Assoc. Prof. Yuanshan Lin

School of Information Engineering, Dalian Ocean University, China

Title： Applications of Deep Learning in Aquaculture

Abstract: China is the largest country in aquaculture all over the world. The production of China's aquaculture has changed from extensive model to intensive model, and the production level has been continuously improved. However, low production efficiency and resource utilization have severely limited the rapid development of China's aquaculture industry. On the other hand, as a breakthrough in artificial intelligence (AI), deep learning(DL) is demonstrating outstanding performance in many fields, such as computer vision, speech recognition, natural language processing, and robotics. We think that deep learning is a promising method to realize smart aquaculture, which will be able to improve production efficiency and resource utilization. This presentation will introduce some DL-based approaches for smart aquaculture, including object detection for live seafood in real world, biomass estimation, fish behavior quantification, collective motion for fish school, and so on.

题目：深度学习技术助力水产养殖

摘要：中国作为水产养殖的第一大国，其养殖模式已由粗放型向集约型转变,生产水平不断提高。但较低的生产效率、资源利用率等问题依然严重制约中国水产养殖业的快速发展。另一方面，作为人工智能的一个突破性技术，深度学习在计算机视觉、语音、自然语言处理、机器人等许多领域均展现出优异的性能，使自动化、智能化水产养殖成为可能，实现精准养殖，提高生产效率和资源利用率。本报告将主要汇报深度学习在实现精准水产养殖的一些尝试，主要包括海珍品识别、养殖生物量估计、鱼类行为量化、鱼类集群行为建模等内容。

Biography

Lin Yuanshan, Ph.D., associate professor, graduated from the School of Computer Science and Technology, Dalian University of Technology. "Thousand" level of Liaoning Province's Hundred Thousand Talents Project, Dalian Youth Science and Technology Star, Dalian Young Talent, and a member of Dalian Industrial Informatization Expert Advisory Committee. His research interests are machine learning and robot motion planning. In recent years, taking mobile robots and underwater robots as examples, he has carried out research on path planning, 3D simulation and machine learning, and presided over 1 project of the National Natural Science Foundation of China, 1 project of the China Postdoctoral Science Foundation, and 2 projects of the Provincial Natural Science Foundation of China. Projects, 2 projects of the Provincial Department of Education, 1 project of Dalian Youth Science and Technology Star; participated in 1 municipal scientific research project, and 2 horizontal projects; During the doctoral period, he led the team to carry out 6 enterprise cooperation projects as a technical leader. In recent years, he has published nearly 20 papers as the first author or corresponding author, of which 6 papers were retrieved by SCI and 10 papers were retrieved by EI; 2 papers were awarded the provincial first prize, 6 software copyrights were applied, and 3 invention patents were authorized.

林远山，博士，副教授，博士毕业于大连理工大学计算机科学与技术学院。辽宁省百千万人才工程“千”层次，大连市青年科技之星，大连市青年才俊，大连市工业信息化专家咨询委员会委员。本人的研究方向为机器学习、机器人运动规划。近年来，以移动机器人、水下机器人为例，开展了路径规划、三维仿真方面及机器学习的研究，主持国家自然科学基金项目1项，中国博士后科学基金项目1项，省自然科学基金项目2项，省教育厅项目2项，大连市青年科技之星项目1项；参与市级科研项目1项，横向项目2项；博士期间作为技术负责人带领团队开展企业合作项目6项。近年来以第一作者或通讯作者发表论文近20篇，其中SCI检索6篇，EI检索10篇；获省级一等奖论文2篇，申请软件著作权6项、授权发明专利3项。