PROGRAM OVERVIEW

This program will equip students with solid theoretical and systematic professional knowledge in molecular medicine, biomedical engineering, and related fields. Graduates of this program will have the opportunity to undertake independent scientific research, allowing them to understand the current status and future trends of medicine/biomedical engineering, and write and communicate in English.

MAIN RESEARCH FIELDS:

1. Biomedical information

Apply biomedical engineering techniques and methods to collect, analyze and evaluate health-related biomedical information, establish disease risk prediction and early warning models, explore the underlying reasons of disease pathogenesis, and conduct intervention studies.

2. Cell and tissue engineering

Conduct research on various types of stem cell and bioscaffold materials, and learn how to apply tissue engineering and regeneration technologies to acute and chronic injuries and diseases; conduct research using cell engineering and nanomaterial labeling technologies based on modern gene technology; perform in vivo and in vitro cell tracing and monitoring; and develop new sources of stem cells for research and industrialization amplification technologies, including the development of 3D culture and amplification and bioreactor systems.

3. Systematic Biomedical:

Harness biophysical, biochemical, bioinformatic and systems biology approaches to study human aging and major diseases such as cancer, cardiovascular and cerebrovascular diseases, metabolic diseases, and infectious diseases; use cells, tissues, organs to conduct translational medicine research into human disease mechanisms at multiple levels, and develop personalized and precise diagnostic and treatment approaches.

CORE COURSES

Frontiers in Biomedical Engineering, Biomedical Image Analysis, Lecture on Pattern Recognition Front, Advanced Cell Biology and Disease, Biochemistry and Molecular Biology.

CAREER PROSPECTS

There is a wide spectrum of career paths that can follow from obtaining a PhD in Biomedical Engineering, including but not limited to:

Biomedical Scientist/ResearcherBiomedical scientists and researchers, in both clinical and/or research environments, conduct research that aims to improve human health by carrying out scientific tests to find solutions to medical/clinical problems. They research information that aids in the development of biomedical technology and test products so that they are safe and effective for consumers.

Biomaterials DeveloperBiomedical engineers may develop biomaterials based on either natural living tissue or artificial materials, for use in the human body. Tissue engineering, biomedical implant development, drug delivery and nano implants are all areas that a biomaterials developer may work in. Biomaterials can be used to either repair or replace lost function to the body, or to detect and image disease.

Biomedical Artificial Intelligent (AI) Researcher or Developer AI technology is rewiring many parts of society. How medical/clinical procedures and philosophies will be affected by AI is a thrilling frontier for exploration. A career in this field will involve you not only in science and technology, but also in areas of ethics, finance, and regulation.

Rehabilitation EngineerBiomedical engineers who work in a field dedicated to rehabilitation often work on diverse projects. These can range from mechanical equipment that helps patients regain the ability to walk, to virtual reality systems that aid in limb mobility. Rehabilitation engineers may also create custom solutions based on unique needs or research improvements that can form the basis of a novel rehabilitation technology.

Medical Device/Technology Developer

Medical technology can refer to the hardware and software that help manufacture medical devices, as well as to the technology that is an integral part of those devices. Medical technology professionals with biomedical engineering backgrounds may specialize in bioinstrumentation, or the use of bioelectronic/biomechanical/biochemical instruments to record or transmit physiological information in vivo and/or in vitro.

Consultation

Email:   molmed.hsc@szu.edu.cn                

英文名

Chunqi Chang

联系邮箱

cqchang@szu.edu.cn

中文简介

特聘教授，博士生导师。2002-2012年历任香港大学博士后、副研究员、助理教授、访问教授，2012年-2015年任苏州大学特聘教授，2015年入职深圳大学。目前任广东省认知学会常务理事，深圳大学神经系统疾病临床医学研究中心副主任。主要使用多模态神经信息采集、神经调控、类脑模拟、机器学习等手段在细胞、动物、人类多个角度进行微观、介观、宏观方面的脑科学基础及临床应用研究.在国际知名学术期刊及国际会议发表论文100余篇，SCI收录80余篇。

英文简介

Dr Chunqi Chang, PhD supervisor. He received the B.Eng. and M.Eng. degrees in electronic engineering from the University of Science and Technology of China, Hefei, China, in 1992 and 1995, respectively, and the Ph.D. degree in biomedical engineering from the University of Hong Kong, Hong Kong, in 2001. From 2002 to 2012, he was with the University of Hong Kong where he was a Post-Doctoral Fellow, a Research Associate, a Research Assistant Professor with the Department of Electrical and Electronic Engineering, and a Visiting Professor with the State Key Lab of Brain & Cognitive Sciences. From 2012 to 2015, he was a Professor in the School of Electronics and Information Engineering, Soochow University, Suzhou, China. Since 2015 he has been a Professor in School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China. His current interest is on basic brain science research on neuron networks (and brain organisms), animal models and human brains at micro-meso-macro scales using multi-modal neural information measurements, neural regulation, brain simulation, and machine learning techniques, with clinical applications. He has published more than 100 research papers (80+ SCI cited).

