Jorgen Cani

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Works

Projects

Open-source contributions

  • "FOSSBot Platform: Simulation Enhancements & AI Integration", a Google Summer of Code 2026 project for the Open Technologies Alliance (GFOSS). Expanded the platform with a physics-based robot simulator, a 3D stage creator, an education system, and FOSSBot Buddy, a context-aware AI assistant. Gist report (source code is available as well in the post), demo.

Papers

Journal articles

2026

  • Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
    Jorgen Cani, Christos Diou, Spyridon Evangelatos, Vasileios Argyriou, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Iraklis Varlamis and Georgios Th Papadopoulos IEEE Access, vol. 14, pp. 27171-27208

2025

  • Self-supervised visual learning in the low-data regime: A comparative evaluation
    S. Konstantakos et al. Neurocomputing, vol. 620, pp. 129199

Conference articles

2025

  • X-Ray Illicit Object Detection Using Hybrid CNN-Transformer Neural Network Architectures
    J. Cani, C. Diou, S. Evangelatos, P. Radoglou-Grammatikis, V. Argyriou, P. Sarigiannidis, I. Varlamis and G. Th Papadopoulos 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), Tuczon, AZ, USA
  • Triffid: Autonomous robotic aid for increasing first responders efficiency
    J. Cani, P. Koletsis, K. Foteinos, I. Kefaloukos, L. Argyriou, M. Falelakis, I. Del Pino, A. Santamaria-Navarro, M. Čech, O. Severa, A. Umbrico, F. Fracasso, A. A. Orlandini, D. Drakoulis, E. Markakis, I. Varlamis and G. Th Papadopoulos 2025 6th International Conference in Electronic Engineering & Information Technology (EEITE), Chania, Greece, pp. 1-9
  • Tornado: Foundation models for robots that handle small, soft and deformable objects
    J. Cani, M. Moutousi, A. El Saer, N. Nikolaou, A. Sanfeliu, A. Garrell, L. Bláha, M. Čech, E. K. Markakis, I. Kefaloukos, M. Lagomarsino, G. Margetis, E. Adamakis, A. Poulakidas, F. Lykokanellos, A. Stefanidou, P. Radoglou-Grammatikis, M. Siganos, A. Ajoudani and G. Th Papadopoulos 2025 6th International Conference in Electronic Engineering & Information Technology (EEITE), Chania, Greece, pp. 1-13

2024

  • Leveraging digital twin technologies for public space protection and vulnerability assessment
    A. Stefanidou, J. Cani, T. Papadopoulos, P. Radoglou-Grammatikis, P. Sarigiannidis, I. Varlamis and G. Th Papadopoulos 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, pp. 2836-2845
  • Ceasefire: An AI-powered system for combating illicit firearms trafficking
    J. Cani, I. Mademlis, M. Mancuso, C. Paternoster, E. Adamakis, G. Margetis, S. Chambon, A. Crouzil, L. Lechelek, G. Dede, S. Evangelatos, G. Lalas, F. Mignet, P. Linardatos, K. Kentrotis, H. Gierszal, P. Tyczka, S. Karagiorgou, G. Pantelis, G. Stavropoulos, K. Votis and G. Th Papadopoulos 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, pp. 2697-2705
  • Illicit object detection in X-ray images using Vision Transformers
    J. Cani, I. Mademlis, A. A. Rebolledo Chrysochoou and G. Th Papadopoulos 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE), Chania, Greece, pp. 1-6

University

BSc Thesis

My BSc thesis, titled "Scan image analysis using deep learning techniques", written in the Greek language, as required by the department.

You can find it uploaded on the university's library server.

The thesis is a comparative evaluation of CNN-based, Transformer-based and Hybrid Deep Learning models for the task of illicit object detection on X-ray images. The models were evaluated using the mAP50 and mAP50:95 metric on a selection of 5 datasets more commonly used in the recent literature.

It was presented online at October 4th, 2024, and was graded with a 10/10. It was uploaded to HUA's digital library on October 15th, 2024.

A journal extension, “Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation”, is listed above under Journal articles.