Dino Sejdinovic
Brunel Fellow
Department of Mathematics
University of Bristol




Contact:
4.13 School of Mathematics
University Walk
Bristol, BS8 1TW, UK
Tel: +44 (0)117 928-9811
Email:
dino DOT sejdinovic AT gmail DOT com

   
       
       

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I am a Brunel Postdoctoral Fellow funded by the SuSTaIn initiative at the Statistics Group of the Department of Mathematics, University of Bristol. I completed my PhD in Electrical and Electronic Engineering at the Centre for Communications Research, Department of Electrical and Electronic Engineering, University of Bristol in 2009. My PhD project was sponsored by Toshiba Research Europe Ltd. Before that, in 2006, I received a Dipl.Math.-Inf. degree in mathematics and theoretical computer science from University of Sarajevo, Bosnia and Herzegovina.

News

In November 2011, I will be joining Gatsby Computational Neuroscience Unit, UCL as a Postdoctoral Fellow.

[July 13-14, 2011] Visiting Dept of Electrical and Electronic Engineering, Imperial College London
[February 16-18, 2011] Visiting Hausdorff Center for Mathematics, University of Bonn
[January 6-7, 2011] At the SMALL Workshop on Sparse Dictionary Learning, Queen Mary University of London
[December 2, 2010] I gave a talk on Bayesian sequential compressed sensing at the Dept of Statistics, University of Oxford
[October 4-7, 2010] Visiting University of Illinois at Urbana-Champaign
[September 29 - October 1, 2010] At the Allerton Conference on Communication, Control, and Computing, Monticello, IL
[June 16-18, 2010] At the SuSTaIn Workshop on Sparse Structures: Statistical Theory and Practice

Research Interests

sparse estimation, Bayesian compressed sensing, sequential compressed sensing, greedy algorithms for compressed sensing, group testing and compressed genotyping

message passing algorithms, approximate inference in graphical models, learning in graphical models, belief propagation, survey propagation

Bayesian modelling, Markov chain Monte Carlo and sequential Monte Carlo statistical methods

entropy estimation, nonparametric changepoint detection

coding theory, sparse graph codes, rateless (fountain) codes, code design and optimization, density evolution

network information theory, distributed source coding and joint source-channel coding, distributed rateless coding, scalable multimedia multicasting

network coding, coding for wireless sensor, ad hoc and relay networks, low complexity network coding

Reading group

I coordinate the meetings of the cross-departmental reading group on Information & Communications Theory. We meet on Fridays to read and discuss recent papers relevant to the topics in information theory and wireless communications. If you wish to be added to the mailing list of the reading group in order to receive reminders of the upcoming meetings and papers, please let me know.

Collaborators

Christophe Andrieu, Oliver Johnson, Rob Piechocki, Angela Doufexi, Mohamed Ismail, Dejan Vukobratovic, Vladimir Stankovic, Lina Stankovic (Fagoonee), Vishakan Ponnampalam, Zixiang Xiong, Vojin Senk.