[cv.pdf]

Nelson Aloysio Reis de Almeida Passos

I work with research and development in computer science and network science,
with a focus on efficient algorithms and machine learning models for temporal graphs.

Education

• Ph.D. in Artificial Intelligence (2026). University of Pisa, Italy. Funding: CNR, National Research Council.
• M.Sc. in Social Sciences (2022). Federal University of Espírito Santo, Vitória, Brazil. Funding: CAPES, Ministry of Education.
• Pg.Dip. in Data Science with Big Data (2021). Federal Institute of Science and Technology of Espírito Santo, Serra, Brazil.
• B.Sc. in Social Communication (2018). Federal University of Espírito Santo, Vitória, Brazil.

Theses

• Efficient Neural Community Detection on Time-Varying Attributed Graphs. Ph.D. thesis (2026), University of Pisa, Italy. Supervisors: Dr. Emanuele Carlini and Dr. Salvatore Trani.
• Classifying communities in temporal networks by text: mapping the 2013-2018 Brazilian protests on Twitter. Master’s thesis (2022), Federal University of Espírito Santo, Brazil. Supervisor: Prof. Cristiana Losekann.
• Cluster analysis using Markov Cluster Algorithm and the Louvain method: a case study of Wikipedia entries. Postgraduate’s thesis (2021), Federal Institute of Science and Technology of Espírito Santo, Brazil. Supervisor: Prof. Jefferson Andrade.
• A tool for data journalism, social network analysis and cyberspace mapping. Bachelor’s thesis (2018), Federal University of Espírito Santo, Brazil. Supervisor: Prof. Fabio Malini.

Research

Preprints

• Time-varying ecological interactions characterise equilibrium and stability. Caligiuri, A.; Emery, E.; Ferreira, L.; García-Castillo, J.; Lindner, S.D.; Molina-Hernández, J.; Passos, N.A.R.A.; Ribeiro, V.H.; Sartore, M.; Wang, B.; Calleja-Solanas, V. (2025). Under submission. arXiv:2506.22123 [q-bio.PE].

Journal articles

• NetworkX-Temporal: Building, manipulating, and analyzing dynamic graph structures. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2025). SoftwareX 31, 102277.
• Using Entropy Metrics to Analyze Information Processing Within Production Systems: The Role of Organizational Constraints. Merode, F.v.; Boersma, H.; Tournois, F.; Winasti, W.; Passos, N.A.R.A.; Ham, A.v.d. (2025). Logistics 9(2), 46.

Conference papers

• Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2026). In print: Proceedings of the 6th workshop on Flexible Resource and Application Management on the Edge (FRAME@Euro-Par’26). Pisa, Italy, Aug. 24–28, 2026. arXiv:2608.03695 [cs.DC].
• Toward Efficient Community Detection on Time-Varying Attributed Graphs. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2026). Best symposium paper award. In print: Proceedings of the 32nd International European Conference on Parallel and Distributed Computing (Euro-Par’26). Pisa, Italy, Aug. 24–28, 2026.
• TADC-SBM: a Time-varying, Attributed, Degree-Corrected Stochastic Block Model. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2025). In Proceedings of the 30th IEEE Symposium on Computers and Communications (ISCC’25). IEEE Computer Society, Los Alamitos, CA, USA, 1–6.
• Deep Community Detection in Attributed Temporal Graphs: Experimental Evaluation of Current Approaches. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2024). In Proceedings of the 3rd Graph Neural Networking Workshop (GNNet@CoNEXT’24). Association for Computing Machinery, New York, NY, USA, 1–6.
• Perspectives on Twitter: a quanti-qualitative technique for Social Network studies Regattieri, L.L.; Malini, F.L.; Passos, N.A.R.A.; Medeiros, J.M. (2014). In Portuguese. XXXVII Congress of Communication Sciences (Intercom’14), Foz do Iguaçu, Brazil.

