Stojan Trajanovski

Theses

Publications

Journals

  1. X. Yue, S. Yang, L. Zhu, S. Trajanovski, F. Li, and X. Fu, Exploiting Wide-Area Resource Elasticity with Fine-Grained Orchestration for Serverless Analytics, IEEE/ACM Transactions on Networking (ToN), 2025, to appear. (pdf) | (external link) | (BibTeX)
  2. N. He, S. Yang, F. Li, S. Trajanovski, L. Zhu, Y.Wang, and X. Fu, Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 34, no. 4, pp. 1186-1201, January, 2023. (pdf) | (external link) | (BibTeX)
  3. Y. Gao, S. Yang, F. Li, S. Trajanovski, P. Zhou, P. Hui, and X. Fu, Video Content Placement at the Network Edge: Centralized and Distributed Algorithms, IEEE Transactions on Mobile Computing (TMC), 2022. (pdf) | (external link) | (BibTeX)
  4. S. Trajanovski, C. Shan, P. J. C. Weijtmans, S. G. Brouwer de Koning, and T. J. M. Ruers, Tongue tumor detection in hyperspectral images using deep learning semantic segmentation, IEEE Transactions on Biomedical Engineering (TBME), vol. 68, no. 4, pp. 1330-1340, April, 2021. (pdf) | (external link) | (BibTeX)
  5. S. Trajanovski, D. Mavroeidis, C. Leon Swisher, B. Gebrekidan Gebre, B. S. Veeling, R. Wiemker, T. Klinder, A. Tahmasebi, S. M. Regis, C. Wald, B. J. McKee, S. Flacke, H. MacMahon, and H. Pien, Towards radiologist-level cancer risk assessment in CT lung screening using deep learning, Computerized Medical Imaging And Graphics, Elsevier, p. 101883, 2021. [arXiv record, abs/1804.01901, April, 2018 (v1), April, 2019 (v2)]. (pdf) | (external link) | (arXiv link) | (BibTeX)
  6. S. Yang, F. Li, S. Trajanovski, R. Yahyapour, and X. Fu, Recent Advances of Resource Allocation in Network Function Virtualization, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 32, no. 2, pp. 295-314, February, 2021. (pdf) | (external link) | (BibTeX)
  7. M. A. Achterberg, B. Prasse, L. Ma, S. Trajanovski, M. Kitsak, and P. Van Mieghem, Comparing the accuracy of several network-based COVID-19 prediction algorithms, International Journal of Forecasting (IJF), Elsevier, 2020, forthcoming. (pdf) | (external link) | (BibTeX)
  8. S. Yang, F. Li, S. Trajanovski, X. Chen, Y. Wang, and X. Fu, Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds, IEEE Transactions on Mobile Computing (TMC), vol. 20, no. 2, pp. 445-459, February 1, 2021. (pdf) | (external link) | (BibTeX)
  9. S. Yang, N. He, F. Li, S. Trajanovski, X. Chen, Y. Wang, and X. Fu, Survivable Task Allocation in Cloud Radio Access Networks with Mobile Edge Computing, IEEE Internet of Things Journal (JIoT), vol. 8, no. 2, pp. 1095-1108, January 15, 2021. (pdf) | (external link) | (BibTeX)
  10. S. Yang, F. Li, S. Trajanovski, and X. Fu, Traffic routing in stochastic network function virtualization networks, Journal of Network and Computer Applications (JCNA), Elsevier, vol. 169, pp. 102765, November, 2020. (pdf) | (external link) | (BibTeX)
  11. S. Trajanovski, F. A. Kuipers, Y. Hayel, E. Altman, and P. Van Mieghem, Designing virus-resistant, high-performance networks: a game-formation approach, IEEE Transactions on Control of Network Systems (TCNS), vol. 5, no. 4, pp. 1682-1692, December, 2018. (pdf) | (external link) | (arXiv link) | (BibTeX)
  12. S. Yang, P. Wieder, R. Yahyapour, S. Trajanovski, and X. Fu, Reliable Virtual Machine Placement and Routing in Clouds, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 28, no. 10, pp. 2965-2978, October, 2017. (pdf) | (external link) | (arXiv link) | (BibTeX)
