Justin Dauwels CV (pdf) Office phone:  +1 617 452 3872                             E-mail:  justin(at)dauwels(dot)com Address:  Stochastic Systems Group Laboratory for Information and Decision Systems Massachusetts Institute of Technology, Building 32D-566, 77 Massachusetts Avenue, Cambridge, MA 02139-4307

Short Biography

     News

        Feb 23, 2009: We are constructing a website devoted to Stochastic Event Synchrony, a family of similarity measures for point processes that we developed earlier; click here to see work in progress.

• Graphical models ("factor graphs") for signal processing, machine learning, and coding
• Computational neuroscience (analysis of spike data, EEG, MEG etc. using state-of-the-art methods of statistical inference, signal processing and combinatorial optimization)
• Machine learning (e.g., Monte Carlo methods, kernel machines)
• Theoretical statistics (information geometry, higher-order asymptotic theory)

• Journal Papers and Book Chapters

• Conference Proceedings

• Software
  

• Invited talks and seminars
  

• Recently Attended Workshops (without talk)

• Tutorials

• PhD thesis

• Old Projects

• Teaching

Journal Papers and Book Chapters

• B. Kurkoski and J. Dauwels,
  Iterative decoding of lattice codes using Gaussian mixtures, submitted to IEEE Transactions on Information Theory.
   
• J. Dauwels, and H.-A. Loeliger, 
  Computing information rates of continuous channels with memory by particle methods, IEEE Transactions on Information Theory, vol. 54, no. 1, pp. 406–409, Jan. 2008
  PDF file, 219 KB. 
  

• H.-A. Loeliger, J. Dauwels, J. Hu, Li Ping, S. Korl, and F. Kschischang,
  The factor graph approach to model-based signal processing, Proc. of the IEEE, vol. 95, no. 6, pp. 1295–1322, June 2007 (invited paper).
  PDF file, 1356 KB. 
   
• B. Vigoda, J. Dauwels, N. Gershenfeld, and H.-A. Loeliger,
  Synchronization of pseudo-random signals by forward-only message passing with application to electronic circuits,
  IEEE Trans. Inform. Theory, vol. 52, no. 8, pp. 3843–3852, August 2006.
  PDF file, 335 KB.  

• J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki,
  On the Diagnosis of Alzheimer's Disease based on EEG, Current Alzheimer's Research, in preparation, (invited paper).
   
• F. Vialatte,  J. Dauwels,  M. Maurice, and A. Cichocki,
  Improving the specificity of EEG for diagnosing Alzheimer's disease, International Journal of Alzheimer's Disease, in preparation, (invited paper).

• F. Vialatte,  M. Maurice, J. Dauwels,  and A. Cichocki,
  SSVEP useful paradigms in neuroscience, and potential applications in BCI: open questions and challenges, Current Opinion in Neurobiology, in preparation, (invited paper).

• J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki,
  Analyzing Brain Signals by Combinatorial Optimization, submitted to IEEE Transactions on Information Theory. 
   
• F. Vialatte, J. Dauwels, M. Maurice, and A. Cichocki,
  Steady-state visually evoked potentials: time-frequency analysis and oscillatory event synchrony, Cognitive Neurodynamics, in press.
   
  
• F. Vialatte, J. Sole-Casals, J. Dauwels, M. Maurice, and A. Cichocki,
  Bump Time-Frequency Toolbox: a Toolbox for Time-Frequency Oscillatory Bursts Extraction in Electrophysiological Signals, BMC Neuroscience, in press. 
   
• J. Dauwels, F. Vialatte, T.Weber, and A. Cichocki,
  Quantifying Statistical Interdependence by Message Passing on Graphs PART I: One-Dimensional Point Processes, Neural Computation, in press.
  PDF file, 1512 KB.  
   
  
• J. Dauwels, F. Vialatte, T.Weber, T.Musha and A. Cichocki,
  Quantifying Statistical Interdependence by Message Passing on Graphs PART II: Multi-Dimensional Point Processes, Neural Computation, in press.
  PDF file, 857 KB.  
   
  
• J. Dauwels, F. Vialatte, M. Vialatte, and A. Cichocki,
  A Comparative Study of Synchrony Measures for the Early Diagnosis of Alzheimer’s Disease Based on EEG, NeuroImage, in press.
  PDF file, 661 KB.  

