Talks
“When computational intelligence meets biology”, invited talk, Shantou University, UK, 2022
“AI and computational modelling for complex biosystems”, invited talk, Department of Physics, Aberdeen, Nov. 2022
“Dynamic multi-objective optimisation and its application to biotechnology”, Northeastern University, Oct. 2022
“What can AI do to biology and design of experiments?”, China Pharmaceutical University, Oct. 2022.
“Data-driven modelling and design of productive microbial systems for biomanufacturing”, invited talk, University of Nottingham, Pa-Ccnet, UK, Sep. 2022.
“Metabolic games in metabolic engineering design”, invited talk, Newcastle University, UK, Jan., 2020.
“A game-theoretic approach to strain design for metabolic engineering”, invited talk, University of Cambridge, UK, July 2019.
“Computational strain design: a network interdiction approach”, ICOS seminar, Newcastle University, UK, 2019.
“Less detectable environmental changes in dynamic multiobjective optimisatiom”, GECCO2018, Kyoto, Japan, 2018.
“An empirical study of dynamic triobjective optimisation problems”, CEC2018, Rio, Brazil, 2018.
“Evolutionary multiobjective optimisation in computational metabolic engineering’’, Bioprocess Engineering Group, University of Vigo, Spain, 2018. “Evolutionary computing in real-world applications”, ICOS seminar, Newcastle University, UK, 2017.
“Evolutionary computation: theory and application in synthetic biology”, EPSRC workshop, University of Birmingham, UK, 2017.
“Computational modelling for metabolic engineering” 4th International Synthetic & Systems Biology Summer School, University of Cambridge, UK.
“Convergence versus diversity in multiobjective optimization”, 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), Edinburgh, U.K., September 2016.
“Dynamic multiojective optimization: Algorithmic design and challenges”, Research Workshop on Computational Intelligence, De Montfort University, Leicester, U.K., May 2016.
“Approximating multiobjective optimization problems with complex Pareto fronts,” 15th UK Workshop on Computational Intelligence (UKCI), Exeter, U.K., September, 2015.
“A fast strength Pareto evolutionary algorithm incorporating predefined preference information,” 15th UK Workshop on Computational Intelligence (UKCI), Exeter, U.K., September, 2015.
“A framework of scalable dynamic test problems for dynamic multi-objective optimization,” 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), Orlando, USA, December, 2014.
“Benchmarking dynamic multiobjective test problems”, Doctor Training Programme, De Montfort University, Leicester, U.K., July 2014.