Visualisation Data Modelling Graphics (VDMG) at Bangor

Jonathan C. Roberts; Panagiotis D. Ritsos; Ludmila Kuncheva; Franck Vidal; Ik Soo Lim; Llyr Ap Cenydd; William Teahan; Saad Mansoor; Cameron Gray; Dave Perkins

Visualisation Data Modelling Graphics (VDMG) at Bangor

Ysgol Cyfrifiadureg a Pheirianneg

Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

433 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

The Visualisation Data Modelling and Graphics (VDMG) research group at Bangor University brings together researchers in visualisation, modelling, data-mining and Artificial Intelligence. Our vision is to help people understand data, depict it visually and deliver enjoyable experiences. We design, develop and evaluate computing solutions that often incorporate AI, machine learning, interaction, underpinned with advanced computing, and are always user-focused. Located in Bangor University – a civic University on the North Wales shoreline that is close to the Snowdonia mountain range and National Park – much of our research is inspired by nature, motivated to be sustainable, and people focused.

Iaith wreiddiol	Saesneg
Nifer y tudalennau	2
Statws	Cyhoeddwyd - Mai 2021
Digwyddiad	Eurographics 2021: Eurographics’2021, the 42nd Annual Conference of the European Association for Computer Graphics - Austria, Vienna, Awstria Hyd: 3 Mai 2021 → 7 Mai 2021 Rhif y gynhadledd: 42 https://conferences.eg.org/eg2021/

Cynhadledd

Cynhadledd	Eurographics 2021
Teitl cryno	EG2021
Gwlad/Tiriogaeth	Awstria
Dinas	Vienna
Cyfnod	3/05/21 → 7/05/21
Cyfeiriad rhyngrwyd	https://conferences.eg.org/eg2021/

Allweddeiriau

Delweddu
Delweddu gwybodaeth
Delweddu Gwyddonol
Rhyngweithio â Chyfrifiaduron Dynol
Graffeg gyfrifiadurol
Gemau cyfrifiadurol
Deallusrwydd artiffisial
cloddio data
Modelu
animeiddio cyfrifiadurol
realiti rhithwir
realiti estynedig
adnabod patrymau
dysgu peirianyddol
uwchgyfrifiadura
dadansoddeg dysgu
asiantau deallus
dyluniad rhyngwyneb
dyluniad ffyddlondeb isel
graffeg feddygol
amgylcheddau rhithwir
peirianneg gwybodaeth
data mawr

Mynediad at Ddogfen

Visualisation Data Modelling Graphics Group, CSEE, BangorLlawysgrif awdur wedi’i dderbyn, 1.27 MB

Ffeiliau eraill a chysylltiadau

1 Wrthi'n gweithredu
14 Wedi Gorffen

BODAH (EAPA_936/2018)
Ritsos, P. (PY)
1/01/19 → 31/12/99
Project: Ymchwil
RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19
Vidal, F. (PY)
1/02/21 → 1/08/22
Project: Ymchwil
Learning analytics project
Perkins, D. (PY)
1/02/19 → 1/08/22
Project: Ymchwil

24 Erthygl
13 Papur
9 Cyfraniad i Gynhadledd
3 Murlen
Mwy

Data Meets Creativity: Authentic Learning through Data Art Design and Exhibition
Roberts, J. C., 20 Mai 2025, (E-gyhoeddi cyn argraffu) Yn: Computers and Graphics. 19 t., 104248.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
49 Wedi eu Llwytho i Lawr (Pure)
Challenges and Opportunities in Data Visualization Education: A Call to Action
Bach, B., Keck, M., Rajabiyazdi, F., Losev, T., Meirelles, I., Dykes, J., Laramee, R. S., AlKadi, M., Stoiber, C., Huron, S., Perin, C., Morais, L., Aigner, W., Kosminsky, D., Boucher, M., Knudsen, S., Manataki, A., Aerts, J., Hinrichs, U. & Roberts, J. C. & 1 eraill, Carpendale, S., Ion 2024, Yn: IEEE Transactions on visualization and computer graphics. 30, t. 649-660 12 t.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
79 Wedi eu Llwytho i Lawr (Pure)
Creating Data Art: Authentic Learning and Visualisation Exhibition
Roberts, J. C., 12 Medi 2024. 9 t.
Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

Mynediad agored
Ffeil

1 Cymryd rhan mewn cynhadledd Academaidd
1 Arall

Data Meets Creativity: The Data Art 2025 Exhibition
Roberts, J. (Cyfrannwr)
12 Mai 2025 → 2 Meh 2025
Gweithgaredd: Arall
EduVis : Workshop on Visualization Education, Literacy, and Activities
Keck, M. (Cadeirydd), Huron, S. (Cadeirydd), Panagiotidou, G. (Cadeirydd), Stoiber, C. (Cadeirydd), Rajabiyazdi, F. (Cadeirydd), Perin, C. (Cadeirydd), Roberts, J. (Cadeirydd) & Bach, B. (Cadeirydd)
22 Hyd 2023 → 27 Hyd 2023
Gweithgaredd: Cymryd rhan mewn digwyddiad neu drefnu digwyddiad › Cymryd rhan mewn cynhadledd Academaidd

