Artificial intelligence, Machine learning, Medical image processing

• Lecturer, Department of Internet of Things, College of Computer Science and Engineering, Shandong University of Science and Technology
  Main Courses: Data Intelligence Analysis and Processing, Basics of Programming for Smart Hardware

Li Yang, male, born in 1991 in Laiyang, Shandong Province, holds a Ph.D. and is a member of the Communist Party of China. He graduated from Shanghai University in June 2023 with a Doctor of Engineering degree. From 2021 to 2022, he pursued joint doctoral training at Technische Universität Dresden in Germany. In July 2023, he joined the Department of Internet of Things, School of Computer Science and Engineering, Shandong University of Science and Technology. His main research interests include machine learning, medical image processing, deep learning, artificial intelligence, and coal pore-fracture analysis. He has published over 20 academic papers in journals and conferences both domestically and internationally, and has served as a reviewer for SCI-indexed journals including "IEEE Transactions on Instrumentation and Measurement," "Transactions of the Institute of Measurement and Control," "Neurocomputing," and "Expert Systems with Applications."

1. 2023.07–Present Lecturer at the School of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China.
2. 2021.08–2022.08 Joint PhD Program at the School of Computer Science, Dresden University of Technology, Dresden, Germany (Supervisor: Prof. Stefan Gumhold).
3. 2019.09–2023.06 PhD at the School of Mechanical and Electrical Engineering and Automation, Shanghai University (Supervisor: Prof. Wenju Zhou).
4. 2016.09–2019.07 Master at the School of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China (Supervisor: Prof. Jiancong Fan).
5. 2012.09–2016.07 Bachelor at the School of Computer Science and Engineering, Qingdao Agricultural University, Qingdao, China.

1. Machine Vision-Based Intelligent Traffic Light Dispatching System (January 2020-March 2021) – Embedded Software Development
   • Collaboration: Ningbo Jisheng Intelligent Technology Co., Ltd.
   • Description: Developed a vision-based moving vehicle speed measurement system and an intelligent traffic light dispatching system.
   • Responsibilities: Independently researched, designed, and developed an intelligent surveillance camera that detects traffic flow information and performs data analysis to achieve intelligent dispatching, reducing idle waiting time and improving traffic efficiency.
2. Multi-Biometric Drug Distribution System (October 2019-January 2020) – Host Computer Software Development
   • Collaboration: Shanghai Daojian Electromechanical Technology Co., Ltd.
   • Description: Developed an automatic drug distribution system with multi-biometric verification.
   • Responsibilities: Designed and implemented a doctor-patient drug information management system, created host computer software interface, and implemented facial recognition and ID card verification functions to control PLC for automatic drug distribution.
3. Online Display Screen Defect Detection Based on Machine Vision (March 2019 - August 2019)
   • Collaboration: Academician Chai Tianyou's team (Northeastern University) and Hangzhou Dafeng Technology Co., Ltd.
   • Description: Developed a vision-based display defect detection system.
   • Responsibilities: Equipment construction and interface design, feature point-based display screen position correction, and rapid detection and location of display screen defects at multiple scales.

1. National Natural Science Foundation of China General Project, "Research on Multimodal Interactive Educational Robots Integrating 3D Vision" (No. 61877065), January 2019-December 2022.
2. Ministry of Science and Technology Key R&D Program Project, "Research and Verification of Integrated Science and Technology Service Development Model and Mechanism" (No. 2019YFB1405501), December 2019-November 2022.
3. Liaoning Provincial Natural Science Foundation Project, "Intelligent Online Detection and Analysis System for Process Industry Video" (No. 2019-KF-23-08), January 2020-December 2021.
4. Ministry of Education Industry-University-Research Collaborative Education Project, "Construction and Reform of a Research-Based Challenging Course Artificial Intelligence Control Based on the RobeiPlatform" (No. 201901174007), January 2020-December 2020.
5. "Research and Development of an Industrial Internet Security Service Platform," funded by Shanghai Sanlingweishi Information Security Co., Ltd. This project involved developing an industrial internet service platform based on artificial intelligence and data security. This project ran from November 2019 to October 2020.
6. "Reconstruction of the Combustion Field and Energy Efficiency Optimization Control of Industrial Furnaces," a key project funded by the National Natural Science Foundation of China (No. 61833011). This project ran from January 2019 to December 2023.

1. First-Class and Second-Class Academic Scholarships, Shanghai University, 2021
2. Second Prize, "Huawei Cup" 13th National Postgraduate Mathematical Contest in Modeling, 2017
3. Third Prize, "Huawei Cup" 14th National Postgraduate Mathematical Contest in Modeling, 2018
4. Outstanding Postgraduate Student of Shandong Province, Shandong University of Science and Technology, 2019
5. Three First-Class Academic Scholarships, Shandong University of Science and Technology, 2016-2019

1. Yang Li, Wenju Zhou*, “A Novel Fuzzy Distance-Based Minimum Spanning Tree Clustering Algorithm for Face Detection”, Cognitive Computation, 2022,14,1350-1361.( SCI- 中科院二区收录 ,IF:4.89)
2. Yang Li, Wenju Zhou*, Li Liu, Haikuan Wang,“Cork Classification Based on Multi-Scale Faster-RCNN with Machine Vision”, Measurement, 2022,14,1350-1361.
3. Yang Li, Qihang Sun, Naidan Feng, Jianjun Liu “Sharp L2 Norm Convergence of Variable-Step BDF2 Implicit Scheme for the Extended Fisher–Kolmogorov Equation”, Journal of Function Spaces, 2023,3,1869660.
4. Yang Li, Wenju Zhou*, “F-DPC: Fuzzy Neighborhood-Based Density Peak Algorithm”, IEEE Access, 2020,8,165963-165972.
5. Tao Cong, Lin Jiang, Qihang Sun, Yang Li*, “Application of Rough Ant Colony Algorithm in Adolescent Psychology”, Computational Intelligence and Neuroscience, 2021,1,1-12.
6. Yang Li, Wenju Zhou*, Yulin Xu, Xiangrong Ni, Yu Zhou, “Application of a New Attribute Reduction Algorithm in Intracranial Aneurysm Prediction”, Communications in Computer and Information Science.
7. Yang Li, Wenju Zhou*, Binghui Zhao, Peiwen Sun, Fulong Yao, “Brain Medical image fusion based on multi-scale contextual reasoning”, Applied Intelligence.
8. Qihang Sun, Xiuling Hu, Xin Li, Yang Li*, Luming Zhang, “A new multi-step BDF energy stable technique for the extended Fisher–Kolmogorov equation”, Computers and Mathematics with Applications.
9. Yang Li, Jian-cong Fan*, Jeng-Shyang Pan, Gui-han Mao, Geng-kun Wu, “A Novel Rough Fuzzy Clustering Algorithm with A New Similarity Measurement”, Journal of Internet Technology,2019,4,201907.
10. Rongfei Chen, Yang Li, Wenju Zhou*, Huiyu Zhou “Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis”, IEEE Transactions on Circuits and Systems for Video Technology,2022,10,1109-1115.
11. Jian-Cong Fan*, Yang Li, Lei-Yu Tang, Geng-Kun Wu, “RoughPSO: rough set-based particle swarm optimisation”, International Journal of Bio-Inspired Computation, 2018.
12. Jinyu Wen, Yang Li, Meie Fang, Lei Zhou. Fine-Grained and Multiple Classification for Alzheimer’s Disease with Wavelet Convolution Unit Network. IEEE Transactions on Biomedical Engineering, 2023.