英文名

Gan Huang

联系邮箱

huanggan@szu.edu.cn

中文简介

黄淦，博士毕业于上海交通大学，比利时法语鲁汶大学博士后。他的致力于发展运动、感受相关的鲁棒神经信号解码方法和精准神经调控技术，同时积极将研究成果应用于脑机接口，神经调控以及神经假肢等方面。个人主页https://huanggan.site

l 在国内外高水平杂志 Neuroimage, Neural Network杂志发表论文40余篇，谷歌学术H指数为22；

l 担任IEEE TNNLS, TNSRE, TBME, JNE, NeuroImage等多个期刊审稿人；

l 承担国家自然科学基金2项，省市科研项目多项；

l 2021年获教育部自然科学一等奖；

l 写脑电信号处理软件 Letswave7 (https://letswave.cn)。

英文简介

Huang Gan, Ph.D., graduated from Shanghai Jiao Tong University and completed his postdoctoral fellowship at the University of Louvain in Belgium. Currently, he is an associate professor, distinguished researcher, in School of Biomedical Engineering, Health Science Center, Shenzhen University. Dr. Huang’s research primarily revolves around the development of robust neural signal decoding methods in the domains of motor and sensory functions, as well as precise neural modulation technologies. His areas of interest extend to the practical applications of scientific research, encompassing brain-computer interfaces, neural modulation, neural prosthetics, and related fields. More information could be seen in the website (https://huanggan.site)

Dr. Huang have published over 40 papers in high-impact journals both domestically and internationally, including Neuroimage and Neural Network, with an H-index of 22 on Google Scholar, and serve as a reviewer for various journals such as TNNLS, TNSRE, TBME,  JNE, and NeuroImage.

Additionally, Dr. Huang have been involved in multiple national and provincial research projects, having secured funding for two projects from the National Natural Science Foundation of China and various regional research programs. In 2021, he received the first prize in the Natural Science category from the Ministry of Education. Furthermore, he has authored the brainwave signal processing software, Letswave7 (https://letswave.cn).

英文名

Guanghui Yue

联系邮箱

yueguanghui@szu.edu.cn

中文简介

副教授，留学博士生导师。目前任广东省医学会人工智能分会委员。主要研究方向为3D图像/视频处理、图像/视频质量评价、医学图像分析、计算机视觉、机器学习及其应用等。截至目前，在领域内权威杂志/会议发表学术论文70多篇（含20多篇IEEE/ACM 汇刊文章）、授权国家发明专利16项。岳博士的谷歌学术引用1400次以上，H指数为23。他担任二十余个国际顶级/知名期刊的学术审稿人，例如IEEE TMI/TIP/TMM/TCSVT/TII/TIE/TIM/TETCI/TNNLS/TCYB/SPL, Elsevier SP/DSP/NEUCOM/SPIC/JVCI, IET IP/EL。

英文简介

Dr Guanghui Yue, Associate Professor. He researches broadly in the areas of 3D image/video processing, image/video quality assessment and enhancement, medical image analysis, computer vision, machine learning and its applications, etc. He has published 70+ papers in prestigious journals and conferences including 20+ papers in IEEE/ACM Transactions, and authorized 16 Chinese Invention Patents. His Google Scholar h-index is 23, and Google Scholar Citation is 1400+. Dr. Yue serves as an academic member of the artificial intelligence branch of Guangdong Medical Association. He also serves as the reviewer of many top-tier journals, such as IEEE TMI/TIP/TMM / TCSVT/TII/TIE/TIM/TETCI/TNNLS/TCYB/SPL, Elsevier SP/DSP/ NEUCOM/SPIC/JVCI, IET IP/EL.

英文名

Yu-Chao Jiang

联系邮箱

yuchaojiang@szu.edu.cn

中文简介

蒋宇超，从事人工智能和大数据、神经信息学、脑影像学与精神医学的理工医交叉研究，致力于神经影像技术和医学转化研究，基于海量生物医学数据的大数据挖掘、统计和机器学习工具，开发基于时空概念的新型脑疾病建模方法，能够在“时间”和“空间”两个层面解析脑疾病的空间起源和时间进展轨迹，应用于多种脑疾病建模。以第一作者/通讯作者发表SCI论文20余篇，包括Nature Mental Health，Nature Communications，Science Advances等。

英文简介

Dr. Jiang Yuchao is engaged in interdisciplinary research spanning artificial intelligence, big data, neuroinformatics, neuroimaging, and psychiatry. His work focuses on advancing neuroimaging technologies and translational medicine through the development of innovative modeling approaches for brain disorders, based on spatiotemporal concepts. Leveraging large-scale biomedical data, he applies big data mining, statistical techniques, and machine learning tools to analyze the spatial origins and temporal progression trajectories of brain disorders. These methods have been applied to the modeling of various brain diseases. Dr. Jiang has authored or co-authored over 20 SCI papers as the first or corresponding author, including publications in Nature Mental Health, Nature Communications, and Science Advances.

