Nivan Ferreira
Professor Adjunto (Assistant Professor)
Centro de Informatica
Universidade Federal de Pernambuco
E-mail: nivan@cin.ufpe.br
CV Lattes Platform
Google Scholar, ORCID
Nivan Ferreira Professor Adjunto (Assistant Professor) |
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| About | ||
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I'm a professor working in the Centro de Informatica at the Universidade Federal de Pernambuco. I am part of the CIn.AI research group. I finished my Ph.D. NYU-Polytechnic School of Engineering under the supervision of Claudio Silva. My thesis on visual analytics techniques for exploration of spatiotemporal data can be found here. I also have been a visiting professor at Université Paris-Saclay (2022) working with the Aviz Group and Postdoctoral scholar with the HDC Group at the University of Arizona (2015). My research focuses on information visualization and visual analytics. I'm also very interested on machine learning and applied mathematics. |
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| News | ||
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10-Nov-2023 --- Our paper Visual Analytics for Profiling Land Use Changes has received an Honorable Mention Award at SIBGRAPI 2023. 03-Oct-2023 --- Our paper Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips has received the Test of Time Award at VIS 2023. 03-Oct-2023 --- Our paper The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics has been accepted at VIS 2023. 03-Oct-2023 --- Our paper MoReVis: A Visual Summary for Spatiotemporal Moving Regions published at IEEE TVCG has been invited for presentation at VIS 2023. 03-Oct-2023 --- Our paper A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics has been accepted at VIS 2022. |
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| Research Interests | ||
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My research focuses on information visualization and visual analytics. I'm also very interested on machine learning and applied mathematics. Check out my Google Scholar profile. |
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| Main Publications |  |
Visual Analytics for Profiling Land Use Changes
C. Santos, M. Hosseini, J. Rulff, F. Miranda, L. Wilson, C. Silva, N. Ferreira, M. Lage SIBGRAPI, 2023 Links: PDF |
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The Urban Toolkit: A Grammar-based Framework for Urban Visual Analytics
G. Moreira, M. Hosseini, M.N.A. Nipu, M. Lage, N. Ferreira, F. Miranda IEEE VIS, 2023 Links: Project Website |
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MoReVis: A Visual Summary for Spatiotemporal Moving Regions
Giovani Valdrighi, Nivan Ferreira, Jorge Poco IEEE TVCG, 2023 Links: Paper |
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A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics
Roberta Mota, Fabio Miranda, Julio Daniel Silva, Marius Horga, Marcos Lage, Luis Ceferino, Usman Alim, Ehud Sharlin, Nivan Ferreira IEEE VIS 2022 Links: Paper, Arxiv, Video |
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QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil
Juan Ipenza, Noemi Romero, Melina Loreto, Nivan Ferreira, João Comba Applied Soft Computing, 2022 Paper: PDF |
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UrbanRama: Navigating Cities in Virtual Reality
Shaoyu Chen, Fabio Miranda, Nivan Ferreira, Marcos Lage, Harish Doraiswamy, Corinne Brenner, Connor Defanti, Michael Koutsoubis, Luc Wilson, Ken Perlin, Claudio Silva IEEE TVCG, 2021 Paper: PDF, Video |
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A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning, 2021
Raphael Dourado, Rodrigo Lins, Nivan Ferreira, Rafael Mello, Alex Sandro Gomes, Katrien Verbert International Conference on Learning Analytics and Knowledge (LAK21) Paper: PDF |
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A City Cluster Risk-based Approach for Sars-CoV-2 and Isolation Barriers based on Anonymized Mobile Phone Users' Location Data, 2021
Julio Cezar Soares, Diogo Ferreira, Afonso Delgado, Andre Ferraz, Jose Luciano Melo, Nivan Ferreira, Adiel Teixeira Filho Sustainable Cities and Society |
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Real-Time Exploration of Large Spatiotemporal Datasets based on Order Statistics
Cicero Pahins, Nivan Ferreira, João Comba IEEE TVCG 2019. Paper: PDF. |
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Gaussian Cubes: Real-Time Modeling for Visual Exploration of Large Multidimensional Datasets
Zhe Wang, Aarthy Bhaskar, Youhao Wei, Nivan Ferreira, Carlos Scheidegger IEEE InfoVis 2016, Baltimore, USA. Paper: PDF Video: video |
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Topology-based Catalogue Exploration Framework for Identifying View-Enhanced Tower Designs
Harish Doraiswamy, Nivan Ferreira, Marcos Lage, Huy Vo, Luc Wilson, Heidi Werner, Muchan Park, Claudio Silva SIGGRAPH Asia 2015, Kobe, Japan. Paper: PDF Video: video |
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Urbane: A 3D Framework to Support Data Driven Decision Making in Urban Development
Nivan Ferreira, Marcos Lage, Harish Doraiswamy, Huy Vo, Luc Wilson, Heidi Werner, Muchan Park, Claudio Silva IEEE VAST 2015, Chicago, USA. Paper: PDF Video: video | |
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Using Topological Analysis to Support Event-Guided Exploration in Urban Data
Harish Doraiswamy, Nivan Ferreira, Theo Damoulas,Juliana Freire, Claudio Silva IEEE Transactions on Visualization and Computer Graphics, 2014 IEEE SciVis 2014, Paris, France. Paper: PDF | |
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Sample-Oriented Task-Driven Visualizations: Allowing Users to Make Better, More Confident Decisions
Nivan Ferreira, Danyel Fisher, Arnd Christian Konig Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 571-580), CHI 2014. Paper: PDF Video: video | |
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Visual exploration of big spatio-temporal urban data: a study of New York City taxi trips
Nivan Ferreira, Jorge Poco, Huy T. Vo, Juliana Freire, Claudio Silva IEEE Transactions on Visualization and Computer Graphics, 2013. Presented at VIS 2013. Paper: PDF Website: link Source Code: link | |
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Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields
Nivan Ferreira, James T. Klosowski, Carlos Scheidegger, Claudio Silva Computer Graphics Forum (Print), 2013. Eurovis 2013, Leipzig, Germany (Best paper honorable mention). Paper: PDF Source: GitHub | |
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BirdVis: Visualizing and Understanding Bird Populations
Nivan Ferreira, Lauro Lins, Daniel Fink, Steve Kelling, Chris Wood, Juliana Freire, Claudio Silva IEEE TVCG 2011. Project Website: BirdVis Source Code: GitHub | |
| Unpublished Work | ||
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Maximum Common Subelement Metrics and its Applications to Graphs
Lauro Lins, Nivan Ferreira | |
| Students | ||
Masters Students
Undergraduate Students
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