News & Events

30 were found.




  •  NEWS   MERL presenting 9 papers at ICASSP 2018
    Date: April 15, 2018 - April 20, 2018
    Where: Calgary, AB
    MERL Contacts: Petros Boufounos; Takaaki Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Philip Orlik; Pu (Perry) Wang
    Research Areas: Wireless Communications & Signal Processing, Speech & Audio, Computational Sensing, Digital Video, Multimedia
    Brief
    • MERL researchers are presenting 9 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Calgary from April 15-20, 2018. Topics to be presented include recent advances in speech recognition, audio processing, and computational sensing. MERL is also a sponsor of the conference.

      ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
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  •  NEWS   Andrew Knyazev (MERL) presents at WPI SIAM Industry Speaker Series about his career path
    Date: April 19, 2018
    Where: Room 202 Stratton Hall Worcester Polytechnic Institute
    MERL Contacts: Joseph Katz; Andrew Knyazev
    Research Areas: Algorithms, Advanced Control Systems, Computational Photography, Computational Sensing, Decision Optimization, Digital Video, Machine Learning, Optical Communications & Devices, Predictive Modeling, Wireless Communications & Signal Processing
    Brief
    • Andrew Knyazev, Distinguished Research Scientist of MERL, has accepted an invitation to speak at the Worcester Polytechnic Institute (WPI) chapter of the Society for Industrial and Applied Mathematics (SIAM) located in Worcester, MA, at a series of industry speakers about different career paths for applied mathematicians.

      Andrew Knyazev studied at the Department of Computational Mathematics and Cybernetics of the Moscow State University in 1976-1981. He obtained PhD Degree in Numerical Mathematics at the Russian Academy of Sciences (RAS) in 1985. Knyazev worked at the Kurchatov Institute in 1981-1983 and at the Institute of Numerical Mathematics RAS in 1983-1992, where he collaborated with Academician Bakhvalov (Erdos number 3 via Kantorovich) on numerical methods for homogenization. In 1993-1994, Knyazev held a visiting position at the Courant Institute of Mathematical Sciences of New York University. From 1994 and until retirement in 2014, he was a Professor of Mathematics at the University of Colorado Denver (CU Denver), supported by many grants from the National Science Foundation and the United States Department of Energy. He was awarded the title of CU Denver Professor Emeritus and named the SIAM Fellow in 2016. During his 30 years in the academy, Knyazev supervised 7 PhD students. He is best known for his Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) eigenvalue solver. In 2012, Knyazev starts his industrial research career joining Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA, where he invents and develops algorithms for control, machine learning, data sciences, computer vision, coding, communications, material sciences, and signal processing, having 11 US patent applications filed (6 issued, 5 pending) and over 20 papers published.
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  •  EVENT   MERL's Petros Boufounos is co-organizing symposium on The Future Of Signal Processing
    Date & Time: Monday, October 23, 2017; 8:00am-4:00pm
    MERL Contact: Petros Boufounos
    Location: MIT Samberg Conference Center Floor 7, 50 Memorial Drive, Cambridge, MA 02142
    Research Areas: Multimedia, Computational Sensing, Wireless Communications & Signal Processing
    Brief
    • Dr. Petros Boufounos is co-organizing the symposium on "The Future of Signal Processing," held in honor of the 80th birthday of Prof. Alan V. Oppenheim.

      Details at: https://futureofsp.eecs.mit.edu

      Organizing committee:
      Dr. Tom Baran, Lumii
      Dr. Petros Boufounos, MERL
      Prof. Anantha Chandrakasan, MIT
      Prof. Yonina Eldar, Technion

      Program:
      8:00-8:45 Coffee
      8:45-9:00 Opening remarks
      Prof. Martin Schmidt, Provost, MIT
      9:00-9:35 The ever-expanding physical boundaries of Signal Processing
      Prof. Martin Vetterli, President of EPFL, Lausanne
      9:35-10:10 Signal Processors and the U.S. Navy: Enduring Partners
      Admiral John Richardson, Chief of Naval Operations, US Navy

      10:10-10:30 Short break

      10:30-11:05 Signals and Signal Processing: The Invisibles and The Everlastings
      Prof. Min Wu, Professor of Electrical and Computer Engineering, University of Maryland
      11:05-11:40 Signal processing with quantum computers
      Prof. Isaac Chuang, Professor of Physics and Electrical Engineering; Senior Associate Dean of Digital Learning, MIT

      11:40-12:30 A box lunch will be provided. In your lunchbox, you'll find an envelope with four cards in it. Bring these cards back to your seats promptly after lunch for a magical surprise!

