Alessio Arleo, PhD

Assistant Professor @ Eindhoven University of Technology

Assistant Professor at Eindhoven University of Technology at the Visualization Cluster. Previously postdoctoral researcher at Centre for Visual Analytics Science and Technology (CVAST) at TU Vienna. 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.

"Omnia es consecutus es, virtute duce, comite fortuna." - Cicerone

Last Updated: Mar. 27th 2024

Expertise

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.

Current Position

2024 - Present

Assistant Professor

Visualization Cluster at the Eindhoven University of Technology

The Netherlands, Eindhoven

Education

2018 - 2024

Postdoctoral Researcher

Centre for Visual Analytics Science and Technology at TU Wien

Austria, Vienna

2014 - 2018

PhD Student

Università degli Studi di Perugia

Italy, Perugia

2011 - 2014

Master degree in Computer and Automation engineering - cum laude

Università degli Studi di Perugia

Italy, Perugia

Work Experience

2017 - 2018

Teacher

Ecipa Umbria

Italy, Perugia

2014

Software Developer (contract project)

Università degli Studi di Perugia

Italy, Perugia

2012-2014

Web Developer

Nuova Dimensione Medica

Italy, Lauria

Selected Publications

DynTrix
B. Vago, D. Archambault, and A. Arleo

DynTrix: A Hybrid Representation for Dynamic Graphs

Full paper accepted at EuroVis 2024

No project website

VAIM v2
A. Arleo, W. Didimo, G. Liotta, S. Miksch, and F. Montecchiani

Influence Maximization With Visual Analytics

IEEE Transactions on Visualization and Computer Graphics, 28 (10), 2022

Go to Project Website

Survey
V. Filipov, A. Arleo, and S. Miksch

Are we there yet? a roadmap of network visualization from surveys to task taxonomies

Computer Graphics Forum, 42 (6), 2023

Go to Project Website

Embedding Network in the Space Time Cube
A. Arleo, S. Miksch, and D. Archambault

Event-Based Dynamic Graph Drawing without the Agonizing Pain

Computer Graphics Forum, 41 (5), 2022

Go to Project Website

Heuristic Table
D. Ceneda, C. Collins, M. El-Assady, S. Miksch, C. Tominski, and A. Arleo

A heuristic approach for dual expert/end-user evaluation of guidance in visual analytics

IEEE Transactions on Visualization and Computer Graphics, 2023

Go to Project Website

Sabrina v2
A. Arleo, C. Tsigkanos, R. A. Leite, S. Dustdar, S. Miksch, J. Sorger

Visual Exploration of Financial Data with Incremental Domain Knowledge

Computer Graphics Forum 42 (6)

Go to Project Website

On time and space
V. Filipov, A. Arleo, M. Bögl, and S. Miksch

On network structural and temporal encodings: a space and time odyssey

IEEE Transactions on Visualization and Computer Graphics, 2023

No project website

Egocentric Network Exploration in VR
J. Sorger, A. Arleo, W. Knecht, and M. Waldner

Egocentric Network Exploration for Immersive Analytics

Computer Graphics Forum 40(7), 241-252, 2021

Go to Project Website

Show me your face
D. Ceneda, A. Arleo, T. Gschwandtner, and Silvia Miksch

Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021

No project website

CVThree
V. Filipov, A. Arleo, P. Federico, S. Miksch

CV3: Visual Exploration, Assessment, and Comparison of CVs

Computer Graphics Forum, Vol. 38 (3), 2019

Go to Project Website

Multi-Gila
A. Arleo, W. Didimo, G. Liotta, F. Montecchiani

A distributed multilevel force-directed algorithm

IEEE Transactions on Parallel and Distributed Systems, Vol.3 (4), 2018

Go to Project Website

A. Arleo, W. Didimo, G. Liotta, F. Montecchiani

Profiling distributed graph processing systems through visual analytics

Future Generation Computer Systems, 2018

Go to Project Website

A. Arleo, W. Didimo, G. Liotta, F. Montecchiani

Large graph visualizations using a distributed computing platform

Information Sciences 381, pp. 124-141, 2017

Go to Project Website

A. Arleo, O.H. Kwon and K.L. Ma

GraphRay: Distributed pathfinder network scaling

Large Data Analysis and Visualization (LDAV), pp. 74-83. 2017

Go to Project Website

Other Projects

GraphBook
V. Filipov, A. Arleo, T. von Landesberger, D. Archambault

Back to the Graphs: A Collection of Datasets and Quality Criteria for Temporal Networks Layout and Visualization

IEEE VIS Poster, 2023

No project website

GraphBook
V. Filipov, A. Arleo, D. Ceneda, and S. Miksch

The Fabric of Heroes: an Infographic about Marvel Cinematic Univers

International Symposium on Graph Drawing and Network Visualization, Creative Context submission, 2019

No project website

GraphBook
V. Filipov, D. Ceneda, M. Koller, A. Arleo, and S. Miksch

The Circle of Thrones

VISCOMM, 2018

No project website

Contact

Address
Visualization Cluster
Department of Mathematics and Computer Science
MetaForum building, room 7.091
Contacts
Link to TU/e personal page