人工智能研究所-科研进本科课堂

发布者:数理学院管理员 发布时间:2021-11-08 浏览次数:814


2021116-7日,人工智能研究所举行孟振宇老师所教授的《智能算法分析与设计》本科课程答辩。智能算法分析与设计课程由孟振宇老师开设并教授,该课程内容主要围绕计算智能领域中的经典算法。通过对这些经典算法的起源及其发展过程中重要研究进展的讲授,同学们可以深入了解这些算法的理论模型及运行机制,进而落脚到算法设计上来。该课程的授课对象为计算机与数学学院软件工程专业学生和土木学院智慧实验班学生,选修该课程的每位同学需要提交一份科技报告(英文版+中文版)并进行课程答辩。


图一、116日分组答辩

图二、117日分组答辩

Course Scope: This course provides an international class for facilitating and enhancing the exchange of information among researchers involved in both the theoretical and practical aspects of computational systems drawing their inspiration from nature, with particular emphasis on evolutionary models of computation or swarm intelligence such as Genetic Algorithms, Particle Swarm Optimization, Ant System, Differential Evolution, and Artificial Neural Network etc. It welcomes students from related fields such as computer science, software engineering, power engineering, civil engineering, water resource, and so on. As well as learning to propose novel ideas describing theoretical and/or experimental work, the class also welcomes students with application-focused ideas describing breakthrough results in an application domain or methodological proposals where the specificities of the real-world problem led to significant algorithmic improvements that could possibly be generalized to other areas.

教师简介:孟振宇,哈尔滨工业大学计算机应用技术博士,计算机科学与数学学院教授,校学术委员会委员,人工智能研究所负责人,福建省引进高层次人才,教育部学位中心论文评审专家,深圳市科技项目评选专家库入库成员,厦门市科技人才评审专家,福州市科技成果转化专家库入库成员,中科院南沙所工作两年。近5年主持国家自然科学基金、福建省自然科学基金、深圳市创新基金、电子科大(国自然)外协项目及校科研启动基金项目5项;参与国家发改委重大示范专项、国家863项目子项目、深圳市高层次人才项目8项。发表第一作者JCR一区SCI论文12篇,通讯作者JCR一区SCI论文11篇(含第一作者论文);获得第一发明人专利授权4项(发明专利3+实用新型1项);国际发明奖银奖2项(日内瓦国际发明奖和纽伦堡国际发明奖)。多个JCR一区期刊审稿人(如IEEE-TEVC, Information Sciences, Knowledge-Based Systems, Swarm and Evolutionary Computation, Applied Soft Computing, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, IEEE-TCYB, IEEE Access,及我国SCI期刊电子学报等)。所发表的PaDE论文自201911月以来为ESI高被引论文,所发表的HARD-DE论文被中科院一区期刊Swarm and Evolutionary Computation 副主编,波兰科学院研究员Prof. Adam Piotrowski来信告知该,推荐为解决空气水模型最佳算法,相关论文发表在中科院一区期刊Journal of Hydrology中,论文参见:https://www.sciencedirect.com/science/article/abs/pii/S0022169421002663

 

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