      12:30-12:40 Your Role in the Future of Signal Processing
      Magician Joel Acevedo

      12:40-1:05 Future of Low-power Embedded Signal Processing
      Prof. Anantha Chandrakasan, Dean, School of Engineering, MIT
      1:05-1:30 Synthetic biology and signal processing in living cells
      Prof. Ron Weiss, MIT, Professor of Biological Engineering and Director of the Synthetic Biology Center
      1:30-1:55 Physics 101 for Data Scientists
      Prof. Richard Baraniuk, Professor of Electrical and Computer Engineering at Rice University, Founder and Director of OpenStax College

      1:55-2:15 Short break

      2:15-2:40 Signals: Representation and Information
      Prof. Meir Feder, Professor of Electrical Engineering, Tel Aviv University

      2:40-3:05 Exposing and Removing Information: Some new Mathematics for Signal Processing
      Dr. Petros Boufounos, Senior Principal Research Scientist, Sensing Team Leader, Mitsubishi Electric Research Labs

      3:05-4:00 Panel discussion: The Venn diagram between "Data Science," "Machine Learning" and "Signal Processing"
      Moderator:
      Prof. Alan Oppenheim, Ford Professor of Engineering, MIT
      Panelists:
      Prof. Asu Ozdaglar, Associate Department Head, Electrical Engineering and Computer Science, MIT
      Prof. Ron Schafer, Georgia Tech (Emeritus) and Stanford Univ.
      Prof. Yonina Eldar, Professor of Electrical Engineering, Technion
      Prof. Victor Zue, Professor of Electrical and Computer Engineering, MIT
      Prof. Alexander Rakhlin, Associate Professor of Statistics, University of Pennsylvania
      4:00 Closing remarks
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  •  NEWS   MERL presents 5 papers at ICIP 2017, Anthony Vetro serves as general co-chair
    Date: September 17, 2017 - September 20, 2017
    Where: Beijing, China
    MERL Contacts: Petros Boufounos; Chen Feng; Dehong Liu; Hassan Mansour; Huifang Sun; Yuichi Taguchi; Dong Tian; Anthony Vetro
    Research Areas: Multimedia, Computer Vision, Computational Geometry, Computational Sensing, Digital Video
    Brief
    • MERL presented 5 papers at the IEEE International Conference on Image Processing (ICIP), which was held in Beijing, China from September 17-20, 2017. ICIP is a flagship conference of the IEEE Signal Processing Society and approximately 1300 people attended the event. Anthony Vetro served as General Co-chair for the conference.
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  •  EVENT   Society for Industrial and Applied Mathematics panel for students on careers in industry
    Date & Time: Monday, July 10, 2017; 6:15 PM - 7:15 PM
    Speaker: Andrew Knyazev and other panelists, MERL
    MERL Contacts: Joseph Katz; Andrew Knyazev
    Location: David Lawrence Convention Center, Pittsburgh PA
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Advanced Control Systems, Computational Geometry, Computational Photography, Computational Sensing, Decision Optimization, Digital Video, Dynamical Systems, Information Security, Machine Learning, Optical Communications & Devices, Power & RF, Predictive Modeling, Wireless Communications & Signal Processing
    Brief
    • Andrew Knyazev accepted an invitation to represent MERL at the panel on Student Careers in Business, Industry and Government at the annual meeting of the Society for Industrial and Applied Mathematics (SIAM).

      The format consists of a five minute introduction by each of the panelists covering their background and an overview of the mathematical and computational challenges at their organization. The introductions will be followed by questions from the students.
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  •  NEWS   MERL to present 10 papers at ICASSP 2017
    Date: March 5, 2017 - March 9, 2017
    Where: New Orleans
    MERL Contacts: Petros Boufounos; Chen Feng; Takaaki Hori; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Dong Tian; Anthony Vetro; Ye Wang
    Research Areas: Multimedia, Computer Vision, Computational Geometry, Computational Sensing, Digital Video, Information Security, Speech & Audio
    Brief
    • MERL researchers will presented 10 papers at the upcoming IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), to be held in New Orleans from March 5-9, 2017. Topics to be presented include recent advances in speech recognition and audio processing; graph signal processing; computational imaging; and privacy-preserving data analysis.

      ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
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  •  TALK   High-Dimensional Analysis of Stochastic Optimization Algorithms for Estimation and Learning
    Date & Time: Tuesday, December 13, 2016; Noon
    Speaker: Yue M. Lu, John A. Paulson School of Engineering and Applied Sciences, Harvard University
    MERL Host: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing, Machine Learning
    Brief
    • In this talk, we will present a framework for analyzing, in the high-dimensional limit, the exact dynamics of several stochastic optimization algorithms that arise in signal and information processing. For concreteness, we consider two prototypical problems: sparse principal component analysis and regularized linear regression (e.g. LASSO). For each case, we show that the time-varying estimates given by the algorithms will converge weakly to a deterministic "limiting process" in the high-dimensional limit. Moreover, this limiting process can be characterized as the unique solution of a nonlinear PDE, and it provides exact information regarding the asymptotic performance of the algorithms. For example, performance metrics such as the MSE, the cosine similarity and the misclassification rate in sparse support recovery can all be obtained by examining the deterministic limiting process. A steady-state analysis of the nonlinear PDE also reveals interesting phase transition phenomena related to the performance of the algorithms. Although our analysis is asymptotic in nature, numerical simulations show that the theoretical predictions are accurate for moderate signal dimensions.
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  •  TALK   Collaborative dictionary learning from big, distributed data
    Date & Time: Friday, December 2, 2016; 11:00 AM
    Speaker: Prof. Waheed Bajwa, Rutgers University
    MERL Host: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • While distributed information processing has a rich history, relatively less attention has been paid to the problem of collaborative learning of nonlinear geometric structures underlying data distributed across sites that are connected to each other in an arbitrary topology. In this talk, we discuss this problem in the context of collaborative dictionary learning from big, distributed data. It is assumed that a number of geographically-distributed, interconnected sites have massive local data and they are interested in collaboratively learning a low-dimensional geometric structure underlying these data. In contrast to some of the previous works on subspace-based data representations, we focus on the geometric structure of a union of subspaces (UoS). In this regard, we propose a distributed algorithm, termed cloud K-SVD, for collaborative learning of a UoS structure underlying distributed data of interest. The goal of cloud K-SVD is to learn an overcomplete dictionary at each individual site such that every sample in the distributed data can be represented through a small number of atoms of the learned dictionary. Cloud K-SVD accomplishes this goal without requiring communication of individual data samples between different sites. In this talk, we also theoretically characterize deviations of the dictionaries learned at individual sites by cloud K-SVD from a centralized solution. Finally, we numerically illustrate the efficacy of cloud K-SVD in the context of supervised training of nonlinear classsifiers from distributed, labaled training data.
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  •  NEWS   MERL researchers present 12 papers at ICASSP 2016
    Date: March 20, 2016 - March 25, 2016
    Where: Shanghai, China
    MERL Contacts: Petros Boufounos; Chiori Hori; Takaaki Hori; Kyeong Jin (K.J.) Kim; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Philip Orlik; Milutin Pajovic; Dong Tian; Anthony Vetro
    Research Areas: Electronics & Communications, Multimedia, Computational Sensing, Digital Video, Speech & Audio, Wireless Communications & Signal Processing
    Brief
    • MERL researchers have presented 12 papers at the recent IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which was held in Shanghai, China from March 20-25, 2016. ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing, with more than 1200 papers presented and over 2000 participants.
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  •  AWARD   2015 IEEE Signal Processing Society Best Paper Award
    Date: December 1, 2015
    Awarded to: Mark A. Davenport, Petros T. Boufounos, Michael B. Wakin and Richard G. Baraniuk
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • Petros Boufounos is a recipient of the 2015 IEEE Signal Processing Society Best Paper Award for the paper that he co-authored with Mark A. Davenport, Michael B. Wakin and Richard G. Baraniuk on "Signal Processing with Compressive Measurements" which was published in the April 2010 issue of IEEE Journal of Selected Topics in Signal Processing. The Best Paper Award honors the author(s) of a paper of exceptional merit dealing with a subject related to the Society's technical scope, and appearing in one of the Society's solely owned transactions or the Journal of Selected Topics in Signal Processing. Eligibility is based on a five-year window: for example, for the 2015 Award, the paper must have appeared in one of the Society's Transactions between January 1, 2010 and December 31, 2014.
