Dr. Daniel M. Czajkowsky is a Professor of Biomedical Engineering and a member of the Bio-ID center. He obtained his B.Sc. in Physics (Honors) from the University of Alberta, Canada and his Ph.D. degree in Biophysics from the University of Virginia, US. He then worked at the University of Virginia as a Research Associate, when he was awarded a Young International Fellowship from the Chinese Academy of Sciences in 2010. With this fellowship, he did his research at Shanghai Institute of Applied Physics until 2012. He was appointed as a special investigator at SJTU in 2013 and professor in 2019. Dr. Czajkowsky has published over 85 journal articles in journals including those in Nature Communications, PNAS, ACS Nano, Advanced Materials, JACS, and EMBO Mol Med, the latter of which is one of the most highly cited papers (top 1%) in Clinical Medicine according to the Web of Science.

There are two main directions of the research in his group: structure/function studies of large bio-complexes, including chromatin, and the development of novel single-molecule based instrumentation. For the former, there are projects focused on (1) the mechanisms by which chromosomes fold within the nucleus and the functional consequences of that folding on transcription, replication and genomic stability; (2) the mechanisms by which bacterial pore-forming toxins self-assemble into membrane spanning complexes and exploiting these pores for novel biotechnological applications; and (3) the development of a novel polymeric Fc-fusion protein complex for clinical applications. For the latter direction, there are projects focused on the development of (1) a novel cryo-atomic force microscope for biological applications and (2) a unique multiplex magnetic tweezers device for studies of protein-protein interactions as well as mechano-phenotyping of cells as tissues for clinical applications.

Dr. Xianting Ding is Full Professor at School of Biomedical Engineering, Deputy Director of Institute for Personalized Medicine, Shanghai Jiao Tong University. He received his Ph.D. degree from Department of Mechanical Engineering at University of California, Los Angeles (UCLA) in 2012. His research interests focus on developing Personalized Therapy and Precision Medicine, including: 1) single cell protein analysis based on CyTOF, IMC, Single-Cell Western Blot technologies; 2) developing personalized optimization therapeutics based on AI-Medicine, Microfluidics and Bio-MEMS.

He participated in the early investigation and development for 3 international research centers, including Institute for Cell Mimetic Space Exploration (CMISE, funded by NASA), Center for Cell Control (CCC, funded by NIH) and Institute for Personalized Medicine (IPM, funded by Chinese Central Organization Department). He is now leading 16 related international projects. He is the editorial board member for Scientific Reports and SLAS Technology, guest editor for CNS & Neurological Disorders - Drug Targets, Current Medicinal Chemistry, Combinatorial Chemistry & High Throughput Screening, Mini-Reviews in Organic Chemistry, Current Pharmaceutical Biotechnology, Current Topics in Medicinal Chemistry, Anti-Cancer Agents in Medicinal Chemistry. 

He has published over 150 SCI journal papers, including Science Advances, Advanced Materials, Advanced Functional Materials, Biosensors & Bioelectronics, Genome Biology, Analytical Chemistry, Biofabrication, Nature Communications, PNAS, Nature Protocols. He has filed over 70 national and international patents. 

Dr. Jun Fang is an Associate Professor of Biomedical Engineering at Shanghai Jiao Tong University (SJTU). He obtained a joint Ph.D. training (CSC Scholarship) from Donghua University (State Key Laboratory for Modification of Chemical Fibers and Polymer Materials) and University of Pittsburgh, and received his Ph.D. degree of Biomimetic Materials in 2015 under the supervision of Prof. Xiumei Mo and Prof. William R. Wagner. From 2016 to 2021, he was a postdoctoral research fellow and an assistant project scientist with Prof. Song Li at University of California, Los Angeles (UCLA). His current research interests include biomaterials, micro/nano manufacturing, stem cells, cell reprogramming, immune engineering, soft electronics and regeneration medicine. 

GAO, Wei-Qiang, Ph.D.

