News & Events

Latest updates from the Industrial AI Group

Category
Year
Dazzle Johnson's Continuous Dynamic Flexible Job Shop Scheduling Research Published in IEEE Transactions on Automation Science and Engineering
Jun 2026 Publication

Dazzle Johnson's Continuous Dynamic Flexible Job Shop Scheduling Research Published in IEEE Transactions on Automation Science and Engineering

Dazzle Johnson's PhD research on multi-agent continuous decision-making for dynamic flexible job shop scheduling has been accepted for publication in IEEE Transactions on Automation Science and Engineering.

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EU Horizon Feature — Robots, Smart Tech, and Ageing Workforces
Apr 2026 Media

EU Horizon Feature — Robots, Smart Tech, and Ageing Workforces

Our team is grateful to contribute to global efforts rethinking work for an ageing Europe, as featured in a recent EU Horizon CORDIS article on the MAIA project.

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Mar 2026 Scholarship

Fully Funded PhD Scholarship — Machine Intelligence towards Collaborative Factory Automation

A fully funded PhD scholarship is available in the Industrial AI Research Group, focusing on developing intelligent, collaborative automation systems for the factories of the future.

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Oct 2025 Scholarship

Fully Funded PhD Scholarship — Robot Skill Learning

A fully funded PhD scholarship is available in the Industrial AI Research Group, focusing on developing robot skill learning techniques.

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Sep 2025 Seminar

Seminar — Dr. Seyyed Ehsan Hashemi-Petroodi

Delighted to have Dr. Seyyed Ehsan Hashemi-Petroodi share his inspiring insights on robust optimization and assembly line reconfiguration.

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Call for Papers — Embodied Intelligence Empowering Smart Manufacturing
Apr 2025 Publication

Call for Papers — Embodied Intelligence Empowering Smart Manufacturing

Special Issue for Embodied Intelligence Empowering Smart Manufacturing at Journal of Industrial Information Integration.

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Strategic Workshop on Future of Human-Robot Collaboration
Feb 2025 Workshop

Strategic Workshop on Future of Human-Robot Collaboration

A diverse group of stakeholders gathered for a successful workshop to discuss future aspirations and development pathways for human-robot collaboration technologies.

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Best Paper Award at CIE51, 2024
Dec 2024 Award

Best Paper Award at CIE51, 2024

Ilango Kandasamy and Yuqian Lu won the Best Paper Award at the 51st International Conference on Computers and Industrial Engineering for their work on using Large Language Models for human-robot collaboration.

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We are Hiring — PhD Scholarships & Postdoc on Human-Robot Collaboration (MBIE Endeavour Fund)
Sep 2024 Hiring

We are Hiring — PhD Scholarships & Postdoc on Human-Robot Collaboration (MBIE Endeavour Fund)

The IAI Research Group has secured $1 million NZD from the MBIE Endeavour Fund for "Ultra-flexible human-robot collaborative product assembly," with two PhD positions and one postdoctoral fellowship available.

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Dr. Saahil Chand — Dean of Graduate Studies List
Sep 2024 Award

Dr. Saahil Chand — Dean of Graduate Studies List

Dr. Saahil Chand has been placed on the University of Auckland Dean of Graduate Studies List in recognition of excellence achieved in his PhD thesis, an honour awarded to only a few doctoral graduates each year.

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IAI Research Group at CASE 2024
Aug 2024 Event

IAI Research Group at CASE 2024

The Industrial AI Research Group attended the 20th IEEE CASE conference in Bari, Italy, presenting three papers on multi-agent scheduling, assembly action recognition, and an AI-powered assembly assistive system.

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Aug 2024 Media

Blending Cutting-Edge Science and Commercial Potential

A repost of Dr. Yuqian Lu's interview with SfTI National Science Challenge on combining 5G, AI, and robotics for cloud-controlled industrial systems, and his journey from industry back to academia.

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Groundbreaking Research in Manufacturing Quality Control from Karen Wang
May 2024 Publication

Groundbreaking Research in Manufacturing Quality Control from Karen Wang

Master's student Karen Wang developed the product-wise Ensemble Bayesian Network (EBN) for root cause analysis of manufacturing defects, demonstrating improved quality risk prediction in the plastics industry in collaboration with AspectPT Ltd.

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IJPR Top Trending Article on Industrial Knowledge Graph
Jan 2024 Award

IJPR Top Trending Article on Industrial Knowledge Graph

A paper by Dr. Bin Zhou and Prof. Jinsong Bao on machine learning for industrial time series knowledge extraction was recognised as a Top Trending Article for 2023 in the International Journal of Production Research.

