Yang Hao, Doctor of Engineering, Associate Professor;

Email: vhyang@foxmail.com;

Research and postgraduate enrollment direction:

1. Big data mining and high-performance computing;

2. Artificial intelligence and intelligent weather;

Profile:

Dr. Yang Hao, an associate professor, is currently the director of the Teaching and Research Section of Intelligent Science and Technology in the School of Computer Science, Chengdu University of Information Engineering. The main research directions are: big data mining and high-performance computing, artificial intelligence and smart weather.

Dr. Yang Hao, a doctor of computer application technology, was jointly trained by the University of Electronic Science and Technology of China and the University of Nottingham. From 2012 to 2014, he was engaged in digital image processing research in the School of Computer Science of the University of Nottingham, UK, and from 2019 to 2020, he was engaged in research on prediction and correction of disastrous weather based on artificial intelligence in the Numerical Prediction Center of the National Meteorological Administration. Dr. Yang Hao graduated from Shanghai Jiaotong University and Southwest Jiaotong University with a master's degree and a bachelor's degree in 2010 and 2003 respectively.

Dr. Yang Hao has undertaken and participated in more than 10 internal medicine research projects, including national key research and development projects, Sichuan Science and Technology Plan, National Meteorological Center, and China Nuclear Power Research and Design Institute. He has published more than 20 academic papers, including more than 10 SCI/EI searches, 5 authorized invention patents, and 1 textbook.

Dr. Yang Hao actively participates in scientific research and academic activities. Currently, he is a member of the High Performance Professional Committee of Sichuan Computer Society, a member of the Health Care Big Data Special Committee of Sichuan Health Information Society, and a reviewer of international journals such as Computers, Materials&Continua, Physical Science International Journal.

Currently undertaking scientific research projects:

1. Person in charge of the subproject of the national key research and development program "GRAPHES-3km convective scale ensemble forecasting technology and system".

2. Project leader of the key research and development project of Sichuan Science and Technology Plan, "Research on Framework of Small Scale Atmospheric Diffusion Model Based on Efficient Parallel Computing".

3. Person in charge of the subproject of the key research and development project of Sichuan Science and Technology Plan "Research on Key Technologies of Fine Meteorological Support for Disaster Avoidance".

4. National Meteorological Center, "Construction of radar based high-resolution fine numerical prediction service subsystem", project leader.

5. China Nuclear Power Research and Design Institute, "Research on Parallel Optimization of XXX and Application of XXX Algorithm Library", project leader.

Current teaching:

"Big data", postgraduate;

"Database Principle and Application", undergraduate;

Papers published in recent 3 years (* is the corresponding author):

1.Anqi Xie,Hao Yang*, Jing Chen, et al. A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network, Atmosphere, 2021, 12(5): 0-651。

2.Wei Lu, Guanghui Yuan,Hao Yang*, et al. Visualization of Reactor Core Based on Triangular Mesh Method[J]. Intelligent Automation and Soft Computing, 2021, 29(3):689-699.

3.GuiYing Zhang,Hao Yang*, and ZhiNi Li. Optimization and Parallelization of the Cosmological N-Body Simulation on Many-Core Processor[C]. International Conference on Artificial Intelligence and Security. Singapore, 2020:128-140.

4.Xianyu Wu, Chao Luo, Qian Zhang, Jiliu Zhou,Hao Yang*, Yulian Li.Text Detection and Recognition for Natural Scene Images using Deep Convolutional Neural Networks[J].Computers, Materials & Continua, 2019, 61(1):289-300.

5.邹茂扬,杨昊,潘光辉,钟勇.深度学习在医学图像配准上的研究进展与挑战[J].生物医学工程学杂志, 2019, 36(4):677-683.

6.H. Yang, H. Qiu and L. T. Chen. An optimized direction statistics for detecting and removing Random-valued impulse noise[J]. Journal of Industrial and Management Optimization, 2018, 14(2):597-611

7.Chao Liu,Hao Yang, Dong Wang, et al. New Parallel Algorithms for Direct Solution of Large Sparse Matrix Equations. International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), IEEE, 2018: 354-357.

8.Changming Zhao,Hao Yang, The Virtual Machine Placement Algorithm Based on Equivalent Resource Model in the Offloading Data Center of Mobile Cloud Environment[C]. International Conference on Advanced Cloud and Big Data (CBD), 2018:30-35.