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TRACE Project

FInd our publications in the TRACE Zenodo Community

Publications

Publications in Conference proceeding

  1. Q. Long, C. Anagnostopoulos, S. P. Parambath, and D. Bi, ‘FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization’, 2023 IEEE International Conference on Data Mining (ICDM). IEEE, pp. 1187–1192, Dec. 01, 2023. Zenodo link: https://zenodo.org/records/14748579 

2.   K. Papachristopoulou, Th. Anagnostopoulos, K. Fragkos, I. Mesogiti, G. Limperopoulos, E. Theodoropoulou, and K. Kolomvatsos. TRACE: a Reference Architecture for Intelligent Logistics Operations in B5G Networks. Accepted for publication in 21st International Conference on Artificial Intelligence Applications and Innovations (AIAI 2025)  Zenodo link: https://zenodo.org/records/15326746

3.      Shrivastav, C. S., Masola, A., Cavicchioli, R., Capodieci, N., & Burgio, P. (2025). Scalable Object Geolocation in Traffic Camera Imagery Using 3D World Model. In 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 5986–5993). IEEE. 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Zenodo link: https://zenodo.org/records/21492050

4.      Triommatis, T., Beikzadeh Abbasi, F., & Papamichail, I. (2026). A Mixed-Integer Linear Programming Model for Multimodal Middle-Mile Planning. Transport Research Arena (TRA 2026). Zenodo link: https://zenodo.org/records/21493992

5.      Triommatis, T., Beikzadeh Abbasi, F., & Papamichail, I. (2026). Scheduling and Routing in a Marsupial Delivery Environment. Transport Research Arena (TRA 2026). Zenodo link: https://zenodo.org/records/21494712

6.      Masola, A., Burgio, P., Grazia, C. A., & Bedogni, L. (2026). Measuring and Understanding Visualization Latency Performance for Smart City Applications. In 2026 IEEE 23rd Consumer Communications and Networking Conference (CCNC) (pp. 1–6). IEEE. 2026 IEEE 23rd Consumer Communications and Networking Conference (CCNC).  Zenodo link: https://zenodo.org/records/21489991

7.      Ghodsi, V. B., Pühringer, F., Fetka, J., Bürbaumer, M., & Berger, M. (2026). Modeling Pedestrian Volume in Urban Spaces: Mapping Flows Using Sensor Data in Modena, Italy. Transport Research Arena (TRA 2026)

Article in Journals

1.      S. A. Puthiya Parambath, C. Anagnostopoulos, and R. Murray-Smith, ‘Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback’, Data Min Knowledge Discovery, vol. 38, no. 6, pp. 3758–3782, Aug. 2024. Zenodo link: https://zenodo.org/records/14747579

2.      Papakotoulas A, Mylonas T., Panagidi K., Hadjiefthymiades S., Optimizing IOT Security via TPM Integration: An Energy Efficiency Case Study for Node Authentication, ITU Journal on Future and Evolving Technologies, Volume 5, Issue 1, March 2024, ITU, ISSN: 2616-8375. Zenodo link: https://zenodo.org/records/15542391

3.      T. Aladwani, C. Anagnostopoulos, and K. Kolomvatsos, ‘Node and relevant data selection in distributed predictive analytics: A query-centric approach’, Journal of Network and Computer Applications, vol. 232, p. 104029, Dec. 2024. Zenodo link:https://zenodo.org/records/14747849

4.      A. Koukosias, C. Anagnostopoulos, and K. Kolomvatsos, ‘Task-Aware Data Selectivity in Pervasive Edge Computing Environments’, IEEE Trans. Knowl. Data Eng., vol. 37, no. 1, pp. 513–525, Jan. 2025. Zenodo link: https://zenodo.org/records/14748848

5.      S. P. Parambath, C. Anagnostopoulos, and S. A. M. Alfahad, ‘Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration’, Data Min Knowl Disc, vol. 39, no. 1, Dec. 2024. Zenodo link: https://zenodo.org/records/14747694

6.      Vrani, A., Apostolidis, S. D., Kapoutsis, A. Ch., & Kosmatopoulos, E. B. (2025). Delivering data: A real-world dataset for last-mile delivery optimization. Data in Brief, 61, 111762. Zenodo link: https://zenodo.org/records/15672291

7.      I. Pentek and T. Letnik, “Obstacles and Drivers of Sustainable Horizontal Logistics Collaboration: Analysis of Logistics Providers’ Behaviour in Slovenia,” Sustainability, vol. 17, no. 15, p. 7001, Aug. 2025. Zenodo link: https://zenodo.org/records/17432999

8.      S. ALFahad, S. P. Parambath, C. Anagnostopoulos, and K. Kolomvatsos, “Node selection using adversarial expert-based multi-armed bandits in distributed computing,” Computing, vol. 107, no. 3, Mar. 2025. 

Article in Workshops

1.      S. A. P. Parambath, S. A. M. Alfahad, C. Anagnostopoulos, and K. Kolomvatsos, “Sequential Block Elimination for Dynamic Pricing,” 2024 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, pp. 125–129, Dec. 09, 2024. Zenodo link: https://zenodo.org/records/14748975

2.      C. Eleftheriadis et al., “Neural Cryptanalysis of Lightweight Block Ciphers Using Residual MLPs,” 2025 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, pp. 936–943, Aug. 04, 2025. Zenodo link: https://zenodo.org/records/17491759

3.      Fountas, P., Tymplalexis, N., Ntatis, K., Kylafas, C., Papakotoulas, A., Papataxiarhis, V., Kolomvatsos, K., & Hadjiefthymiades, S. (2026). Resources and Events Management in Synchromodal Logistic Operations. 2nd Workshop on Distributed Computing Systems for Smart Logistics (DCSSL), co-located with IEEE MDM 2026.  Zenodo link: https://zenodo.org/records/20794906

4.      Papakotoulas, A., Papataxiarhis, V., Hadjiefthymiades, S., Apostolidis, S., & Triommatis, T. (2026). A Distributed Semantic Layer for Logistics Data Integration. 2nd Workshop on Distributed Computing Systems for Smart Logistics (DCSSL), co-located with IEEE MDM 2026 (DOI pending). Zenodo link: https://zenodo.org/records/21061787

5.      Shrivastav, C., Castorini, F., Masola, A., Burgio, P., & Cavicchioli, R. (2026). Leader Election Algorithms for Vehicle Platooning: A Survey Focusing on Resilience to Member Failures. 2nd Workshop on Distributed Computing Systems for Smart Logistics (DCSSL), co-located with IEEE MDM 2026 

Whitepapers

Blockchain in Logistics: A Protocol Selection Guide

Enhancing Transparency, Efficiency, and Security for a Sustainable Supply Chain