Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc E. Isufi

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Jan 2019): Graph-time signal processing: Filtering and sampling strategies
Promotor: Geert Leus

Expertise: Signal Processing on Graphs

Themes: XG - Next Generation Sensing and Communication

Biography

Elvin Isufi was born in Albania in 1989. He received his Master of Science degree (cum laude) in Electronic and Telecommunication Engineering from University of Perugia, Italy, in 2014. From November 2013 to August 2014 he was a visiting member at Circuits and Systems group, Delft University of Technology, where he worked on his master thesis. From November 2014 until January 2019 he pursued the Ph. D. degree on signal processing on graphs at Delft University of Technology. His research interests include signal processing on graphs, specifically implementation of graph filters by ARMA recursion and stochastic signal processing on graphs, network coding and underwater communications.

DSAIT4305 Graph machine learning

machine and deep learning for network data

Graph Signal Processing in Action

Graph signal processing, Graph topology identification, Graph filtering, Dynamic graphs, Graph learning, Functional ultrasound, Recommender systems

  1. Topological signal processing and learning: Recent advances and future challenges
    Elvin Isufi; Geert Leus; Baltasar Beferull-Lozano; Sergio Barbarossa; Paolo Di Lorenzo;
    Signal Processing,
    Volume 233, pp. 109930, 2025. DOI: 10.1016/j.sigpro.2025.109930
    document

  2. Hodge-Aware Convolutional Learning on Simplicial Complexes
    Maosheng Yang; Geert Leus; Elvin Isufi;
    Transactions on Machine Learning Research,
    Volume 2025, 2025.
    document

  3. Directed Acyclic Hypergraphs: Topology Identification from Nodal Data
    Geert Leus; Yongsheng Han; Elvin Isufi; Antonio G. Marques;
    In 2025 59th Asilomar Conference on Signals, Systems, and Computers,
    pp. 176-181, 2025. DOI: 10.1109/IEEECONF67917.2025.11443873
    document

  4. Scalable Higher-Order Topology Identification from Nodal Observations
    Ruben Wijnands; Andrea Cavallo; Borbála Hunyadi; Elvin Isufi; Geert Leus;
    In 2025 IEEE 10th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
    pp. 101-105, 2025. DOI: 10.1109/CAMSAP66162.2025.11423970
    document

  5. Tracking Network Dynamics using Probabilistic State-Space Models
    Victor M. Tenorio; Elvin Isufi; Geert Leus; Antonio G. Marques;
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10890647
    document

  6. Unrolling of Simplicial ElasticNet for Edge Flow Signal Reconstruction
    Liu, Chengen; Leus, Geert; Isufi, Elvin;
    IEEE Open Journal of Signal Processing,
    Volume 5, pp. 186-194, 2024. DOI: 10.1109/OJSP.2023.3339376

  7. Learning the Topology of a Simplicial Complex Using Simplicial Signals: A Greedy Approach
    Andrei Buciulea; Elvin Isufi; Geert Leus; Antonio G. Marques;
    In 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM),
    pp. 1-5, 2024. DOI: 10.1109/SAM60225.2024.10636498
    document

  8. Learning Time-Varying Graphs From Online Data
    Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
    IEEE Open Journal of Signal Processing,
    Volume 3, pp. 212--228, 2022. DOI: 10.1109/OJSP.2022.3178901

  9. Simplicial Convolutional Filters
    Maosheng Yang; Elvin Isufi; Michael T. Schaub; Geert Leus;
    IEEE Trans. Signal Processing,
    Volume 70} pages = {4633-4648, 2022. DOI: 10.1109/TSP.2022.3207045
    document

  10. Simplicial Convolutional Neural Networks
    Yang, Maosheng; Isufi, E.; Leus, G.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Singapore, pp. 8847--8851, May 2022. DOI: 10.1109/ICASSP43922.2022.9746017

  11. Dynamic Bi-Colored Graph Partitioning
    Yanbin He; Mario Coutino; Elvin Isufi; Geert Leus;
    In 30th European Signal Processing Conference (EUSIPCO),
    pp. 692-696, 2022.
    document

  12. Node-Adaptive Regularization for Graph Signal Reconstruction
    Yang, Maosheng; Coutino, M.; Leus, G.; Isufi, E.;
    IEEE Open Journal of Signal Processing,
    Volume 2, pp. 85--98, 2021. DOI: 10.1109/OJSP.2021.3056897

  13. Online Graph Learning From Time-Varying Structural Equation Models
    Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
    In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar),
    Monterey, California, USA, pp. 1579--1585, October 2021. DOI: 10.1109/IEEECONF53345.2021.9723163

  14. Finite Impulse Response Filters for Simplicial Complexes
    Yang, Maosheng; Isufi, E.; Schaub, M.T.; Leus, G.;
    In Proc. of European Signal Processing Conference (EUSIPCO),
    Dublin, Ireland, pp. 2005--2009, August 2021. DOI: 10.23919/EUSIPCO54536.2021.9616185