  13. X. Wang, S. Trajanovski, R. E. Kooij, and P. Van Mieghem, Degree distribution and assortativity in line graphs of complex networks, Physica A, vol. 445, pp. 343-356, Elsevier, March, 2016. (pdf) | (external link) | (BibTeX)
  14. S. Trajanovski, D. Guo, and P. Van Mieghem, From epidemics to information propagation: Striking differences in structurally similar adaptive network models, Physical Review E (PRE) - Rapid Communications, vol. 92, no. 3, p. 030801(R), September, 2015. (pdf) | (external link) | (BibTeX)
  15. S. Yang, S. Trajanovski, and F. A. Kuipers, Optimization Problems in Correlated Networks, Computational Social Networks, vol. 3, no. 1, Springer, 2016. (pdf) | (external link) | (arXiv link) | (BibTeX)
  16. S. Trajanovski, F. A. Kuipers, A. Ilić, J. Crowcroft, and P. Van Mieghem, Finding Critical Regions and Region-Disjoint Paths in a Network, IEEE/ACM Transactions on Networking (ToN), vol. 23, no. 3, pp. 908–921, IEEE, June, 2015. (pdf) | (external link) | (BibTeX)
  17. S. Yang, S. Trajanovski, and F. A. Kuipers, Availability-Based Path Selection and Network Vulnerability Assessment, Networks, Wiley, vol. 66, no. 4, pp. 306-319, December, 2015. (pdf) | (external link) | (BibTeX)
  18. S. Trajanovski, Y. Hayel, E. Altman, H. Wang, and P. Van Mieghem, Decentralized Protection Strategies against SIS Epidemics in Networks, IEEE Transactions on Control of Network Systems (TCNS), vol. 2, no. 4, pp. 406-419, December, 2015. (pdf) | (external link) |  (BibTeX).[1]
  19. D. Liu, S. Trajanovski, and P. Van Mieghem, ILIGRA: An Efficient Inverse Line Graph Algorithm, Journal of Mathematical Modelling and Algorithms in Operations Research (JMMA), vol. 14, no. 1, pp. 13-33, Springer, March, 2015. (pdf) | (external link) | (BibTeX)
  20. D. Guo, S. Trajanovski, R. van de Bovenkamp, H. Wang, and P. Van Mieghem, Epidemic threshold and topological structure of susceptible-infectious-susceptible epidemics in adaptive networks, Physical Review E (PRE), vol. 88, no. 4, 042802, Oct. 2013. (pdf) | (external link) | (BibTeX)
  21. S. Trajanovski, J. Martín-Hernández, W. Winterbach, and P. Van Mieghem, Robustness Envelopes of Networks, Journal of Complex Networks (JCN), vol. 1, no. 1, pp. 44-62, Oxford University Press, 2013. (pdf) | (external link) | (BibTeX)
  22. D. Liu, S. Trajanovski, and P. Van Mieghem, Random line graphs and a linear law for assortativity, Physical Review E (PRE), vol. 87, no. 1, 012816, Jan. 2013. (pdf) | (external link) | (BibTeX)
  23. S. Trajanovski, F. A. Kuipers, J. Martín-Hernández, and P. Van Mieghem, Generating graphs that approach a prescribed modularity, Computer Communications (ComCom), Elsevier, vol. 36, no. 4, pp. 363-372, 2013. (pdf) | (external link) | (BibTeX)
  24. S. Trajanovski, H. Wang, and P. Van Mieghem, Maximum modular graphs, The European Physical Journal B (EPjB), vol. 85, no. 7, art. 244, July, 2012. (pdf) | (external link) | (BibTeX)
  25. S. Trajanovski, S. Scellato, and I. Leontiadis, Error and attack vulnerability of temporal networks, Physical Review E (PRE), vol. 85, no. 6, 066105, June, 2012. (pdf) | (external link) | (BibTeX)
  26. P. Van Mieghem, X. Ge, P. Schumm, S. Trajanovski, and H. Wang, Spectral Graph Analysis of Modularity and Assortativity, Physical Review E (PRE), vol. 82, no. 5, 056113, Nov. 2010. (pdf) | (external link) | (BibTeX)

