Nanyang Technological University

Singapore 

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© 2016 Justin Dauwels & Dauwels Lab at NTU. All Rights Reserved.

Website Design by Vishnu Prasad Payyada and Priyanka Mehta

Deputy Director of STE-NTU Corporate Laboratory

Director of Neuroengineering Program

Associate Professor

School of Electrical and Electronics Engineering

Nanyang Technological University

Singapore

Email: jdauwels@ntu.edu.sg

Office Phone: +65 6790 5410

Office: S2.2 B2-15

> Talks/Scientific Meetings/Workshops/Seminars 

Invited presentations at scientific meetings/workshops/seminars (besides conference presentations)

 

Keynote talks

  1. IEEE SSCI 2013 (2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing), Singapore, 18 Apr 2013.

  2. 2014 IEEE Workshop on Self-Organizing Wireless Access Networks for Smart City (SWANSITY) on 30 Jun 2014, co-located with the 2014 IEEE International Conference on Sensing, Communication, and Networking (SECON), 30 Jun – 3 Jul 2014, Singapore

  3. Smart Cities Asia 2016, Kuala Lumpur Convention Centre, Malaysia, 19 Oct 2016.

 

Invited Seminars and Presentations at Scientific Meetings/Workshops (besides conference presentations/partial list):

  1. Towards Automated Interpretation of EEG Signals, 1 Dec 2016, KAIST, South Korea.

  2. Data analytics and simulation tools for urban mobility of the future, Joint DTU – NTU Workshop, NTU, 20 Oct 2016.

  3. Towards driverless cars, Smart Cities Asia 2016, Kuala Lumpur Convention Centre, Malaysia, 19 Oct 2016.

  4. Data analytics and simulation tools for urban mobility of the future, 14 Oct 2016, EPFL, Switzerland.

  5. Variational Bayes Learning of Time-Varying Graphical Models, 7 Oct 2016, ETH Zurich, Switzerland.

  6. Towards Automated Interpretation of EEG Signals, 27 Sept 2016, IIT Bombay, India.

  7. Variational Bayes Learning of Graphical Models with Hidden Variables, 10 Sept 2016, ETH Zurich Switzerland.

  8. Modeling Time-Varying Functional Networks from Multichannel Neural Recordings, 7 July 2016, Computational Neuroscience Symposium, Jeju Island, South Korea.

  9. Towards semi-automated and fully automated epileptic spike detection, Computational Brain Imaging Workshop 2016, 6 May 2016, NUS, Singapore.

  10. From Big Data To Big Insights: Processing large data streams by compact representations, Northeastern University, Boston, MA, 15 Apr 2016.

  11. From Big Data To Big Insights: Processing large data streams by compact representations, Okinawa Institute for Science and Technology (OIST), Japan, 15 Mar 2016.

  12. Mathematical models for controlling seizures and neurosurgical planning, A*STAR, Singapore, 23 Feb 2016.

  13. Machine Learning for Transportation Analytics, IEEE ITS Chapter, Singapore, A*STAR, 30 Nov 2015.

  14. Machine Learning for Transportation Analytics, KTH-NTU workshop on Urban Systems, NTU, 4 Nov 2015.

  15. Social Robotics for Education, 18 Oct 2015, “IDEAS with IDA and SCS”, IDA, Singapore.

  16. Technologies for Supporting and Assessing Learning: Behavioral and Neurophysiological Analysis, 17 Oct 2015, National Institute for Education, Singapore.

  17. Change Point Detection and Graphical Model Inference for Piecewise-Stationary Time Series, Annual Computational Neuroscience Meeting, Prague, Czech Republic, 22 Jul 2015.

  18. Towards a simulation platform for V2X Communications: Combining traffic and network simulation, NTU-NXP Workshop, NTU, 14 Jul 2015.

