Publications
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Submitted papers & preprints
J. Krishnan, R. Money, B. Beferull-Lozano and E. Isufi, Simplicial Vector Autoregressive Models, submitted to IEEE Transactions on Signal Processing, May. 2024. [PDF]
B. Das and E. Isufi, Online Graph Filtering Over Expanding Graphs, submitted to IEEE Transactions on Signal Processing, Feb. 2024
Z. Gao, A. Prorok and E. Isufi, On the Trade-Off between Stability and Representional Capacity in Graph Neural Networks, submitted to IEEE Transactions on Signal Processing, Dec. 2023 [PDF]
M. Yang and E. Isufi, Convolutional Learning on Simplicial Complexes, arXiv 2023 [PDF].
Journal papers
E. Isufi, F. Gama, D. I. Shuman and S. Segarra, Graph Filters for Signal Processing and Machine Learning on Graphs, in the IEEE Transactions on Signal Processing, Dec. 2023 [PDF] (overview article)
C. Liu, G. Leus and E. Isufi, Unrolling of Simplicial ElasticNet for Edge Flow Signal Reconstruction, in the IEEE Open Journal on Signal Processing, Dec. 2023. [PDF]
R. Bentivoglio, E. Isufi, S. N. Jonkman and R. Taormina, Rapid Spatio-Temporal Flood Modeling via Hydraulics-Based Graph Neural Networks, in the Hydrology and Earth System Sciences. Nov. 2023 [PDF] [Video]
B. Kerimov, R. Bentivoglio, J. A. G. Diaz, E. Isufi, F. Tscheikner-Grati, D. B. Steffelbauer, R. Taormina, Assessing the Performance and Transferability of Graph Neural Network Metamodels for Water Distribution Systems, Journal of Hydroinformatics, Sep. 2023. [PDF]
M. Sabbaqi and E. Isufi, Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis, in the IEEE Transactions on Pattern Analysis and Machine Intelligence, Aug. 2023. [PDF]
B. Habib, E. Isufi, W. van Breda, A. Jongepier and J. L. Cremer, Deep Statistical Solver for Distribution System State Estimation, in the IEEE Transactions on Power Systems, June. 2023 [PDF]
Z. Gao and E. Isufi, Learning Stochastic Graph Neural Networks with Constrained Variance, in the IEEE Transactions on Signal Processing, Jan. 2023. [PDF]
R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi, Scalable and Privacy-aware Online Learning of Nonlinear Structural Equation Models, in the IEEE Open Journal on Signal Processing, Jan. 2023. [PDF]
R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi, Online Missing Data Imputation of Edge Flows, in the IEEE Signal Processing Letters, Nov. 2022. [PDF]
M. Yang, E. Isufi, M. T. Schaub and G. Leus, Simplicial Convolutional Filters, in the IEEE Transactions on Signal Processing, Sep. 2022. [PDF]
B. Das, A. Hanjalic and E. Isufi, Task-Aware Connectivity Learning for Incoming Nodes on Growing Graphs, in the IEEE Transactions on Signal and Information Processing over Networks, Aug. 2022. [PDF]
R. Bentivoglio, E. Isufi, S. N. Jonkman and R. Taormina, Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions, in the Hydrology and Earth System Sciences. Jul. 2022 [PDF]. (top 1% cited article)
A. Natali, E. Isufi, M. Coutino and G. Leus, Learning Time-Varying Graphs from Online Data, in the IEEE Open Journal on Signal Processing, May. 2022 [PDF]. (top 25 donwloaded articles)
L. Ben Saad, B. Beferull-Lozano and E. Isufi, Quantization Analysis and Robust Design for Distributed Graph Filters, in the IEEE Transactions on Signal Processing, Dec. 2021. [PDF]
E. Isufi, F. Gama and A. Ribeiro, EdgeNets: Edge Varying Graph Neural Networks, in the IEEE Transactions on Pattern Analysis and Machine Intelligence, Sep. 2021. [PDF] [Code]
Z. Gao, E. Isufi and A. Ribeiro, Stability of Graph Convolutional Neural Networks to Stochastic Perturbations, Elsevier Signal Processing, Special Issue on Processing and Learning over Networks, Jun. 2021. [PDF]
Z. Gao, E. Isufi and A. Ribeiro, Stochastic Graph Neural Networks, in the IEEE Transactions on Signal Processing, 2021. [PDF]