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  •  AWARD   GRSS 2014 Symposium Prize Paper Award
    Date: May 1, 2014
    Awarded to: Dehong Liu and Petros T. Boufounos
    Awarded for: "Synthetic Aperture Imaging Using a Randomly Steered Spotlight"
    Awarded by: IEEE Geoscience and Remote Sensing Society (GRSS)
    MERL Contacts: Dehong Liu; Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • Dehong Liu and Petros T. Boufounos are the recipients of the the IEEE Geoscience and Remote Sensing Society 2014 Symposium Prize Paper Award for their paper "Synthetic Aperture Imaging Using a Randomly Steered Spotlight," presented at IGARSS 2013 (TR2013-070).
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  •  NEWS   Signal Processing with Adaptive Sparse Structural Representation (SPARS): publication by Petros T. Boufounos
    Date: July 8, 2013
    Where: Signal Processing with Adaptive Sparse Structural Representation (SPARS)
    MERL Contact: Petros Boufounos
    Research Area: Multimedia
    Brief
    • The article "On Embedding the Angles Between Signals" by Boufounos, P.T. was published in Signal Processing with Adaptive Sparse Structural Representation (SPARS)
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  •  NEWS   International Conference on Sampling Theory and Applications (SampTA): publication by Petros T. Boufounos
    Date: July 1, 2013
    Where: International Conference on Sampling Theory and Applications (SampTA)
    MERL Contact: Petros Boufounos
    Research Area: Multimedia
    Brief
    • The paper "Sparse Signal Reconstruction from Phase-only Measurements" by Boufounos, P.T. was presented at the International Conference on Sampling Theory and Applications (SampTA)
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  •  NEWS   DCC 2013: publication by Petros T. Boufounos and Shantanu D. Rane
    Date: March 20, 2013
    Where: Data Compression Conference (DCC)
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • The paper "Efficient Coding of Signal Distances Using Universal Quantized Embeddings" by Boufounos, P.T. and Rane, S. was presented at the Data Compression Conference (DCC)
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  •  NEWS   Journal of Machine Learning Research (JMLR): publication by Petros T. Boufounos and others
    Date: March 1, 2013
    Where: Journal of Machine Learning Research (JMLR)
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • The article "Greedy Sparsity-Constrained Optimization" by Bahmani, S., Raj, B. and Boufounos, P. was published in Journal of Machine Learning Research (JMLR)
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  •  NEWS   IEEE Transactions on Information Theory: publication by Petros T. Boufounos and others
    Date: January 23, 2013
    Where: IEEE Transactions on Information Theory
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • The article "Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors" by Jacques, L., Laska, J.N., Boufounos, P.T. and Baraniuk, R.G. was published in IEEE Transactions on Information Theory
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  •  NEWS   MMSP 2012: publication by Petros T. Boufounos, Shantanu D. Rane and others
    Date: September 17, 2012
    Where: IEEE International Workshop on Multimedia Signal Processing (MMSP)
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Digital Video, Computational Sensing
    Brief
    • The paper "Quantized Embeddings of Scale-Invariant Image Features for Mobile Augmented Reality" by Li, M., Rane, S. and Boufounos, P. was presented at the IEEE International Workshop on Multimedia Signal Processing (MMSP)
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  •  AWARD   MMSP 2012 Top 10% Paper Award
    Date: September 1, 2012
    Awarded to: Mu Li, Shantanu Rane and Petros Boufounos
    Awarded for: "Quantized Embeddings of Scale-Invariant Image Features for Mobile Augmented Reality"
    Awarded by: IEEE International Workshop on Multimedia Signal Processing (MMSP)
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Digital Video, Computational Sensing
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  •  NEWS   International Workshops APPROX/RANDOM 2012: publication by Petros T. Boufounos and others
    Date: August 15, 2012
    Where: International Workshops APPROX/RANDOM
    MERL Contact: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    Brief
    • The paper "What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid" by Boufounos, P., Cevher, V., Gilbert, A.C., Li, Y. and Strauss, M.J. was presented at the International Workshops APPROX/RANDOM
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  •  NEWS   IGARSS 2012: publication by Petros T. Boufounos and Dehong Liu
    Date: July 22, 2012
    Where: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
    MERL Contacts: Dehong Liu; Petros Boufounos
    Research Areas: Multimedia, Digital Video, Computational Sensing
    Brief
    • The paper "Pan-Sharpening with Multi-scale Wavelet Dictionary" by Liu, D. and Boufounos, P.T. was presented at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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