国内外顶尖教授亲临授课、医疗机器人领域前沿内容、优秀学员奖学金支持，日前，由上海交通大学医疗机器人研究院主办，磁共振诊疗高端技术国家工程研究中心协办，2023医疗机器人及智能影像暑期学校报名即将截止。

高通量手术机器人、磁共振诊断治疗、心脏外科手术、医学图像处理、微纳机器人......来自中、美、德、英等全球10余位医疗机器人、影像领域的国内外顶尖科学家，知名学者组成“授课团”，以“医疗机器人”与“智能影像”为主题，融合科学前沿开展全英文集中授课。

面向全球，暑期学校将从申请者中遴选25名生物医学工程、控制科学与工程、材料科学与工程、机械工程、计算机科学与技术及相关交叉学科的硕士生和博士生，并为2位优秀学员，提供奖学金支持。

本次暑期学校将于7月8日—7月15日在上海交通大学闵行校区举行。以国际化、融合交叉为特色，本次暑期学校将以讲座、研讨会、文化体验等方式，为优秀学生提供直接与医疗机器人及医疗影像领域顶尖学者面对面交流、与不同文化背景的青年学者共同切磋的平台。

报名即将截止！截止时间：北京时间2023年6月21日24:00；遴选结果预计6月25日以邮件方式通知。

授课专家

Medical Robotics

Professor Guang-Zhong Yang (CBE, FREng, FIEEE, FIET, FAIMBE, FIAMBE, FMICCAI, FCGI) is the founder and the chief scientist of the Institute of Medical Robotics at Shanghai Jiao Tong University. He was the founder and director of the Hamlyn Centre for Robotic Surgery, Imperial College London, UK. Professor Yang’s main research interests are in medical imaging, sensing and robotics. He is a Fellow of the Royal Academy of Engineering, fellow of IEEE, IET, AIMBE, IAMBE, MICCAI, CGI and a recipient of the Royal Society Research Merit Award and listed in The Times Eureka ‘Top 100’ in British Science. Professor Yang is the founding editor of Science Robotics (http://robotics.sciencemag.org/) – a journal of the Science family dedicated to the latest advances in robotics and how it enables or underpins new scientific discoveries. He was awarded a CBE in the Queen’s 2017 New Year Honour for his contribution to biomedical engineering.

Professor Hannes Bleuler obtained his PhD at ETH Zurich in 1984 on mechatronics, spent six years at the University of Tokyo and was professor of robotics at EPFL Lausanne from 1995 to 2019. Projects included high precision mechatronics, but were mainly centered on biomedical technology, surgical instrumentation and exoskeletons. The human-machine interface and, specifically, haptic interaction were among the topics of interest of about 30 PhDs supervised at his robotics lab of EPFL.

Professor Peer Fischer heads the Micro Nano and Molecular Systems Lab at the Max Planck Institute for Intelligent Systems, and he is a Professor of Physical Chemistry at the University of Stuttgart. Peer Fischer received a BSc. degree in Physics from Imperial College London and a Ph.D. from the University of Cambridge in 1999. He was a NATO (DAAD) Postdoctoral Fellow at Cornell University, before joining the Rowland Institute at Harvard. He held a Rowland Fellowship at Harvard and directed an interdisciplinary research lab for five years. In 2009 he received an Attract Award from the Fraunhofer Society, Germany. In 2011 he moved his labs to the Max Planck Institute for Intelligent Systems in Stuttgart, and since 2013 he is a Professor at the University of Stuttgart. Peer Fischer won an ERC Grant as a consolidator in 2011 and in 2016 he won a World Technology Award. He received an ERC Advanced Grant in 2018. He is a member of the Max Planck – EPFL Center for Molecular Nanoscience and Technology, and the research network on Learning Systems with ETH Zürich. Peer Fischer is an Editorial Board Member of the journal Science Robotics and a Fellow of the Royal Society of Chemistry. Professor Fischer has broad research interests including 3d nanofabrication & assembly, micro- and nano-robotics, active matter, interaction of optical, electric, magnetic, and acoustic fields with matter at small length scales, and molecular systems engineering.

Xiaozhou Wang is the Director of Pediatric Cardiac Surgery at Shanghai Chest Hospital, Shanghai Jiao Tong University Medical College, Executive Deputy Director of Shanghai Chest Hospital Medical Robotics Clinical Center, and Adjunct Associate Professor of Shanghai Jiao Tong University Medical Robotics Institute. He graduated from Tongji University School of Medicine in 1990 and was licensed to practice cardiothoracic surgery in Oregon, USA from 1997.7 to 1999.8. He has been practicing cardiac surgery for two years at Starr International Heart Center in the United States. He was the first to perform minimally invasive surgical closure of atrial septal defects and ventricular septal defects in infancy (non-extracorporeal circulation) in China.

