Meiby Ortiz-Bouza
Meiby Ortiz-Bouza
Ph.D. Candidate
Ph.D. Candidate
Michigan State University
Michigan State University
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About me
About me
My name is Meiby Ortiz-Bouza and I just completed my PhD at Michigan State University. My research focuses on machine learning and graph signal processing, specifically identifying communities and anomalies in graphs and uncovering insights from complex network data. I have developed novel frameworks for these two network analysis tasks with applications to real-world datasets, such as citation, co-author, social, and brain networks. In addition, I hold a Master's degree in Applied Mathematics and Scientific Computation, which has provided me with a strong foundation in advanced mathematical techniques and computational methods. Actively looking for full-time roles to start after graduation in May 2025.
My name is Meiby Ortiz-Bouza and I just completed my PhD at Michigan State University. My research focuses on machine learning and graph signal processing, specifically identifying communities and anomalies in graphs and uncovering insights from complex network data. I have developed novel frameworks for these two network analysis tasks with applications to real-world datasets, such as citation, co-author, social, and brain networks. In addition, I hold a Master's degree in Applied Mathematics and Scientific Computation, which has provided me with a strong foundation in advanced mathematical techniques and computational methods. Actively looking for full-time roles to start after graduation in May 2025.
Education
Education
Ph.D. Candidate, Electrical and Computer Engineering Department, Michigan State University, MI, USA, 2020-present.
M.S., Applied Mathematics and Scientific Computation, Bowling Green State University, OH, USA, 2018-2020.
B.S., Telecommunications and Electronics Engineering, Technological University of Havana, Cuba, 2012-2017.
Research Interests
Research Interests
My research areas of interest include Graph Signal Processing and Machine Learning, with a focus on community detection/clustering in multiplex and attributed networks.
Projects:
Peer-reviewed Publications
Peer-reviewed Publications
M. Ortiz-Bouza, D. Vu, A. Karaaslanli, and S. Aviyente, “Learning Graph Filters for Structure-Function Coupling based Hub Node Identification” IEEE Transactions on Signal and Information Processing over Networks, vol. 11, pp. 980-993, 2025.
M. Ortiz-Bouza and S. Aviyente, “Learning Optimal Graph Filters for Clustering of Attributed Graphs,” IEEE Transactions on Signal and Information Processing over Networks, vol. 11, pp. 520-534, 2025.
M. Ortiz Bouza, S. Athamnah, and S. Aviyente, “Discriminative subgraph detection for temporal multilayer networks”, 2025 IEEE Statistical Signal Processing Workshop (SSP 2025), 2025.
H. Yang, M. Ortiz-Bouza, T. Vu, V. Calhoun, S. Aviyente, and T. Adali, “Multiplex community detection for subgroup identification within functional connectivity networks,” submitted to IEEE Transactions on Biomedical Engineering, 2025.
M. Ortiz-Bouza and S. Aviyente, “Optimal Multi-Scale Learning via Spectral Graph Wavelets for Attributed Graph Clustering,” submitted to IEEE Signal Processing Letters, 2025.
M. Ortiz-Bouza and S. Aviyente, “Discriminative Community Detection for Multiplex Networks” 2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2024.
D. Vu, M. Ortiz-Bouza, and S. Aviyente, “Graph Filtering for Hub Node Identification in Brain Networks” 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024.
H. Yang, M. Ortiz-Bouza, T. Vu, F. Laport, V. Calhoun, S. Aviyente, and T. Adali, “Subgroup Identification Through Multiplex Community Structure within Functional Connectivity Networks” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
M. Ortiz-Bouza and S. Aviyente, “Community Detection in Multiplex Networks based on Orthogonal Nonnegative Matrix Tri-factorization,” IEEE Access, vol. 12, pp. 6423–6436, 2024.
B. Osterkamp, M. Ortiz-Bouza, and S. Aviyente. “Variability of Functional Connectomes Through Community Structure,” 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023.
M. Ortiz-Bouza and S. Aviyente, “Attributed Graph Clustering for Functional Connectivity Networks” 2023 IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
A. Karaaslanli, M. Ortiz-Bouza, T. T. K. Munia, S. Aviyente, “Community Detection in Multi-frequency EEG Networks” Scientific Reports 13, no. 1, p 8114, 2023.
M. Ortiz-Bouza and S. Aviyente, “Community Detection in Attributed Networks Using Graph Wavelets,” 2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022.
M. Ortiz-Bouza and S. Aviyente, “Orthogonal Nonnegative Matrix Tri-factorization for Community Detection in Multiplex Networks,” 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.
L. M. Gato Díaz, M. Ortiz Bouza and J. Torres Gómez. “Modeling Cooperative Communications using Game Theory: Applications for Cognitive Radios” Revista de Ingeniería Electrónica, Automática y Comunicaciones (RIELAC), Vol. 38, pp. 36-48 2017.
M. Ortiz Bouza, L. M. Gato Díaz and J. Torres Gómez. “Cooperation Models based on Game Theory for Cognitive Radio Networks: a Comparative Analysis” International Conference on Telecommunications and Telematics, CITTEL, 2016.
Conferences Presentations
Conferences Presentations
2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), September 22-25, 2024, London, UK, “Discriminative Community Detection for Multiplex Networks.”
2024 Graph Signal Processing Workshop, June 24-26, 2024 in Delft, The Netherlands, “Graph Filtering for Clustering Attributed Graphs.”
2022 Asilomar Conference on Signals, Systems, and Computers, Oct 30-Nov 2, 2022, “Community Detection in attributed networks using Graph Wavelets.”
ICASSP 2022, IEEE International Conference on Acoustics, Speech, and Signal Processing, May 22-27, 2022, “Orthogonal nonnegative matrix tri-factorization for Community Detection in Multiplex Networks.”
Networks 2021: A joint Sunbelt and NetSci Conference, Virtual Conference, July 5-10, 2021, “Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization.”
17th International Convention Informatics 2018, 8th Telecommunications Symposium, Cuba. March 19-23, 2018. “Signals Detection by Coalition Formation for Cognitive Radio Networks using Metaheuristic Algorithms.”
12th International Workshop on Operations Research, Cuba. March 2017. ”Modeling cooperative communications using game theory: applications for cognitive radios.”
Awards and Fellowships
Awards and Fellowships
GEM Fellowship, Board Fellow, 2023
Engineering Distinguished Scholar, Electrical and Computer Engineering Department, Michigan State University, 2020-2021.
James Robert and Gretchen Overman Graduate Scholarship, Bowling Green State University, 2019
Award for Outstanding Student in Research Activities, Technological University of Havana, 2017 and 2018.
1st Prize in Digital Signal Processing section in the Scientific Student Competition of CUJAE, 2016 and 2017.
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