Best Short Paper (the David Duce award) for: Towards Developing a Digital application for the Five Design-Sheets Methodology
Owen, A. (Derbynydd) & Roberts, J. (Derbynydd), 16 Medi 2022
Gwobr: Anrhydedd genedlaethol/ryngwladol

Ffeil
David Duce Prize for the Best Short Paper
Sujar Garrido, A. (Derbynydd), Kelly, G. (Derbynydd), Garcia, M. (Derbynydd) & Vidal, F. (Derbynydd), 13 Medi 2019
Gwobr: Gwobr (gan gynnwys medalau a gwobrau)
News Bunny
Vidal, F. (Derbynydd), 23 Ion 2020
Gwobr: Gwobr (gan gynnwys medalau a gwobrau)

Advances in procedural animation for Virtual Reality [REF2021]
Ap Cenydd, L. (Cyfranogwr) & Teahan, W. (Cyfranogwr)
Effaith: Technegol, Ansawdd Bywyd / Iechyd
Computing Teacher Upskilling
Perkins, D. (Cyfranogwr)
Effaith: Cymdeithasol
Design Methods for Computing (including Five Design-Sheets)
Roberts, J. (Cyfranogwr), Ritsos, P. (Cyfranogwr) & Headleand, C. (Cyfranogwr)
Effaith: Technegol

EG 2011 Welsh Dragon dataset - 3d model
Roberts, J. (Lluniwr) & John, N. W. (Lluniwr), Prifysgol Bangor University, Rhag 2010
http://eg2011.bangor.ac.uk/dragon/Welsh-Dragon.html
Set ddata

Ffeil
ColloCaid Sample Data
Frankenberg-Garcia, A. (Lluniwr), Rees, G. (Lluniwr), Lew, R. (Lluniwr), Roberts, J. (Arall) & Butcher, P. (Arall), Figshare, 31 Hyd 0002
https://figshare.com/articles/dataset/ColloCaid_Sample_Data/13028207
Set ddata

A conceptual e-learning system for teaching mathematics
Alghurabi, Y. (Awdur), Teahan, W. (Goruchwylydd), Ion 2017
Traethawd ymchwil myfyriwr: Doethur mewn Athroniaeth

Ffeil
Adaptive models of Arabic text
Alhawiti, K. (Awdur), Teahan, W. (Goruchwylydd), 29 Maw 2014
Traethawd ymchwil myfyriwr: Doethur mewn Athroniaeth

Ffeil
Analysing and Correcting Dyslexic Arabic Texts
Alamri, M. (Awdur), Teahan, W. (Goruchwylydd), 12 Tach 2019
Traethawd ymchwil myfyriwr: Doethur mewn Athroniaeth

Ffeil

Dyfynnu hyn

@conference{356aa041598b49dbb6523a92632af2e8,

title = "Visualisation Data Modelling Graphics (VDMG) at Bangor",

abstract = "The Visualisation Data Modelling and Graphics (VDMG) research group at Bangor University brings together researchers in visualisation, modelling, data-mining and Artificial Intelligence. Our vision is to help people understand data, depict it visually and deliver enjoyable experiences. We design, develop and evaluate computing solutions that often incorporate AI, machine learning, interaction, underpinned with advanced computing, and are always user-focused. Located in Bangor University – a civic University on the North Wales shoreline that is close to the Snowdonia mountain range and National Park – much of our research is inspired by nature, motivated to be sustainable, and people focused.",

keywords = "Visualisation, Information Visualisation, Scientific Visualisation, Human Computer Interaction, Computer Graphics, Computer Games, Artificial intelligence, Data Mining, Modelling, Computer Animation, Virtual Reality, Extended Reality, Pattern Recognition, Machine Learning, Supercomputing, Learning Analytics, Intelligent Agents, Interface design, Low-fidelity design, Medical Graphics, Virtual Environments, Information Engineering, Big Data, Delweddu, Delweddu gwybodaeth, Delweddu Gwyddonol, Rhyngweithio {\^a} Chyfrifiaduron Dynol, Graffeg gyfrifiadurol, Gemau cyfrifiadurol, Deallusrwydd artiffisial, cloddio data, Modelu, animeiddio cyfrifiadurol, realiti rhithwir, realiti estynedig, adnabod patrymau, dysgu peirianyddol, uwchgyfrifiadura, dadansoddeg dysgu, asiantau deallus, dyluniad rhyngwyneb, dyluniad ffyddlondeb isel, graffeg feddygol, amgylcheddau rhithwir, peirianneg gwybodaeth, data mawr",

