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Email

ye.pu@unimelb.edu.au

Credentials


Position
Senior Lecturer
Department of Electrical and Electronic Engineering
Education
PhD
Swiss Federal Institute of Technology - Lausanne
PhD
Swiss Federal Institute of Technology in Lausanne (EPFL)
Masters
Technische Universitaet Berlin
Bachelors Degree
Shanghai Jiaotong University
ORCID

0000-0001-5924-0859

Dr Ye Pu

Senior Lecturer
Department of Electrical and Electronic Engineering

138 Scholarly works
4 Projects

HIGHLIGHTS

  • 2025

    Journal article

    Koopman-based predictive tracking control
    DOI: 10.1016/j.engappai.2025.111349
  • 2025

    Journal article

    Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-Synthesized Images
    DOI: 10.1109/LRA.2025.3589805
  • 2025

    Journal article

    Input-mapping based data-driven model predictive control for unknown linear systems via online learning
    DOI: 10.1002/rnc.6237
  • 2025

    Conference Proceedings

    Implementation of a micro electromechanical system (MEMS) phase-only light modulator (PLM) for holographic volumetric additive manufacturing
    DOI: 10.1117/12.3043069
  • 2022

    Research grants (other domestic)

    Real-Time Control With Safety Guarantees: Theory and Applications
  • 2021

    Research grants (ARC, NHMRC, MRFF)

    Digitally Networked Dynamical Systems: Performance and Robustness Analysis
  • 2020

    Research Contracts

    Mobile Robots for Conveyor Carryback Removal
Ye Pu

RECENT SCHOLARLY WORKS

  • 2025

    Conference Proceedings

    Fluorescence lifetime endo-microscopy: identifying margins of head and neck cancer tissues through multimode fiber endoscopy and machine learning
    DOI: 10.1117/12.3041874
  • 2025

    Journal article

    Nonlinearity in thermal comfort-based control systems: A systematic review
    DOI: 10.1016/j.enbuild.2024.115060
  • 2025

    Conference Proceedings

    Proximal Policy Optimized Tube MPC Fault-Tolerant Control for Thrusters in AUV
    DOI: 10.1109/WRCSARA68202.2025.11194971
  • 2025

    Journal article

    A Control Barrier Function Composition Approach for Multiagent Systems in Marine Applications
    DOI: 10.1109/TMECH.2025.3543398
  • 2025

    Conference Proceedings

    Two-timescale EXTRA for Distributed Smooth Non-convex Optimization
    DOI: 10.1109/CDC57313.2025.11312554
  • 2025

    Book Chapter

    Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation
    DOI: 10.1007/978-3-031-73209-6_26

RECENT PROJECTS

  • 2026

    Research grants (ARC, NHMRC, MRFF)

    Models Meet Data: Accelerating Safe Learning and Optimization in Robots

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