• F. Vialatte, J. Dauwels, T. Rutkowski, and A. Cichocki,
  Oscillatory Event Synchrony during Steady State Visually Evoked Potentials, Advances in Cognitive Neurodynamics, Springer, October 2008 (invited paper).

• J. Dauwels, F. Vialatte, T. Rutkowski, and A. Cichocki,
  Measuring Neural Synchrony by Message Passing, Advances in Neural Information Processing Systems (NIPS), 2007.
  PDF file, 263 KB.  
   
  

• B. Kurkoski, J. Dauwels, and H.A. Loeliger,
  Power-Constrained Communications Using LDLC Lattices,
  Proc. IEEE Int. Symp. on Information Theory (ISIT 2009).
  PDF file, 210 KB.  

• B. Kurkoski and J. Dauwels,
  Gaussian mixture reduction by L2-norm minimization, with applications to lattice decoding,
  Proc. IEEE Int. Symp. on Information Theory (ISIT 2008).
  PDF file, 519 KB.  

• J. Dauwels,
  An algorithm to improve and validate Cramer-Rao Bounds through the fibre bundle theory of local exponential families,
  Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP), 2007.
  PDF file, 79 KB.  

• J. Dauwels,
  Improving and validating Cramer-Rao bounds through higher-order asymptotic estimationtheory: a case study,
  Proc. 2006 IEEE Int. Symp. on Information Theory and its Applications (ISITA), Seoul, South-Korea, Oct. 29–Nov. 1, 2006.
  

• J. Hu, H.-A. Loeliger, J. Dauwels, and F. Kschischang,
  A general computation rule for lossy summaries messages with examples from equalization,
  Proc. 44th Allerton Conf. on Communication, Control, and Computing, Monticello, Illinois, Sept. 27–29, 2006, (invited paper).
  PDF file, 194 KB.  

• J. Dauwels,
  On convergence and stability properties of decision-based inference algorithms on general graphs,
  Proc. IEEE Int. Symp. Information Theory (ISIT), 2007.
  PDF file, 84 KB.  
  

• J. Dauwels,
  Variational message passing on factor graphs,
  Proc. IEEE Int. Symp. Information Theory (ISIT), 2007.
  PDF file, 85 KB.   

• J. Dauwels, Sascha Korl, and H.-A. Loeliger,
  Particle methods as  message passing,
  Proceedings of 2006 IEEE Int. Symp. Information Theory
  PDF file, 84 KB.   
   
• J. Dauwels and Sascha Korl,
  A numerical method to compute Cramér-Rao-type bounds for challenging estimation problems,
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). (Student Paper Contest Winner)
  PDF file, 68 KB.   
   
• T. Ott, J. Dauwels, and R. Stoop,
  Sequential clustering by loopy belief propagation,
  Proceedings of the European Conference on Circuit Theory and Design, 2005.
   
• J. Dauwels,
  Numerical computation of the capacity of continuous memoryless channels,
  Proceedings of the 26th Symposium on Information Theory in the BENELUX, Brussels, Belgium, May 19 -20, 2005, pp. 221-228.
  PDF file, 857 KB.   

• J. Dauwels, S. Korl, and H.-A. Loeliger,
  Expectation maximization for phase estimation,
  Proceedings of  the Eighth International Symposium on Communication Theory and Applications, 2005.
  PDF file, 146 KB.   

•  J. Dauwels, S. Korl, and H.-A. Loeliger,
  Steepest descent on factor graphs,
  Proceedings of the IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity.
  PDF file, 132 KB.

• J. Dauwels, S. Korl, and H.-A. Loeliger,
  Expectation maximization as message passing,
  Proceedings of IEEE Int. Symp. Information Theory, 2005.
  PDF file, 92 KB.
   
• J. Dauwels,
  Computing Bayesian Cramér-Rao bounds,
  Proceedings of  the  IEEE Int. Symp. Information Theory, 2005.
  PDF file, 120 KB.

• J. Dauwels, H.-A. Loeliger, P. Merkli, and M. Ostojic,
  On Markov structured summary propagation and LFSR synchronization,
  Proc. 42nd Allerton Conf. on Communication, Control, and Computing, (Allerton House, Monticello, Illinois), Sept. 29 - Oct. 1, 2004. (invited paper)
  PDF file, 196 KB.