Associate Professor Guangyu Qiu received his M. Sc. and Ph. D degree from the City University of Hong Kong in 2014 and 2017. He postdoc-ed at ETH Zurich from 2018 to 2022, and then joined Shanghai Jiao Tong University as Associate Professor in 2022. His main research interests cover cross-disciplinary fields including nanophotonics biosensing technologies, light-matter interactions, functional nanomaterials, biosensing robotics and their life science, environmental and biochemical applications. In recent years, he has been mainly engaged in theoretical exploration and technological development of thermoplasmonic-based biosensors, and has innovatively proposed a novel concept of dual-functional biosensor which combining thermoplasmonic heating and localized surface plasmon resonance. He has authored more than 40 SCI papers published in leading peer-reviewed journals such as in ACS Nano, Adv. Sci., Adv. Funct. Mater,

Sci. Adv., Biosens. Bioelectron., and Anal. Chem. His research works also led to five international

patents, and related research outcomes have been reported by China Global Television Network (CGTN), and Swiss Radio and Television (SRF).

Dr. Anzhu Gao received the bachelor’s and master’s degrees in mechatronics engineering from the State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China, in 2009, 2011, respectively, and the Ph.D. degree in mechatronics engineering from the Shenyang Institute of Automation, the State Key Laboratory of Robotics, Shenyang, Chinese Academy of Sciences, Shenyang, China, and also the University of Chinese Academy of Science, Beijing, China, in 2017. From 2014 to 2015, he was a Visiting Student with the Laboratory for Computational Sensing and Robotics, Johns Hopkins University, USA. He was an Engineer in a company in Shanghai from 2011 to 2013 and a Research Associate with the Hamlyn Center for Robotic Surgery, Department of Computing, Imperial College London, U.K., from 2017 to 2019.

He is currently Associate Professor with the Department of Automation, Shanghai Jiao Tong University, Shanghai, China. His research interests include medical robots, continuum robots, soft robots, medical sensors, etc.

Dandan Zhang is a Lecturer (Assistant Professor) with the Department of Engineering Mathematics, University of Bristol, affiliated with Bristol Robotics Lab. She has cross-disciplinary interests in robotics and AI. She received the Ph.D. degree from the Department of Computing, Imperial College London, in 2021. Over the past 2 years, she has also been an honorary researcher at the Department of Electrical and Electronic Engineering, Imperial College London. She is the Deputy Programme Director for MSc Biorobotics at the University of Bristol. She leads a research team of over 12 students and researchers with main focus on 'intelligent robotics across scales'. She has been working on robot learning (imitation learning and reinforcement learning), human-robot interaction, micro-robotics, AI for science, tactile robotics, Internet of Things, with applications in medical robotics, assistive robotics, and domestic robotics. She aims to enhance the level of autonomy for multi-scale robotics systems. She envisions that intelligent robots will reshape our world by providing tangible benefits in our daily life and contributing to the healthcare system.   

She has been awarded the Amazon PhD prizes for outstanding achievement in robotics, UK best PhD award in Robotics, ICRA Best Paper Award in Human-robot interaction. In the past 5 years, she has more than 30 papers published in top journals or world-renowned international conferences. She has been invited to speak at over 10 international conferences, workshops, or research institutes.

Intelligent Imaging

Professor Guoyan Zheng received his B.S. and M.S. degrees in Biomedical Engineering in 1992 and 1995, respectively from The First Military Medical University (Now renamed as Southern Medical University), and Ph.D. degree in Biomedical Engineering in 2002 from The University of Bern, Switzerland. Since 2019, he has been at the Shanghai Jiao Tong University where he is currently a professor at the School of Biomedical Engineering, and the Director and the founder of the Center for Image-guided Therapy and Interventions (CITI), Institute of Medical Robotics. Before he joined the Shanghai Jiao Tong University, he worked at the University of Bern for almost 20 years, first as a PhD student, then as a post-doc until 2004. In 2005, He founded the Lab Of Information Processing in Medical Interventions (IPMI) and directed the Lab until the end of 2018. In 2010, he did his habilitation on medical image computing and received the venia decendi from the University of Bern. He also holds the title of Privatdozent (PD) at the same university. He became an Associate Professor of the University of Bern in 2015. He was a visiting professor in the Image-based Computational Biomedicine Lab at the Nara Institute of Science and Technology from May 2018 to June 2018.

