Yasin Yilmaz

I do research on designing machine learning (ML) algorithms for various applications (e.g., environmental monitoring, oncology, intelligent transportation systems) and studying their security and safety aspects.

A focus area in my research is real-time ML algorithms, which can make timely decisions for delay-sensitive applications, such as anomaly detection, autonomous driving, cyberattack detection, adversarial data detection, adaptive resource allocation (e.g., in transportation, wireless communications, energy systems), hardware-based authentication, environmental monitoring, video surveillance, communication assistance, etc.

You can find more details about my research topics and research group, Secure and Intelligent Systems (SIS) Lab, here.

Recent Publications

• Mumcu, Furkan, Lokman Bekit, M. Jones, A. Cherian, and Y. Yilmaz. 2026. “Agentic AI-Empowered Dynamic Survey Framework”. In The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS).
• Murad, M.M., and Y. Yilmaz. 2026. “Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series”. International Conference on Machine Learning (ICML).
• Ranstrom, T., O. Jebreil, F. Razak, Y. Yilmaz, and G. Mumcu. 2026. “Analytical and Experimental Validation of Wireless Authentication through Enhanced RF Fingerprints of Chaotic Antenna Arrays”. IEEE Transactions on Information Forensics and Security.
• Karim, H., and Y. Yilmaz. 2026. “SemVAD: Fusing Semantic and Vision Features for Weakly Supervised Video Anomaly Detection. Transactions on Machine Learning Research”. Transactions on Machine Learning Research.
• Mumcu, F., M. Jones, A. Cherian, and Y. Yilmaz. 2026. “Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection”. Transactions on Machine Learning Research.
• Murad, M.M., B. Turgut, and Y. Yilmaz. 2026. “Mix&Fix-Net: A Dual-Stage Trajectory Prediction Model for AIS and Vision-Derived Vessel Data”. Ocean Engineering.
• Murad, M., M. Aktukmak, and Y. Yilmaz. 2025. “Wpmixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting”. In AAAI Conference on Artificial Intelligence.
• Mumcu, Furkan, and Yasin Yilmaz. 2025. “Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers”. Transactions on Machine Learning Research (TMLR).
• Tripathi, Aakash, Asim Waqas, Matthew B Schabath, Yasin Yilmaz, and Ghulam Rasool. 2025. “HONeYBEE: Enabling Scalable Multimodal AI in Oncology through Foundation Model-Driven Embeddings”. NPJ Digital Medicine 8 (1): 622.
• Mcmillen, Justin O, Fawaz Abdul Razak, Gokhan Mumcu, and Yasin Yilmaz. 2025. “Hardware and Deep Learning-Based Authentication through Enhanced RF Fingerprints of 3D-Printed Chaotic Antenna Arrays”. IEEE Access 13: 6893–6908.