  19. Quantitative phase from defocus intensity, Okinawa Institute for Science and Technology (OIST), Japan, 30 Jun 2015.

  20. Mathematical models for controlling seizures and neurosurgical planning, Okinawa Institute for Science and Technology (OIST), Japan, 29 Jun 2015.

  21. Real-time monitoring of brain connectivity during team-based learning, NRF workshop Science of Learning Initiative: When Neuroscience meets Education, NTU, 3 Jun 2015.

  22. Urban Traffic Modeling, NTU-A*STAR I2R Workshop, NTU, 2 Mar 2015.

  23. Matrix and Tensor Decomposition Methods for Urban Traffic Modeling, SMART FM, CREATE, Singapore, 27 Jan 2015.

  24. Matrix and Tensor Decomposition Methods for Urban Traffic Modeling, DSO, Singapore, 26 Jan 2015.

  25. Effect of subliminal lexical priming on subjective perception of images, Tokyo University, Japan, 5 Jan 2015.

  26. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, RIKEN BSI, Japan, 26 Dec 2014.

  27. Matrix and Tensor Decomposition Methods for Urban Traffic Modeling, Tokyo Institute of Technology, Japan, 19 Dec 2014.

  28. Compressed Sensing for Radar, NTU-TL Workshop, NTU, 26 Nov 2014.

  29. Urban Traffic Modeling, NTU-NXP Workshop, NTU, 12 Nov 2014.

  30. Neurobrowser: Automated Annotation of EEG, NTU-KTH Workshop, NTU, 24 Sep 2014.

  31. Urban Traffic Modeling, NTU-KTH Workshop, NTU, 24 Sep 2014.

  32. Prediction of Traffic Accidents, NTU-BMW Workshop, NTU, 16 Sep 2014.

  33. Simulation Tools for Goods Transportation, JTC HQ, Singapore, 11 Aug 2014.

  34. Matrix and Tensor Decomposition Methods for Urban Traffic Modeling, RIKEN, Japan, 25 Jul 2014.

  35. Effect of subliminal lexical priming on subjective perception of images, Tokyo University for Agriculture and Technology, Japan, 17 Jul 2014.

  36. Data Analytics in the Realm of Neurology, LKC Workshop on Neurotechnologies, NTU, 27 Apr 2014.

  37. Urban Traffic Modeling, NTU-SMRT Workshop, NTU, 19 Apr 2014.

  38. Data Analytics for Autonomous Systems, NTU-STEngg Workshop, NTU, 8 Apr 2014.

  39. Neuroimaging for epilepsy, iMED Workshop, NTU, 6 Apr 2014.

  40. Neuroimaging for epilepsy, PET Imaging and Image Analysis Workshop, NTU, 3 Mar 2014.

  41. Failure Prognosis and Management for Water Distribution Systems, PUB, Singapore, 26 Feb 2014.

  42. Urban Traffic Modeling, LTA, Singapore, 27 Feb  2014.

  43. Low-dimensional Models for Traffic Data Compression, Compressed Sensing and Prediction, SMART FM Symposium, Singapore, 23 Jan 2014.

  44. Optimal ensemble control for seizure abatement, RIKEN Brain Science Institute, Japan, Dec 2013.

  45. Optimal ensemble control for seizure abatement, Tokyo University, Japan, Dec 2013.

  46. Theoretical framework for controlling absence seizures, Symposium on Grand Challenges in Neurotechnology, Singapore, Dec 2013.

  47. Towards Patient-Specific Models of Absence Seizures, Workshop on statistical analysis of neurophysiological and clinical data, Kyoto University, Kyoto, Japan, Jul 2013.

  48. Towards the Connectome of Epilepsy… and How to Bring it to Life?, SiNAPSE, NUS, 17 May 2013.

  49. Effect of subliminal lexical priming on subjective perception of images:
    behavioral & electrophysiological study, RIKEN Brain Science Institute, Japan, 26 Apr 2013.

