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.

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 p.1-11.

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.

Bastien Lecoeur, Marco Barbone, Jessica Gough, Uwe Oelfke, Wayne Luk, Georgi Gaydadjiev, Andreas Wetscherek (2023), Accelerating 4D image reconstruction for magnetic resonance-guided radiotherapy, In Physics and Imaging in Radiation Oncology Volume 27.

Akbar Telikani, Asadollah Shahbahrami, Jun Shen, Georgi Gaydadjiev, Jerry Chun Wei Lin (2023), An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things, In Internet of Things (Netherlands) Volume 23.

Amin Sahebi, Marco Barbone, Marco Procaccini, Wayne Luk, Georgi Gaydadjiev, Roberto Giorgi (2023), Distributed large-scale graph processing on FPGAs, In Journal of Big Data Volume 10.

Alexander Kamkin, Mikhail Chupilko, Mikhail Lebedev, Sergey Smolov, Georgi Gaydadjiev (2023), High-Level Synthesis versus Hardware Construction, In 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE).

Mahdi Zahedi, Geert Custers, Taha Shahroodi, Georgi Gaydadjiev, Stephan Wong, Said Hamdioui (2023), SparseMEM: Energy-efficient Design for In-memory Sparse-based Graph Processing, In Proceedings of the 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) p.1-6, IEEE .

Hamed Salah, Georgi Gaydadjiev (2023), Toward Optimal RFID Frame Lengths, In IEEE Journal of Radio Frequency Identification Volume 7 p.83-90.

Hamed Salah, Georgi Gaydadjiev (2022), Effect of Slot Type Identification on Frame Length Optimization, In 2022 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2022 p.54-57, Institute of Electrical and Electronics Engineers (IEEE).