Anthony Quinn
Associate Professor, Electronic & Elect. Engineering

Biography

Anthony Quinn is a senior academic (associate professor) in electronic engineering at Trinity College Dublin. He has had tenure there for twenty four years, and is a Fellow of the College since 2008. He has specialized for nearly thirty years in the development of theory and methods in statistical signal processing. He has an international reputation in Bayesian methodology, i.e. fully probabilistic methods for coping with uncertainty, inspiring optimal design and algorithm flows. He co-authored the first, and highly cited, book (Springer, 2006) on Bayesian methods for the design of signal processing algorithms that can be implemented efficiently (i.e. low energy and computational costs) on computers and specialized hardware. His algorithms have been applied in several practical contexts, notably in signal and image analysis for medical diagnosis and advisory system design. More recently, he has collaborated with his long-time partners in the Czech Academy of Sciences on important problems in Bayesian decision-making and design, with applications in distributed knowledge processing for sensor networks. This work has led to what is probably the first formal Bayesian definition of the transfer learning problem, a key concern in machine learning. He is developing new results in this area currently, as a one-year Fulbright visiting scholar at the renowned Michael Jordan group in Statistics at the University of California, Berkeley. He has recently secured an appointment as research scientist in the Department of Adaptive Systems at the Czech Academy of Sciences (2017-20). Professor Quinn is a committed educator in electrical engineering. He has originated and developed innovative courses in probability (which has been approved for the entire Junior Sophister engineering student cohort in his School) and in statistical signal processing (a module which he developed for the MAI Fifth Year programme in Electronic Engineering, and which was central to the success of the programme in professional accreditation). He has served in many senior roles professionally in his discipline and in his College. He named, lead-authored and developed the E3 and its Strategy in 2012, which received strong endorsement internationally. It has since been adopted as a priority infrastructure project by College. He serves recurrently, and for many years, on committees of several of the best international conferences and funding agencies. He was general chair of the Irish Signals and Systems Conference in 2011, and has acted as external examiner in Ireland and France.

Publications and Further Research Outputs

Peer-Reviewed Publications

L. Jirsa, F. Varga and A. Quinn, Identification of Thyroid Gland Activity in Radioiodine Therapy, Informatics in Medicine Unlocked, 7, 2017, p23 - 33 Journal Article, 2017

A. Quinn, M. Kárny and T.V. Guy, Optimal Design of Priors Constrained by External Predictors, International Jour. Approximate Reasoning, 84, 2017, p150 - 158 Journal Article, 2017 DOI

A. Quinn, M. Kárny and T.V. Guy, Fully probabilistic design of hierarchical Bayesian models, Information Sciences, 369, 2016, p532 - 547 Journal Article, 2016 DOI URL

S. Azizi and A. Quinn, Hierarchical Fully Probabilistic Design for Deliberator-Based Merging in Multiple Participant Systems, IEEE Trans. Systems, Man, Cybernetics: Systems, (99), 2016, p1-9 Journal Article, 2016

Azizi S, Quinn A, A data-driven forgetting factor for stabilized forgetting in approximate Bayesian filtering, 2015 26th Irish Signals and Systems Conference, ISSC 2015, 2015, 2015 Conference Paper, 2015 DOI URL

Azizi S, Quinn A, Approximate Bayesian filtering using stabilized forgetting, 2015 23rd European Signal Processing Conference, EUSIPCO 2015, 2015, 2015, pp2711 - 2715 Conference Paper, 2015 URL DOI

Quinn, A. and Jackson, A., E3: the Engineering, Energy and Environment Institute of Trinity College Dublin, Trinity College Dublin, June, 2012, 123 pp. Report, 2012

V.H. Tran and A. Quinn, The Transformed Variational Bayes Approximation, Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process. (ICASSP), Prague, 2011 Conference Paper, 2011

Arijit Das and Anthony Quinn, A Variational Bayes Approach to Decoding in a Phase-Uncertain Digital Receiver, IET Irish Signals and Systems Conference, Trinity College Dublin, 23-24 June 2011, 2011 Conference Paper, 2011 TARA - Full Text URL

V.H. Tran and A. Quinn, Variational Bayes Variants of the Viterbi Algorithm, Proc. 22nd IET Irish Signals and Systems Conference (ISSC), Dublin, 2011 Conference Paper, 2011

