Topological Data Analysis

Faculty

1. Paul Samuel Ignacio
2. Wilfredo Alangui
3. Rizavel Addawe
4. Jhunas Paul Viernes

Students

1. Jay-Anne Bulauan
2. Ronnie John Pascua
3. Alyssa Camille Nano
4. Shiela May Coloma
5. Jenina Marie Galang
6. William Ceasar Laureta

Graduates

1. John Rick Manzanares, MS Mathematics (2022)

1. Regular Meetings
2. Workshops
3. Research Dissemination

1. Ignacio, P. (2021). Intrinsic Hierarchical Clustering Behavior Recovers Higher Dimensional Shape Information. 11th IEEE Computing and Communications Workshop and Conference. Las Vegas, Nevada, USA, 206-211
2. Ignacio, P. (2021). Leveraging Period-specific Variations in ECG Topology for Classification Tasks. 2021 Computing in Cardiology, Brno, Czech Republic, 1-4
3. Ignacio, P., Bulauan, J., & Manzanares, J. (2020). A Topology Informed Random Forest Classifier for ECG Classification. 2020 Computing in Cardiology, Rimini, Italy, 1-4
4. Ignacio, P., Dunstan, C., Escobar, E., Trujillo, L., & Uminsky, D. (2020). Classification of Single-lead Electrocardiograms: TDA Informed Machine Learning. 2019 18th IEEE International Conference on Machine Learning and Applications, Boca Raton, Florida, USA. 1241-1246
5. Ignacio, P., Bulauan, J., & Uminsky, D. (2020). LUMÁWIG: An Efficient Algorithm for Dimension Zero Bottleneck Distance Computation in Topological Data Analysis. Algorithms, 13 (11), 1-15
6. Ignacio, P., & Darcy, I. (2019). Tracing Patterns and Shapes in Remittance and Migration Networks via Persistent Homology. EPJ Data Science, 8 (1), 1-25

1. Stable Homology-based Cycle Centrality Measures for Weighted Graphs by John Rick Manzanares