Lingheng Meng

Lingheng Meng

CERC Postdoctoral Fellow

CSIRO Technology

Monash University

lingheng.meng [at] csiro.au

Professional Summary

I am a CSIRO Early Research Career (CERC) Postdoctoral Fellow at CSIRO Technology and an Adjunct Lecturer in Electrical and Computer Systems Engineering at Monash University. My research asks how to make robots that learn from and act alongside people robust and trustworthy in real-world deployment. I work on deep reinforcement learning, preference learning, and human-robot interaction, applied to manipulation, legged locomotion, and assistive robotics. I received my PhD from the University of Waterloo in 2023.

Education

Visiting PhD Student, Electrical and Computer Systems Engineering

2022–2023

Monash University

PhD Electrical & Computer Engineering

2017–2023

University of Waterloo. Advisors: Prof. Dana Kulić and A/Prof. Rob Gorbet

M.Eng. Computer Application Technology

2014–2017

China University of Mining and Technology

B.Eng. Computer Science and Technology

2010–2014

China University of Mining and Technology

Interests

Human-Robot Interaction Deep Reinforcement Learning Preference Learning (RLHF) Imitation Learning & Inverse RL Robot Learning for Assistive Robotics Vision-Language-Action (VLA) Models Sim-to-Real Transfer Interactive & Adaptive Robotic Systems
Research

My research on human-centered robot learning is organised around three interconnected themes:

Foundations of Deep Reinforcement Learning — Understanding multi-step methods, memory architectures, and value estimation in partially observable environments (Neural Networks 2026, IROS 2021, ICPR 2020).

Preference Learning for Robotics — Enabling robots to learn from human preferences rather than hand-crafted rewards, with applications to interactive systems and assistive manipulation (ACM THRI 2021, ongoing work on patchable preference learning).

Real-World Deployment & Human-Robot Interaction — Translating learning algorithms to physical robots and large-scale public installations, including the Royal Ontario Museum deployment with 60,000+ visitors and partnerships with Boeing Research and Suburban Connect.

Teaching & Supervision

Teaching — Co-designed and co-taught the Reinforcement Learning and Human-Robot Interaction sessions of Monash University’s ECE4078 Intelligent Robotics unit (Semester 2, 2026).

Final Year Projects — Supervised 15 undergraduate students across 5 projects (2025–2026) on preference learning, deep reinforcement learning, VR-teleoperated dexterous grasping, and humanoid locomotion safety.

PhD co-supervision (Monash University) — Jin Siang Ong (perception-aware shared autonomy for fragile-object manipulation, RO-MAN 2026) and Emmanuel Fashae (interpretable models of human organisational preferences, HRI 2026).

Publications