A. Quinn, Recursive Inference for Inverse Problems using Variational Bayes Methodology, Proc. 5th Int. ICST Conf. on Performance Evaluation Methodologies and Tools (VALUETOOLS), Cachan, France, 2011 Conference Paper, 2011

A. Quinn, J.P. Barbot, P. Larzabal, The Bayesian Inference of Phase, Proc. IEEE Int. Conf. Acoust., Speech, Sig. Process. (ICASSP), Prague, 2011 Conference Paper, 2011

V.H. Tran and A. Quinn, Online Bayesian Inference for a Mixture of Known Components, Proc. Irish Signals and Systems Conf. (ISSC), Cork, 2010 Conference Paper, 2010

B. Cogan, A. de Paor and A. Quinn, PI Control of First-Order Lag plus Time-Delay Plants: Root Locus Design for Optimal Stability, Trans. Institute of Measurement and Control, 31, (5), 2009, p365 - 379 Journal Article, 2009

V. mídl and A. Quinn, Variational Bayesian Filtering, IEEE Trans. Sig. Processing, 56, (10), 2008, p5020 - 5030 Journal Article, 2008

Identification of Thyroid Gland Activity in Radiotherapy in, Bayesian Statistics VIII, Oxford University Press, 2007, pp613 - 618, [L. Jirsa, A. Quinn, F, Varga] Book Chapter, 2007

V. mídl and A. Quinn, Accelerated Particle Filtering using the Variational Bayes Approximation, Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Process. (ICASSP), Hawaii, 2007 Conference Paper, 2007

V. mídl and A. Quinn, On Bayesian Principal Component Analysis, Jour. of Computational Stats. and Data Analysis, 51, (9), 2007, p4101 - 4123 Journal Article, 2007

A. Quinn and M. Kárný, Learning for Nonstationary Dirichlet Processes, Jour. Adaptive Control and Signal Processing, 21, (10), 2007, p1 - 29 Journal Article, 2007

V. mÍdl and A. Quinn, The Restricted Variational Bayes Approximation in Bayesian Filtering, Proc. IEEE Statist. Sig. Process. Workshop, Cambridge, (83), 2006, pp1 - 4 Conference Paper, 2006

V. mÍdl and A. Quinn, The Variational Bayes Approximation in Bayesian Filtering, Proc. IEEE Int. Conf. on Acoust., Speech and Sig. Process. (ICASSP), Toulouse, 3, 2006, pp137 - 140 Conference Paper, 2006

A. Quinn, V. mídl , The Variational Bayes Method in Signal Processing , Berlin, Heidelberg, Springer-Verlag, 2006, 247pp Book, 2006

Senan Doyle, Anthony Quinn and Petr Gebousky, Bayesian Inference of Optimal Lymphoscintigraphic Sampling Times, IFMBE Proceedings EMBEC'05, 3rd European Medical and Biological Engineering Conference, Prague, Czech Republic, November 20-25, edited by Peter Kneppo and Jiri Hozman , 11, (1), International Federation for Medical and Biological Engineering, 2005, pp3255 - 3259 Conference Paper, 2005 URL

A. Quinn, V. mídl, The Variational EM Algorithm for On-line Identification of Extended AR Models, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Philadelphia, U.S.A, 2005 Conference Paper, 2005

A. Quinn, V. mídl, Mixture-Based Extension of the AR Model and its Recursive Bayesian Identification, IEEE Trans. Sig. Process, 2005 Journal Article, 2005

A. Quinn, V. mídl, M. Karný, and T. V. Guy, Robust Estimation of Autoregressive Processes using a Mixture Based Filter Bank, Sys. And Cont. Letters, 54, (4), 2005, p315 - 323 Journal Article, 2005

A. Quinn, V. mídl. And Y. Maniouloux, Fully Probabilistic Model for Functional Analysis of Medical Image Data, Proceedings of the Irish Signals and Systems Conference, Belfast, 2004 Conference Paper, 2004

A. Quinn, V. mídl, Bayesian Estimation of Non-stationary AR Model Parameters via an Unknown Forgetting Factor, Proceedings of the IEEE Workshop on Digital Signal Processing, New Mexico, U.S.A., 2004 Conference Paper, 2004