  50. Effect of subliminal lexical priming on subjective perception of images:
    behavioral & electrophysiological study, Nanyang Business School, NTU,  28 Mar 2013.

  51. Machine learning for applications to neuroengineering, MISA Workshop, Tan Tock Seng Hospital  (TTSH), Singapore, 23 Mar 2013.

  52. Sociofeedback: Real-Time Monitoring of Conversations, ParisTech, France, Nov 2012.

  53. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, National Neuroscience Institute, Singapore, Oct 2012.

  54. Cognitive Neuroscience at School of EEE, Keio-RIKEN-NTU Cognitive Neuroscience Workshop, NTU, Nov 2012.

  55. Spatial Extreme Models, ETH Zurich, Switzerland, Jul 2012.

  56. Copula Graphical Models, ETH Zurich, Switzerland, Jul 2012.

  57. Compression of EEG through Matrix and Tensor Decompositions, Northeastern University, Boston, MA, Jun 2012.

  58. Technologies to Study and Enhance Cognition, DRTech Seminar, Singapore, May 2012.

  59. Signal Processing for Applications in Neurology: A Progress Report, Neuroscience Workshop (Complexity Programme), NTU, Mar 2012.

  60. Spatial Extreme Models, Kyoto University, Kyoto, Japan, Mar 2012.

  61. Tensor-based Methods for Handling Missing Data in Medical Questionnaires, Duke-NUS Quantitative Medicine Forum, Singapore, Jan 2012.

  62. Real-Time Route Guidance: Progress Report, SMART Future Mobility Symposium, Singapore, Jan 2012.

  63. Learning Networks with Hidden Variables, University of Electro-Communications, Tokyo, Japan, Dec 2011.

  64. Learning Networks with Hidden Variables, Kyoto University, Kyoto, Japan, Dec 2011.

  65. Tensor-based Methods for Handling Missing Data in Medical Questionnaires, Singapore Health and Biomedical Congress 2011, Nov 2011.

  66. Urban Traffic Prediction, SMART Future Mobility Symposium, Singapore, Jan 2011.

  67. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, Tokyo University, Japan, Dec 2010.

  68. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, Kyoto University, Japan, Dec 2010.

  69. Signal Processing for Diagnosis and Treatment of Brain Disorders, Tohoku University, Sendai, Japan, Dec 2010.

  70. Compression of EEG using multi-way analysis, University of Electro-Communications, Tokyo, Japan, Dec 2010.

  71. Graphical models: an idiosyncratic journey, DSO, Workshop on Signal Processing, Nov 2010, Singapore.

  72. Signal Processing for Diagnosis and Treatment of Brain Disorders, NUS (Neurobiology), Singapore, Oct 2010.

  73. Signal Processing for Diagnosis and Treatment of Brain Disorders, TTSH (Neurology), Singapore, Oct 2010.

  74. Challenges in Telemedicine, NTU-TTSH Workshop, TTSH, Singapore, Aug 2010.

  75. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, Nanyang Technological University, Singapore, Feb 2010.

  76. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, RIKEN Brain Science Institute, Japan, Jan 2010.

  77. Signal Processing for Diagnosis and Treatment of Brain Disorders, University of Electro-Communications, Tokyo, Japan, Jan 2010.

  78. Signal Processing for Diagnosis and Treatment of Brain Disorders, Nanyang Technological University, Singapore, Sep 2009.

  79. Signal Processing for Diagnosis and Treatment of Brain Disorders, Virginia Common Wealth University, Richmond, VA, Oct 2009.