M. Yang, M. Coutino, G. Leus and E. Isufi, Node-Adaptive Regularization for Graph Signal Reconstruction, IEEE Open Journal of Signal Processing, Jan. 2021. [PDF]
E. Isufi, M. Pocchiari and A. Hanjalic, Accuracy-Diversity Trade-off in Recommender Systems via Graph Convolutions, Elsevier Information Processing and Management; Special Issue on Advances in Graph Representation Learning for Large-scale Multimedia Analytics, Mar. 2021. [PDF] [Code]
F. Gama, E. Isufi, G. Leus and A. Ribeiro, Graphs, Convolutions and Neural Networks: From Graph Filters to Graph Neural Networks, IEEE Signal Processing Magazine; Special Issue on Graph Signal Processing: Foundations and Emerging Directions. 2020. [PDF] [Code]
E. Isufi, P. Banelli, P. Di Lorenzo and G. Leus, Observing and Tracking Bandlimited Graph Processes, Elsevier Signal Processing, 2020. [PDF] [BibTex]
M. Sun, E. Isufi, N. M. S. de Groot and R. C. Hendriks, Graph-Time Spectral Analysis for Atrial Fibrillation, Elsevier Biomedical Signal Processing and Control, 2020. [PDF] [Code] [BibTex]
M. Coutino, E. Isufi, T. Maehara and G. Leus, State-Space Network Topology Identification from Partial Observations, IEEE Transactions on Signal and Information Processing over Networks; Special Issue on Network Topology Identification, 2020. [PDF] [BibTex]
F. Gama, E. Isufi, A. Ribeiro and G. Leus, Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs, IEEE Transactions on Signal Processing, 2019. [PDF] [BibTex]
E. Isufi, A. Loukas, N. Perraudin and G. Leus, Forecasting Time Series with VARMA Recursions on Graphs, IEEE Transactions on Signal Processing, 2019. [PDF] [BibTex]
M. Coutino, E. Isufi and G. Leus, Advances in Distributed Graph Filtering, IEEE Transactions on Signal Processing, vol. 67 (9), pp. 2320 - 2333, 2019. [PDF] [BibTex]
J. Liu, E. Isufi and G. Leus, Filter Design for Autoregressive Moving Average Graph Filters, IEEE Transactions on Signal and Information Processing over Networks, vol. 5 (1), pages 47-60, 2019. [PDF] [BibTex]
P. Di Lorenzo, P. Banelli, E. Isufi, S. Barbarossa and G. Leus, Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies, IEEE Transactions on Signal Processing, vol. 66 (13), pp. 3584 - 3598, 2018. [PDF] [BibTex]
E. Isufi, A. S. U. Mahabir and G. Leus, Blind Graph Topology Change Detection, IEEE Signal Processing Letters, vol. 15 (5), pp. 655 - 659, 2018. [PDF] [BibTex]
E. Isufi, A. Loukas, A. Simonetto and G. Leus, Filtering Random Graph Processes Over Random Time-Varying Graphs, IEEE Transactions on Signal Processing, vol.65 (16), pp. 4406-4421, 2017. [PDF] [BibTex]
E. Isufi, A. Loukas, A. Simonetto and G. Leus, Autoregressive Moving Average Graph Filtering, IEEE Transactions on Signal Processing, vol.67 (2), pp. 274-288, 2017. [PDF] [BibTex]
E. Isufi, H. Dol and G. Leus, Advanced Flooding-Based Routing Protocols for Underwater Sensor Networks, EURASIP Journal on Advances in Signal Processing, Special Issue on Network Coding, 2016. [PDF] [BibTex]
Conference papers
C. Liu and E. Isufi, Hodge-Aware Matched Subspace Detectors, EURASIP European Signal Processing Conference (EUSIPCO), Lyon, France, Aug. 2024. (invited paper)
A. Buciulea, E. Isufi, G. Leus and A. G. Marques, Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach, IEEE Sensor Array and Multichannel Signal Processing Workshop 2024 (SAM), United States, Jul. 2024. (invited paper)
R. Bentivoglio, E. Isufi, S. N. Jonkman and R. Taormina, Generalizing Multi-Scale Hydrauic-based Graph Neural Networks: Generalizing Spatial Flood Mapping to Irregular Meshes and Time-Varying Boundary Condition, submitted to the 8th International Association for Hydro-Environment Engineering and Research (IAHR) Europe Congress, Portugal, June, 2024.