A. Quinn, E. Ranguelova, 3-D Methods for Difference Estimation in Volumetric Data, Proceedings of the IEEE Workshop on Image and Signal Processing and its Applications, Rome, 2003 Conference Paper, 2003

Lymphoscintigraphy of Upper Limbs: a Bayesian Framework in, Valencia VII, Oxford University Press, 2003, pp543 - 552, [A. Quinn, P. Gebouský and M. Karný] Book Chapter, 2003

A. Quinn, V. mídl, The Extended AR Model and its Bayesian Identification, Proceedings of the Irish Signals and Systems Conference, Limerick, 2003 Conference Paper, 2003

A. Quinn, P. Ettler, L. Jirsa, I. Nagy and P. Nedoma, Probabilistic Advisory Systems for Data-Intensive Applications, Int. J. Adapt. Control Signal Process, 17, 2003, p133 - 148 Journal Article, 2003

A. Quinn, V. mídl., Fast Variational PCA for Functional Analysis of Dynamic Image Sequences, Proceedings of the IEEE Workshop on Image and Signal Processing and its Applications, Rome, 2003 Conference Paper, 2003

A. Quinn, E. Ranguelova, Difference Field Estimation for Enhanced 3-D Texture Segmentation, Proceedings of the British Machine Vision Conference, Cardiff, Wales, 2002 Conference Paper, 2002

A. Quinn, E. Ranguelova, Difference Estimation and Compensation via Entropy Minimization in 3-D Image Segmentation, Proceedings of the 2nd International Workshop on Spectral Methods and Multirate Signal Processing, Toulouse, France, 2002 Conference Paper, 2002

A. Quinn, V. mídl, Variational Methods in Dimensionality Reduction, Workshop on Advances in Information and Control Theory, Slovenia, 2002 Conference Paper, 2002

A. Quinn, L. Jirsa, Mixture Analysis of Nuclear Medicine Data: Medical Decision Support, Proceedings of the Irish Signals and Systems Conference, Maynooth, 2001 Conference Paper, 2001

A. Quinn, E. Ranguelova, Registration Preprocessing for Enhanced 3-D Segmentation, Proceedings of the Irish Signals and Systems Conference, Maynooth, 2001 Conference Paper, 2001

A. Quinn, L. Tesaø, Detection and Removal of Outliers from Multidimensional AR Processes, Proceedings of the Irish Signals and Systems Conference, Maynooth, 2001 Conference Paper, 2001

Bayesian Identification of Non-Linear Parameters in Signal and System Models in, Attractors, Signals and Synergetics, Berlin, Pabst Science Publishers, 2001, pp284 - 294, [A. Quinn] Book Chapter, 2001

A. Quinn, L. Tesaø, Method for Artefact Detection and Suppression Using Alpha-Stable Distributions, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA), Prague, Czech Republic, 2001 Conference Paper, 2001

A. Quinn, V. mídl and M. Kárný, On Prior Information in Principal Component Analysis, Proceedings of the Irish Signals and Systems Conference, Maynooth, 2001 Conference Paper, 2001

A. Quinn, E. Ranguelova, Disparity-Compensated Segmentation of 3-D Images, PhD Workshop on Cybernetics and Informatics, Marianska, Czech Republic, 2000 Conference Paper, 2000

A. Quinn, L. Tesaø, A Survey of Techniques for Pre-Processing in High-Dimensional Data Clustering, PhD Workshop on Cybernetics and Informatics, Marianska, Czech Republic, 2000 Conference Paper, 2000

A. Quinn, E. Clark, A Data-Driven Bayesian Sampling Scheme for Unsupervised Image Segmentation, 6, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Phoenix, U.S.A., 2307, 1999 Conference Paper, 1999

A. Quinn, E. Ranguelova, Analysis and Synthesis of Three-Dimensional Gaussian Markov Random Fields, Proceedings of the IEEE International Conference on Image Processing (ICIP), Kobe, Japan, 1999 Conference Paper, 1999

Regularized Signal Identification using Bayesian Techniques in, Attractors, Signals and Synergetics, Boston, Birkhäuser , 1998, pp151 - 162, [Quinn, A.] Book Chapter, 1998

