Speaker 1

Short Bio

Akira Oyama is associate professor at Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency and School of Engineering, the University of Tokyo, Japan. He is also a member of Science Council of Japan. He holds a doctoral degree in aerospace engineering from Tohoku University, Japan. His research interests include aerodynamics, multiobjective design optimization methods, high-performance computing, and space engineering. He had been the leader of “design innovation with multiobjective design exploration” of strategic programs for innovative research (SPIRE) from 2011 to 2015 and the leader of “research and development of multiple-objective design exploration and high-performance computing technologies for design innovation” of priority issue on post-K computer from 2016 to 2020. In these national projects, his team applied multiobjective evolutionary algorithms to many real-world design optimization problems using the supercomputer K. He has published 60 refereed journal articles and about 200 conference papers. He has received many awards that include Fluids Engineering Frontier Certificate of Merit, Computational Mechanics Achievement Award, and JSME design and system division Achievement Award.

Speaker 2

Short Bio

Tapabrata Ray is a Professor with the School of Engineering and Information Technology at the University of New South Wales (UNSW), Canberra. He obtained his B.Tech (Hons.), M.Tech and PhD from Indian Institute of Technology, Kharagpur, India. Between 1996 and 2004, he held a number of research positions in Singapore. In 2005, he joined UNSW Canberra and established the Multidisciplinary Design Optimization Group (www.mdlolab.net). He currently leads the group. In 2012, he was awarded the Future Fellowship by the Australian Research Council and between 2017-2019, he served as a Member of College of Experts of the Australian Research Council. His research focusses on development of optimization methods to deal with computationally expensive optimization problems.

Speaker 3

Short Bio

Professor Lixin Tang is the vice president of Northeastern University, China, an Academician of Chinese Academy of Engineering, the Director of Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, China; and the Head of Centre for Artificial Intelligence and Data Science. He is also a member of the discipline review group of the State Council for Control Science & Engineering, member of review group of National Natural Science Foundation, director of Data Analytics and Optimization Society for Smart Industry.

His research interests cover systematic optimization and artificial intelligence theories and methods, covering industrial big data, data analytics and machine learning, deep learning and evolutionary learning, reinforcement learning and dynamic optimization, convex and sparse optimization, integral and combinational optimization, computational intelligent optimization; engineering optimization technologies to plant-wide production and logistics planning, production and logistics batching and scheduling, operation optimization and optimal control in production process; data analytics technologies including knowledge discovery technologies such as quality prediction, working condition diagnosis; and perception understanding technologies such as image and speech understanding and visualization; and engineering applications in manufacturing, logistics and energy systems. His paper published on IISE Transactions received the Best Applications Paper Award of 2017.

He is invited to act as Cluster Chair in INFORMS International 2018, and Track Chair in 9th IFAC Conference on Manufacturing Modelling, Management and Control. He currently serves as an Associate Editor of IISE Transactions, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Journal of Scheduling, International Journal of Production Research, Journal of the Operational Research Society, in Editorial Board of Annals of Operations Research, and an Area Editor of the Asia-Pacific Journal of Operational Research.

Speaker 4

Short Bio

Professor Mark Harman is a full-time Research Scientist at FACEBOOK London, working on FACEBOOK’s Web Enabled Simulation system WW, together with a London-based FACEBOOK team focussing in AI for scalable software engineering. He also holds a part-time professorship at UCL. Previously, Mark was the manager of the FACEBOOK team that deployed Sapienz to test mobile apps, which grew out of Majicke, a start up co-founded by Mark and acquired by FACEBOOK in 2017. In his more purely scientific work, Mark co-founded the field Search Based Software Engineering (SBSE), and is also known for scientific research on source code analysis, software testing, app store analysis and empirical software engineering. He received the IEEE Harlan Mills Award and the ACM Outstanding Research Award in 2019 for this work. In addition to FACEBOOK itself, Mark’s scientific work is also supported by the European Research Council (ERC), with an advanced fellowship grant, and has also been regularly and generously supported by the UK Engineering and Physical Sciences Research Council (EPSRC), with regular grants, a platform and a programme grant.