KC Wong Chair Professor

Director of State Key Lab of Oncogenes and Related Genes

Director of Med-X-Renji Hospital Stem Cell Research Center

Dean of School of Biomedical Engineering

Shanghai Jiao Tong University

Prof. Wei-Qiang Gao received his Ph.D. from Columbia University in 1989 and did his post-doctoral research at Columbia University and the Rockefeller University. From 1993-2010. He had been a Scientist, Senior Scientist and Group/Project Leader at Genentech, Inc.. Dr. Gao has made important contributions to the fields of neuroscience, stem cells and tumorigenesis. In early 1990’s, he made important contributions to the mechanisms of cerebellar granule neuronal differentiation. His group then pioneered research on development and regeneration of inner ear hair cells at Genentech and changed the traditional view that mammalian inner ear hair cells cannot regenerate. He was invited to speak at the Nobel Conference “To Restore Hearing” organized by the Karolinska Institute in Sweden in 2002. More recently, his group worked on “stem cells and tissue regeneration” and “cancer research and cancer stem cells” and published a paper in Nature in 2008 to report for the first time that a single adult stem cell is capable of generating a functional prostate organ. Dr. Gao has published 58 papers as either corresponding or the first author, including Nature, Cell, Science, Neuron, Nature Neuroscience, Nature Communications, Gastroenterology, PNAS， etc. and has been granted 48 US patents. He is a scholar of national “Thousand-Talents Program”, a recipient of ‘”Overseas Outstanding Young Investigators” award from the National Natural Science Foundation of China, and the Chief Scientist of a program project from the Ministry of Science and Technology of China and a key grant from the National Natural Science Foundation of China. He has served as a reviewer for grant proposals of Wellcome Trust in UK, NIH in US, and NSFC and 36 journals including Nature, Nature Medicine, Nature Cell Biology, Nature Communications, Cancer Cells, PNAS, ect..

Dr. Hongchen Gu is Associate Dean of SJTU School of BME. He received his Ph.D. degree in Chemical Engineering in 1992 from East China University of Science and Technology. From 1994 to 1995, he was a visiting professor at Pennsylvania State University. From 2008 until now, Dr. Gu served as the Dean of Nano-biomedical Research Center at School of BME.

Dr. Gu’s research interest lies in controlled synthesis of nanomaterials, surface modification and its applications in biomedical science. In recent years, his research on nanomaterials for diagnostics and therapy of important diseases has reached meaningful results. Several achievements have already been transformed to clinic successfully. Dr. Gu and his group has published more than 200 academic articles and applied for more than 30 patents.

Dr. Bobo Gu received his Ph.D. degree in Optical Engineering from Zhejiang University in 2012. After postdoctoral training at the Nanyang Technological University, he joined Shanghai Jiao Tong University in 2017, where he is currently an Associate Professor in the School of Biomedical Engineering. His research focuses on the design and synthesis of functional inorganic and organic nanomaterials and exploration of their applications in sensing, imaging, and therapy.

Dr. Hao He is currently an associate professor on Biophotonics. He got the B.S. from the Special Class for the Gifted Young in the University of Science and Technology of China. In 2010, he got the PhD degree from the department of Electronics Engineering in the Chinese University of Hong Kong. Since 2011, he worked as an associate professor in the Ultrafast laser Laboratory in the College of Precision Instrument and Optoelectronics Engineering in Tianjin University. Since 2014, he moved to the school of Biomedical Engineering in Shanghai Jiao Tong University. His research focuses on the precise stimulation and modulation of cellular signaling and functions by femtosecond lasers, novel microscopy systems, and applications of such technologies in vivo. Currently he has published more than 30 SCI papers as the first or corresponding author, two on Nature Photonics, one on Nature communications, one on LPR, and two highlighted by Nature Photonics. His research is supported by the NSFC funding, and awarded as the JSPS oversea fellowship. He was invited as the Global Science Course (GSC) Lectureship, and a member of ImPACT project supported by the Japan Cabinet office.

Dr. Hao He is a full-time professor in Shanghai Jiao Tong University. He got the B.S. in the University of Science and Technology of China in 2006 and the PhD degree in the Chinese University of Hong Kong in 2010 respectively. Since 2011, he worked as an associate professor in the Ultrafast laser Laboratory in Tianjin University. Since 2014, he joined the School of Biomedical Engineering in SJTU. His research focuses on the precise stimulation and modulation of cellular signaling and functions by femtosecond lasers, novel microscopy systems, and applications of such technologies in vivo. His research is supported by the NSFC funding, and awarded as the JSPS oversea fellowship. He was invited as the Global Science Course (GSC) Lectureship.

Dr. Li Li is a professor and PhD supervisor in School of Biomedical Engineering.

He has published more than 40 SCI papers in Nat Genet, Cancer Cell,,Nat Cell Biol, Gut, Hepatology, Nat Commun, Genes Dev, PNAS, et al, including 23 papers as first or corresponding author (IF > 270). He is the memeber of editorial board of Bosnian J Basic Med and a special reviewer of Cancer Letters and Transl Oncol.