• J. Dauwels, H. Wymeersch, H.-A. Loeliger and M. Moeneclaey,
  Phase Estimation and Phase Ambiguity Resolution by Message Passing,
  Proc. 11th International Conference on Telecommunications and Networking, pp. 150–155, Fortaleza, Brazil, August 1–6, 2004.

• J. Dauwels and H.-A. Loeliger,
  Computation of Information Rates by Particle Methods,
  Proc. 2004 IEEE International Symposium on Information Theory, p. 178, Chicago, USA, June 27–July 2, 2004.
  PDF file, 160 KB.

• J. Dauwels and H.-A. Loeliger,
  Phase Estimation by Message Passing,
  Proc. 2004 IEEE Int. Conf. on Communications, pp. 523–527, Paris, June 20–24, 2004.
  PDF file, 196 KB.

• H.-A. Loeliger, J. Dauwels, V. M. Koch, S. Korl,
  Signal processing with factor graphs: examples,
  First International Symposium on Control, Communications and Signal Processing (ISCCSP 2004), Hammamet, Tunisia, March 21–24, 2004. (invited paper)
  PDF file, 148 KB.

• J. Dauwels, H.-A. Loeliger, P. Merkli, and M. Ostojic,
  On Structured-Summary Propagation, LFSR Synchronization, and Low-Complexity Trellis Decoding,
  Proc. 41st Allerton Conf. on Communication, Control, and Computing, (Allerton House, Monticello, Illinois), Oct. 1–3, 2003. (invited paper)
  PDF file, 213 KB.

• J. Dauwels and H.-A. Loeliger,
  Joint Decoding and Phase Estimation: an Exercise in Factor Graphs,
  Proc. 2003 IEEE Int. Symp. Information Theory, p. 231, Yokohama, Japan, June 29 – July 4 , 2003.
  PDF file, 72 KB.

• J. Dauwels, F.Vialatte, and A. Cichocki,
  On the Early Diagnosis of Alzheimer's Disease from EEG Signals: A Mini-Review,
  Proc. 2nd International Conference on Cognitive Neurodynamics (ICCN09), submitted.

• F. Vialatte, J. Sole-Casals, A. Hazart, D. Prvulovic, J. Dauwels, J. Pantel, and C. Haenschel,
  Modeling transient oscillations in the EEG of patients with mild cognitive impairment,
  Proc. 2nd International Conference on Cognitive Neurodynamics (ICCN09), submitted.

• J. Dauwels, F. Vialatte, C. Latchoumane, J. Jeong, and A. Cichocki,
  Loss of EEG Synchrony in Early-Stage AD patients: a Study with Multiple Synchrony Measures and Multiple EEG Data Sets,
  Proc. 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC09), in press (invited paper)..
  PDF file, 1007 KB. 

• J. Dauwels, S. Cash, and E. Eskandar,
  Localization of Seizure Onset Area from Intracranial Non-Seizure EEG by Exploiting Locally Enhanced Synchrony,
  Proc. 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC09), in press. .
  PDF file, 69 KB. 

• J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki,
  Analyzing brain signals by combinatorial optimization,
  Forty-Sixth Annual Allerton Conference on Communication, Control, and Computing, September 23–26, 2008, Allerton Retreat Center, Monticello, Illinois (invited paper).
  

• J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki,
  On similarity measures for spike trains,
  International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.
  PDF file, 310 KB. 
  

• J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki,
  An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony,
  International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.
  PDF file, 172 KB. 
  

• J. Dauwels, Y. Tsukada, Y. Sakumura, S. Ishii, F. Vialatte, and A. Cichocki,
  On the synchrony of morphological and molecular signaling events in cell migration,
  International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.
  PDF file, 506 KB. 

• F. Vialatte, J. Dauwels, J. Sole-Casals, M. Maurice and A. Cichocki,
  Improved Sparse Bump Modeling for Electrophysiological Data,
  International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.

• F. Vialatte, M. Maurice, J. Dauwels, and A. Cichocki,
  Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz),
  International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.
  

• J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki,
  Stochastic Synchrony, Application to Neural Signals and Early Prediction of Alzheimer’s Disease,
  Proceedings of the 3rd INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2008), J. Li, D. Aleman, R. Sikora, eds.