Quinn A., J.Reichel, A Fast and Fully Unsupervised Scheme for Model-Based Image Segmentation, Proceedings of the SPIE Conference on Bayesian Inference for Inverse Problems, San Diego, U.S.A., 1998, pp82 - 90 Conference Paper, 1998

Quinn A., Novel Parameter Priors for Bayesian Signal Identification, Speech and Signal Processing (ICASSP), Proceedings of the IEEE International Conference on Acoustics, Munich, Germany, 5, (3909), 3912, 1997 Conference Paper, 1997

Quinn A., Regularization Strategies for Signal Identification, The European Association for Signal Processing (EURASIP), Proceedings of the First European Conference on Signal Analysis and Prediction, Prague, Czech Republic, 1997, pp145 - 148 Conference Paper, 1997

Quinn A., O. Schwartz, New Approaches to Markov Random Field-Based Image Segmentation, Proceedings of the Irish DSP and Control Conference, Dublin, Ireland, 1996, pp323 - 330 Conference Paper, 1996

Quinn A., O. Schwartz, Fast and Accurate Texture-Based Image Segmentation, Proceedings of the IEEE International Conference on Image Processing, Lausanne, Switzerland, 3, 1996, pp121 - 124 Conference Paper, 1996

Quinn A., A Mathematical Framework for Signal Identification, Proceedings of the Eighth URSI Symposium on Radio Science, paper No. 7, Royal Irish Academy, Dublin, Ireland, 1996 Conference Paper, 1996

Quinn A., A General Complexity Measure for Signal Identification using Bayesian Inference, Proceedings of the IEEE Workshop on Nonlinear Signal and Image Processing, Halkidiki, Greece, 2, 1995, pp843 - 846 Conference Paper, 1995

Quinn A., M. C. Musgrave, Texture Analysis of Terrain Images using a Markov Random Field Model, Proceedings of the Fifth IEE International Conference on Image Processing and its Applications (IPA), Edinburgh, Scotland, 1995, pp781 - 785 Conference Paper, 1995

Quinn A., The Modelling of Signals and Systems amid Uncertainty: a Bayesian Perspective, Proceedings of the EURACO Workshop on Recent Results in Robust and Adaptive Control, Florence, Italy, 1995, pp514 - 531 Conference Paper, 1995

Quinn A., A New Objective Measure of Signal Complexity using Bayesian Inference, Proceedings of the Seventh IEEE Signal Processing Workshop on Statistical Signal and Array Processing (SSAP), Quebec City, Canada, 1994 Conference Paper, 1994

Quinn A., Prediction of the Asymptotic and Threshold Behaviour of Bayesian Signal Parameter Estimators, Signal Processing VII: Proceedings of the Seventh European Signal Processing Conference (EUSIPCO), The European Association for Signal Processing (EURASIP). Edinburgh, Scotland, 3, 1994, pp1839 - 1842 Conference Paper, 1994

The Objective Admission of Ockham's Razor by Marginalization in Bayesian Model-Based Inference in, Mathematics in Signal Processing III, Oxford University Press, 1994, pp339 - 357, [A. Quinn] Book Chapter, 1994

Quinn A., New Lower Bounds to the Variance of Signal Parameter Estimators using Bayesian Inference, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Adelaide, Australia, 4, 1994, pp493 - 496 Conference Paper, 1994

Quinn A., Censored Marginal a Posteriori Bayesian Inference for Signal Models, Proceedings of the IEEE Winter Workshop on Nonlinear Digital Signal Processing, Section 6.3, Tampere, Finland, 1993, pp5.1 - 5.6 Conference Paper, 1993

Quinn A., A consistent, numerically efficient Bayesian framework for combining the Selection, Detection and Estimation tasks in Model-Based Signal Processing, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Minneapolis, U.S.A., 4, 1993, pp65 - 68 Conference Paper, 1993

Quinn A., The Performance of Bayesian Estimators in the Superresolution of Signal Parameters, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), San Francisco, U.S.A., 5, 1992, pp297 - 300 Conference Paper, 1992

Quinn A., A Unified Approach to Model-Based Signal Processing using Bayesian Marginal Inference, Proceedings of the Sixth IEEE Signal processing Workshop on Statistical Signal and Array Processing (SSAP), Victoria, B.C., Canada, 1992 Conference Paper, 1992

