Projects per year
Personal profile
Personal profile
Dr Yang Luo is an Assistant Professor at the School of Intelligent Manufacturing Ecosystem in the XJTLU. His primary research interest centers on industrial sustainability, with a focus on reducing dependence on fossil-based energy sources through the implementation of intelligent operations and process planning. Dr Luos research activities encompass several areas within this field, including real-time energy management for flexible and reactive factories, modeling energy consumption across various levels (plant, process, and product), and energy capture and reuse in manufacturing enterprises. Prior to joining his current position, Dr Luo worked as a postdoctoral research associate (PDRA) at the Research Centre for Carbon Solutions (RCCS) in Heriot-Watt University, UK and Energy Sustainability Consultant at State Grid, China.Current Teaching Responsibilities:MFE306TC Mass Customisation and Manufacturing Systems MFE002TC Introduction to Smart ManufacturingRBE201TC Project, Problem Solving and Sustainability in RoboticsMFE205TC Manufacturing ProcessMES102TC Experimental, Computer Skills and SustainabilityMFE301TC Final Year Project
Research interests
Energy capture and reuse within manufacturing enterprises
Modelling of energy consumption on the plant, process and product level
Real-time energy management
Eco-intelligent Manufacturing
Experience
Post-doctoral Research Associate, Research Centre for Carbon Solutions, Heriot-Watt University, UK, 2017 - 2020
Research Assistant, Concrete Preservation Technologies Ltd., Birmingham, UK, 2010 - 2011
Teaching
MFE301TC Final Year Project
MES102TC Experimental, Computer Skills and Sustainability
RBE201TC Project, Problem Solving and Sustainability in Robotics
MFE002TC Introduction to Smart Manufacturing
MFE306TC Mass Customisation and Manufacturing Systems
MFE204TC Artificial Intelligence and Data Analysis
MFE205TC Manufacturing Process
Awards and honours
2019, Winner in the 2019 IET Innovation Awards for Transport
2019, Highly Recommended in the 2019 IET Innovation Awards for Sustainability and Environmental Impact
2018, Research Centre for Carbon Solutions annual conference Best Poster Awards
2017, Finalist in the IChemE Global Awards for Energy and Sustainability
2012, Full Scholarship for PhD research project
2011, Concrete Preservation Technologies Ltd. sponsored Undergraduate Summer Research Experience
2010, TESCO sponsored BEng Civil Engineering Design Project Awards
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Sustainable Manufacturing, Loughborough University, 2012 - 2016
MSc, Mechanical Engineering, Loughborough University, 2011 - 2012
BEng, Civil Engineering, Loughborough University, 2008 - 2011
Person Types
- Staff
Fingerprint
Collaborations and top research areas from the last five years
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Innovative Syntegrative Education with Haier: Enhancing the Industry-Led Module Delivery for Customer orientated Mass Customisation and Manufacturing Systems with Haier
9/04/24 → 31/08/26
Project: Internal Research Project
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Digital Twins of Micro Air Vehicle with Artificial Intelligence and Human-in-the-Loop for Future Farming
1/09/22 → 31/08/25
Project: Internal Research Project
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The Formulation of a Transfer Learning Pipeline for Bone Fracture Diagnosis
1/06/24 → 30/09/24
Project: Internal Research Project
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A Neural Network Approach to Tool Wear Detection via Infrared Sensing
Xia, J., Song, R., Teng, L., Ma, Z., PP Abdul Majeed, A., Chen, Y. & Luo, Y., 22 Nov 2024, A Springer book series Lecture Notes in Networks and Systems. SpringerResearch output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
Cost-based Non-deep Learning for Planning and Decision-making Towards Enhancing Autonomous Driving's Safety and Comfort
Gan, S., Wu, S., Luo, Y. & Zhang, F., 22 Aug 2024, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
Open AccessFile21 Downloads (Pure) -
Cost-benefit analysis and technology transition management of automation adoption in tea plucking based on system dynamic model design
Gao, Z., Tan, A. H. P., Lo, Y. T., Zheng, Y. & Luo, Y., 2024, (Accepted/In press) International Conference on Intelligent Manufacturing and Robotics 2024: ICiMR 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Enhancing Bone Fracture Detection: A Feature-Based Transfer Learning Approach Using DenseNet with SVM
Luo, Y., Liu, X., Song, R., P.P. Abdul Majeed, A., Zhang, F., Xu, Y., Tan, A. H. P. & Chen, W., 2024, (Accepted/In press) International Conference on Intelligent Manufacturing and Robotics 2024: ICiMR 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open AccessFile30 Downloads (Pure) -
Enhancing Efficiency and Profit Growth in Automotive Final Assembly: A System Dynamics Approach to Automated Feeding and Fastening Systems
Liu, J., Tan, A. H. P., Zheng, Y., Luo, Y. & Lo, Y. T., 2024, (Accepted/In press) International Conference on Intelligent Manufacturing and Robotics 2024: ICiMR 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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Performance Analysis of Feature-Based Transfer Learn-ing Using VGG19 for Detecting Hairline and Spiral Fractures
Yang Luo (Speaker), Yi Chen (Speaker), Xiaoyan Liu (Speaker) & Jiahua Xia (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Leveraging Transfer Learning as Feature Extractors for Lung Cancer Classification: Insights from VGG19 and ResNet152 Pipelines
Yang Luo (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR)
Anwar P.P. Abdul Majeed (Organiser), Yang Luo (Organiser), Fan Zhang (Organiser) & Wei Chen (Chair)
22 Aug 2024 → 24 Aug 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Enhancing Bone Fracture Detection: A Feature-Based Transfer Learning Approach Using DenseNet with SVM
Yang Luo (Speaker), Xiaoyan Liu (Speaker), Fan Zhang (Speaker) & Andrew Huey Ping Tan (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Cost-based Non-deep Learning for Planning and Decision-making Towards Enhancing Autonomous Driving's Safety and Comfort
Shihao Gan (Speaker), Yang Luo (Speaker) & Fan Zhang (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar