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publications
Optimization Techniques for Cell-Free Massive MIMO System
Published in University of Oulu — Master’s Thesis, 2019
Master’s thesis on power optimization for uplink in a cell-free massive MIMO system using L-MMSE detection.
Recommended citation: Chamalee Wickrama Arachchi. (2019). "Optimization Techniques for Cell-Free Massive MIMO System." University of Oulu, Master’s Thesis. https://oulurepo.oulu.fi/handle/10024/14156
Node ranking in labeled networks
Published in SIAM International Conference on Data Mining (SDM), 2023
A study on ranking nodes in labeled networks.
Recommended citation: Chamalee Wickrama Arachchi and Nikolaj Tatti. (2023). "Node ranking in labeled networks." SIAM International Conference on Data Mining. https://arxiv.org/abs/2502.01408
Jaccard-constrained dense subgraph discovery
Published in Machine Learning, 2024
Dense subgraph discovery with Jaccard constraints.
Recommended citation: Chamalee Wickrama Arachchi and Nikolaj Tatti. (2024). "Jaccard-constrained dense subgraph discovery." Machine Learning: 1–23. https://link.springer.com/article/10.1007/s10994-024-06595-y
Recurrent segmentation meets block models in temporal networks
Published in Machine Learning, 2024
Combining recurrent segmentation with block models for temporal networks.
Recommended citation: Chamalee Wickrama Arachchi and Nikolaj Tatti. (2024). "Recurrent segmentation meets block models in temporal networks." Machine Learning: 1–31. https://link.springer.com/content/pdf/10.1007/s10994-023-06507-6.pdf
Dense Subgraph Discovery Meets Strong Triadic Closure
Published in ACM KDD Conference, 2024
Dense subgraph discovery under strong triadic closure constraints.
Recommended citation: Chamalee Wickrama Arachchi, Iiro Kumpulainen, and Nikolaj Tatti. (2024). "Dense Subgraph Discovery Meets Strong Triadic Closure." ACM KDD Conference. https://dl.acm.org/doi/10.1145/3637528.3671697
Fair Densest Subgraph Across Multiple Graphs
Published in ECML PKDD, 2024
A fairness-aware densest subgraph formulation across multiple graph instances.
Recommended citation: Chamalee Wickrama Arachchi and Nikolaj Tatti. (2024). "Fair Densest Subgraph Across Multiple Graphs." ECML PKDD. https://link.springer.com/chapter/10.1007/978-3-031-70362-1_1
Methods for Finding Structures in Feature-rich Graph Networks
Published in University of Helsinki — Doctoral Thesis, 2025
Doctoral thesis on data mining methods for discovering structures in feature-rich graph networks.
Recommended citation: Chamalee Wickrama Arachchi. (2025). "Methods for Finding Structures in Feature-rich Graph Networks." University of Helsinki, Doctoral Dissertation. https://helda.helsinki.fi/handle/10138/601699
talks
Recurrent Segmentation Meets Block Models in Temporal Networks
Published:
Oral presentation of the work Recurrent Segmentation Meets Block Models in Temporal Networks at the International Discovery Science Conference (DS 2022), Montpellier, France.
Node Ranking in Labeled Networks
Published:
Oral presentation of the work Node Ranking in Labeled Networks at the SIAM International Conference on Data Mining (SDM 2023), Minneapolis, USA.
Jaccard-constrained Dense Subgraph Discovery
Published:
Oral presentation of the work Jaccard-constrained Dense Subgraph Discovery at the International Discovery Science Conference (DS 2023), Porto, Portugal.
Dense Subgraph Discovery Meets Strong Triadic Closure
Published:
Oral presentation of the work Dense Subgraph Discovery Meets Strong Triadic Closure at the ACM KDD Conference (2024).
Fair Densest Subgraph Across Multiple Graphs
Published:
Oral presentation of the work Fair Densest Subgraph Across Multiple Graphs at the ECML PKDD Conference (2024), Vilnius, Lithuania.
teaching
Teaching Assistant: Introduction to Artificial Intelligence
Graduate course, University of Helsinki, Department of Computer Science, 2021
Served as a Teaching Assistant for the Introduction to Artificial Intelligence course in Fall 2021.
Responsibilities included guiding exercises, assisting students during exercise sessions, evaluating assignments, and supporting course instruction.
Teaching Assistant: Introduction to Machine Learning
Graduate course, University of Helsinki, Department of Computer Science, 2023
Served as a Teaching Assistant for the Introduction to Machine Learning course in Fall 2023.
Responsibilities included providing hands-on support during exercise sessions, evaluating submissions, and helping students understand core ML concepts.