I am a senior research scientist at Rapid Flow Technologies, a CMU spinoff that is working on commercializing Surtrac adaptive traffic signal control technology developed in the Robotics Institute. I completed my Ph.D. from Electrical and Computer Engineering Department and M.S. in Machine Learning from Machine Learning Department at Carnegie Mellon, working on planning, reinforcement learning and optimization to solve real-world coordination problems (including the applications of transportation and wireless networks) under the supervision of Stephen F. Smith of Robotics Institute. Prior to that, I have worked in communication industry for three years as a software engineer. [CV]
My first name (no dash) at RAPIDFLOWTECH dot COM
See Publications for my published works. This section is a brief description of my research.
A composite approach is proposed to real-time traffic control that uses sensed information on queue lengths to influence scheduling decisions and gracefully shift the signal control strategy to queue management in high volume/high congestion settings. [project website]
The DARPA Spectrum Collaboration Challenge (SC2) is the first-of-its-kind collaborative machine-learning competition to overcome scarcity in the radio frequency (RF) spectrum. Today, spectrum is managed by dividing it into rigid, exclusively licensed bands. This human-driven process is not adaptive to the dynamics of supply and demand, and thus cannot exploit the full potential capacity of the spectrum. [project website]
We consider a setting where drivers have flexibility in the times that they can arrive and depart from the office, and all drivers must pass through a congestion bottleneck (e.g., a tunnel or a bridge).The goal is to produce a departure time for each driver that minimizes congestion at the bottleneck.
This project is to design a new TCP protocol for vehicles to support QoS of high throughput transmission.
H.-C. Hu, A. Hawkes and S. Smith, "Incorporating Queueing Dynamics into Schedule-Driven Traffic Control ,"International Joint Conference on Artificial Intelligence (IJCAI), 2021. [pdf]
H.-C. Hu, and S. Smith, "Learning Model Parameters for Decentralized Schedule-Driven Traffic Control,"International Conference on Automated Planning and Scheduling (ICAPS), 2020. [pdf]
H.-C. Hu, S. Smith, and R. Goldstein, "Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. [pdf]
H.-C. Hu, and S. Smith, "Using Bi-Directional Information Exchange to Improve Decentralized Schedule-Driven Traffic Control,"International Conference on Automated Planning and Scheduling (ICAPS), 2019. [pdf]
H.-C. Hu, and S. Smith, "When to Leave Your Office?: A Schedule-Driven Approach to Demand Shifting," arXiv. [pdf]
H.-C. Hu, and S. Smith, "Bi-Directional Information Exchange in Decentralized Schedule-Driven Traffic Control,"International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018. [pdf]
H.-C. Hu, and S. Smith, "Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion,"International Joint Conference on Artificial Intelligence (IJCAI), 2017. [pdf]
H.-C. Hu, and S. Smith, "Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control,"International Conference on Automated Planning and Scheduling (ICAPS), 2017. [pdf]
S. Smith, G. Barlow, H.-C. Hu, J.-H. Hua, "Pedestrian Friendly Traffic Signal Control", CMU-RI-TR, 2016. [pdf]
H.-C. Hu, J.-R. Lin, F. Bai, and O. Tonguz, "Performance Enhancement of LTE Internet Access Network in Moving Vehicles," accepted by IEEE Global Communications Conference (GLOBECOM), 2015. [pdf]
H.-C. Hu, Adjacent Refinement for Enhancing Limited Feedback in MIMO Broadcast Channels, M.S. thesis, 2010. [link]
H.-C. Hu, Y.-H. Li, and P.-C. Yeh, "Adaptive precoder selection for multicast broadcast services in MIMO-OFDMA systems," in IEEE Vehicular Technology Conf. (VTC-Spring), May, 2010. [pdf]
Y.-H. Kao, Y.-H. Li, W.-A. Lin, H.-C. Hu, and P.-C. Yeh, "Performance analysis for type-II hybrid ARQ systems," in IEEE Global Communications Conf. (GLOBECOM), Nov., 2008. [pdf]
Minimalism with GitHub-like CSS (licensed under MIT).