Hanjiang Hu is a PhD candidate and research assistant at Carnegie Mellon University with eight years of experience in robotics, computer vision, and machine learning. He has a track record of applied research from SLAM and long-term visual localization for delivery robots to defenses against adversarial patch attacks and LLM-based agents for long-horizon planning. His internships span top labs including MERL and Bosch BCAI, where he combined theory and engineering to produce model-agnostic defenses and multi-turn reasoning frameworks. Hanjiang’s background in control engineering and mechanical design (top 2.5% undergraduate class) informs practical system-building—evident in his RGB-D eye-in-hand grasping system and award-winning automotive control work. He often bridges academia and industry by shipping reproducible code and tools for datasets and challenges, and he brings a strong empirical focus to robustness and generalization in perception systems.
8 years of coding experience
3 years of employment as a software developer
Zhengzhou No.1 High School
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Carnegie Mellon University School of Computer Science
Ph.D., College of Engineering, Ph.D., College of Engineering at Carnegie Mellon University
M.S., Control Science and Engineering, M.S., Control Science and Engineering at Shanghai Jiao Tong University
Contributions:3 pushes, 1 branch in 5 years 9 months
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Hanjiang Hu - Research Assistant at Carnegie Mellon University