M. Yang, V. Borovitskiy, and E. Isufi, Hodge-Compositional Edge Gaussian Processes, 27th International Conference on Artificial Intelligence and Statistics (AISTATS), Valenca, Spain, May 2024 [PDF]
R. Bentivoglio, E. Isufi, S. N. Jonkman and R. Taormina, Multi-scale Hydraulic-based Graph Neural Networks: Generalizing Spatial Flood Mapping to Irregular Meshes and Time-Varying Boundary Condition, European Geoscience Union (EGU) General Assembly, 2024.
R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi, Evolution Backcasting of Edge Flows from Partial Observations Using Simplicial Vector Autoregressive Models, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), South Korea, Apr. 2024.
A. Möllers, A. Immer, V. Fortuin and E. Isufi, Hodge-Aware Contrastive Learning, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), South Korea, Apr. 2024. (invited paper)
A. Buciulea, E. Isufi, G. Leus and A. G. Marques, Learning Graphs and Simplicial Complexes from Data, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), South Korea, Apr. 2024.
M. Sabbaqi and E. Isufi, Inferring Time Varying Signals over Uncertain Graphs, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), South Korea, Apr. 2024.
B. Das and E. Isufi, Tensor Graph Decomposition for Temporal Networks, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), South Korea, Apr. 2024.
A. Möllers, A. Immer, E. Isufi and V. Fortuin, Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks, 5th Symposium on Advances in Approximate Bayesian Inference, collocated with ICML, July 2023.
M. Sabbaqi and E. Isufi, Graph-Time Trend Filtering and Unrolling Network, EURASIP European Signal Processing Conference (EUSIPCO), Helsinki, Finland, Sep. 2023.
A. S. Roca, A. G. Díaz, E. Isufi and R. Taormina, EPANET Metamodels with Deep Unrolling of the Global Gradient Algorithm, WSDA / CCWI Joint Conference, 2023.
R. Bentivoglio, E. Isufi, S. N. Jonkman and R. Taormina, On the Generalization of Hydraulic-Inspired Graph Neural Networks for Spatio-temporal Flood Simulations, European Geoscience Union (EGU) General Assembly, April 2023. [Link]
J. Krishnan, R. Money, B. Beferull-Lozano and E. Isufi, Simplicial Vector Autoregressive Model for Streaming Edge Flows, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), Greece, June. 2023. (top 3% recognition award)
B. Das and E.Isufi, Online Vector Autoregressive Models over Expanding Graphs, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), Greece, June. 2023. (invited paper)
M. Yang, B. Das and E.Isufi, Online Edge Flow Prediction over Expanding Simplicial Complexes, IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), Greece, June. 2023. (invited paper)
M. Sabbaqi, R. Taormina, A. Hanjalic and E. Isufi, Graph-Time Convolutional Autoencoders, Proceedings of the First Learning on Graphs Conference (Log 2022), PMLR 198, Virtual, Dec. 2022
Z. Gao and E. Isufi, Learning Stable Graph Neural Networks via Spectral Regularization, IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Nov. 2022. [PDF] (invited paper)
M. Yang and E. Isufi, Simplicial Trend Filtering, IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Nov. 2022. (invited paper)
B. Das and E. Isufi, Online Filtering over Expanding Graphs, IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Nov. 2022. (finalist best student paper award)
R. Bentivoglio, E. Isufi, S. Nicolaas and R. Taormina, Graph Neural Networks for Dike Breach Flood Mapping, 9th International Conference on Flood Management (ICFM9), 2022.
R. Bentivoglio, B. Kerimov, J. A. G. Diaz, E. Isufi, F. Tscheikner-Grati, D. B. Steffelbauer, R. Taormina, Assessing the Performance and Transferability of Graph Neural Network Metamodels for Water Distribution Systems, WSDA / CCWI Joint Conference, 2022.
