattern Recognion (MLDM).
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- Date: June 17, 2013
Where: American Control Conference (ACC)
MERL Contacts: Scott Bortoff; Stefano Di Cairano; Yebin Wang; Arvind Raghunathan Brief - The papers "Sub-optimal Control Design of a Semi-active Vibration Reduction System" by Wang, Y. and Utsunomiya, K., "Adaptive Estimation of State of Charge for Lithium-ion Batteries" by Fang, H., Wang, Y., Sahinoglu, Z., Wanda, T. and Hara, S., "Vehicle Yaw Dynamics Control by Torque-based Assist Systems Enforcing Driver's Steering Feel Constraints" by Zafeiropoulos, S. and Di Cairano, S., "Speed Profile Optimization for Optimal Path Tracking" by Zhao, Y. and Tsiotras, P., "Real-Time Energy-Optimal Trajeactory Generatin for a Servo Motor" by Zhao, Y., Wang, Y., Bortoff, S.A. and Ueda, K., "Global Optimization of Multi-period Optimal Power Flow" by Gopalakrishnan, A., Raghunathan, A.U., Nikovski, D., Biegler, L.T. and "Semismooth Equation Approach to Network Utility Maximization (NUM)" by Bai, L. and Raghunathan, A.U. were presented at the American Control Conference (ACC).
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- Date: June 16, 2013
Where: REHVA World Congress (CLIMA)
MERL Contact: Daniel Nikovski
Research Area: Control
Brief - The paper "A Method for Computing Optimal Set-Point Schedule for HVAC Systems" by Nikovski, D., Xu, J. and Nonaka, M. was presented at the REHVA World Congress (CLIMA).
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- Date: June 10, 2013
Where: International Conference on Automated Planning and Scheduling (ICAPS)
MERL Contact: Daniel Nikovski
Research Area: Optimization
Brief - The paper "Operational Planning of Thermal Generators with Factored Markov Decision Process Models" by Nikovski, D. was presented at the International Conference on Automated Planning and Scheduling (ICAPS).
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- Date: May 15, 2013
Where: IEEE Wireless Power Transfer Conference (WPTC)
MERL Contacts: Bingnan Wang; William Yerazunis; Koon Hoo Teo
Research Areas: Applied Physics, Electric Systems
Brief - The paper "Wireless Power Transfer with Artificial Magnetic Conductors" by Wu, J., Wang, B., Yerazunis, W.S. and Teo, K.H. was presented at the IEEE Wireless Power Transfer Conference (WPTC).
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- Date: May 15, 2013
Where: Proceedings of IEEE
MERL Contacts: Bingnan Wang; William Yerazunis; Koon Hoo Teo Brief - The article "Wireless Power Transfer: Metamaterials and Array of Coupled Resonators" by Wang, B., Yerazunis, W. and Teo, K.H. was published in Proceedings of IEEE.
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- Date: March 25, 2013
Where: National Convention of the Information Processing Society of Japan (IPSJ)
MERL Contacts: Hongbo Sun; Daniel Nikovski
Research Area: Data Analytics
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- Date: March 14, 2013
Where: Proceedings of the IEEE
MERL Contacts: Bingnan Wang; William Yerazunis; Koon Hoo Teo
Research Areas: Applied Physics, Electric Systems
Brief - The article "Wireless Power Transfer: Metamaterials and Array of Coupled Resonators" by Wang, B., Yerazunis, W. and Teo, K.H. was published in Proceedings of the IEEE.
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- Date: January 18, 2013
Where: Symposium of the Society of Instrumentation and Control Engineers of Japan (SICE)
MERL Contact: Daniel Nikovski
Research Area: Data Analytics
Brief - The paper "Fast Runcurve Optimization based on Markov Decision Process" by Fujii, S., Yoshimoto, K., Ueda, K., Takahashi, S. and Nikovski, D. was presented at the Symposium of the Society of Instrumentation and Control Engineers of Japan (SICE).
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- Date: October 30, 2012
Where: IEEE International Conference on Power System Technology (POWERCON)
MERL Contacts: Hongbo Sun; Daniel Nikovski
Research Area: Data Analytics
Brief - The paper "Decoupled Three-Phase Load Flow Method for Unbalanced Distribution Systems" by Sun, H., Dubey, A., Nikovski, D., Ohno, T., Takano, T. and Kojima, Y. was presented at the IEEE International Conference on Power System Technology (POWERCON).
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- Date: October 29, 2012
Where: IEEE International Symposium on Antennas and Propagation (ISAP)
MERL Contacts: Bingnan Wang; William Yerazunis; Koon Hoo Teo
Research Area: Electric Systems
Brief - The paper "Power Delivery Optimization for a Mobile Power Transfer System based on Resonator Arrays" by Yerazunis, W., Wang, B. and Teo, K.H. was presented at the IEEE International Symposium on Antennas and Propagation (ISAP).
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- Date: October 17, 2012
Where: ASME Dynamic Systems and Control Conference
Research Area: Data Analytics
Brief - The paper "Decentralized Finite-Time Stabilizing Feedback Network Control" by Zhao, Y. was presented at the ASME Dynamic Systems and Control Conference.
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- Date: October 16, 2012
Where: Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS)
MERL Contact: Daniel Nikovski
Research Area: Data Analytics
Brief - The paper "Markov Decision Processes for Train Run Curve Optimization" by Nikovski, D., Lidicky, B., Zhang, W., Kataoka, K. and Yoshimoto, K. was presented at Electrical Systems for Aircraft, Railway and Ship Propulsion (ESARS).
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