Professor Xiaojun Chen is full professor, with Institute of Biomedical Manufacturing, School of Mechanical Engineering, SJTU. As a visiting professor, he had worked at the Surgical Planning Laboratory, Harvard Medical School, TIMC-IMAG lab(CNRS, France), KU Leuven(Belgium), etc. His research focuses on biomedical engineering, including medical image analysis, image-guided interventions, artificial intelligence in biomedical physics and analysis, VR/AR/MR technology in medicine, medical robotics, biomedical manufacturing, etc. He is the author and co-author of more than 200 peer-reviewed journal/conference articles in MedIA, IEEE TMI etc., the owner of more than 20 patents, the PI of more than 30 research projects, including seven funded by National Natural Science Foundation of China. He was granted Second Prize of National Science & Technology Progress Award of China (2019). He is an associate editor or editorial board member of the 12 SCI-indexed journals, including an associate editor of Computerized Medical Imaging and Graphics, Physical and Engineering Sciences in Medicine, Computer Assisted Surgery and IEEE Transactions on Medical Robotics and Bionics, Deputy editor of Medical Engineering & Physics, an executive editorial board member of Physics in Medicine & Biology, and editorial board member of IJCARS, IJMRCAS etc.

Associate Professor Jianjiang Feng, he is an associate professor of the Department of Automation at Tsinghua University and a Ph. His research interests are image processing and pattern recognition. He is an editorial board member of the international academic journal Image and Vision Computing, the field chair of International Conference on Biometrics (2014-2016), and the program committee chair of China Biometrics Conference (2015-2018). . He has published more than 80 papers in international academic journals and conferences, including 10 long papers in T-PAMI, the top journal in the field of pattern recognition. Received more than 10 Chinese invention patents and 4 US invention patents, and fingerprint technology licensed to domestic and international leaders. He has received 3 best paper awards/best student paper awards in international conferences, 1 first prize of scientific and technological progress from the Chinese Institute of Electronics, 2 second prizes of natural science from the Ministry of Education, and excellent young fund from the National Natural Science Foundation of China.

Associate Professor  Yun Gu received the Ph.D. degree from the Department of Biomedical Engineering, Shanghai Jiao Tong University. He is currently a Associate Professor with the Institute of Medical Robotics and Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China. He has published in major conferences and journals including MedIA/IEEE TMI/TIP/TNNLS/TBME/JBHI and MICCAI/ICRA/IROS. His major research interests are computer-assisted surgical planning and medical image analysis.

Dr. Yuan Feng is an associate professor of biomedical engineering.  Dr. Yuan Feng earned a B.S. degree in Thermo Energy and Power Engineering in 2006 and an M.S. degree in Mechatronics in 2008, both from Harbin Institute of Technology in China. In 2008, he earned a Ph.D. degree in Mechanical Engineering from Washington University in St. Louis with Drs. Philip Bayly and Guy Genin. His postdoctoral training was at Washington University School of Medicine with Dr. Yanle Hu in 2013, and at the University of Texas at Austin with Dr. Michael Sacks in 2014. He was a faculty member at Soochow University from late 2014 to 2017. Since early 2018 he moved to Shanghai Jiao Tong University and joined the School of Biomedical Engineering. His research interests are brain biomechanics, MR elastography, and interventional MRI. He has authored or coauthored 37 referred papers, 1 book, 11 Chinese patents, and 4 US patents.

申请人条件：

（1）名额：25名
（2）全球范围内，生物医学工程、控制科学与工程、材料科学与工程、机械工程、计算机科学与技术及相关交叉学科的在读硕士研究生、博士研究生、博后，特别优秀的本科生可以破格录取。

费用说明：

暑期学校免收学费，提供参加学校活动的餐食，并协助预定住宿，住宿费和交通费用自理。

申请流程

（1）发送个人简历（邮件主题：【暑期学校】+姓名）至imr@sjtu.edu.cn；

（2）本次报名和简历收取截止时间为北京时间2023年6月21日24：00。研究院将根据报名学生的个人情况进行筛选，于北京时间2023年6月25日24：00前邮件通知学生录取结果。

网页信息

https://imr.sjtu.edu.cn/sqxx2023.html

登录网站或扫描二维码查看实时更新的讲师信息及详细日程安排

联系方式

联系人：吴老师
邮箱：imr@sjtu.edu.cn

电话：34204311

地址：上海市闵行区东川路800号转化医学大楼二楼医疗机器人研究院S222