Dr. Youngjoon Yu, an alumnus of the Integrated Vision Language (IVL) Lab (Advisor: Prof. Yong Man Ro) has been appointed as a tenure-track faculty member in the School of Computer Science at Dongduk Women’s University, effective September 1, 2026.
Dr. Yu received his B.S. degree in Electrical Engineering from KAIST, followed by an M.S. degree from the KAIST College of Business, and subsequently earned his Ph.D. degree in Electrical Engineering from KAIST. After completing his doctoral studies, he worked as a postdoctoral researcher at the Center for Applied Research in Artificial Intelligence (CARAI), KAIST, where he conducted research on reliable artificial intelligence for defense applications, with a particular focus on the integration and deployment of heterogeneous sensor information in real-world environments.
His doctoral dissertation, entitled “Study on vision-language bias mitigation with causal inference,” investigated methods for identifying and mitigating data biases and spurious correlations that arise when artificial intelligence models interpret visual information and perform language-based reasoning. In particular, his research has focused not only on improving predictive accuracy, but also on advancing Trustworthy AI by enabling AI systems to provide more reliable and interpretable reasoning while reducing hallucinations and erroneous inferences.
His research contributions have been published in leading international journals in computer vision and artificial intelligence, including IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems, demonstrating the academic significance and quality of his work.
At the KAIST Center for Applied Research in Artificial Intelligence, Dr. Yu further investigated trustworthy AI technologies designed for complex and resource-constrained defense environments involving diverse sensing modalities. More recently, he has expanded his research toward multimodal sensor fusion and artificial intelligence, with an emphasis on enabling AI systems to accurately understand and integrate information from heterogeneous sensors, including RGB cameras, thermal imaging, and depth sensors.
At Dongduk Women’s University, Dr. Yu plans to pursue research and education centered on Causal AI and Trustworthy AI. In particular, in the emerging era of Physical AI, his research will focus on developing intelligent systems and robots capable of integrating multimodal sensory information from RGB cameras, thermal imaging, depth sensors, hyperspectral sensors, and other sensing modalities while minimizing bias and hallucination. His ultimate goal is to develop AI technologies that can reliably perceive, reason about, and make decisions in complex physical environments.
We warmly congratulate Dr. Yu on this new chapter of his academic career and look forward to his continued contributions to education, research, and academia–industry collaboration at Dongduk Women’s University.
