Summary
Ivan Kukanov is a Principal Speech Scientist based in Singapore with 11 years of deep learning and speech-technology experience, specializing in deepfake/spoof detection, acoustic event detection/localization, and end-to-end speech-to-text translation. He holds a PhD in Computer Science from the University of Eastern Finland and has progressed from academic research to applied R&D roles at A*STAR and now industry leadership at KLASS. Ivan’s work bridges rigorous research—optimizing non-decomposable objectives and spoken language recognition—with practical defenses against audio/video spoofing, reflecting both theoretical depth and production-minded engineering. He combines strong mathematical training from Saint Petersburg State University with hands-on experience in multimodal signal processing, making him adept at turning cutting-edge models into robust, real-world systems.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Eastern Finland
Master, Methods of Applied Mathematics and Informatics in Control Problems, Master, Methods of Applied Mathematics and Informatics in Control Problems at Санкт-Петербургский Государственный Университет
English