Quinn A., Threshold-Free Bayesian Estimation using Censored Marginal Inference, Signal Processing VI: Proceedings of the Sixth European Signal Processing Conference (EUSIPCO), The European Association for Signal Processing (EURASIP), Brussels, Belgium, 2, 1992, pp677 - 680 Conference Paper, 1992

A. Quinn, A. M. dePaor and A. J. Murphy, The Sinusoidal Instantaneous Frequency Extractor: A New Instrument for use in Speech Therapy, Innovation et Technologie en Biologie et Médecine, 13, (6), 1992, p635 - 640 Journal Article, 1992

Quinn A., Macleod M. D., A Study of Joint and Marginal Bayesian Estimators for the Parameters of Periodic Signals in Gaussian White Noise, Proceedings of the IEEE International Conference on Communication Systems (ICCS), Section 27, Singapore, 1990, pp1.1 - 1.5 Conference Paper, 1990

Non-Peer-Reviewed Publications

A. Quinn, J. Murphy and A.M. de Paor, 'The Sinusoidal Instantaneous Frequency Extractor for Speech Therapy', Irish Patents Office , 1 October 1988 Patent, URL

Research Expertise

Description

Research expertise: Bayesian statistical theory & methods; Bayesian nonparametrics for robustness & flexible design; optimal decision making & estimation; signal processing; transfer machine learning; distributed knowledge processing in sensor networks; information-theoretic criteria; Bayesian inferential approximation; design of recursive algorithms for real-time signal processing & digital receiver design; image analysis (texture modelling & segmentation); computer-aided diagnosis for medicine; advisory system design. Research summary: Prof. Quinn has specialized in Bayesian methods for signal processing, system analysis & machine learning for twenty nine years. He works at the interface between electrical engineering, probability & statistics, and is among the few internationally with grounding jointly in electrical/information systems analysis & design, and in advanced statistical methodology. His current position as one-year Fulbright visiting scholar in the renowned Michael Jordan group in the Statistics Department at UC Berkeley reflects this, as do his invited lectures (UC Berkeley, UC Santa Cruz and UW Madison to date) in 2017. Bayesian methods focus on fully probabilistic settings for information-bearing processes/systems. Prof. Quinn focusses on Bayesian answers to fundamental problems. Rather than applications as primary goal, he applies his methods selectively. Typical outputs are therefore (a) fuller understanding of the assumptions underlying classical & empirical solutions (what he calls the `auditing property' of Bayesian methods), and (b) new designs arising out of Bayesian analysis (what he calls the `prescriptive property'). The following is a selective list of the `fundamental problems' above: (i) Objective assessment of parametric model complexity, leading to optimal trade-offs between parsimony and prediction; many publications in model order inference, signal detection, threshold-free parameter estimation, and automatic rank determination (ARD) in matrix decomposition. (ii) Design of recursive computational algorithms for flexible classes of observation models. These Bayesian algorithms - which can be hosted by computing hardware - provide attractive trade-offs between cost and accuracy. This is the central focus of Professor Quinn's (widely cited) 2006 Springer monograph with a former student, and related papers. (iii) Nonparametric Bayesian solutions for flexible model design and model-robust inference. Here, the model itself is inferred, without finite degrees-of-freedom constraints. (iv) Randomized design for knowledge processing and transfer learning. A number of major recent papers with his Czech collaborators address machine learning and decision making problems, processing knowledge specifications broader than the crisp data sets of signal processing. Designs are randomized, thereby allowing exploration, and circumventing the need for optimization. These contexts have been explored in selective applications. Respectively: (i) ARD led to improved reconstruction of noisy functional scintigraphic images of the human kidney; (ii) a novel variational Bayes filter-bank provided excellent smoothing of impulsively corrupted speech; in telecommunications, an iterative symbol detector for a digital receiver yielded improved performance over state-of-the-art Viterbi algorithm; (iii) a nonparametric stopping rule for sampling from unknown distributions revealed a new non-uniform quantizer design; and (iv) an application in distributed knowledge processing for sensor networks yielded a new way of pooling distributions, equipping it with error bounds and providing improved prediction; a new Bayesian transfer learning mechanism allowed external data from a patient population to be exploited, improving design of radio-iodine therapy for individual thyroid cancer patients.

