Marco Procaccini, Amin Sahebi, Marco Barbone, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi (2024), Accelerating Large-Scale Graph Processing with FPGAs: Lesson Learned and Future Directions, Joao Bispo, Sotirios Xydis, Serena Curzel, Luis Miguel Sousa (Eds.), In 15th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures - 13th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, PARMA-DITAM 2024, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

Stefan A. Lung, Georgi Gaydadjiev, Said Hamdioui, Mottaqiallah Taouil (2024), Counteracting Rowhammer by Data Alternation, In Proceedings - 2024 29th IEEE European Test Symposium, ETS 2024, IEEE.

Marco Barbone, Christopher Brown, Georgi Gaydadjiev, Thomas Maguire, Mikael Mieskolainen, Benjamin Radburn-Smith, Wayne Luk, Alexander Tapper (2024), Embedded Continual Learning for High-Energy Physics, In EPJ Web of Conferences.

Marco Barbone, Georgi Gaydadjiev, Alexander Howard, Wayne Luk, George Savvidy, Konstantin Savvidy, Andrew Rose, Alexander Tapper (2024), Fast, high-quality pseudo random number generators for heterogeneous computing, In EPJ Web of Conferences.

Hamed Salah, Reza Hassanpour, Georgi Gaydadjiev (2024), Matrix Pencil for RFID Collision Recovery, In IEEE Access.

Erbing Hua, Heba Abunahla, Georgi Gaydadjiev, Said Hamdioui, Ryoichi Ishihara (2024), Multi-level forming-free HfO₂-based ReRAM for energy-efficient computing, In DRC 2024 - 82nd Device Research Conference, IEEE.

Bahareh Ghari, Ali Tourani, Asadollah Shahbahrami, Georgi Gaydadjiev (2024), Pedestrian detection in low-light conditions: A comprehensive survey, In Image and Vision Computing.

A.A.M. Aljuffri, R. Huang, L.V.M. Muntenaar, G. Gaydadjiev, Kezheng Ma, S. Hamdioui, M. Taouil (2024), The Security Evaluation of an Efficient Lightweight AES Accelerator †, In Cryptography Volume 8.

Akbar Telikani, Nima Esmi Rudbardeh, Shiva Soleymanpour, Asadollah Shahbahrami, Jun Shen, Georgi Gaydadjiev, Reza Hassanpour (2023), A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT, In IEEE Transactions on Industrial Informatics Volume 20 p.3880-3890.

Nima Esmi, Yasaman Golshan, Sara Asadi, Asadollah Shahbahrami, Georgi Gaydadjiev (2023), A fuzzy fine-tuned model for COVID-19 diagnosis, In Computers in Biology and Medicine Volume 153.