报告时间：2024年7月17日 星期三 上午10:30

报告地点：3号楼2楼报告厅

报告题目：进化算法的预测性与可解释性-在蓝藻水华的应用

　　　　 Explanatory and predictive modelling of cyanobacterial bloom by evolutionary algorithms

报告专家：Friedrich Recknagel  教授  澳大利亚阿德莱德大学

专家介绍：

    Friedrich Recknagel got his PhD and Habilitation from the Dresden University of Technology in Germany. In 1992 he received a Humboldt Stipend for postdoctoral research at the National Institute of Environmental Studies in Tsukuba, Japan. Since 1993 he is Professor in Ecosystem Modelling and Freshwater Ecology at the University of Adelaide, Australia. He has also affiliations with the Federal University of the State of Rio de Janeiro, Brazil, and the North‐West University, South Africa. He is Founding Editor-in-Chief of the journal Ecological Informatics, and Editorial Board member of the journals Environmental Modelling and Software and Ecological Modelling. His research is focusing on management and modelling of eutrophication processes in lakes and catchments. In the 1980s he developed the process-based lake ecosystem model SALMO that has been applied to lakes worldwide and been awarded with the Research Price of the Dresden University of Technology. He pioneered ecological applications of neural networks and evolutionary algorithms, and established the discipline Ecological Informatics. His current research focuses on short- and real-time forecasting by models with both interpretability and predictivity. He has been invited as Keynote Speaker to 19 International Conferences, chaired 10 International Conferences on Ecological Informatics, published 5 books and more than 150 peer-reviewed papers.

弗里德里希·雷克纳格尔在德国德累斯顿工业大学获得了博士学位和特许任教资格。1992年，他获得了洪堡奖学金，在日本筑波的国立环境研究所进行博士后研究。自1993年起，他担任澳大利亚阿德莱德大学的生态系统建模与淡水生态学教授。他还与巴西里约热内卢州联邦大学和南非西北大学有合作关系。他是《生态信息学》杂志的创始主编，并是《环境建模与软件》和《生态建模》杂志的编辑委员会成员。他的研究重点是湖泊和集水区富营养化过程的管理和建模。上世纪80年代，他开发了基于过程的湖泊生态系统模型SALMO，并荣获德累斯顿工业大学研究奖，该模型已被应用于全球各地的湖泊。他率先将神经网络和进化算法应用于生态学，并建立了生态信息学学科。他目前的研究重点是通过具有解释性和预测性的模型进行短期和实时预测。他曾受邀担任了19次国际会议主题发言人，主持过10次“生态信息学”国际会议，出版过5本书和150多篇同行评议论文。