Tsung‐Han Hsieh
Papers
2
Total Citations
14
H-Index
1
About
Dr. Tsung-Han Hsieh is a researcher whose work bridges biomedical engineering and cutting-edge artificial intelligence hardware. His key research areas include hemodynamic monitoring in cardiac surgery and the development of advanced neural network processors for real-time object detection. A major contribution is his validation of the fourth-generation FloTrac/EV1000™ system for cardiac output estimation, demonstrating its reliability in patients undergoing robotic-assisted off-pump coronary artery bypass surgery—a study that has garnered 13 citations and informs perioperative care. In the domain of AI hardware, Dr. Hsieh co-authored a landmark paper on a 16nm 5.7 TOPS CNN processor that supports bidirectional feature pyramid networks (FPN) for small-object detection in high-resolution videos. This work, published in 2025, addresses a critical need in intelligent systems such as autonomous vehicles and UAVs, where detecting distant objects can be life-saving for advanced driver-assistance systems (ADAS). By enabling efficient, real-time processing of small objects, Dr. Hsieh’s contributions enhance safety and performance in autonomous navigation and smart robotics, showcasing a unique fusion of clinical validation and hardware innovation.
Research Focus
Key Achievements
Top Papers
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