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Rui Yang

Associate Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20102024

Research activity per year

Personal profile

Personal profile

Rui Yang received his Ph.D. degree and B.Eng degree from National University of Singapore (NUS). His research centers on Intelligent Control and Optimization, with special interests in pattern recognition (PR), artificial neural networks (ANN), transfer learning (TL), deep learning (DL), brain-computer interface (BCI), human-machine interaction (HMI), cognitive computation(CC), and evolutionary computation (EC). He serves as Associate Editor for esteemed international SCI indexed journals, including IEEE Transactions on Instrumentation and Measurement (IF=5.6), Neurocomputing (IF=5.5), and Cognitive Computation (IF=4.3).

Dr. Yang is the Founding Director of The Centre for Intelligent Control and Optimization (CICO), the XJTLU-AUO-Optronics (AUO) Collaborative Research Centre. The research center aims to carry out in-depth cooperation in scientific research and industrial collaboration. By integrating artificial intelligence methods such as data analysis, visual inspection, data mining, machine learning, decision support, and optimization, with industrial expert knowledge, the Centre strives to achieve the ultimate goals of intelligent control and system optimization.

Dr. Yang is recruiting PhD, MRes/MSc, and UG Students in the following directions:

1. Intelligent Optimization of Complex Engineering System;

2. Deep Transfer Learning in Brain-Computer Interface;

3. Human-Machine Interaction in Robot/Virtual Reality.

Students working with me usually can publish paper as the first author in top journals (such as IEEE TNSRE, IEEE TIM, IEEE TVCG, IEEE TCDS, IEEE TETCI, Neurocomputing, CEP, CIBM) and top conferences (such as IEEE VR, UIST). 

For students who are interested in doing projects related to the above directions, please feel free to send me an email: R.Yang@xjtlu.edu.cn

Research interests

Intelligent Control and Optimization:

pattern recognition (PR)artificial neural networks (ANN)transfer learning (TL)deep learning (DL)brain-computer interface (BCI)human-machine interaction (HMI), cognitive computation (CC), evolutionary computation (EC)

Experience

Associate Professor, Xi’an Jiaotong-Liverpool University, Suzhou, China

Associate Professor, Shandong University of Science and Technology, Qingdao, China

Teaching Assistant, National University of Singapore, Singapore

Software Engineer, Accenture, Singapore

Teaching

INT202 Complexity of Algorithms

INT301 Bio-Computation

Awards and honours

2024, 1st-Class Award in Natural Science Award, Intelligent Detection and Fault Diagnosis Method for Abnormal Working Conditions in Complex Industrial Processes, Shandong Automation Association

2021, Jiangsu Provincial Talent Programme Qinglan Project, Jiangsu

2020, Jiangsu Provincial Innovation Entrepreneurship Talent, Jiangsu

2015, Key Member of Taishan Scholar Project of Shandong Province, China

2008-2022, National University of Singapore Research Scholarship, Singapore

2004-2008, Ministry of Education Scholarship, Singapore

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):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

PhD, National University of Singapore, Singapore

B.Eng, National University of Singapore, Singapore

Person Types

  • Staff

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