  15. Topological Volterra Filters
    Leus, G.; Yang, Maosheng; Coutino, M.; Isufi, E.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Toronto, Ontario, Canada, pp. 5385--5399, June 2021. DOI: 10.1109/ICASSP39728.2021.9414275

  16. Online Time-Varying Topology Identification Via Prediction-Correction Algorithms
    Natali, A.; Coutino, M.; Isufi, E.; Leus, G.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Rio de Janeiro, Brazil, pp. 5400--5404, July 2021. DOI: 10.1109/ICASSP39728.2021.9415053

  17. Graph-Time Spectral Analysis for Atrial Fibrillation
    Miao Sun; Elvin Isufi; Natasja M.S. de Groot; Richard C. Hendriks;
    Biomedical Signal Processing and Control,
    Volume 59, May 2020. DOI: https://doi.org/10.1016/j.bspc.2020.101915
    document

  18. Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
    F. Gama; E. Isufi; G. Leus; A. Ribeiro;
    IEEE Signal Processing Magazine,
    Volume 37, Issue 6, pp. 128-138, 2020. DOI: 10.1109/MSP.2020.3016143
    document

  19. State-Space Network Topology Identification From Partial Observations
    M. Coutino; E. Isufi; T. Maehara; G. Leus;
    IEEE Transactions on Signal and Information Processing over Networks,
    Volume 6, pp. 211-225, 2020. DOI: 10.1109/TSIPN.2020.2975393
    document

  20. Observing and Tracking Bandlimited Graph Processes from Sampled Measurements
    E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
    Signal Processing,
    Volume 177, pp. 107749, December 2020.

  21. Node varying regularization for graph signals
    Maosheng Yang; M. Coutino; E. Isufi; G. Leus;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 845-849, August 2020.
    document

  22. State-space based network topology identification
    M. Coutino; E. Isufi; T. Maehara; G. Leus;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 1055-1059, August 2020.
    document

  23. Forecasting multi-dimensional processes over graphs
    Alberto Natali; Elvin Isufi; Geert Leus;
    In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    Barcelona (Spain), May 2020. DOI: 10.1109/ICASSP40776.2020.9053522
    document

  24. Active Semi-Supervised Learning for Diffusions on Graphs
    B. Das; E. Isufi; G. Leus;
    In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 9075-9079, 2020. DOI: 10.1109/ICASSP40776.2020.9054300
    document

  25. Advances in Distributed Graph Filtering
    M. Coutino; E. Isufi; G. Leus;
    IEEE Tr. Signal Processing,
    Volume 67, Issue 9, pp. 2320-2333, May 2019. DOI: 10.1109/TSP.2019.2904925
    document

  26. Filter Design for Autoregressive Moving Average Graph Filters
    Jiani Liu; E. Isufi; G. Leus;
    IEEE Transactions on Signal and Information Processing over Networks,
    Volume 5, Issue 1, pp. 47-60, March 2019. DOI: 10.1109/TSIPN.2018.2854627
    document

  27. Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs
    F. Gama; E. Isufi; A. Ribeiro; G. Leus;
    IEEE Trans. on Signal Processing,
    Volume 67, Issue 24, pp. 6440--6454, December 2019. DOI: 10.1109/TSP.2019.2952053

  28. Forecasting Time Series With VARMA Recursions on Graphs
    E. Isufi; A. Loukas; N. Perraudin; G. Leus;
    IEEE Trans. on Signal Processing,
    Volume 67, Issue 18, pp. 4870--4885, September 2019. DOI: 10.1109/TSP.2019.2929930

  29. A Graph Signal Processing Framework for Atrial Activity Extraction
    Miao Sun; Elvin Isufi; M.S de Groot; Richard C. Hendriks;
    In 27th European Signal Processing Conference (EUSIPCO 2019),
    2019.
    document

  30. Design Strategies for Sparse Control of Random Time-Varying Networks
    M. Coutino; E. Isufi; F. Gama; A. Ribeiro; G. Leus;
    In Proc. of Asilomar Conf. on Signals, Systems, and Computers (Asilomar),
    Pacific Grove, California, USA, pp. 184--188, November 2019. DOI: 10.1109/IEEECONF44664.2019.9049024

  31. Graph-time signal processing
    E. Isufi;
    PhD thesis, TU Delft, Fac. EEMCS, January 2019. ISBN: 978-94-028-1353-1. DOI: 10.4233/uuid:e52cc182-457c-4687-baee-d0f72af36950
    document

  32. Filter design for autoregressive moving average graph filters
    Jiani Liu; E. Isufi; G. Leus;
    IEEE Transactions on Signal and Information Processing over Networks,
    2018. ISSN: 2373-776X. DOI: 10.1109/TSIPN.2018.2854627
    document

  33. Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
    P. Di Lorenzo; P. Banelli; E. Isufi; S. Barbarossa; G. Leus;
    IEEE Transactions on Signal Processing,
    Volume 66, Issue 13, pp. 3584-3598, July 2018. ISSN: 1053-587X. DOI: 10.1109/TSP.2018.2835384
    document

  34. Blind Graph Topology Change Detection
    E. Isufi; A. S. U. Mahabir; G. Leus;
    IEEE Signal Processing Letters,
    Volume 25, Issue 5, pp. 655-659, May 2018. ISSN: 1070-9908. DOI: 10.1109/LSP.2018.2819127
    document

  35. Control of graph signals over random time-varying graphs
    F. Gama; E. Isufi; G. Leus; A. Ribeiro;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 4169-4173, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462381
    document

  36. Edge-Variant Graph Filters
    G. Leus; M. Coutino; E. Isufi;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), IEEE, June 2018.

