Projects per year
Personal profile
Personal profile
Yang Luo is an Assistant Professor at XJTLU with over 10 years of experience in research, industry, and teaching, specializing in advanced manufacturing research. He is a Chartered Engineer with the IMechE and a Fellow of the Higher Education Academy (FHEA) and a member with the IET. His research focuses on Modelling and Control, with the application of Machine Learning and Deep Learning, driving innovations in AI for Manufacturing and Intelligent Agricultural Technologies. His current research includes industry-driven projects focused on eco-intelligent manufacturing and decarbonizing the manufacturing industry, with particular interests in AI-driven optimization with process optimization in manufacturing. With over 30 publications and editorial roles in prestigious journals and book series, Dr. Luo is committed to advancing knowledge in the application of machine learning and deep learning in different domains.
Research interests
Modelling and Control Systems
Machine Learning and Deep Learning Applications
AI in Advanced Manufacturing
Intelligent Agricultural and Food Processing Technologies
Eco-Intelligent Manufacturing and Decarbonization
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 Customer-oriented Mass Customization and Manufacturing Systems (Haier Group)
MFE204TC Artificial Intelligence and Data Analysis
MFE205TC Manufacturing Process
MFE405TC Bespoke Industrial Studio - 2
Awards and honours
2024, School Winner in the Summer Undergraduate Research Fellowship (SURF)
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
Dive into the research topics where Yang Luo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
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
-
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
-
The Formulation of a Transfer Learning Pipeline for Bone Fracture Diagnosis
1/06/24 → 30/09/24
Project: Internal Research Project
-
A Hybrid Deep Learning Algorithm for Forecasting of Global Currency Market
San, T. J., Ajibade, S. S. M., Yong, Y. L., Ajibade, T. I., Ayodele, O. E., Oyewopo, A. O., Majeed, A. P. P. A. & Luo, Y., 2025, Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Chen, W., Ping Tan, A. H., Luo, Y., Huang, L., Zhu, Y., PP Abdul Majeed, A., Zhang, F., Yan, Y. & Liu, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 672-693 22 p. (Lecture Notes in Networks and Systems; vol. 1316 LNNS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
An Inconsistency-Based Hybrid Feature Selection Approach for Enhancing Medical Classification Modeling
Zhao, R., ALDharhani, G. S., Ratnavelu, K., Thambiayya, S., Jasser, M. B., Majeed, A. P. P. A. & Luo, Y., 2025, Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Chen, W., Ping Tan, A. H., Luo, Y., Huang, L., Zhu, Y., PP Abdul Majeed, A., Zhang, F., Yan, Y. & Liu, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 662-671 10 p. (Lecture Notes in Networks and Systems; vol. 1316 LNNS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
Ball Screw Drive Surface Defect Model Based on Transfer Learning Approach
Xu, Y., Luo, Y., Majeed, A. P. P. A., Liu, X., Zhu, Y. & Chen, W., 2025, Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Chen, W., Ping Tan, A. H., Luo, Y., Huang, L., Zhu, Y., PP Abdul Majeed, A., Zhang, F., Yan, Y. & Liu, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 451-457 7 p. (Lecture Notes in Networks and Systems; vol. 1316 LNNS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
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., 2025, Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Chen, W., Ping Tan, A. H., Luo, Y., Huang, L., Zhu, Y., PP Abdul Majeed, A., Zhang, F., Yan, Y. & Liu, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 234-252 19 p. (Lecture Notes in Networks and Systems; vol. 1316 LNNS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
-
Cost-Benefit Analysis and Technology Transition Management of Automation Adoption in Tea Plucking Based on System Dynamics Model Design
Gao, Z., Tan, A. H. P., Tuan, J. L. Y., Zheng, Y. & Luo, Y., 2025, Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 - Advances in Intelligent Manufacturing and Robotics. Chen, W., Ping Tan, A. H., Luo, Y., Huang, L., Zhu, Y., PP Abdul Majeed, A., Zhang, F., Yan, Y. & Liu, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 208-220 13 p. (Lecture Notes in Networks and Systems; vol. 1316 LNNS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
-
Towards Automated Fracture Detection: A Study on Feature-Based Transfer Learning with Xception for Hairline and Avulsion Fractures
Yang Luo (Speaker), Hongwei Li (Speaker), Xiaoyan Liu (Speaker) & Yi Chen (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
-
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
-
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
-
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
-
Feature-Based Transfer Learning for High-Value Com-ponent Recovery in Electric Vehicles: An InceptionV3 Model Evaluation
Yang Luo (Speaker), Fan Zhang (Speaker), Joe Lo (Speaker), Andrew Huey Ping Tan (Speaker) & Yuyi Zhu (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar