Yuanjun Laili

讲师(高校) Supervisor of Master's Candidates:

Gender:Female

Date of Birth:1987-08-21

Alma Mater:北京航空航天大学

School/Department:自动化科学与电气工程学院

Discipline:Control Science and Engineering

Business Address:新主楼E306

Contact Information:18511071127

E-Mail:

Honors and Titles:

2016   Young Talent Lift Project

2017   Young Simulation Scientist Award


Education Background:

2012.9 -- 2015.7

北京航空航天大学       Control Science and Engineering       博士研究生毕业       Doctor's Degree

2009.9 -- 2012.7

北京航空航天大学       Control Science and Engineering       硕士研究生毕业       硕士学位

2005.9 -- 2009.7

北京航空航天大学       Control Science and Engineering       大学本科毕业       学士学位

Research Focus

Configurable evolutionary algorithm and its parallelization

Robotic disassembly for remanufacturing

Pattern-based multi-agent system validation

self-adaptive online incremental learning

Work Experience

2017.7 -- 2018.7

伯明翰大学      访问学者

2016.1 -- Now

北京航空航天大学      讲师      在职

Research Group

北航云制造技术研究中心


北航智能制造与仿真技术实验室


复杂产品先进制造系统教育部工程研究中心


Profile:

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”, "Model Engineering in Simulation", published more than 30 papers in international peer-reviewed journals or conferences (with over 710 citations). One of her publications was elected by Thomson Reuters to “Essential Science Indicators” (ESI) with 171 citations.

She has been won the “Young Talent Lift Project” (2016) supported by China Association for Science and Technology and the “Young Simulation Scientist Award” from the Society for Modeling and Simulation International (SCS). This project is highly competitive and support less than 200 young researchers out of more than 4000 applicants every year. Besides, she has been awarded various honors including “Young Simulation Scientist Award” (2017), “Excellent doctorate theses of Chinese Association for System Simulation” (2015), “Outstanding graduate of Beihang University” (2015), “National Scholarship for PhD students” (2014), “Doctoral Student Innovation Fund of Beihang University” (2014) and “Best paper award of Chinese Association for System Simulation” (2016), “Outstanding graduate dissertation of Beihang University” (2012), “Outstanding undergraduate dissertation of Beihang University” (2009).

She is a Member of SCS and a commitee member of the Commitee of Intelligent Networked Things (CINT) in China Simulation Federation (CSF). During the last five years, she organized many academic exchange activities as an very active member of the SCS student branch and serves as one of the young representatives of MISS (McLeod Institute of Simulation Science) Beihang Center. She has also served as a workshop chair of “UV2018”,“AsiaSim/SCS AutumnSim 2016” and committee member of “Chinese Simulation Conference 2018”, “Chinese Simulation Conference 2017”, “AsiaSim 2015”, “CINT2015” and “CINT2013”. Now she serves as an editor of “International Journal of Modeling, Simulation, and Scientific Computing”and reviewer of“SIMULATION: Transactions of The Society for Modeling and Simulation International”, “Computers in Industry”, “IEEE Transactions on Systems, Man and Cybernetics”, “European Journal of Operational Research”, and so on.