This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Victoria directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning.
Research (Washington, D.C.) · 2026
Discovery of the reward function for embodied reinforcement learning agents.
Nature communications · 2025
Privacy preserving optimization of communication networks.
Nature communications · 2025
Latest funding
- $83,000
An Intelligent and Resilient Model Predictive Control Framework (AIR-MPC) for Autonomous Mechatronic Systems
NSERC · 2024 · Principal investigator
- $140,000
Counter-UAS: Interceptor drone "design, build, test and fly" with AI-enhanced situational awareness [C-UAS]
NSERC · 2024 · Co-investigator
- $125,000
Cultivated meat production in zero gravity: making burgers for astronauts
SSHRC · 2022 · Co-investigator
5 publications.
Deep Reinforcement Learning for Real-World Humanoid Robot Locomotion Control with Automatic Reward Learning.
Lu R, Wang J, Shao Z, Chen R, Zhu L, Jiang Y, Pang Y, Liang D, Shi Y, Ding H
Discovery of the reward function for embodied reinforcement learning agents.
Lu R, Shao Z, Ding Y, Chen R, Wu D, Su H, Yang T, Zhang F, Wang J, Shi Y, Jiang ZP, Ding H, Zhang HT
Privacy preserving optimization of communication networks.
Lei D, Lin X, Yu X, Zhao Z, Liu F, Shi Y, Zhuang S, Gao H, Barzel B, Boccaletti S
Stochastic model predictive control framework for resilient cyber-physical systems: review and perspectives.
Chen J, Shi Y
A survey on attack detection, estimation and control of industrial cyber-physical systems.
Zhang D, Wang QG, Feng G, Shi Y, Vasilakos AV
An Intelligent and Resilient Model Predictive Control Framework (AIR-MPC) for Autonomous Mechatronic Systems
Principal investigators: Shi, Yang
Keywords: model predictive control (mpc); distributed model predictive control; resilient control; learning mpc; optimization; autonomous mechaotronic systems (ams-s); quadrotors; mobile robots; multi-agent systems (mas-s); cyber security
Counter-UAS: Interceptor drone "design, build, test and fly" with AI-enhanced situational awareness [C-UAS]
Principal investigators: Najjaran, Homayoun H
Keywords: ai guidance, navigation, and control; counter-unmanned air systems; interceptor drones; multi-uas flight formation; sense and avoid
Cultivated meat production in zero gravity: making burgers for astronauts
Principal investigators: Akbari, Mohsen
Keywords: Space exploration; cultured meat; bioprinting; microcarriers; alternative food
PredictiOn, Assessment and ExpeRimental Validation of AeroservoelastiC Tools and Processes in Design of Novel and Flexible AIRcraft Configurations [ORCA-AIR]
Principal investigators: Suleman, Afzal A
Keywords: aeroservoelasticity; aircraft design; flight control systems; flight testing; novel aircraft configurations
Integrated networked control system development for smart workspace
Principal investigators: Shi, Yang
Development of computer vision-based intelligent control system for drones
Principal investigators: Shi, Yang
UAV-based magnetic anomaly detection system for remote sensing: design, build, test and fly (UAV-MAD)
Principal investigators: Suleman, Afzal
Towards A Practical Model Predictive Control Framework for Networked and Distributed Dynamic Systems
Principal investigators: Shi, Yang
Keywords: Adaptive model predictive control; Distributed model predictive control; Mobile robots; Model predictive control; Multi-agent systems; Networked and distributed dynamic systems; Networked control systems; Network-induced constraints; Optimization; Quadrotors
Model predictive control and vision-based control strategies for Quadrotor systems
Principal investigators: Shi, Yang
Robust control for semi-active shock mitigation systems
Principal investigators: Shi, Yang
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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