Peer-reviewed conferences

  1. S. Mahabadi*, and S. Trajanovski*, Core-sets for Fair and Diverse Data Summarization, NeurIPS 2023 (Neural Information Processing Systems), vol. 36, December 10-16, 2023, New Orleans, LA, USA. (pdf) | (external link) | (BibTeX) | (arXiv link) | (poster) | (slides) | *equal contrib.
  2. X. Yue, S. Yang, L. Zhu, S. Trajanovski, and X. Fu, Demeter: Fine-grained Function Orchestration for Geo-distributed Serverless Analytics, INFOCOM (Intl. Conf. on Computer Communications), pp. 2498-2507, IEEE, May 20-23, 2024, Vancouver, BC, Canada. (pdf) | (external link) | (BibTeX) [acc. rate: 19.6%]
  3. S. Trajanovski, C. Atalla, K. Kim, V. Agarwal, M. Shokouhi, and Chris Quirk, When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages, NAACL (Annual Conf. of the North American Chapter of the Association for Computational Linguistics), June 6–11, 2021, Mexico City, Mexico (moved online). (pdf) | (external link) |  (BibTeX)
  4. N. He, S. Yang, F. Li, S. Trajanovski, F. A. Kuipers, and X. Fu, A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV, IEEE/ACM IWQoS (International Symposium on Quality of Service), June 25-28, 2021, Tokyo, Japan (moved online). (pdf) | (external link) |  (BibTeX)
  5. S. Trajanovski, C. Shan, P. J. C. Weijtmans, S. G. Brouwer de Koning, and T. J. M. Ruers, Tumor Semantic Segmentation in Hyperspectral Images using Deep Learning, MIDL (International Conference on Medical Imaging with Deep Learning) - extended abstract, July 8-10, 2019, London, UK. (pdf) | (external link) |  (BibTeX)
  6. A. Saeed, T. Ozcelebi, S. Trajanovski, and J. Lukkien, End-to-End Multi-Modal Behavioral Context Recognition in a Real-Life Setting, FUSION (22nd International Conference on Information Fusion), July 2-5, 2019, Ottawa, Canada. (pdf) | (external link) | (arXiv link) | (BibTeX)
  7. G. Polevoy, S. Trajanovski, P. Grosso, and C. de Laat, Removing Undesirable Flows by Edge Deletion, COCOA (Intl. Conference on Combinatorial Optimization and Applications), vol. 11346, pp. 217-232, LCNS, Springer, December 15-17, 2018, Atlanta, GA, USA. (pdf) | (external link) | (BibTeX)
  8. A. Saeed, T. Ozcelebi, J. Lukkien, J. B. F. van Erp, and S. Trajanovski, Model Adaptation and Personalization for Physiological Stress Detection, DSAA (Intl. Conference on Data Science and Advanced Analytics), IEEE, October 1-3, 2018, Turin, Italy. (pdf) | (external link) | (BibTeX)
  9. G. Polevoy, S. Trajanovski, P. Grosso, and C. de Laat, Filtering Undesirable Flows in Networks, COCOA (Intl. Conference on Combinatorial Optimization and Applications), vol. 10627, pp. 3-17, LCNS, Springer, December 16-18, 2017, Shanghai, China. (pdf) | (external link) | (BibTeX) | (code)
  10. A. Saeed and S. Trajanovski, Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals, NIPS workshop (Neural Information Processing Systems) on Machine Learning for Health (ML4H), 8 December, 2017, Long Beach, CA, USA. (pdf) | (arXiv link) | (BibTeX) [spotlight talk 10.3% of the accepted; travel grant award]
  11. A. Saeed, S. Trajanovski, M. van Keulen, and J. van Erp, Deep Physiological Arousal Detection in a Driving Simulator using Wearable Sensors, ICDM workshops (Intl. Conference on Data Mining - workshop: Data Mining in Biomedical Informatics and Healthcare DMBIH), pp. 486-493, IEEE, November, 2017, New Orleans, LA, USA. (pdf) | (external link) | (BibTeX)
  12. F. Iqbal, S. Trajanovski, and F. A. Kuipers, Detection of Spatially-Close Fiber Segments in Optical Networks, DRCN (12th Intl. Conference on the Design of Reliable Communication Networks), IEEE, 2016, Paris, France. (pdf) | (external link) | (BibTeX)
  13. S. Trajanovski, F. A. Kuipers, Y. Hayel, E. Altman, and P. Van Mieghem, Designing virus-resistant networks: a game-formation approach, CDC (54th Conference on Decision and Control), pp. 294-299, IEEE, December 15-18, 2015, Osaka, Japan. (pdf) | (external link) | (BibTeX)
  14. S. Yang, S. Trajanovski, and F. A. Kuipers, Shortest Paths in Networks with Correlated Link Weights, INFOCOM workshops (Workshop on Inter-Dependent Networks-WIDN), pp. 660-665, IEEE, April 26 - May 1, 2015, Hong Kong, China. (pdf) | (external link) | (BibTeX)
  15. Y. Hayel, S. Trajanovski*, E. Altman, H. Wang, and P. Van Mieghem, Complete game-theoretic characterization of SIS epidemics protection strategies, CDC (53rd Conference on Decision and Control), pp. 1179-1184, IEEE, December 15-17, 2014, Los Angeles, CA, USA. (pdf) | (external link) | (BibTeX) | *2nd first author
  16. S. Yang, S. Trajanovski, and F. A. Kuipers, Availability-Based Path Selection, RNDM (6th Intl. Workshop on Reliable Networks Design and Modeling), pp. 39-46, IEEE, Nov. 17-19, 2014, Barcelona, Spain. (pdf) | (external link) | (BibTeX)
  17. F. A. Kuipers, S. Yang, S. Trajanovski, and A. Orda, Constrained Maximum Flow in Stochastic Networks, ICNP (22nd Intl. Conference on Network Protocols), pp. 397-408, IEEE, October 21-24, 2014, Raleigh, North Carolina, USA. (pdf) | (external link) | (BibTeX) [acc. rate: 20%]
  18. G. Polevoy, S. Trajanovski, and M. de Weerdt, Nash Equilibria in Shared Effort Games, AAMAS (13th Intl. Conference on Autonomous Agents and Multiagent Systems), pp. 861-868, May 5-9, 2014, Paris, France. (pdf) | (external link) | (BibTeX) [acc. rate: 23%]. *A compressed contribution (paper B) of this paper was subsequently presented at BNAIC’14, Nijmegen, The Netherlands (pdf)
  19. S. Trajanovski, F. A. Kuipers, P. Van Mieghem, A. Ilić, and J. Crowcroft, Critical regions and region-disjoint paths in a network, Networking, pp. 1-9, IFIP/IEEE, May 22-24, 2013, Brooklyn, New York, USA. (pdf) | (external link) | (BibTeX)
  20. S. Trajanovski, F. A. Kuipers, and P. Van Mieghem, Finding critical regions in a network, INFOCOM, pp. 3375-3380, IEEE, April 14-19, 2013, Turin, Italy. (pdf) | (external link) | (BibTeX)
  21. S. Trajanovski, and P. Van Mieghem, Fiedler’s Clustering on m−dimensional Lattice Graphs, IWONT (3rd Intl. Workshop on Optimal Network Topologies), June 9-11, 2010, Barcelona, Spain. (pdf) | (BibTeX)

