Summary
Ioannis Kansizoglou is an Assistant Professor and machine learning researcher with eight years of experience specializing in affective computing, computer vision, and multimodal fusion for human–robot and human–computer interaction. He holds a PhD in Affective Computing and has led EU‑cofunded research on predictive maintenance and ultra‑high‑speed camera-based machine surveillance, where he developed and integrated multimodal learning pipelines. Proficient in Python, TensorFlow, PyTorch, OpenCV and C/C++, he combines deep theoretical knowledge of SVMs and neural networks with practical skills in signal processing and deep feature learning. Based in Xanthi, Greece, he bridges academic research and applied AI development, having also contributed as an AI developer in industry projects. Less obvious: he routinely tunes classical and deep models for cross-modal tasks, making him comfortable moving systems from experimental prototypes toward deployed, sensor‑rich applications.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Affective computing and computer vision, Doctor of Philosophy - PhD, Affective computing and computer vision at Democritus University of Thrace - (D.U.Th.)
Master of Engineering - MEng, Electrical and Electronics Engineering, Master of Engineering - MEng, Electrical and Electronics Engineering at Aristotle University of Thessaloniki (AUTH)
Greek, English, German