Catarina Maçãs

Catarina Maçãs is an invited Assistant Professor at the Department of Informatics Engineering of the University of Coimbra and a computational designer and researcher at the Computational Design and Visualization Lab. of the Centre for Informatics and Systems of the same university. She holds a PhD in Information Science and Technology from the University of Coimbra and also holds a MSc and BS in Design and Multimedia from the same university.

Her main research area is Information Visualization and her interests lie on information visualization, aesthetics, computational art and design, graphic design, evolutionary computation, and bio-inspired computation. Particularly, she is interested in exploring the space between Data Visualization and Information Aesthetics, in creating and exploring new models of visualization, and in contributing for a better understanding of evolutionary mechanisms. Furthermore, she has authored and co-authored several articles on the different International Conferences and journals on Information Visualization and Artificial Intelligence and is enrolled in international projects concerning Information Visualization, Evolutionary Computation, and Data Science.

Email: cmacas@dei.uc.pt
ORCID: 0000-0003-2638-237X
Google Scholar: link
ResearchGate: link

Related projects

27/04/2022

ATOVis—a Visualization Tool for the Detection of Financial Fraud

21/10/2021

Time-series Visualization at OutSystems

13/10/2021

FCTUC Day, celebrating 249 years

24/07/2021

CDV @ Romaria Cultural 2021

01/04/2021

Visual Analytics for Fraud Detection

29/09/2020

CDV Talking: Visualization of Time Oriented Data

03/08/2020

VaBank — Visual Analytics for Banking Transactions

09/01/2020

GlyphSOMe — Using SOM with Data Glyphs for Customer Profiling

14/08/2019

typEm — Adapting a Typeface to Text Emotions

24/07/2019

AlticeVis – Study and Visualisation of Urban Mobility

14/09/2018

Interactive Evolution of Swarms for the Visualisation of Consumptions

20/06/2018

Fashion Meets Darwin: Evolution Towards Your Own Taste

11/06/2018

Radial Calendar of Consumption

04/06/2018

Consumption as a Rhythm

30/05/2018

MixMash, a Visualisation System for Musical Mashup Creation

17/02/2017

EvoFashion: Customising Fashion Through Evolution

19/12/2016

Hexagonal Gridded Maps and Information Layers: an Approach for the Exploration and Analysis of Retail Data

06/10/2016

Iso-edges for the geovisualization of consumptions

23/04/2016

The Rhythm of Consumption

20/04/2015

Swarm Systems in the Visualisation of Consumption Patterns

29/01/2015

Calendar Views on Consumption

27/01/2015

Transitions of Customers Among Supermarkets

Articles

  • C. Maçãs, E. Polisciuc, and P. Machado, “ATOVis – A visualisation tool for the detection of financial fraud,” Information Visualization, p. 14738716221098074, 2022.

  • C. Maçãs, N. Lourenço, and P. Machado, “Evolving visual artefacts based on consumption patterns,” International Journal of Arts and Technology, vol. 12, iss. 1, p. 60, 2020.

  • C. Maçãs, A. Rodrigues, G. Bernardes, and P. Machado, “MixMash: An Assistive Tool for Music Mashup Creation from Large Music Collections,” IJACDT, vol. 8, iss. 2, pp. 20-40, 2019.

In Books

  • C. Maçãs, E. Polisciuc, and P. Machado, “Visualization and Self-Organising Maps for the Characterisation of Bank Clients,” in Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, B. Kovalerchuk, K. Nazemi, R. Andonie, N. Datia, and E. Banissi, Eds., Cham: Springer International Publishing, 2022, pp. 255-287.

In Collections

  • C. Maçãs and P. Machado, “The Rhythm of Consumptions,” in IEEE VIS Arts Program, Baltimore, EUA: , 2016.

In Proceedings

  • P. Silva, C. Maçãs, J. Correia, P. Machado, and E. Polisciuc, “ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone Data,” in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – IVAPP, 2022, pp. 88-100.

  • P. Silva, C. Maçãs, E. Polisciuc, and P. Machado, “Visualisation Tool to Support Fraud Detection,” in Proceedings of the 25th International Conference Information Visualisation (IV), 2021.