Posters / Presentations

• Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling. Passos, N.A.R.A.; Carlini, E.; Trani, S. (2026). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD’26 – Nectar Track). Naples, Italy, Sep. 7–11, 2026. arXiv:2608.03696 [cs.LG].
• Dynamic Graph Clustering with Graph Neural Networks (Poster). Passos, N.A.R.A. (2026). Learning on Graphs – Italian Meetup (LoG’26@Pisa). Jun. 9–11, 2026, Pisa, Italy.
• Efficient Neural Community Detection on Temporal Graphs: Challenges, Opportunities, and Advancements (Poster). Passos, N.A.R.A. (2025). Future Artificial Intelligence Research (FAIR’25) – General Conference. Dec. 10–12, 2025, Rome, Italy.
• Benchmarking Algorithmic and Neural Approaches for Temporal Community Detection. Passos, N.A.R.A. (2025). Best student Lightning Talk award. International School and Conference on Network Science (NetSci’25). Jun. 2–6, 2025, Maastricht, Netherlands.
• Deep Community Detection on Attributed Dynamic Graphs with a Spatio-Temporal Graph Neural Network (Poster). Passos, N.A.R.A. (2024). International School and Conference on Network Science (NetSciX’24). Jan. 22–25, 2024, Venice, Italy.

Joint collaborations

• Global Education and Social Networks (2017). Research conducted in collaboration with the Federal University of Espírito Santo, Brazil. Project commissioned by: the International Commission on Financing Global Education Opportunity (the Education Commission).
• Zika Virus: digital data analysis from Brazil and the world (2016). Research conducted in collaboration with the Laboratory of Internet and Data Science – Labic, Federal University of Espírito Santo, Brazil. Commissioned by: the United Nations Children’s Fund (UNICEF).

Other academic services

• Peer-review of papers for Wiley (2026), IEEE BigDataService (2026), HPDC (2026), CanadianAI (2026, 2025), ACM SAC (2025), and ECAI (2025, 2024).
• Conference assistance co-organizing QUATIC (2024) and HPC (2024) in Pisa, Italy.
• Open-source software development and maintenance (networkx-temporal.org, &c.).

Professional experience

Current / Past positions

• High Performance Computing Lab, CNR-ISTI, Italy: Postdoc Researcher (2026–present).
• University of Pisa / CNR-ISTI, Italy: Doctoral Researcher, National PhD in AI (2022–2026).
• SouCiencia Institute, Federal University of Sao Paulo, Brazil: Research Engineer (2021–22).
• Labic, Federal University of Espírito Santo, Brazil: Research Assistant (2013–2017).

TA / Teaching experience

• (30h) Web Programming and Design (2026). TA: Undergraduate course to students of the B.Sc. in Humanistic informatics. Department of Computer Science, University of Pisa, Italy.
• (4h) Introduction to Computational Social Sciences (2022). Lecture to Master’s students in Social Sciences. Department of Social Sciences, Center of Natural and Human Sciences, Federal University of Espírito Santo, Brazil.
• (4h) Introduction to Programming with Python (2017). Lecture to Master’s students in Social Communication. Department of Communication, Center of Arts, Federal University of Espírito Santo, Brazil.

Tutorials / Workshops

• (1h) Workshop: Manipulating temporal networks using NetworkX-Temporal (2025). Complexity 72h Workshop (C72h). Jun. 23–27, 2025, Madrid, Spain.
• (30h) Workshop: Analyzing Social Life with Gephi (2013). Fundação Getulio Vargas and Labic – Dep. of Communication, Center of Arts, Federal University of Espírito Santo, Brazil.

Talks / Interviews

• Online: Algorithms, Art, and Internet Activism (2021). Panel discussion led by Universidade Federal de Juiz de Fora and Universidade Federal de Ouro Preto, Brazil.
• Seminar: Impacts of New Communication and Information Technologies in Post-2013 Brazil (2019). Transformations of Contemporary Activism (PGCS). Organon – Dep. of Social Sciences, C. Natural & Human Sciences, Federal University of Espírito Santo, Brazil.

Other professional and training experience

• ACM S.School on HPC Architectures for AI and Dedicated Applications: Training (2024).
• Culture Hack Labs, Canada: Machine Learning Engineer (2020–2021).
• The Rules, USA: Back-end Software Developer (2018–2019).

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