author = "Roberts, \{Jonathan C.\} and Ritsos, \{Panagiotis D.\} and Ludmila Kuncheva and Franck Vidal and Lim, \{Ik Soo\} and \{Ap Cenydd\}, Llyr and William Teahan and Saad Mansoor and Cameron Gray and Dave Perkins",

note = "The Visualisation, Data, Modelling and Graphics research group (VDMG) sits within the School of Computer Science and Electronic Engineering, at Bangor University. The VDMG brings together researchers in pattern recognition, data mining, AI, scientific and information visualisation, virtual reality and extended reality. It was formed after the merger of the Visualisation Modelling Graphics (VMG) group, Artificial and Intelligent Agents group, and Pattern Recognition and Machine Learning research groups.; Eurographics 2021 : Eurographics{\textquoteright}2021, the 42nd Annual Conference of the European Association for Computer Graphics, EG2021 ; Conference date: 03-05-2021 Through 07-05-2021",

year = "2021",

month = may,

language = "English",

url = "https://conferences.eg.org/eg2021/",

}

TY - CONF

T1 - Visualisation Data Modelling Graphics (VDMG) at Bangor

AU - Roberts, Jonathan C.

AU - Ritsos, Panagiotis D.

AU - Kuncheva, Ludmila

AU - Vidal, Franck

AU - Lim, Ik Soo

AU - Ap Cenydd, Llyr

AU - Teahan, William

AU - Mansoor, Saad

AU - Gray, Cameron

AU - Perkins, Dave

N1 - Conference code: 42

PY - 2021/5

Y1 - 2021/5

N2 - The Visualisation Data Modelling and Graphics (VDMG) research group at Bangor University brings together researchers in visualisation, modelling, data-mining and Artificial Intelligence. Our vision is to help people understand data, depict it visually and deliver enjoyable experiences. We design, develop and evaluate computing solutions that often incorporate AI, machine learning, interaction, underpinned with advanced computing, and are always user-focused. Located in Bangor University – a civic University on the North Wales shoreline that is close to the Snowdonia mountain range and National Park – much of our research is inspired by nature, motivated to be sustainable, and people focused.

AB - The Visualisation Data Modelling and Graphics (VDMG) research group at Bangor University brings together researchers in visualisation, modelling, data-mining and Artificial Intelligence. Our vision is to help people understand data, depict it visually and deliver enjoyable experiences. We design, develop and evaluate computing solutions that often incorporate AI, machine learning, interaction, underpinned with advanced computing, and are always user-focused. Located in Bangor University – a civic University on the North Wales shoreline that is close to the Snowdonia mountain range and National Park – much of our research is inspired by nature, motivated to be sustainable, and people focused.

KW - Visualisation

KW - Information Visualisation

KW - Scientific Visualisation

KW - Human Computer Interaction

KW - Computer Graphics

KW - Computer Games

KW - Artificial intelligence

KW - Data Mining

KW - Modelling

KW - Computer Animation

KW - Virtual Reality

KW - Extended Reality

KW - Pattern Recognition

KW - Machine Learning

KW - Supercomputing

KW - Learning Analytics

KW - Intelligent Agents

KW - Interface design

KW - Low-fidelity design

KW - Medical Graphics

KW - Virtual Environments

KW - Information Engineering

KW - Big Data

KW - Delweddu

KW - Delweddu gwybodaeth

KW - Delweddu Gwyddonol

KW - Rhyngweithio â Chyfrifiaduron Dynol

KW - Graffeg gyfrifiadurol

KW - Gemau cyfrifiadurol

KW - Deallusrwydd artiffisial

KW - cloddio data

KW - Modelu

KW - animeiddio cyfrifiadurol

KW - realiti rhithwir

KW - realiti estynedig

KW - adnabod patrymau

KW - dysgu peirianyddol

KW - uwchgyfrifiadura

KW - dadansoddeg dysgu

KW - asiantau deallus

KW - dyluniad rhyngwyneb

KW - dyluniad ffyddlondeb isel

KW - graffeg feddygol

KW - amgylcheddau rhithwir

KW - peirianneg gwybodaeth

KW - data mawr

UR - https://conferences.eg.org/eg2021/

UR - https://www.bangor.ac.uk/computer-science-and-electronic-engineering/index.php.en

UR - http://vmg.cs.bangor.ac.uk/

M3 - Paper

T2 - Eurographics 2021

Y2 - 3 May 2021 through 7 May 2021

ER -

Visualisation Data Modelling Graphics (VDMG) at Bangor

Crynodeb

Cynhadledd

Allweddeiriau

Mynediad at Ddogfen

Ffeiliau eraill a chysylltiadau

Ôl bys

Prosiectau

Allbwn Ymchwil

Gweithgareddau

Gwobrau

Effeithiau

Setiau Data

Traethodau Ymchwil Myfyriwr

Dyfynnu hyn