北京工业大学工学博士(2006-2010)，香港浸会大学博士后(2010-2012)，

1. 主持项目（在研） (1) 国家自然科学基金面上项目(61976181)，数据驱动的社交网络传播控制关键理论与技术研究, 61万, 2020.1-2023.12 (2) 国家自然科学基金重点项目子课题(11931015)，数据驱动的行为决策理论、实验及应用研究, 40万，2020.1-2023.12 (3) 重庆市基础研究与前沿探索项目(cstc2018jcyjAX0274)，数据驱动的网络控制策略研究，10万，2018.7-2021.6 2. 主持项目（结题） 国家自然科学基金青年基金(61402379)、教育部博士点新教师基金(20120182120016)、重庆市自然科学基金(cstc2012jjA40013)、符号计算与知识工程教育部重点实验室开放基金(93K172014K02)、教育部中央高校基础业务费重点项目(XDJK2012B016)和重大项目(XDJK2016A008)、西南大学博士基金(SWU111024) 3. 参研项目（在研） 重庆市自然科学基金重点项目(cstc2019jcyj-zdxmX0025)、多源异构科技大数据整合与深度挖掘技术研究, 80万, 2019.4-2022.4 (排名第二) 4. 参研项目（结题） 国家自然科学基金(60642003, 61403315)、北京市自然科学基金(4102007)、重庆市自然科学基金重点项目(cstc2012jjB40012)、重庆市基础与前沿研究计划项目(cstc2013jcyjA40022)、教育部中央高校基础业务费一般项目(XDJK2012C018)

Selected Publications: 1. Nature-inspired computing • Chao Gao, Chen Liu, Daniel Schenz, Xuelong Li, et al., Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations, Physics of Life Reviews, 2019, 1-26 (IF=11.045, JCR-1) • Chao Gao, Chen Liu, Daniel Schenz, Xuelong Li, et al., Physarum inspires research beyond biomimetic algorithms: Reply to comments on "Does being multi-headed make you better at solving problems?", Physics of Life Reviews, 2019, 29: 51-54 (IF=11.045, JCR-1) • Chao Gao, Zhengpeng Chen, Xianghua Li, et al., Multiobjective discrete particle swarm optimization for community detection in dynamic networks. EPL(Europhysics Letters), 2018, 122(2): 28001 (IF=1.834, JCR-2) • Yuxin Liu, Chao Gao, Zili Zhang, et al., Solving NP-hard problems with physarum-based ant colony system, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017,14(1):108-120(IF=2.428, CCF-C, JCR-2) • Chao Gao, Shi Chen, Xianghua Li, et al., A physarum-inspired optimization algorithm for load-shedding problem, Applied Soft Computing, 2017, 61: 239-255 (IF=3.541,JCR-2) • Mingxin Liang, Chao Gao, Zili Zhang. A new genetic algorithm based on modified Physarum network model for bandwidth-delay constrained least-cost multicast routing, Natural Computing, 2017,16(1):85-98(IF=0.757, CCF-C) • Zili Zhang, Chao Gao, Yuxiao Lu, et al.,Multi-objective ant colony optimization based on the Physarum-inspired mathematical model for bi-objective traveling salesman problems. PLoS ONE, 2016, 11(1): e0146709. (23 pages, IF=3.234) • Zili Zhang, Chao Gao, Yuxin Liu, et al., A universal optimization strategy for ant colony optimization algorithms based on the Physarum-inspired mathematical model. Bioinspiration & Biomimetics, 2014, 9(3): 036006 (14 pages, IF=2.354) 2. Complex network analytics • Chao Gao, Zhen Su, Jiming Liu, Jurgen Kurths, Even central users do not always drive information diffusion. Communications of the ACM, 2019, 62(2): 61-67. (IF=3.063, JCR-1) • Chao Gao, Mingxin Liang, Xianghua Li, et al., Network community detection based on the Physarum-inspired computational framework. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(6): 1916-1928 (IF=2.428, CCF-C, JCR-2) • Zhen Su, Fanzhen Liu, Chao Gao, et al., Inferring infection rate based on observations in complex networks, Chaos, Solitons and Fractals, 2018, 107: 170-176 (IF=3.064, JCR-3) • Xianghua Li, Jingyi Guo, Chao Gao, et al., A hybrid strategy for network immunization, Chaos, Solitons and Fractals, 2018, 106: 214-219 (IF=3.064, JCR-3) • Chao Gao, Lu Zhong, Xianghua Li, et al., Combination methods for identifying influential nodes in networks. International Journal of Modern Physics C, 2015, 26(6): 1550067 (20 pages, IF=1.260) • Chao Gao, Jiming Liu, Ning Zhong, Network immunization with distributed autonomy-oriented entities. IEEE Transactions on Parallel and Distributed Systems, 2011, 22(7):1222-1229 (IF=2.170, CCF-A) • Chao Gao, Jiming Liu, Ning Zhong, Network immunization and virus propagation in email networks: experimental evaluation and analysis. Knowledge and Information Systems, 2011, 27(2):253-279 (IF=2.639, CCF-B) • Jiming Liu, Chao Gao, Ning Zhong, Autonomy-Oriented search in dynamic community networks: a case study in decentralized network immunization. Fundamenta Informaticae, 2010, 99(2):207-226 (IF=0.717, CCF-C) 3. Data analytics and data-driven complex systems modeling • Zhanwei Du, Yongjian Yang, Zeynep Ertem, Chao Gao, et al., Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China, Scientific Data, 2019, 6: Article number 71 (IF=5.928, JCR-3) • Zhanwei Du, Yongjian Yang, Chao Gao, et al., The temporal network of mobile phone users in Changchun Municipality Northeast China, Scientific Data, 2018, 5: 180228 (IF=5.305, JCR-3) • Xianghua Li, Jurgen Kurths, Chao Gao, et al., A hybrid algorithm for estimating origin-destination flows, IEEE Access, 2018, 6(1): 677-687 (IF=3.557, JCR-2) • Xianghua Li, Zhen Wang, Chao Gao, Lei Shi, Reasoning human emotional response from large-scale social and public media. Applied Mathematics and Computation, 2017, 310: 128-193 (ESI, IF=2.300, JCR-2) • Yuxin Liu, Chao Gao, Zili Zhang, et al., A new multi-agent system to simulate the foraging behaviors of physarum, Natural Computing, 2017,16(1):15-29(IF=0.860, CCF-C) • Chao Gao, Jiming Liu, Network-based modeling for characterizing human collective behaviors during extreme events, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 46(1):171-183 (IF=5.131) • Chao Gao, Jiming Liu, Uncovering spatiotemporal characteristics of human online behaviors during extreme events, PLoS ONE, 2015, 10(10): e0138673 (14 pages, IF=3.234) • Chao Gao, Jiming Liu, Modeling and restraining mobile virus propagation. IEEE Transactions on Mobile Computing, 2013, 12(3): 529-541 (IF=2.543, CCF-A)