  37. Observing Bandlimited Graph Processes
    E. Isufi; G. Leus; P. Banelli; P. Di Lorenzo;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  38. Blind Graph Topology Change Detection
    E. Isufi; G. Leus;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  39. Distributed Wiener-Based Reconstruction of Graph Signals
    E. Isufi; P. Di Lorenzo; P. Banelli; G. Leus;
    In 2018 IEEE Statistical Signal Processing Workshop (SSP),
    pp. 21-25, June 2018. DOI: 10.1109/SSP.2018.8450828
    document

  40. Observing Bandlimited Graph Processes from Subsampled Measurements
    E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    IEEE, November 2018.

  41. On the Limits of Finite-Time Distributed Consensus through Successive Local Linear Operations
    M. Coutino; E. Isufi; G. Leus;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    IEEE, November 2018.

  42. Autoregressive Moving Average Graph Filtering
    E. Isufi; A. Loukas; A. Simonetto; G. Leus;
    IEEE Trans. Signal Processing,
    Volume 65, Issue 2, pp. 274-288, January 2017. DOI: 10.1109/TSP.2016.2614793
    document

  43. Filtering Random Graph Processes Over Random Time-Varying Graphs
    E. Isufi; A. Loukas; A. Simonetto; G. Leus;
    IEEE Transactions on Signal Processing,
    Volume 65, Issue 16, pp. 4406-4421, August 2017. ISSN: 1053-587X. DOI: 10.1109/TSP.2017.2706186
    document

  44. Autoregressive moving average graph filters--a stable distributed implementation
    E. Isufi; A. Loukas; G. Leus;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 4119-4123, March 2017. DOI: 10.1109/ICASSP.2017.7952931
    document

  45. Distributed sparsified graph filters for denoising and diffusion tasks
    E. Isufi; G. Leus;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 5865-5869, March 2017. DOI: 10.1109/ICASSP.2017.7953281
    document

  46. Distributed Recursive Least Squares Strategies for Adaptive Reconstruction of Graph Signals
    P. Di Lorenzo; E. Isufi; P. Banelli; S. Barbarossa; G. Leus;
    In 25th European Signal Processing Conference (EUSIPCO 2017),
    Kos (Greece), EURASIP, pp. 2353-2357, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081618
    document

  47. Autoregressive moving average graph filter design
    Jiani Liu; E. Isufi; G. Leus;
    In 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP),
    Montreal, Canada, IEEE, pp. 593-597, November 2017.
    document

  48. Distributed Edge-Variant Graph Filters
    M. Coutino; E. Isufi; G. Leus;
    In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
    Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.

  49. Advanced flooding-based routing protocols for underwater sensor networks
    E. Isufi; H. Dol; G. Leus;
    EURASIP Journal on Advances in Signal Processing,
    Volume 2016:52, Issue 1, pp. 1-12, January 2016. DOI: 10.1186/s13634-016-0346-y
    document

  50. Separable Autoregressive Moving Average Graph-Temporal Filters
    E. Isufi; A. Loukas; A. Simonetto; G. Leus;
    In EUSIPCO,
    Budapest (Hungary), August 2016.
    document

  51. 2-Dimensional Finite Impulse Response Graph-Temporal Filters
    E. Isufi; G. Leus; P. Banelli;
    In IEEE Global Conference on Signal and Information Processing (GlobalSIP),
    Washington DC, USA, IEEE, December 2016.
    document

  52. Autoregressive Moving Average Graph Filter Design
    Jiani Liu; E. Isufi; G. Leus;
    In 6th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux,
    IEEE, 2016.
    document

  53. Stochastic Signal Processing on Time-Varying Graphs
    E. Isufi; A. Simonetto; A. Loukas; G. Leus;
    In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
    Cancun, Mexico, December 2015.
    document
    Extended version

  54. Network Coding for Flooding-Based Routing in Underwater Sensor Networks
    E. Isufi; G. Leus; H. Dol;
    In Proceedings of the International Conference on Underwater Networks and Systems (WUWNET'14),
    Rome, Italy, ACM, November 2014. ISBN 978-1-4503-3277-4. DOI: 10.1145/2671490.2674570
    document

BibTeX support

Last updated: 4 Apr 2019

Elvin Isufi

Alumnus

MSc students