Kivanc Kose

Kivanc Kose is an Adjunct Assistant Professor at Columbia GSAPP and an Assistant Lab Member at Memorial Sloan Kettering Cancer Center. During his Ph.D., Dr. Kose developed novel machine learning methods for the early detection and modeling of fires and natural disasters that threaten historical sites and forests. The FIRESENSE system, which integrated camera-based vision systems and wireless sensor networks, aimed to detect fires early and model their propagation. This system was deployed at several sites, including Rhodiapolis, Turkey, and the Temple of Water, Tunisia. His contributions included AI-driven fire detection models and propagation simulations incorporating topographical, vegetation, and wind data. His work on video-based early fire warning received the best paper award at EuroMed'12, supported by the European Union’s FP7-ENVIRONMENT program. He has been teaching Machine Learning at GSAPP at Columbia University since 2024.

Dr. Kose is an author with over a hundred articles in journals and conferences. He serves as an Associate Editor for the Signal Image and Video Processing Journal (SIVP) and reviews submissions for various journals and conferences in signal processing, computer vision, machine learning, and biomedical imaging. He has secured funding from organizations like the National Institutes of Health and the European Union for AI and image processing projects in cultural heritage preservation and biomedical applications.