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Dr. Rozenn Dahyot

Associate Professor (Statistics)

 dahyotr@tcd.ie

 


Biography

Dr.Ing. Rozenn Dahyot received a BSc in Physics (1996), a MSc in Image Processing (Diplome d Etudes approfondies 1998) from the University of Louis Pasteur and a MSc from Telecom Physique Strasbourg (diplome d' ingénieur 1998, France). Supported by a scholarship (1998-2001) from the Laboratoire des Ponts et Chaussées (www.lcpc.fr), she received a PhD degree from the Université Louis Pasteur Strasbourg in 2001, developing new algorithms for robust detection and recognition of objects in road scene image databases, for the management and safety of the road network. From 2002 to 2005, she worked as a Research Fellow on several European Projects in Trinity College Dublin (Ireland) and in Cambridge University (UK). She is an associate professor in Statistics in the school of Computer Science and Statistics, and an investigator with the Adapt centre, leading several (EU, EI, SFI funded) projects in Artificial Intelligence. She is the President of the Irish Pattern Recognition and Classification Society (iprcs.org) and the general chair organizing the European signal Processing Conference in Dublin in 2021 (https://eusipco2021.org/).

Research Tags

  Applied Mathematics   Applied Sciences   Artificial Intelligence   Computer aided engineering   Computer Graphics & Vision   Computer Science/Engineering   Computer Vision   Computer vision and robotics   Data Analysis   Databases, database management, data mining   Engineering Statistics   Image Processing   Imaging, image processing   Mathematics   Multimedia   Numerical analysis   Numerical Models   Parallel Algorithms   Parallel Programming   Pattern Recognition   Probability   Random Fields   Signal Analysis   Signal processing   Signal, Video & Audio Processing   Sound Engineering   Statistics   Stochastic Processes

Research Projects

 AIMapIT
  OSI Object detection in Aerial Imagery
 SFI/NSF I-Corps@SFI Entrepreneurial Training Programme
 Innovation voucher with Geowox
 AIMapIt Commercial Feasibility

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Representations

Details Date
President Irish Pattern Recognition and Classification Society 2014-now

Languages

Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
French Fluent Fluent Fluent

Memberships

Membership of Professional Institutions, Associations, Societies

Details Date From Date To
IEEE member 01/2020
European Association for Signal Processing (EURASIP) 09/2012
International Federation of Classification Societies (IFCS) Role: IPRCS representative on IFCS Council 01/2007
Irish Pattern Recognition and Classification Society (IPRCS) 01/2002
Irish Statistical Association (ISA) 05/2009
member of the Statistical Modelling Society 07/2006 07/2007
International Association for Pattern Recognition
Krylov V.A, Dahyot R, Object Geolocation from Crowdsourced Street Level Imagery, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11329, 2019, p79-83 , Journal Article, PUBLISHED  DOI  URL
Ahmad K, Pogorelov K, Riegler M, Ostroukhova O, Halvorsen P, Conci N, Dahyot R, Automatic detection of passable roads after floods in remote sensed and social media data, Signal Processing: Image Communication, 74, 2019, p110 - 118, Journal Article, PUBLISHED  DOI  URL
Grogan M, Dahyot R, L 2 Divergence for robust colour transfer, Computer Vision and Image Understanding, 181, 2019, p39 - 49, Journal Article, PUBLISHED  DOI  URL
, AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools, HiPEAC 2019 workshop Emerging Deep Learning Accelerator, 2019, Journal Article, PUBLISHED
, Automatic detection of passable roads after floods in remote sensed and social media data, Signal Processing: Image Communication, 2019, Journal Article, PUBLISHED
, L2 Divergence for robust colour transfer, Computer Vision and Image Understanding, 2019, Journal Article, PUBLISHED
, Object Geolocation from Crowdsourced Street Level Imagery, ECML PKDD 2018 Workshops, 2019, Journal Article, PUBLISHED
, Harmonic Networks with Limited Training Samples, 2019 27th European Signal Processing Conference (EUSIPCO), 2019, Journal Article, PUBLISHED
, Mini-Batch VLAD for Visual Place Retrieval, 2019 30th Irish Signals and Systems Conference (ISSC), 2019, Journal Article, PUBLISHED
, Patch-Based Colour Transfer with Optimal Transport, 2019 27th European Signal Processing Conference (EUSIPCO), 2019, Journal Article, PUBLISHED
  

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J. Byrne, J. Connelly, J. Su, V. Krylov, M. Bourke, D. Moloney & R. Dahyot, Trinity College Dublin Drone Survey Dataset, 2017, School of Computer Science & Statistics, Trinity College Dublin, 2017, Dataset, PUBLISHED

  

Awards and Honours

Award Date
Best Paper prize (student) for paper "Mini-Batch VLAD for Visual Place Retrieval" at Irish Signal and Systems Conference with R. Aljuaidi (student) and J. Su 2019
Awarded NVIDIA GPU Grant (donation of 2 Titan Xp cards) 2018
Short listed to AI Award for Outstanding Academic Achievement of the Year with SFI ADAPT centre & TCD 2018
Named as One of Ireland's champions of EU Research by John Halligan TD, Minister of State for Training, Skills, Innovation, Research and Development with Julie Sinnamon, CEO of Enterprise Ireland. 2017
Certificate of Outstanding Contribution in Reviewing Pattern Recognition (Elsevier) 2017
Best Paper Award for "User Interaction for Image Recolouring using L2" at Conference Visual Media Production, with M. Grogan & A. Smolic (CVMP, London 2017) 2017
Short listed to for Outstanding Academic Achievement of the Year Technology Ireland Awards for "Street View Object Detection and Mapping", with SFI ADAPT centre & TCD 2017
Prize for the Best Student Poster Awarded to Mairead Grogan and rozenn Dahyot for their paper presented at Conference Visual Media Production (2015 London) 2015
Google Research Award ($50,000) 2007
M.A. jure officii (honorary), Trinity College Dublin Ireland 2015
Best poster presentation, International Workshop on Statistical Modelling 07/2006

Research Interests

Description Of Research Interests

My research interests are in between the traditional fields of Electronic and electrical engineering (digital signal processing), Computer Science (computer vision & graphics), artificial intelligence (data mining, machine learning) and Mathematics (Statistics, Information theory, decision theory, functional analysis).