• J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki,
  Quantifying the Similarity of Multiple Multi-Dimensional Point Processes by Integer Programming with Application to Early Diagnosis of Alzheimer’s Disease from EEG,
  Proc. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08).
  PDF file, 219 KB.
  

• J. Dauwels, T. Rutkowski, F. Vialatte, and A. Cichocki,
  On the Synchrony of Empirical Mode Decompositions with Application to EEG,
  Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP), 2008.
  PDF file, 175 KB.
  

• J. Dauwels, F. Vialatte, T. Rutkowski, and A. Cichocki,
  Machine Learning Methods for Exploring EEG Dynamics,
  NIPS Workshop on Large-Scale Brain Dynamics, 2007.
  

• T. Rutkowski, J. Dauwels, F. Vialatte, D. Mandic and A. Cichocki,
  Time-Frequency and Synchrony Analysis of Responses to Steady-state Auditory and Musical Stimuli from Multichannel EEG,
  NIPS Workshop on Music, Brain and Cognition, 2007.
  PDF file, 173 KB. 

• J. Dauwels, F. Vialatte, and A. Cichocki,
  A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer’s Disease Based on EEG,
  Proc. 2007 International Conference on Neural Information Processing (ICONIP),
  13–16 November, 2007, Kitakyushu, Japan.
  PDF file, 301 KB. 
  

• J. Dauwels, F. Vialatte, and A. Cichocki,
  A Novel Measure for Synchrony and Its Application to Neural Signals,
  Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP), 2007 (invited paper).
  

Software

• Sequential Monte-Carlo methods to compute the information rate of continuous channels with memory. Click here to download.
  

• Toolbox to extract sparse time-frequency models of electrophysiological signals (e.g., scalp and intracranial EEG).

• Quantifying statistical interdependence of point processes with application to spike data and EEG,
  Kyoto University, November 2008.
  PDF file, 8082 KB. 
   
  
• Machine learning techniques for quantifying neural synchrony: application to the diagnosis of Alzheimer’s disease from EEG,
  Max Planck Institute Frankfurt, June 2008.
  PDF file, 7490 KB.
  

• Machine learning techniques for quantifying neural synchrony: application to the diagnosis of Alzheimer’s disease from EEG,
  ETH Zurich, June 2008.
  PDF file, 7793 KB. 

• Machine learning techniques for quantifying neural synchrony: application to the diagnosis of Alzheimer’s disease from EEG,
  Massachusetts General Hospital, Boston, MA, May 2008.
  PDF file, 7376 KB. 

• Stochastic event synchrony: a statistical tool for aligning multivariate multi-dimensional point processes,
  Tokyo Institute of Technology, March 2008.

• Machine Learning Techniques for Quantifying Neural Synchrony: Application to the Early Diagnosis of Alzheimer’s Disease from EEG,
  LIDS, MIT, Feb. 2008.
   
  
• Machine learning methods for exploring EEG dynamics,
  Nara Advanced Institute for Science and Technology (NAIST), Nara, Dec. 2007.
   
  
• Human brain dynamics and synchrony measures, applications to detection of Alzheimer’s disease,
  Symposium on Brain Activity and Information Integration, RIKEN, Wako-shi, Saitama, Japan, Sept. 13, 2007.
   
  
• Channel estimation by passing messages in graphical models,
  Deepening and Expansion of Statistical Mechanical Informatics Workshop, The Institute of Statistical Mathematics, Tokyo, Japan, August 27–28, 2007.
   
  
• Factor graph based signal processing,
  Nara Advanced Institute for Science and Technology (NAIST), Nara, Japan, Oct. 12, 2006.
  PDF file, 914 KB.
   
  
• Factor graph-based inference: algorithms and bounds,
  Workshop on Machine Learning and Optimization, The Institute of Statistical Mathematics, Tokyo, Japan, August 16th, 2006.
   
• Computation of the capacity of continuous memoryless channels and the rate distortion function of continuous memoryless sources,
  2006 Hawaii, IEICE, and SITA Joint Conference on Information Theory, Nara, Japan, May 23-26, 2006.
   
• On applications of information geometry to signal processing, digital communications, and related areas,
  The 5th Workshop on Differential Geometry and Information Geometry, Nagoya University, Japan, February 17-18, 2006.
   