  • C. Maçãs, E. Polisciuc, and P. Machado, “GlyphSOMe: Using SOM with Data Glyphs for Customer Profiling,” in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Volume 3: IVAPP, Valletta, Malta, February 27-29, 2020, 2020, pp. 301-308.

  • C. Maçãs, E. Polisciuc, and P. Machado, “VaBank: Visual Analytics for Banking Transactions,” in 24th International Conference Information Visualisation, IV 2020, Melbourne, Australia, September 7-11, 2020, 2020, p. 336–343.

  • C. Maçãs, D. Palma, and A. Rebelo, “TypEm: A Generative Typeface That Represents the Emotion of the Text,” in Proceedings of the 9th International Conference on Digital and Interactive Arts, New York, NY, USA, 2019.

  • C. Maçãs, A. Rodrigues, G. Bernardes, and P. Machado, “MixMash: A Visualisation System for Musical Mashup Creation,” in 22nd International Conference Information Visualisation, IV 2018, Fisciano, Italy, July 10-13, 2018, 2018, pp. 471-477.

  • C. Maçãs, P. Martins, and P. Machado, “Consumption as a Rhythm: A Multimodal Experiment on the Representation of Time-Series,” in 22nd International Conference Information Visualisation, IV 2018, Fisciano, Italy, July 10-13, 2018, 2018, pp. 504-509.

  • C. Maçãs and P. Machado, “Radial Calendar of Consumption,” in 22nd International Conference Information Visualisation, IV 2018, Fisciano, Italy, July 10-13, 2018, 2018, pp. 96-102.

  • C. Maçãs, N. Lourenço, and P. Machado, “Interactive Evolution of Swarms for the Visualisation of Consumptions,” in Interactivity, Game Creation, Design, Learning, and Innovation – 7th EAI International Conference, ArtsIT 2018, and 3rd EAI International Conference, DLI 2018, ICTCC 2018, Braga, Portugal, October 24-26, 2018, Proceedings, 2018, pp. 101-110.

  • N. Lourenço, F. Assunção, C. Maçãs, and P. Machado, “EvoFashion: Customising Fashion Through Evolution,” in International Conference on Evolutionary and Biologically Inspired Music and Art, 2017.

  • E. Polisciuc, P. Cruz, C. Maçãs, H. Amaro, and P. Machado, “Flow Map of Products Transported among Warehouses and Supermarkets,” in Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016, pp. 177-186.

  • C. Maçãs and P. Machado, “The Rhythm of Consumptions,” in Expressive 2016 – Proceedings of the Joint Symposium Expressive 2016, co-located with the Eurographics 2016, 2016.

  • E. Polisciuc, C. Maçãs, F. Assunção, and P. Machado, “Hexagonal Gridded Maps and Information Layers: A Novel Approach for the Exploration and Analysis of Retail Data,” in SIGGRAPH ASIA 2016 Symposium on Visualization, New York, NY, USA, 2016, p. 6:1–6:8.

  • C. Maçãs, P. Cruz, E. Polisciuc, H. Amaro, and P. Machado, “Iso-edges for the Geovisualization of Consumptions,” in IVAPP 2016 – Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016, pp. 220-227.

  • C. Maçãs, P. Cruz, H. Amaro, E. Polisciuc, T. Carvalho, F. Santos, and P. Machado, “Time-series Application on Big Data – Visualization of Consumption in Supermarkets,” in IVAPP 2015 – Proceedings of the 6th International Conference on Information Visualization Theory and Applications, Berlin, Germany, 11-14 March, 2015., 2015, pp. 239-246.

  • E. Polisciuc, P. Cruz, H. Amaro, C. Maçãs, T. Carvalho, F. Santos, and P. Machado, “Arc and Swarm-based Representations of Customer’s Flows among Supermarkets,” in IVAPP 2015 – Proceedings of the 6th International Conference on Information Visualization Theory and Applications, Berlin, Germany, 11-14 March, 2015., 2015, pp. 300-306.

  • C. Maçãs, P. Cruz, P. Martins, and P. Machado, “Swarm Systems in the Visualization of Consumption Patterns,” in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015, pp. 2466-2472.