Hi. I am Associate Professor Dr. Xinlu Li [李新路副教授], member of the Institute of Applied Optimization [应用优化研究所] of the School of Artificial Intelligence and Big Data [人工智能与大数据学院] of the Hefei University [合肥学院]. I received my PhD in Computer Science in 2019 under the supervision of Dr. Fred Mtenzi and Dr. Brian Keegan from the Technological University Dublin (TU Dublin) in Dublin, Ireland and my M.Sc. from Anhui University [安徽大学], Hefei, Anhui, China in 2009. I was Senior Lecturer at Hefei University from 2012 to November 2019 and since December 2019, I am Associate Professor. My research is focused on energy efficient routing protocol design for large-scale Wireless Sensor Networks based on Swarm Intelligence Algorithms.
Several facets of my research work can be accessed from the following profiles:
Here you can find a compilation of my scientific publications.
international journal articles
Thomas Weise, Yan Chen, Xinlu Li, and Zhize Wu. Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms. Applied Soft Computing Journal (ASOC), Accepted for publication and in press. Available online 6 April 2020, 106269.
doi:10.1016/j.asoc.2020.106269, freely online available until June 4, 2020
Indexing: EI, WOS, ESCI, 1区
Zhi-Ze Wu, Shou-Hong Wan, Xiao-Feng Wang, Ming Tan, Le Zou, Xin-Lu Li, and Yan Chen. A Benchmark Data Set for Aircraft Type Recognition from Remote Sensing Images. Applied Soft Computing Journal (ASOC). 89:106132. April 2020.
Indexing: EI, WOS, ESCI, 1区
Xinlu Li, Brian Keegan, Fredrick Mtenzi, Thomas Weise, and Ming Tan. Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks. IEEE Access 7:113182–113196. August 2019.
doi:10.1109/ACCESS.2019.2934889 / pdf@IAO / pdf@IEEE
Indexing: EI, SCIE, 2区
Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Energy Efficient Hybrid Routing Protocol Based on the Artificial Fish Swarm Algorithm and Ant Colony Optimization for WSNs. Sensors, 18(10):3351, October 2018.
doi:10.3390/s18103351 / pdf
Indexing: SCI, EI, 3区.
Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Clustering Opportunistic Ant-Based Routing Protocol for Wireless Sensor Networks. In Proceedings of the 7th International Conference on Computer Engineering and Networks (CENet2017), July 22-23, 2017, Shanghai, China, volume 299 of Proceedings of Science (PoS), Trieste, Italy: Sissa Medialab.
doi:10.22323/1.299.0038 / pdf
Xinlu Li, Brian Keegan, and Fredrick Mtenzi. Ant Colony Clustering Routing Protocol for Optimization of Large-Scale Wireless Sensor Networks. In Cristina Muntean and Pramod Pathak, editors, Proceedings of the 14th Information Technology and Telecommunications Conference (IT&T'2015), October 29-30, 2015, National College of Ireland, Dublin, Ireland, pages 2–9. ISSN 1649-1246
Jie Song and Xinlu Li. Porting μC/OS-II based on NE-STR750. In Proceedings of the 2nd International Symposium on Information Technologies and Applications in Education (ISITAE 2008), December 7-10, 2008, Auckland, New Zealand, pages 247–251. Institution of Engineering and Technology (IET). ISBN: 978-0-86341-913-3.
national journal articles
Xinlu Li and Guanghong Zhang. Energy-Efficient Clustering Routing Algorithm for Multi-Level Energy Heterogeneous Networks. Journal of Chaohu College. 17(3):20–25, 2015. (Chinese Article)
Thomas Weise, Zhize Wu, Xinlu Li, and Yan Chen. Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function. Submitted to IEEE Transactions on Evolutionary Computation in January 2020. Preprint available at arXiv:2001.01416v2 [cs.NE] 7 Jan 2020.
pdf / paper@arxiv / experimental results and source code data set @ doi:10.5281/zenodo.3598171
1. Work Experience
- Associate Professor [副教授]
- Teaching Assistant
- Senior Lecturer
2. Education and Training
- PhD of Computer Science [博士]
- Master of Computer Science [硕士]
- Bachelor [学士]
You may use the following electronic methods to contact me:
|Contact:||Assoc. Prof. Dr. Xinlu Li||[李新路副教授]|
|Mobile Phone:||+86 1865 6534 032||[手机]|
- Reviewer: Applied Soft Computing, ISSN: 1568-4946, Elsevier Journal
- Reviewer: Black Box Discrete Optimization Benchmarking (BB-DOB) Workshop at the Genetic and Evolutionary Computation Conference (GECCO 2019), July 13-17, 2019, Prague, Czech Republic
- Reviewer: Special Session on Benchmarking of Evolutionary Algorithms for Discrete Optimization (BEADO) at the 2019 IEEE Congress on Evolutionary Computation (CEC'19), June 10-13, 2019 in Wellington, New Zealand.