• On Information-geometric aspects of graphical models and kernel machines,
  NIPS Workshop, Whistler, Canada, December 9-10, 2005. PDF file, 207KB.
   
• On various applications of message passing on factor graphs,
  MIT (CSAIL/RLE/LIDS), Cambridge, MA, December 13, 2005. PDF file, 3.775KB.
   
• On Cramér-Rao-bound paradoxes (and how to circumvent them),
  University of Gent, Belgium, June 03, 2005.
   
• Phase estimation by EM and steepest descent,
  University of Gent, Belgium, May 24, 2005.
  University of Louvain-la-Neuve (UCL), Belgium, May 23, 2005.
  
  
• RIKEN Brain Science Institute, Saitama, Japan, Jan 06, 2005.
  Part 1. Applications of graphical models in signal processing.
  Part 2. An efficient algorithm to compute Cramér-Rao bounds in graphical models.
   
• An analog circuit that locks onto a pseudo-noise signal, Kanazawa Institute of Technology, Japan, December 16, 2004.

• Message Passing, Factor Graphs and Analog Circuits, School and Conference on Fundamental Aspects of Complexity, Abdus Salam International Center for Theoretical Physics, Trieste, Sept. 6-9,  2004.
  
  
• An analog circuit that locks onto a pseudo-noise signal, Workshop on Statistical Aspects of Electronic Systems, Lavin, Switzerland, October 28-30, 2004.
  
  
• Towards Quantum Algorithms for Inference, MediaLab, MIT, May 18, 2004.

• Turbo Signal Processing, University of Gent, Sept. 11, 2003.

• Loeliger's Universe, MediaLab, MIT, Dec. 4, 2003.

• Fourth International Workshop Statistical Analysis of Neuronal Data (SAND4), May 29–31, 2008 Pittsburgh, PA.

• Neuro 2007, Yokohama-shi, Kanagawa, Japan, Sept. 10–12, 2007.

• Retreat of the Picower Institute for Learning and Memory (MIT), Cape Cod, MA, USA, May 30–June 1, 2007.

• Joint Workshop of RIKEN BSI and Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA, May 29, 2007.

• Systems Neurobiology Spring School: Information Processing and Developments in Neural Systems, Osaka, Japan, March 9–11, 2007.

• RIKEN Brain Science Institute Summer Program: Dynamical States in the Brain, July 24 - August 4, 2006.

• Okinawa Computational Neuroscience Course, Okinawa, Japan, June 26-July 7, 2006.

• Information Geometry from the Perspective of Affine Differential Geometry, RIKEN, BSI, January 29-30, 2006.

• Machine Learning Summer School 2004,  Pascal Network, Berder Island,  France, Sept. 12-25,  2004.

• Quantum Systems for Information Technology Workshop, Flums, Switzerland, March  5-7, 2004.

• Avogadro-Scale Engineering: Form and Function, MIT, Cambridge, Nov. 18-19, 2003.

• Probability and Statistical Mechanics in Information Science, Centro di Ricerca Matematica Ennio De Giorgi, Pisa, Italy, June 3-July 20, 2003.

Tutorials

• Kernel machines (presented at ISI, 04/11/2004)
  PDF file, 2.265 KB.

• Posterior Cramér-Rao bounds for estimation in graphical models (presented at ISI, 31/03/2005)
  PDF file, 2.491 KB.

PhD Thesis

• On Graphical Models for Communications and Machine Learning: Algorithms, Bounds, and Analog Implementation, December 2005.

Old Projects

• Self-Supervised Learning of Hierarchies, Diploma Thesis, Institute of Neuroinformatics, ETH Zurich and University of Zurich, Sept. 2000.

• Der Sprachspielbegriff in Wittgensteins Uber Gewissheit, Hausarbeit im Fach Philosophie der FernUniversität Hagen, June 2001. PDF file, 297 KB.
  
  

Teaching

• Teaching assistant for Adaptive Filters and Neural Networks (Winter 2000, 2001 and 2002)
• Teaching assistant for Digital Signal Processing (Winter 2001)
• Teacher of Practical Signal Processing with DSPs (Summer 2001)
• Teaching assistant for Algebra, Codes and Signal Processing (Summer 2002) 
  

Last modified: May 24, 2009

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