Projects

  • Title
    • Collaboration with Univ. Paris V
  • Funding Agency
    • Forbairt/CNRS
  • Date From
    • 1995
  • Date To
    • 1998
  • Title
    • Visit S.U.N.Y.
  • Funding Agency
    • Forbairt
  • Date From
    • 1997
  • Title
    • Computer-Aided Diagnosis
  • Funding Agency
    • Forbairt
  • Date From
    • 1998
  • Date To
    • 1998
  • Title
    • High-Performance Computing Scholarship
  • Funding Agency
    • T.C.D./Queen's
  • Date From
    • 1998
  • Date To
    • 1998
  • Title
    • ProDaCTool (Phase I)
  • Funding Agency
    • ESPRIT (E.U.)
  • Date From
    • 1998
  • Date To
    • 1998
  • Title
    • Medical Imaging
  • Funding Agency
    • Provost's Fund
  • Date From
    • 1999
  • Date To
    • 1999
  • Title
    • ProDaCTool (Phase II)
  • Summary
  • Funding Agency
    • ESPRIT (E.U. Fifth Framework)
  • Date From
    • 2000
  • Date To
    • 2002
  • Title
    • Research Incentive Grant
  • Funding Agency
    • T.C.D.
  • Date From
    • 2001
  • Date To
    • date

Keywords

BAYESIAN INFERENCE; Bayesian signal and system identification; Bayesian signal processing in medicine and communications; Communication theory; Digital signal processing; Estimation; Image segmentation; Information theory; Probability theory; Signal Processing; Variational / stochastic approximations Bayesian inference

Recognition

Representations

Reviewer for international journals/publishers: . Very Active reviewer for many of the best journals in his field, such as the IEEE Transactions on Signal Processing, Image Processing, Information Theory, and Signal Processing Letters; IEE Proceedings on Vision, Image and Signal Processing; and Automatica. . Served on Editorial Board of Elsevier journal, "Signal Processing" (2011-12). . Was chosen as academic reviewer of the major textbook by MacMillan (2002), "Digital Signal Processing", Mulgrew, Grant and Thompson. 1993-date

Chair of the Irish Signals and Systems Conference, Trinity College Dublin, 2011: . Assembled an outstanding set of four international plenary speakers (Purdue University, University of Edinburgh, Aalborg University, MIT). . Single-handedly raised €10,200 from Irish technology companies to support the conference and see it safely into the future. . Inaugurated the Best Paper award and a Best Maths Paper award to encourage standards and interest in mathematical methods in Irish signals and systems research. . Organized innovative opening session on circuit design and implementation with aim of attracting delegates from the Irish Microelectronics Industry Design Association (MIDAS). The session was heavily attended by delegates from industry, with a very positive interchange between them and the industry and academic delegations. 2011

Technical/Scientific Programme Committee membership and service: . EURASIP European Signal Processing Conference (2012-15). . International Conference on New Computational Methods for Inverse Problems, Cachan, France (2011-17). . Irish Signals and Systems Conference (ISSC) Steering Committee (1998-2017). Extensive reviewing work for the IEEE International Conference on Image Processing (regularly since 2002). 1998-date

Review work/invitations for International Funding Agencies: . Czech National Funding Agency (GAČR) (2009, 2012, 2015, 2016) . French Research Agency (CNRS) (2012) . Vienna Science and Technology Fund (2007) . European Commission ERC scheme (2016) 2009-2016

External PhD Examiner, in the French language, at the École Normale Supérieure (Supélec), Paris, in both 2010 and 2012. 2010, 2012

Awards and Honours

Fulbright Scholar and Visiting Scholar at the Statistics Department, University of California, Berkeley 2016-17

Fellow of Trinity College Dublin (FTCD) 2008

First Prize for the best publication in the Theory of Information and Automation, Czech Academy of Sciences, for the monograph: 'The Variational Bayes Method in Signal Processing', Smidl, V. and Quinn, A., Springer 2006 2007

Memberships

Member of the IEEE 1991 – 2013

Member of the International Society for Bayesian Analysis (ISBA) 2008 – 2015

Fulbright Alumni Association 2016 – present