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Dr. Yuqian Lu Awarded the 2023 UoA Early Career Research Excellence Award
Nov 2023 Award

Dr. Yuqian Lu Awarded the 2023 UoA Early Career Research Excellence Award

Dr. Yuqian Lu was recognised as one of seven recipients of the Early Career Research Excellence Award at the University of Auckland's 2023 Celebrating Research Excellence event.

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HA-ViD Paper Accepted at NeurIPS 2023
Sep 2023 Publication

HA-ViD Paper Accepted at NeurIPS 2023

The paper "HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding" was accepted at NeurIPS 2023, providing a large-scale benchmark for human-robot collaboration and robot skill learning.

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Yuqian Lu on 1News about AI, Robots and 5G
Jul 2023 Media

Yuqian Lu on 1News about AI, Robots and 5G

Dr. Yuqian Lu was interviewed by 1News about how 5G-enabled environments can accelerate industrial productivity through AI and robotics, and how 5G could enable real-time cloud-based robot control.

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EU Horizon 2020 MAIA Project Mid-term Meeting
Jun 2023 Event

EU Horizon 2020 MAIA Project Mid-term Meeting

Dr. Yuqian Lu presented research progress at the MAIA project mid-term meeting, discussing human-centric manufacturing, worker well-being, and human-robot collaboration outcomes in partnership with the University of Padova.

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Apr 2023 Event

Wesley Teh Speaks at TEDxYouth

Wesley Teh, a 14-year-old student mentored by Dr. Yuqian Lu, presented his "Omnitronics" concept at TEDxYouth@StCuthbertsCollege — a cybernetic platform integrating robotics, drones, AI, and self-driving cars.

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Jan 2023 Award

Dr. Yuqian Lu Nominated as a Corresponding Expert of Engineering, Elsevier

Dr. Yuqian Lu was nominated as a Corresponding Expert of Engineering by The Chinese Academy of Engineering in December 2022. Engineering is a top-ranked journal with an Impact Factor of 12.8.

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Jan 2023 Visit

Visit from Professor Olga Battaïa

Professor Olga Battaïa, Associate Dean for Research at KEDGE Business School, France, visited the IAI team on November 28, 2022 for in-depth discussions under the EU MAIA project on active ageing workforce.

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Jan 2023 Seminar

Visit from Professor Qiang Huang

Professor Qiang Huang from USC's Epstein Department of Industrial and Systems Engineering visited the Industrial AI Group on December 2, 2022 and delivered a seminar on engineering-informed machine learning for additive manufacturing accuracy control.

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Nov 2022 Visit

Lab Visit from Christopher Luxon, Leader of the National Party

On October 17, 2022, Christopher Luxon, Leader of the New Zealand National Party, visited the IAI team to view research outcomes and their impact for New Zealand.

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We are Hosting the 2023 IEEE CASE Conference in Auckland
Oct 2022 Event

We are Hosting the 2023 IEEE CASE Conference in Auckland

The 19th IEEE International Conference on Automation Science and Engineering (CASE 2023), themed "Automation for a Resilient Society," will be hosted in Auckland, New Zealand on August 26–29, 2023.

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Oct 2022 Grant

MBIE Endeavour Fund: $10.3 Million Investment to Transform Construction

The HERA-led Construction 4.0 programme secured $10.3 million from the MBIE Endeavour Fund. The IAI Research Team will deliver construction automation and digitalisation solutions as part of this four-year project.

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Mar 2022 Media

A Mobile Manipulator to Help Workers on the Factory Floor

Dr. Yuqian Lu is developing an intelligent autonomous mobile robot at the University of Auckland that can work alongside human operators in small New Zealand manufacturing environments, enabling flexible human-robot collaboration.

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Feb 2022 Award

RCIM Best Paper Award

Dr. Yuqian Lu received the Robotics and Computer-Integrated Manufacturing (RCIM) Best Paper Award for his first-authored article on Digital Twin-driven smart manufacturing, which recorded the highest number of Scopus citations over the past five years.

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Oct 2021 Grant

2021 Science for Technological Innovation (SfTI) National Science Challenge Grant

The Industrial AI Team received a two-year SfTI seed grant for "Ultra-reliable time-sensitive industrial control in the cloud," developing 5G scheduling algorithms for cloud-controlled industrial robotics in collaboration with VUW, Spark, and Nokia.

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