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:   [email protected]                

英文名

Chunqi Chang

聯(lián)系郵箱

[email protected]

中文簡(jiǎn)介

特聘教授，博士生導(dǎo)師，國(guó)家青年特聘專(zhuān)家。2002-2012年歷任香港大學(xué)博士后、副研究員、助理教授、訪(fǎng)問(wèn)教授，2012年-2015年任蘇州大學(xué)特聘教授，2015年入職深圳大學(xué)。目前任廣東省認(rèn)知學(xué)會(huì)常務(wù)理事，深圳大學(xué)神經(jīng)系統(tǒng)疾病臨床醫(yī)學(xué)研究中心副主任。主要使用多模態(tài)神經(jīng)信息采集、神經(jīng)調(diào)控、類(lèi)腦模擬、機(jī)器學(xué)習(xí)等手段在細(xì)胞、動(dòng)物、人類(lèi)多個(gè)角度進(jìn)行微觀(guān)、介觀(guān)、宏觀(guān)方面的腦科學(xué)基礎(chǔ)及臨床應(yīng)用研究.在國(guó)際知名學(xué)術(shù)期刊及國(guó)際會(huì)議發(fā)表論文100余篇，SCI收錄80余篇。

英文簡(jiǎn)介

Dr Chunqi Chang, Distinguished Professor, 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

聯(lián)系郵箱

huanggan@szu.edu.cn

中文簡(jiǎn)介

黃淦，博士畢業(yè)于上海交通大學(xué)，比利時(shí)法語(yǔ)魯汶大學(xué)博士后。他的致力于發(fā)展運(yùn)動(dòng)、感受相關(guān)的魯棒神經(jīng)信號(hào)解碼方法和精準(zhǔn)神經(jīng)調(diào)控技術(shù)，同時(shí)積極將研究成果應(yīng)用于腦機(jī)接口，神經(jīng)調(diào)控以及神經(jīng)假肢等方面。個(gè)人主頁(yè)https://huanggan.site

l 在國(guó)內(nèi)外高水平雜志 Neuroimage, Neural Network雜志發(fā)表論文40余篇，谷歌學(xué)術(shù)H指數(shù)為22；

l 擔(dān)任IEEE TNNLS, TNSRE, TBME, JNE, NeuroImage等多個(gè)期刊審稿人；

l 承擔(dān)國(guó)家自然科學(xué)基金2項(xiàng)，省市科研項(xiàng)目多項(xiàng)；

l 2021年獲教育部自然科學(xué)一等獎(jiǎng)；

l 寫(xiě)腦電信號(hào)處理軟件 Letswave7 (https://letswave.cn)。

英文簡(jiǎn)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

聯(lián)系郵箱

y[email protected]

中文簡(jiǎn)介

蔣宇超，從事人工智能和大數(shù)據(jù)、神經(jīng)信息學(xué)、腦影像學(xué)與精神醫(yī)學(xué)的理工醫(yī)交叉研究，致力于神經(jīng)影像技術(shù)和醫(yī)學(xué)轉(zhuǎn)化研究，基于海量生物醫(yī)學(xué)數(shù)據(jù)的大數(shù)據(jù)挖掘、統(tǒng)計(jì)和機(jī)器學(xué)習(xí)工具，開(kāi)發(fā)基于時(shí)空概念的新型腦疾病建模方法，能夠在“時(shí)間”和“空間”兩個(gè)層面解析腦疾病的空間起源和時(shí)間進(jìn)展軌跡，應(yīng)用于多種腦疾病建模。以第一作者/通訊作者發(fā)表SCI論文20余篇，包括Nature Mental Health，Nature Communications，Science Advances等。

英文簡(jiǎn)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.