Tel: 021-62933629

E-mail: lil@sjtu.edu.cn

Dr. Wanlu Li is the tenure-track Assistant Professor at Biomedical Engineering School, Shanghai Jiao Tong University. She received her B.S. degree from Jilin University in 2015, and a Ph.D. in Biomedical Engineering at Shanghai Jiao Tong University. Dr. Li worked in Harvard Medical School as a visiting student and postdoctoral researcher (2018-2022). Since Aug 2022, she has been the tenure-track Assistant Professor at Biomedical Engineering School, Shanghai Jiao Tong University. Dr. Li’s research is focused on innovating 3D bioprinting technologies to recreate functional tissues and their biomimetic models towards applications in precision medicine. She has published over 30 papers in peer-reviewed journals, including Nature Communications, Advanced Materials, Aggregate, Advanced Healthcare Materials, and Biofabrication. Dr. Li received the Junior Investigator Award and Award for Scientific Excellence  at International Stroke Conference 2019 and International Society for Stem Cell Research (ISSCR) conference 2020.

Dr. Guan Ning Lin is a Professor of Special Appointment (Eastern Scholar) at the School of Biomedical Engineering. He joined Shanghai Jiao Tong University in 2016. He received both his B.S. and M.S. degree in computer science from Baylor University (TX, USA) and Ph.D. in informatics from University of Missouri (MO, USA). He then joined the Department of Psychiatry at University of California, San Diego, as a postdoctoral fellow.

Dr. Lin’s main research effort has been the development and application of new analytic methods that elucidate the underlying network organization in multi-dimensional data, permitting integration of genomic and genetic data with phenotype data on a large scale. One area of basic investigation has been in the analysis of transcriptome data where he uses network biology approaches to understand brain transcriptome organization, which connects genetic risk for disease in autism to brain circuitry and molecular function both in human, and in vitro and in vivo model systems. The goal is to develop effective therapeutics for neurologic and psychiatric disorders, including autism and schizophrenia.

In recent years, Dr. Lin has published various research paper in high impact journals, including Nature Communication, Neuron, Cell, American Journal of Human Genetics, etc.

Lab webpage：http://bmi.sjtu.edu.cn/

Guan Ning Lin on ResearchGate:

https://www.researchgate.net/profile/Guan-Lin-4/research

Dr. Dahong Qian is a professor in Biomedical Engineering at Shanghai Jiao Tong University. He had held various engineering and management positions at Analog Devices and OmniVision, etc. From 2013 to 2017, he was a professor at Zhejiang University Medical School. His research areas include AI in medicine and medical data processing, medical microelectronics and micro sensors.

Prof. Dr. Kun Qian

BS/MS at Fudan University, PhD at University of Queensland, Research Fellow at Stanford University. He is now a principle investigator (PI) at School of Biomedical Engineering, Shanghai Jiao Tong University. His research interests and efforts are focused on the development and commercialization of ultra-sensitive and high-throughput bio-analytical methods and mass spectrometry techniques towards large-scale clinical use through design, synthesis, and engineering of materials and devices. He has co-authored over 60 peer-reviewed articles in top international journals, including Cell et al. Dr. Qian has attracted grants from top research programs (e. g. from NSFC) and received several prestigious domestic/international awards for research excellence. He held several key patents and had strong connections with domestic and international industry partners.

Xiaohua Qian, Ph.D., joined the BME at Shanghai Jiao Tong University in 2018 as an Associated Professor. Before joining SJTU, Qian worked at The University of Texas Health Science Center at Houston as an Assistant Professor and worked at Wake Forest University’s School of Medicine as a Research Fellow. Prior to that, Qian was a Research Assistant Professor at Shanghai Advanced Research Institute, Chinese Academy of Sciences.

Dr. Qian received his Ph.D. in Electronic Engineering from Jilin University School of Electronic Science and Engineering in December 2012. During his doctoral program, he was awarded a full scholarship from the China Scholarship Council and got his academic training on Medical imaging analysis at Duke University Medical Center for two years.