Y. He, M. Coutino, E. Isufi, and G. Leus, Dynamic Bi-colored Graph Partitioning, in the EURASIP European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, Aug. 2022. [PDF] (invited paper)
B. Das and E. Isufi, Graph Filtering Over Expanding Graphs, in the IEEE Data Science and Learning Workshop (DSLW), Singapore, May. 2022. [PDF] (best student paper award)
E. Isufi and M. Yang, Convolutional Filters for Simplicial Complexes, in the IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), Singapore, May. 2022. [PDF]
M. Yang, E. Isufi and G. Leus, Simplicial Convolutional Neural Networks, in the IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), Singapore, May. 2022. [PDF] (invited paper)
B. Das and E. Isufi, Learning Expanding Graphs for Signal Interpolation, in the IEEE International Conference on Acoustic, Speech and Signal Processing, (ICASSP), Singapore, May. 2022. [PDF]
A. Natali, E. Isufi, M. Coutino and G. Leus, Online Graph Learning from Time-Varying Structural Equation Models, in the IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Nov. 2021. (invited paper)
M. Yang, E. Isufi, M. T. Schaub and G. Leus, Finite Impulse Response Filters for Simplicial Complexes, in Proceedings of EURASIP European Signal Processing Conference (EUSIPCO), Dublin, Irland, Aug. 2021. [PDF]
K. Zhang, M. Coutino and E. Isufi, Sampling Graph Signal with Sparse Dictionary Representation, in Proceedings of EURASIP European Signal Processing Conference (EUSIPCO), Dublin, Irland, Aug. 2021. [PDF]
E. Isufi and G. Mazzola, Graph-Time Convolutional Neural Networks, in Proceedings of the IEEE Data Science and Learning Workshop, Toronto, Ontario, Canada, Jun. 2021. [Code] [PDF] (audience choice award)
A. Garzon, R. Bentivoglio, E. Isufi, Z. Kapelan and R. Taormina, Modeling Water Distribution Systems with Graph Neural Networks, European Geoscience Union (EGU) General Assembly, 2021.
L. Ruiz, F. Gama, A. Ribeiro and E. Isufi, Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, Jun. 2021. [PDF]
G. Leus, M. Yang, M. Coutino and E. Isufi, Topological Volterra Filters, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, Jun. 2021. [PDF]
A. Natali, M. Coutino, E. Isufi and G. Leus, Online Time-Varying Topology Identification via Prediction-Correction Algorithms, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, Jun. 2021. [PDF]
Z. Gao, E. Isufi and A. Ribeiro, Variance-Constrained Learning for Stochastic Graph Neural Networks, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Ontario, Canada, Jun. 2021. [PDF]
R. Taormina and E. Isufi, Geometric Deep Learning for Modeling, Prediction and Forecasting in Urban Water Systems, Advancing Earth and Space Science (AGU) Fall Meeting, Dec. 2020. (invited paper)
O. Rimleanscaia and E. Isufi, Rational Chebyshev Graph Filters, in Proceedings of the IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Nov. 2020. [PDF]
B. Iancu, L. Ruiz, A. Ribeiro and E. Isufi, Graph-Adaptive Activation Functions For Graph Neural Networks, in Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, Espoo, Finland, Sep. 2020. [Code] [PDF]
B. Iancu and E. Isufi, Towards Finite-Time Consensus with Graph Convolutional Neural Networks, in Proceedings of the EURASIP European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands, Aug. 2020. [PDF] [Code]
M. Yang, M. Coutino, E. Isufi and G. Leus, Node Varying Regularization for Graph Signals, in Proceedings of the EURASIP European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands, Aug. 2020. [PDF] (invited paper)
M. Coutino, E. Isufi, T. Maehara and G. Leus, State-Space Based Network Topology Identification, in Proceedings of the EURASIP European Signal Processing Conference (EUSIPCO), Amsterdam, The Netherlands, Aug. 2020. [PDF]
B. Das, E. Isufi and G. Leus, Active Semi-supervised Learning for Diffusions on Graphs, in Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May. 2020. (invited paper) [PDF]
Z. Gao, E. Isufi and A. Ribeiro, Stochastic Graph Neural Networks, in Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May. 2020. [PDF]
A. Natali, E. Isufi and G. Leus, Forecasting Multi-dimensional Graph Processes over Graphs, in Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May. 2020. [PDF]
L. B. Saad, E. Isufi, and B. Beferull-Lozano, Graph Filtering with Quantization over Random Time-varying Graphs, in Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, Canada, Nov. 2019. [PDF]
