Prof. Jiyou Jia

Peking University, China

Bio: Dr. Jiyou Jia is a full professorand theHead of the Department of Educational Technology, Graduate School of Education, Peking University, China and is also the founding director of International Research Center for Education and Information at Peking University. He was invited to work as a guest professor in 2015 by School of Education, Technical University of Munich, Germany, and Distinguished Professor at Institute for Research in Open and Innovative Education, the Open University of Hong Kongfrom August 2017 to December 2018.

Dr. Jia received B. S. and Master of Education from Peking University, and Ph.D. in artificial intelligence from Augsburg University, Germany. His research interests include educational technology and artificial intelligence in education, especially in TELL (Technology Enhanced Language Learning), math education with ICT, and decision making support system. He has been responsible for a dozen of national projects and international cooperation projects. His research has won a number of national and international prizes including Outstanding Paper Award from Emerald Publishing 2023, the First Class Award of the Fifth National Award for Outstanding Achievements in Educational Research, from Ministry of Education, China, 2016.

Speech Title: 人工智能赋能教育

Abstract: 报告将简要介绍人工智能技术近年取得的最新进展,包括知识工程、数据挖掘、模式识别、自然语言处理、智能机器、专家系统、自动程序设计、艺术创作等方面，以及这些进展在教育领域的应用，包括教、学、评、管等各个环节，为教育创新提供技术支撑。

Prof. Hongbin Ma

IEEE Senior Member

School of Automation, Beijing Institute of Technology, China

Bio: Dr Hongbin Ma has been a Professor at the School of Automation, Beijing Institute of Technology since he joined Beijing Institute of Technology in 2009. He received his bachelor degree from Zhengzhou University in 2001 and doctoral degree from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2006. He joined Bell Labs Research Center at Beijing in March of 2006 and later joined Temasek Laboratories, National University of Singapore in August 2006 as a Research Scientist. His research focuses on adaptation, learning and recognition, especially adaptive estimation and control, as well as their applications in robots, smart cars, and UAVs. He is also a senior member of IEEE and Automation Society of China. Dr. Ma is the principle investigator of several scientific projects supported by National Natural Science Foundation (NSFC), the programme of New Century Excellent Talents in University by Ministry of Education, the programme of Beijing Outstanding Talents Project, and so on. He also won several awards, such as Beijing Natural Science Award, Wu Wenjun Artificial Intelligence Award, Outstanding Research Work Award, etc. Dr. Ma has published more than 100 academic papers in reputable journals or conferences. And under his supervision, a dozen of students have performed well in scientific research, innovation contests, and are establishing themselves.

Speech Title: Intelligent Grinding Robot with Adaptive Machine Vision

Abstract: Grinding of casting products is important in industry. There are challenges in developing an intelligent grinding robot which is capable of coping with different casting products since it is impossible to operate the products with the same robot program. To cope with the challenges, adaptive machine vision fusing 2D and 3D technologies will be employed and various algorithms are designed in the whole process of automatic grinding with least assistance of human worker. And one intelligent grinding robot was designed towards automation of grinding casting products.

Prof. Xiaoxu Wang

Northwestern Polytechnical University, China

Bio: 王小旭，教授/博士生导师，西北工业大学自动化学院副院长，陕西省杰青人才、智能惯性传感与系统陕西省高校工程研究中心主任，国家“111 引智基地”、教育部专业学位研究生校企协同育人基地、陕西省高等学校学科创新引智基地等国家/省部级平台负责人；中国仪器仪表学会理事、中国惯性技术学会理事等。担任教育部研究生核心课程指南制定《导航与制导系统》课程负责人、全国高校自动化方向培养方案构建组（中国自动化学会教育工作委员会）学术型博士组组长。研究方向为惯性传感与系统，先进测试与检测技术等，获中国发明协会创新成果一等奖、中国航空学会技术发明二等奖、教育部技术发明二等奖、陕西省高等学校科学技术一等奖等省部级科技奖励7项。

Speech Title: 光学式加速度计关键技术及应用

Prof. Li Xiao

University of Science and Technology of China, China

Bio: 肖力，中国科学技术大学电子工程与信息科学系特任研究员、博士生导师，国家海外优青人才。2009年获得武汉大学数学基地班学士学位，2012年获得南开大学数学科学学院硕士学位，2017年获得美国特拉华大学电气与计算机工程系博士学位，2017年至2021年在美国杜兰大学生物医学工程系做博士后和研究助理教授。2021年以中科院人才计划B类人才加入中国科学技术大学类脑智能技术及应用国家工程实验室。研究方向包括信号处理、人工智能及其在脑影像数据分析上的应用，以第一作者在IEEE TSP、IEEE TMI、IEEE TBME等SCI期刊上发表多篇研究论文。

Speech Title: 脑影像表征学习及其在脑疾病诊断中的应用