个人简历赖李媛君，女，博士，2009年、2012年、2015年于北京航空航天大学自动化科学与电气工程学院获学士、硕士、博士学位，2016年1月至今任北京航空航天大学自动化科学与电气工程学院讲师。入选2016年中国科协青年人才托举工程计划，曾获国际仿真学会颁发的青年科学家奖，中国仿真学会优秀博士论文奖，三次获得北京航空航天大学优秀毕业生奖。目前研究方向包括可配置智能优化算法及其并行化，面向再制造的机器人拆卸建模与优化，多智能体系统动态模式发现与评估及自适应在线增量学习等。围绕上述方向研究，已出版英文学术专著2部，发表学术论文30余篇，第一或通讯作者发表SCI论文9篇（其中ESI高被引论文1篇）。主持国家重点研发计划子课题1项，国家自然科学基金青年基金1项，参与国家自然科学基金面上项目2项。Yuanjun Laili received the B.S., M.S. and Ph.D. degree in Automation Science and Electrical Engineering from Beihang University, Beijing, China, in 2009, 2012 and 2015, respectively, and was awarded at each phase the outstanding graduate which was the highest honor for a student of the university. She is currently an Assistant Professor of the School of Automation Science and Electrical Engineering of Beihang University.Her research interests include intelligent optimization theory and algorithms, modeling and simulation of complex system, robotic disassembly for remanufacturing and online incremental learning. She has managed 1 National Key Research and Development Program, 1 National Natural Science Foundation Project, and participated 2 National High-Tech Programs and 2 National Natural Science Foundation Project as a key researcher. Focusing on the multi-layer optimal-allocation of manufacturing resources, she established a comprehensive model to describe the macro-level service qualities and micro-level service dynamical behaviors in cloud environment. To implement high available, high accurate and high dependable optimal solver for dynamic objectives, she proposed the concept of configurable intelligent optimization algorithm and designed a number of upper-layer adaptive mechanisms for the under-layer parameter, operator and algorithm configurations. Furthermore, she has carried out research on the parallel optimization algorithm and presented a new reflex migration mechanism for the adaptation of parallel topology, which can generally improve the whole efficiency of optimal-decision by at least 2-5 times. She has also been very active with knowledge transfer to industry, applying the results of her work to help multi-disciplinary companies to implement intelligent pattern recognition and optimal decision. Based on these works, she has co-authored the books “Configurable Intelligent Optimization Algorithm – Design and Practice in Manufacturing”, \
研究领域
[1] 可配置智能优化算法及其并行化 [2] 面向再制造的机器人拆卸建模与优化 [3] 多智能体系统动态模式发现与评估 [4] 自适应在线增量学习现为国际仿真学会（SCS）会员，中国仿真学会智能物联专委会委员，系国际期刊International Journal of Modeling, Simulation, and Scientific Computing副主编。