M. Coutino, E. Isufi, F. Gama, A. Ribeiro and G. Leus, Design Strategies for Sparse Control of Random Time-Varying Networks, in Proceedings of the IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Oct. 2019. [PDF] (invited paper)
E. Isufi, F. Gama and A. Ribeiro, Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs, in Proceedings of the the EURASIP European Signal Processing Conference (EUSIPCO), A Coruña, Spain, Sep. 2019. [PDF] [Code] [BibTex]
M. Sun, E. Isufi, N. M. S. de Groot and R. C. Hendriks, A Graph Signal Processing Framework for Atrial Activity Extraction, in Proceedings of the EURASIP European Signal Processing Conference (EUSIPCO), A Coruña, Spain, Sep. 2019. [PDF]
R. Levie, E. Isufi and G. Kutyniok, On the Transferability of Spectral Graph Filters, in Proceedings of the 2019 IEEE International Conference on Sampling Theory and Applications (SAMPTA), Bordeaux, France, Jul. 2019. [PDF] [BibTex]
E. Isufi, P. Banelli, P. Di Lorenzo and G. Leus, Observing Bandlimited Graph Processes from Subsampled Measurements, in Proceedings of the IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Oct. 2018. [PDF] [BibTex]
M. Coutino, E. Isufi and G. Leus, On the Limits of Finite Time Distributed Consensus through Graph Filters, in Proceedings of the IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Oct. 2018. [PDF] [BibTex] (invited paper)
E. Isufi, P. Di Lorenzo, P. Banelli and G. Leus, Distributed Wiener-Based Reconstruction of Graph Signals, in Proceedings of the 2018 IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, Jun. 2018. [PDF] [BibTex]
F. Gama, E. Isufi, G. Leus and A. Ribeiro, Control of Graph Signals Over Random Time-Varying Graphs, in Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2018. [PDF] [BibTex]
M. Coutino, E. Isufi and G. Leus, Distributed Edge-Variant Graph Filters, in Proceedings of the IEEE 2017 International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, Dec. 2017. [PDF] [BibTex] (best student paper award)
A. Loukas, E. Isufi and N. Perraudin, Predicting the Evolution of Stationary Graph Signals, in Proceedings of the IEEE Asilomar Conference on Signals, Systems and Computations, Pacific Grove, USA, Oct. 2017. [PDF] [BibTex] (invited paper)
J. Liu, E. Isufi and G. Leus, Autoregressive Moving Average Graph Filter Design, in Proceedings of the 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada, Nov. 2017. [PDF] [BibTex]
P. Di Lorenzo, E. Isufi, P. Banelli, S. Barbarossa and G. Leus, Distributed Recursive Least Squares Strategies for Adaptive Reconstruction of Graph Signals, in Proceedings of EURASIP European Signal Processing Conference (EUSIPCO), Kos, Greece, Aug. 2017. [PDF] [BibTex]
E. Isufi, A. Loukas and G. Leus, Autoregressive Moving Average Graph Filters - A Stable Distributed Implementation, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, Mar. 2017. [PDF] [BibTex] (student travel grant award)
E. Isufi and G. Leus, Distributed Sparsified Graph Filters for Denoising and Diffusion Tasks, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, Mar. 2017. [PDF] [BibTex] (student travel grant award)
E. Isufi, P. Banelli and G. Leus, 2-Dimensional Finite Impulse Response Graph-Temporal Filters, in Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington DC, USA, Dec. 2016. [PDF] [BibTex]
E. Isufi, A. Loukas, A. Simonetto and G. Leus, Separable Autoregressive Moving Average Graph-Temporal Filters, in Proceedings of the EURASIP European Signal Processing Conference (EUSIPCO), Budapest, Hungary, Aug. 2016. [PDF] [BibTex]
J. Liu, E. Isufi and G. Leus, Autoregressive Moving Average Graph Filter Design, in Proceedings of the 6th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux, Louvain-la-Neuve, Belgium, May 2016. [PDF] [BibTex]
E. Isufi, A. Simonetto, A. Loukas and G. Leus, Stochastic Graph Filtering on Time-Varying Graphs, in Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, Dec. 2015. [PDF] [BibTex]
E. Isufi, H. Dol and G. Leus, Network Coding for Flooding-Based Routing in Underwater Sensor Networks, in Proceedings of the ACM International Conference on Underwater Networks and Systems (WUWNET'14), Rome, Italy, Nov. 2014. [PDF] [BibTex]
Thesis
E. Isufi, Graph-Time Signal Processing: Filtering and Sampling Strategies, Ph. D. thesis, Delft University of Technology, Jan. 2019. [PDF] [BibTex] (2022 IEEE Signal Processing Society Best PhD Dissertation Award)
E. Isufi, Network Coding for Flooding-Based Routing in Underwater Sensor Networks, M. Sc. thesis, University of Perugia, Sep. 2014. [PDF] [BibTex]