Jan Thomas Jung
Papers
2
Total Citations
17
H-Index
2
About
Jan Thomas Jung is a leading researcher in intelligent urban infrastructure, specializing in the intersection of artificial intelligence, computer vision, and civil engineering. His primary focus is on revolutionizing the management and inspection of sewer systems—a critical yet often overlooked component of urban resilience. Jung’s major contributions include developing a deep learning integration concept for multi-sensor systems that automates sewer damage inspection, addressing the inefficiencies and human error inherent in traditional manual methods. This work, published in 2024, has already garnered 10 citations for its practical impact. He is also the driving force behind the KaSyTwin project, where he established a comprehensive research strategy for creating digital twins of sewer networks. This approach shifts maintenance from reactive, data-poor practices to proactive, data-driven management, significantly improving flood prevention and public health protection. With his 2025 publication already earning 7 citations, Jung is rapidly establishing himself as a key innovator in smart city infrastructure, demonstrating how advanced AI can transform the sustainability and reliability of essential urban systems.
Research Focus
Key Achievements
Top Papers
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