Alessio Arleo

Function
University Assistant
Address

Favoritenstraße 9-11, A-1040 Vienna, Austria

Room
HE 01 16
Phone
+43 (1) 58801 - 188211

Postdoctoral researcher at Centre for Visual Analytics Science and Technology (CVAST). He earned bachelor, master degree (achieved cum laude) and PhD at University of Perugia. His expertise includes software engineering, algorithm design, distributed systems, graph drawing, information visualization.

Technical Interests:

  • Graph Drawing:
    Graph drawing algorithm design also using a Think-like-a-vertex perspective.
  • Distributed Data Processing:
    Big Data processing frameworks (e.g., Hadoop) and Graph processing systems (e.g., Giraph).
  • Large Network Visualization:
    Technologies for the visualization of large networks following the aesthetic criteria needed to obtain satisfactory drawings.
  • Visual Analytics:
    Techniques and practices for a powerful and meaningful storytelling.

Open Student Topics

Title Scope Area
Migration Data Visualization in 3D and VR MA Information Extraction (IE) and Transformation, Information Visualization (IV)
Streaming graph visualization using WebGL PR Information Visualization (IV)
Streaming layout algorithms for large graphs MA Information Visualization (IV)

Publications

Alessio Arleo, Silvia Miksch, Daniel Archambault, "A Multilevel Approach for Event-Based Dynamic Graph Drawing", EuroVIS 2021 - Short Papers, 2021. paper GitHub page Supplemental Video
: Different combinations of structural and temporal encodings of a network as depicted in our study Velitchko Filipov, Alessio Arleo, Silvia Miksch, "Exploratory User Study on Graph Temporal Encodings", , pp. 126-130, 2021. paper
Davide Ceneda, Alessio Arleo, Theresia Gschwandtner, Silvia Miksch, "Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics", IEEE Transactions on Visualization and Computer Graphics, pp. 12, 2021. paper
Johannes Sorger, Alessio Arleo, Peter Kán, Wolfgang Knecht, Manuela Waldner, "Egocentric Network Exploration for Immersive Analytics", To appear on Computer Graphics Forum (CGF), 2021.
Teaser Image Alessio Arleo, Walter Didimo, Giuseppe Liotta, Silvia Miksch, Fabrizio Montecchiani, "VAIM: Visual Analytics for Influence Maximization", 28th International Symposium on Graph Drawing and Network Visualization, 2020. arXiv version YouTube
Roger Leite, Alessio Arleo, Johannes Sorger, Theresia Gschwandtner, Silvia Miksch, "Hermes: Guidance-enriched Visual Analytics for economic network exploration", Visual Informatics, Elsevier, vol. 4, 2020.
Johannes Sorger, Manuela Waldner, Wolfgang Knecht, Alessio Arleo, "Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation", IEEE AIVR 2019, 2019. paper
Christos Tsigkanos, Alessio Arleo, Johannes Sorger, Schahram Dustdar, "How do firms transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability", IEEE 20th International Conference on Information Reuse and Integration for Data Science, 2019.
Alessio Arleo, Christos Tsigkanos, Chao Jia, Roger Leite, Ilir Murturi, Manfred Klaffenböck, Schahram Dustdar, Silvia Miksch, Michael Wimmer, Johannes Sorger, "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge", IEEE VIS 2019, 2019. paper https://www.cvast.tuwien.ac.at/sites/default/files/2019-07/Suppl.%20Material_0…
Velitchko Filipov, Alessio Arleo, Davide Ceneda, Silvia Miksch, "The Fabric of Heroes: an Infographic about Marvel Cinematic Universe", International Symposium on Graph Drawing and Network Visualization, 2019.
Velitchko Filipov, Alessio Arleo, Paolo Federico, Silvia Miksch, "CV3: Visual Exploration, Assessment, and Comparison of CVs", Computer Graphics Forum, vol. 38, pp. 11, 2019. paper
Velitchko Filipov, Davide Ceneda, Michael Koller, Alessio Arleo, Silvia Miksch, "The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics", , 2018. paper High Quality Poster