Conference and workshop contributions (abstracts)

  1. R. Koning, A. Deljoo, S. Trajanovski, B. de Graaff, P. Grosso, L. Gommans, T. van Engers, F. Fransen, R. Meijer, R. Wilson, and C. de Laat, Enabling E-Science Applications with Dynamic Optical Networks: Secure Autonomous Response Networks, OSA Optical Fiber Communication Conference and Exposition, Optical Society of America, 19-23 March 2017, Los Angeles, CA, USA. (pdf) | (external link) | (BibTeX)

Book Chapters

  1. H. Wang, S. Trajanovski, D. Guo, and P. Van Mieghem, Adaptive Networks, Chapter 8 in Multilevel Strategic Interaction Game Models for Complex Networks, pp. 147-161, edited by E. Altman, K. Avrachenkov, F. De Pellegrini, R. El-Azouzi and H. Wang, Springer Nature, Switzerland, 2019, print ISBN: 978-3-030-24454-5. (pdf) | (external link) | (BibTeX)

Patents

  1. G. N. Garcia Molina, U. Grossekathöfer, S. Trajanovski, J. Salazar, Ts. K. Tsoneva, S. T. Pastoor, A. Aquino, A. Heinrich, and B. Singh Sachdev, Enhancing deep sleep based on information from frontal brain activity monitoring sensors, US Patent 11,612,713, 28 March, 2023. (pdf) | (external link) | (BibTeX)
  2. D. Mavroeidis, B. Gebrekidan Gebre, and S. Trajanovski, Training a neural network model, US Patent 11,521,064, 6 December, 2022. (pdf) | (external link) | (BibTeX)
  3. D. Mavroeidis, B. J. Bakker, and S. Trajanovski, Feature identification in medical imaging, US Patent 11,301,995, 12 April, 2022. (pdf) | (external link) | (BibTeX)