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.

ENQUIRY

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

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.