英文名

Dong Ni

联系邮箱

nidong@szu.edu.cn

中文简介

倪东教授是深圳大学生物医学工程学院教授，2010年创办医学超声图像计算（MUSIC）实验室。发表论文200余篇，H指数49，引用次数超过1万次。曾任MICCAI 2019分会主席，2020年至2023年担任MICCAI董事会成员。倪教授长期从事智能超声的研究、临床应用及产业转化，是全球最早将深度学习应用于超声影像分析的学者之一（2015年）。在超声图像计算领域提出多项原创性理念，包括标准切面识别、影像质量控制、三维超声图像分割、基于深度学习的自由臂三维超声重建等，带领数百人研发团队，开发十余款超声AI软件，软件全球授权超过3万套。

英文简介

Professor Dong Ni is the full professor of School of Biomedical Engineering, Shenzhen University. He founded the Medical UltraSound Image Computing (MUSIC) Lab in 2010. He is also the founder and chief scientist of Shenzhen RayShape Medical Technology Co., Ltd., which has become the largest supplier of Ultrasound AI software in the world. He has published more than 200 papers, with an H-index of 49 and more than 10, 000 citations. He was the local Chair of MICCAI 2019 and has served as the Board member of MICCAI society from 2020 to 2023.

Professor Ni has been involved in the research, clinical application and industrial transformation of intelligent ultrasound for a long time. He is one of the first to apply deep learning to ultrasound imaging (2015). He has put forward many original ideas in the field of ultrasound image computing, including standard plane recognition, imaging quality control, 3D ultrasound image segmentation, freehand 3D ultrasound reconstruction based on deep learning, etc. He has led a R&D team of hundreds of people and developed more than 10 ultrasound AI software. The software has been authorized for more than 30,000 sets worldwide.

英文名

Jie Du

联系邮箱

dujie@szu.edu.cn

中文简介

助理教授、博士生导师。澳门大学计算机科学专业博士。主要研究方向为医学图像处理与机器学习。截至目前，已发表期刊/会议论文30余篇，包括在IEEE Transactions on Cybernetics，IEEE Transactions on Neural Networks and Learning Systems，Medical Image Analysis，IEEE Transactions on Medical Imaging等中科院一区Top期刊收录论文近20篇。谷歌学术引用900余次，H指数16。担任IEEE TIP/TNNLS/TCYB/TII/TMI/TETCI、Elsevier NN/ESWA/KBS/NEUCOM等十余个国际知名期刊的审稿人。目前，主持国自然面上项目、青年项目、广东省基础研究面上项目、广东省教育厅-青年创新人才类项目等9项科研项目。

英文简介

Jie Du received her Ph.D. in Computer Science from the University of Macau. Then she joined the Department of Biomedical Engineering at Shenzhen University as an assistant professor. Her research interests include medical image processing and machine learning. Her works have been published in IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Medical Image Analysis, IEEE Transactions on Medical Imaging, et al. Her Google Scholar h-index is 16, and Google Scholar Citation is 900+. Dr. Du serves as the reviewer of many top-tier journals, such as IEEE TIP/TNNLS/TCYB/TII/TMI/TETCI and Elsevier NN/ESWA/KBS/NEUCOM.

英文名

Ruobing Huang

联系邮箱

ruobing.huang@szu.edu.cn

中文简介

黄若冰，副教授，深圳市海外高层次人才C类。2014年本科毕业于北京理工大学，2018年在英国牛津大学获得博士学位，导师为英国皇家科学院/工程院院士Alison Noble教授。2019年入职深圳大学生物医学工程学院。研究方向为医学图像分析及深度学习应用，专注于智能超声辅助诊断（甲乳癌症诊断、胎儿产前早筛等）。发表期刊/会议论文40余篇，包括在Medical Image Analysis，IEEE Transactions on Medical Imaging，MICCAI等领域国际顶刊顶会等收录论文10余篇。主持了国家自然科学基金面上项目、青年项目、广东省基础与应用基础基金面上项目等课题。

英文简介

Dr. Ruobing Huang is an associate professor and a Class C overseas high-level talent in Shenzhen. She graduated with a bachelor's degree from Beijing Institute of Technology in 2014 and obtained her PhD from the University of Oxford in 2018, under the supervision of Professor Alison Noble, OBE FREng FRS. In 2019, she joined the School of Biomedical Engineering at Shenzhen University. Her research focuses on medical image analysis and deep learning applications, particularly in intelligent ultrasound-assisted diagnosis, including breast/thyroid cancer diagnosis and prenatal screening. She has published over 40 journal and conference papers, including more than 10 in leading international journals and conferences such as Medical Image Analysis, IEEE Transactions on Medical Imaging, and MICCAI. She has led projects funded by the National Natural Science Foundation of China, and Guangdong Province’s Basic and Applied Basic research programs.