  80. Automatic Localization of the Seizure Focus from Interictal Intracranial EEG, MIT, Cambridge, MA, Oct 2009.

  81. Signal Processing for Diagnosis and Treatment of Brain Disorders, EPFL, Lausanne, Switzerland, Sep 2009.

  82. Signal Processing for Diagnosis and Treatment of Brain Disorders, University of Biel, Switzerland, Sep 2009.

  83. Signal Processing for Diagnosis and Treatment of Brain Disorders, Syracuse University, Syracuse, NY, Jun 2009.

  84. Signal Processing for Diagnosis and Treatment of Brain Disorders, Minnesota University, Minneapolis, MN, May 2009.

  85. Signal Processing for Diagnosis and Treatment of Brain Disorders, Imperial College, London, UK, Mar 2009.

  86. Signal Processing for Diagnosis and Treatment of Brain Disorders, Massachusetts General Hospital, Boston, MA, Feb 2009.

  87. Quantifying statistical interdependence of point processes with application to spike data and EEG, Kyoto University, Kyoto, Japan, Nov 2008.

  88. Machine learning techniques for quantifying neural synchrony: application to the diagnosis of Alzheimer’s disease from EEG, Max Planck Institute Frankfurt, Frankfurt, Germany, Jun 2008.

  89. Machine learning techniques for quantifying neural synchrony: application to the diagnosis of Alzheimer’s disease from EEG, ETH Zurich, Zurich, Switzerland, Jun 2008.

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

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

  92. Machine Learning Techniques for Quantifying Neural Synchrony: Application to the Early Diagnosis of Alzheimer’s Disease from EEG, LIDS, MIT, Cambridge, MA, Feb 2008.

  93. Machine learning methods for exploring EEG dynamics, NAIST, Nara, Japan, Dec 2007.

  94. 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, 13 Sep 2007.

  95. Channel estimation by passing messages in graphical models, Deepening and Expansion of Statistical Mechanical Informatics Workshop, The Institute of Statistical Mathematics, Tokyo, Japan, 27-28 Aug 2007.

  96. Factor graph based signal processing, Nara Advanced Institute for Science and Technology (NAIST), Nara, Japan, 12 Oct 2006.

  97. Factor graph based inference: algorithms and bounds, Workshop on Machine Learning and Optimization, The Institute of Statistical Mathematics, Tokyo, Japan, 16 Aug 2006.

  98. Factor graph based inference: algorithms and bounds, Waseda University, Waseda, Japan, 30 May 2006.

  99. On applications of information geometry to signal processing, digital communications, and related areas, the 5th Workshop on Differential Geometry and Information Geometry, Nagoya University, 17-18 Feb 2006.

  100. Applications of message passing, MIT (LIDS/CSAIL/RLE), Cambridge, MA, 12 Dec 2005.

  101. On information-geometric aspects of graphical models and kernels, NIPS Workshop, Whistler, Canada, 10 Dec 2005.

  102. On Cramer-Rao-bound paradoxes (and how to circumvent them), University of Gent, Belgium, 3 Jun 2005.

  103. Phase estimation by EM and steepest descent, University of Gent, Belgium, 24 May 2005.

  104. Phase estimation by EM and steepest descent, University of Louvain-la-Neuve (UCL), Belgium, 23 May 2005.

  105. Applications of graphical models in signal processing, RIKEN Brain Science Institute, Saitama, Japan, 6 Jan 2005.

  106. An analog circuit that locks onto a pseudo-noise signal, Kanazawa Institute of Technology, Kanazawa, Japan, 16 Dec 2004.

  107. An analog circuit that locks onto a pseudo-noise signal, Workshop on Statistical Aspects of Electronic Systems, Lavin, Switzerland, 28–30 Oct 2004.

  108. Message Passing, Factor Graphs and Analog Circuits, School and Conference on Fundamental Aspects of Complexity, Abdus Salam International Center for Theoretical Physics, Trieste, Italy, 6-9 Sep 2004.

  109. Towards Quantum Algorithms for Inference, Physics and Media Group , MediaLab, MIT, Cambridge, MA, 18 May 2004.

  110. Loeliger’s Universe, Physics and Media Group , MediaLab, MIT, Cambridge, MA, 4 Dec 2003.

  111. Turbo Signal Processing, University of Ghent, Belgium, 11 Sep 2003.