Biography

I received my B.S. degree in Information and Computing Sciences from Lanzhou University of Technology in 2008, and my M.Eng. degree in Software Engineering from Dalian Maritime University in 2012, under the supervision of Prof. Rong Chen. In the same year, I joined Lanzhou Petrochemical College of Vocational Technology, where I was an Assistant Lecturer with the Department of Information Processing and Control Engineering from Sept. 2012 to Jul. 2015. I received my Ph.D. degree in Control Science and Engineering from Xi'an Jiaotong University, China, in Dec. 2019, under the supervisor of Prof. Liangjun Ke. I was a visiting Ph.D. student to Prof. Liqun Fu' s group at Xiamen University from Apr. 2017 to Jun. 2018,  and Prof. Ke Tang's group at Southern University of Science and Technology from Aug. 2018 to Jun. 2019. Since Mar. 2020,  I am a Lecturer with School of Information Science and Engineering, Lanzhou University, China.  I am also an IEEE member and an IEEE ComSoc member.

Research Interests

I am dedicated to a new frontier in interdisciplinary research,  involving AI, machine learning, IoT, operations research, ecology, grass science, and other related fields. In particular, my research interests are focused on energy-efficient design, network resource optimization, federated learning, reinforcement learning, combinatorial optimization, evolutionary learning, and their application in ecology and environment protection. 

Publications

 Preprints

Journal Papers

1. Dongbin Jiao, Lingyu Wang, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang, and Fengyuan Ren. "Unmanned Aerial Vehicle-Enabled Grassland Restoration with Energy-Sensitive of Trajectory Design and Restoration Areas Allocation via A Cooperative Memetic Algorithm",  Engineering Applications of Artificial Intelligence, vol. 133, p. 108084,  2024.

2. Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, and Ke Tang. "Optimal Energy-Delay Scheduling for Energy Harvesting WSNs with Interference Channel via Negatively Correlated Search", IEEE Internet of Things Journal, vol. 7, no 3, pp. 1690-1703 , 2020.

3. Dongbin Jiao, Liangjun Ke, Shengbo Liu, and Felix T.S. Chan. "Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channels ", Sensors,  vol. 19, no. 4, p. 785, 2019.

4. Dongbin Jiao, Liangjun Ke, Weibo Yang, and Jing  Li. "An Estimation of Distribution Algorithm Based Dynamic Clustering Approach for Wireless Sensor Networks", Wireless Personal Communications, vol. 97, no. 3, pp. 4697 - 4727, 2017.

Conference Papers

1. Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, and Ke Tang. "Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search", in Proceedings of the  53rd IEEE International Conference on Communications (ICC) , May 2019.

2. Dongbin Jiao, Liangjun Ke, Weibo Yang, and Jing Li. "An Estimation of Distribution Algorithm Based Load-balanced Clustering of Wireless Sensor Networks", in Proceedings of the 20th IEEE International Conferences on Computational Science and Engineering (CSE), vol. 1. IEEE, 2017, pp. 151-158.

Teaching 

• Optimization Methods (Spring, Undergraduate)

• Data Structure and Algorithm (Spring, Undergraduate)

• Convex Optimization and Its Application (Fall, Graduate)

• Information Technology Foundations (Fall, Undergraduate)

• Fundamentals of Artificial Intelligence (Fall, Undergraduate, with Prof. Long Jin)

• Application of AI in Life Science (Fall, Undergraduate, with the other Professors)

• AI Analysis, Synthesis, and Design of Chemical Process (Fall, Undergraduate, with the other Professors)

• Application and Foundation of Modern Communication Networks (Spring, Undergraduate, with the other Professors)

Current Students 

I am fortunate to work together with these outstanding students:

Graduate Students

• Xianyi Wang  (Co-supervise with Prof. Shi Yan)

• Zhihao Li  (Co-supervise with Prof. Shi Yan)

Undergraduate Students

• Xianyi Wang, Xin'an Chen, Wenxuan He, and Zhihao Li (2021 - )

• Ben Xu, Jialei Li, Wentao Gao, and Qingyuan Qu (2022 - )

Alumni

• Wen Fan (2020 - 2024),  working as an Engineer at Chery Automobile, Hefei.

• Yuchen Yuan  (2020 - 2024), pursuing Ph.D degree at National University of Defense Technology. 

• Weichao Deng (2020 - 2024), pursuing Ph.D degree at University of Chinese Academy of Sciences. 

• Zihao Wang (2020 - 2024), Outstanding Undergraduate Thesis Award.

• Huakang Lin (2020 - 2024), pursuing Ph.D degree at Louisiana State University. 

• Zhentao Zou (2019 - 2023), Outstanding Undergraduate Thesis Award, pursuing Ph.D degree at Shanghai Jiao Tong University. 

• Lingyu Wang (2019 - 2023), Outstanding Undergraduate Thesis Award, pursuing Master degree at University of Science and Technology of China. 

• Honglei Miao (2019 - 2023), Outstanding Undergraduate Thesis Award, pursuing Master degree at Lanzhou University. 

• Miao Li (2019 - 2023), pursuing Master degree at Harbin Institute of Technology. 

• Bowen Jia (2019 - 2023), pursuing Master degree at Southeast University. 

• Bo Liu (2017 - 2022), Outstanding Undergraduate Thesis Award, pursuing Master degree at University of Science and Technology of China. 

• Zuyu Guo (2017 - 2022), Outstanding Undergraduate Thesis Award. 

• Wu Huang(2018 - 2022), pursuing Master degree at Huazhong University of Science and Technology.

• Yu Peng (2017 - 2021), Outstanding Undergraduate Thesis Award, working as an Engineer at Mobvoi, Nanjing. 

• Wenjiang Ma (2017 - 2021)

Reviewers

Journals

• IEEE Transactions on Communications 

• IEEE Internet of Things Journal

• IEEE Transactions on Transportation Electrification 

• Applied Energy

• CAAI Transactions on Intelligence Technology 

• Reliability Engineering & System Safety 

• Software: Practice and Experience

• Engineering Applications of Artificial Intelligence

• Journal of Communications and Information Networks

• Land Use Policy

• IEEE Access

• IET Communications

• Wireless Personal Communications 

Conferences

• IEEE ICC

• IEEE ICCC

Contact

Address:  Room 313, Feiyun Building, No. 222 South Tianshui Road, Lanzhou, Gansu Province, 730000, P.R. China.