Dr. Yu is an associate professor and master supervisor of School of economics and management of Nanjing University of Aeronautics and Astronautics. He graduated from Southeast University and McMaster University of Canada. He is mainly engaged in the research of intelligent algorithm and green scheduling, data-driven energy economy simulation and renewable energy policy analysis. He has successively served as director of the Chinese energy resources system engineer Society (2017 -), director of sorting branch of China Operations Research Society (2017 -), director of China intelligent simulation optimization and scheduling Committee (2018 -), member of American Society for decision making science (DSI) (2016-2017), letter evaluation expert of National Natural Science Foundation (2018 -), letter evaluation expert of doctoral dissertation of University of Sydney, Australia (2019 -), international journal int. J. environment Protection Policy editorial board member (2020 -), Bentham Sciences Publishing Ambassador (2020 -) and more than 20 SCI journal reviewers, including Annals of Operations research, Applied Energy, Applied Soft Computing, Energy Policy, Frontiers in Energy, Omega, International Journal of System Sciences and The computer journal. More than 30 papers have been published in conferences and reputable journals, such as energy policy, energy, Renewable Energy，Journal of scheduling, International Journal of production research, environmental science and pollution research, International Transactions in Operational Research，information processing letters, Journal of the Operations Research Society of China, Applied mathematical modeling, etc. He has successively presided over more than 10 scientific research projects such as NSFC general projects, humanities and social sciences fund of the Ministry of education, China Postdoctoral Fund (first-class funding & special funding), national public study abroad fund, etc., and participated in more than 10 national, provincial and ministerial projects such as NSFC MAJOR fund, NSFC key fund and NSFC general fund. For the course teaching of Dr. Yu, the bachelor courses are applied statistics, basic industrial engineering, discrete mathematics, and the graduate courses are scheduling theory and application, business ethics and corporate social responsibility, etc.

Recent Publications:

[1] Xianyu Yu, Shengxian Ge, Dequn Zhou, Qunwei Wang, Ching-Ter Chang*, Xiuzhi Sang*, Can China's Photovoltaic Power Generation Firms be Effectively Supported Under the backgorud of Feed-in-tariff declining? An Integrated Analysis of Multiple Policies, Energy, 2022, 245, 123241 .

[2] Zhuojia Dong, Xianyu Yu, Ching-Ter Chang*, Dequn Zhou, Xiuzhi Sang, How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics, Renewable Energy, 2022, 186, 864-877.

[3] Xiuzhi Sang, Xianyu Yu,  Ching-Ter Chang*,  Xinwang Liu, Electric bus charging station site location using an extended fuzzy multi-criteria decision making method, Computer & Industrial Engineering, 2022, 168, 108116.

[4] Xianyu Yu, Zhen Wang, Kai Huang, Dehua Xu*, Xiuzhi Sang, Scheduling Problems with Rejection and Piece-rate Maintenance to Minimize the Total Weighted Completion Time, International Journal of Automation and Control，(2022), 16(1): 64-86. 

[5] Dehua Xu*, Zhijun Xu, Limin Xu, Xianyu Yu. Short term scheduling with machine calibration[J]. International Transactions in Operational Research, 2022, 29(5): 3031-3050. 

[6] Dehua Xu*, Limin Xu, Xianyu Yu, Scheduling with day shifts and breaks, International Transactions in Operational Research, 2021, 28(2): 598-614.

[7] Xianyu Yu, Zhuojia Dong, Dequn Zhou, Xiuzhi Sang, Ching-Ter Chang*, Xinhuan Huang*, Integration of tradable green certificatestrading and carbon emissions trading: How will Chinese power enterprises do? Journal of Cleaner Production, 2021, 279: 123485. 

[8] Dehua Xu, Limin Xu, Zhijun Xu, Xianyu Yu*, A note on scheduling on uniform parallel machine with unavailability constraints, International Journal of Production Research, 2021, 59(16): 5083-5086.

[9] Xianyu Yu, Zemin Wu, Qunwei Wang, Xiuzhi Sang and Dequn Zhou*, Exploring the Investment Strategy of Power Enterprises under the Nationwide Carbon Emissions Trading Mechanism: A Scenario-based System Dynamics Approach, Energy Policy, (2020), 140(111409): 1-11. 

[10]     Yue Xue, Zhijian Rui, Xianyu Yu*, Xiuzhi Sang, Wenjie Liu, Estimation of Distribution Evolution Memetic Algorithm for the Unrelated Parallel-machine Green Scheduling Problem, Memetic Computing, (2019) 11:423-437

[11]      Xiuzhi Sang, Yingheng Zhou, Xianyu Yu*，An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection，Information Sciences (2019)，504：546-560 

[12]     Xianyu Yu, Lei Jin，Qunwei Wang*，Dequn Zhou, Optimal path for controlling pollution emissions in the Chinese electric-power industry considering technological heterogeneity，Environmental Science and Pollution Research，(2019), 26(11): 11087–11099. 

[13] Wenjie Liu et al. Xianyu Yu. Production planning for stochastic manufacturing/remanufacturing system with demand substitution using a hybrid ant colony system algorithm, Journal of Cleaner Production ,  (2019), 213:999-1010

[14]     Xianyu Yu, Dar-Li Yang, Dequn Zhou, Peng Zhou, Multi-Machine Scheduling with Interval Constrained Position-Dependent Processing Times, Journal of Industrial and Management Optimization, (2018), 14(2):803-815.  

[15]     Jingliang Jin， Peng Zhou，Mingming Zhang, Xianyu Yu, Hao Ding, Balancing low-carbon power dispatching strategy for wind power integrated system, Energy, (2018), 149:914-924.