• Ph.D., Research Assistant Professor
• Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation
• Department of Computer Science and Engineering
• Southern University of Science and Technology
• Shenzhen 518055, China
Danial Yazdani received his Ph.D. degree in computer science from Liverpool John Moores University, Liverpool, United Kingdom, in 2018. He is a Data/System Analyzer and Algorithm/Simulation Designer with 10+ years of research experience in academia. He is currently a Research Assistant Professor with the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. His current research interests include evolutionary algorithms, data science, machine learning, simulation, and their applications in real-world problems such as logistics/transportation. He is a member of the IEEE Task Force on Evolutionary Computation in Dynamic and Uncertain Environments and IEEE Task Force on LargeScale Global Optimization. He was a recipient of the Best Thesis Award from the Faculty of Engineering and Technology, Liverpool John Moores University, and the SUSTech Presidential Outstanding Postdoctoral Award from the Southern University of Science and Technology.
• Evolutionary Computation
• Heuristics
• Dynamic Optimization Problems
• Machine Learning
• Data Analytics
• Simulation
• And their applications in logistics/transportation
2021-12-24Tutorial at WCCI
I and Prof. Xin Yao will give a tutorial "Evolutionary Continuous Dynamic Optimization" at WCCI 2022 .
2021-12-24Competition at WCCI
2021-11-28Tutorial at GECCO
I and Prof. Xin Yao will give a tutorial "Evolutionary Continuous Dynamic Optimization" at GECOO 2022 .