👋 Qingze Huo

Work Experience

At Canoo, my role as an ADAS Software Engineer involves delivering advanced control systems and sensor fusion techniques to enhance vehicle safety. In this role, I have strengthened my programming skills in C++ and Python and gained hands-on experience in software development within the automotive industry:

• Design, test, optimize and deploy a real-time Joint probabilistic data association-based multi-sensor multi-object tracking and data fusion algorithm for ADAS system
• Develop simulation/replay-based pipelines for tracker evaluation and tuning, accelerating the software development lifecycle and ensuring optimal performance
• Collaborate with cross-functional teams to integrate sensor fusion solutions, ensuring reliability through SIL, HIL, and real-world testing

Research

Previously, as a Machine Learning Researcher in Robotics at Cornell University, I developed a multi-modal pedestrian trajectory prediction model and a perception-feedback UAV system for dynamic human-robot interactions. These projects, which resulted in multiple papers, have enhanced my expertise in perception, probabilistic reasoning, and human-robot interaction.

• Created a Machine Learning model for multi-modal pedestrian trajectory prediction using visual-sensing data
• Led a team for developing a real-time perception-feedback UAV system for human-robot interaction in the wild
• Constructed a visual-sensing-based fast and accurate action detection framework for automatically recognizing distinct actions from untrimmed action sequence
• Collaborated with an interdisciplinary team from CMU and GaTech for the stochastic distributed optimal dual control project

Publications

• X Yu, Z Xie, Y Yu, J Lee, A Vazquez-Guardado, H Luan, J Ruban, X Ning, Q Huo, ... "Skin-integrated wireless haptic interfaces for virtual and augmented reality." Nature 575 (7783), 473-479, 2019. Cited by 852.
• HU Chung, BH Kim, JY Lee, J Lee, Z Xie, EM Ibler, KH Lee, A Banks, Q Huo, ... "Binodal, wireless epidermal electronic systems with in-sensor analytics for neonatal intensive care." Science 363 (6430), eaau0780, 2019. Cited by 701.
• BH Kim, J Lee, SM Won, Z Xie, JK Chang, Y Yu, YK Cho, H Jang, Q Huo, ... "Three-dimensional silicon electronic systems fabricated by compressive buckling process." ACS nano 12 (5), 4164-4171, 2018. Cited by 51.
• Z Xie, B Ji, Q Huo. "Mechanics design of stretchable near field communication antenna with serpentine wires." Journal of Applied Mechanics 85 (4), 045001, 2018. Cited by 26.
• I Jung, Z Xie, Q Huo, J Kim, J Lee, B Ji, S Xu. "In vitro protocol for validating interface pressure sensors for therapeutic compression garments: Importance of sphygmomanometer placement and initial cuff diameter." Veins and Lymphatics 7 (1), 2018. Cited by 4.
• J Dong, Q Huo, S Ferrari. "A holistic approach for role inference and action anticipation in human teams." ACM Transactions on Intelligent Systems and Technology (TIST) 13 (6), 1-24, 2022. Cited by 3.
• Q Huo, Y Shi, C Liu, V Tarokh, S Ferrari. "Online Action Change Detection for Automatic Vision-based Ground Control of Aircraft." AIAA SCITECH 2022 Forum, 2031, 2022. Cited by 1.
• Q Huo, S Ferrari. "Pedestrian Trajectory Prediction under Abrupt Changing Scenarios." IEEE Transactions on Intelligent Transportation Systems, submitted.
• Q Huo, S Ferrari, et al. "Robot-embodied Real-time Human-Robot Interaction." IEEE Robotics and Automation Magazine, submitted.

Talks & Presentations

• Online Action Change Detection, AIAA SCITECH 2022 Forum
• Action Prediction for Volleyball Games, Cornell Chronicle, 2022
• Pedestrian Trajectory Prediction, Upcoming