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Google Scholar | DBLP
- Aysu Bogatarkan. Flexible and Explainable Solutions for Multi-Agent Path Finding Problems. In Proceedings 37th International Conference on Logic Programming (Technical Communications), Open Publishing Association (Electronic Proceedings in Theoretical Computer Science), as part of Doctoral Consortium@ICLP 2021.
- Faik Kerem Ors, Mustafa Aydin, Aysu Bogatarkan and Albert Levi. Scalable Wi-Fi Intrusion Detection for IoT Systems. 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 2021.
- Aysu Bogatarkan and Esra Erdem. Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming. In Theory and Practice of Logic Programming (TPLP), 2020.
- Aysu Bogatarkan, Esra Erdem, Alexander Kleiner, Volkan Patoglu. Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization. In Proceedings of Fifth International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP), 2020.
- Aysu Bogatarkan, Volkan Patoglu, Esra Erdem. A Declarative Method for Dynamic Multi-Agent Path Finding. In Proceedings of the Fifth Global Conference on Artificial Intelligence (GCAI), 2019.
- Emre H. Songur, Aysu Bogatarkan, Farukhzhon Barotov, Batuhan Yıldırım, Gokay Coruhlu, Esra Erdem, and Volkan Patoglu. Çok-Etmenli Yörünge Bulma Probleminin Lego Robotlarında Uygulanması: Bir Eğitsel Robotik Çalışması. In Proceedings of Türkiye Otonom Robotlar Konferansı (TORK), 2019.