Dr. Binjie Qin received the M.Sc. degree in Measuring and Testing Technologies and Instruments from Nanjing University of Science and Technology, Nanjing, and the Ph.D. degree in Biomedical Engineering from Shanghai Jiao Tong University, Shanghai, China, in 1999 and 2002, respectively. He was a Lecturer and then Associate Professor at the Department of Biomedical Engineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. From Aug. 2012 to Aug. 2013, He was a visiting professor at Department of Computer Science, University College London, U.K. He is currently an Associate Professor with the School of Biomedical Engineering, Shanghai Jiao Tong University. He has served a reviewer for nearly thirty journals including IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Medical Image Analysis, Pattern Recognition, IEEE Transactions on Cybernetics, IEEE/CAA Journal of Automatica Sinica, Bioinformatics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Signal Processing Letters, Physics in Medicine and Biology. He is a leading guest editor of “Cerebral vessel extraction: from image acquisition to machine learning” in Frontiers in Neuroscience (2021). He was awarded as an outstanding reviewer of Pattern Recognition (2018) and Journal of Shanghai Jiaotong University (2020). His group have developed image-guided ENT surgery system and bioluminescence & fluorescence imaging system that are successfully used in real applications. His research has been supported by the grants from National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University and some companies. The main research interests in his group include: biomedical imaging, image processing, machine learning, computer vision and biomedical instrumentation. Over the past years, his group’s research has focused on challenging problems on weak signal detection such as vessel extraction from X-ray coronary angiography for minimally invasive vascular interventions and integrated system development for biomedical applications such as bioluminescence &multi-spectral fluorescence imaging.

Guangyu Qiu

Associate Professor

Email: guangyuqiu@sjtu.edu.cn

Office address: Room 211, Cyrus Tang Building, Shanghai Jiaotong University (Minhang campus), 800 Dongchuan Road, Shanghai

Biography

Guangyu Qiu received his Master degree in 2014 and and Ph. D degree in 2017 from City University of Hong Kong. His main research interests cover cross-disciplinary fields such as optical biosensing technologies, plasmonics, nanophotonics, functional nanomaterials, and their life science, environmental and biochemical applications. He has authored more than 35 SCI papers published in leading peer-reviewed journals in the past five years, including one ESI “highly cited paper” and one ESI “hot paper”. His research works also led to four international patents.

Work Experiences

2022-now Associate professor, Shanghai Jiaotong University, China

2018-2022 Postdoctoral researcher, ETH Zurich, Switzerland

2017-2018 Postdoctoral researcher, City University of Hong Kong, Hong Kong, China

Education background

2014-2017 City University of Hong Kong, Ph. D

2013-2014 City University of Hong Kong, M. Sc.

2009-2013 China university of Petroleum (East China), B. S.

Research Interests

1.     Plasmonics and functional materials for biosensing applications

2.     Optofluidic and high-throughput biosensors

3.     Medical robotics and integrated biosensing system for diagnosis

Selected Publications

[1]    Qiu, G. Y.; Gai, Z.; Saleh, L.; Tang, J.; Gui, T.; Kullak-Ublick, G. A.*; Wang, J.*, Thermoplasmonic-Assisted Cyclic Cleavage Amplification for Self-Validating Plasmonic Detection of SARS-CoV-2. ACS Nano 2021, 15 (4), 7536-7546. (IF=18.027)

[2]    Yu, R., Qiu, G. Y.*, Zhao, Y.-B., Freudemann, D., Fisher, B., Wang, X.*,  Wang, J.* (2022). A portable and smartphone-based plasmonic system for on-site measurement of airborne redox-active compounds by light-initiated redox reaction. Sensors and Actuators. B, Chemical, 2022, 371, 132505. (IF=9.221)

[3]    Tang, J. K.; Qiu, G. Y.*; Wang, J.*, Recent Development of Optofluidics for Imaging and Sensing Applications. Chemosensors 2022, 10 (1). (IF=4.229)

[4]    Yu, R.; Pan, F.; Schreine, C.; Wang, X.; Bell, D. M.; Qiu, G. Y.*; Wang, J.*, Quantitative Determination of Airborne Redox-Active Compounds Based on Heating-Induced Reduction of Gold Nanoparticles. Anal. Chem. 2021, 93 (44), 14859-14868. (IF=8.008)

[5]    Qiu, G. Y.; Gai, Z. B.; Tao, Y. L.; Schmitt, J.; Kullak-Ublick, G. A.; Wang, J.*, Dual-Functional Plasmonic Photothermal Biosensors for Highly Accurate Severe Acute Respiratory Syndrome Coronavirus 2 Detection. ACS Nano 2020, 14 (5), 5268-5277. (IF=18.027, ESI“Highly cited paper”、ESI “hot paper”)

[6]    Qiu, G. Y.; Yue, Y.; Tang, J.; Zhao, Y.-B.; Wang, J.*, Total Bioaerosol Detection by a Succinimidyl-Ester-Functionalized Plasmonic Biosensor To Reveal Different Characteristics at Three Locations in Switzerland. Environ. Sci. Technol. 2020, 54 (3), 1353-1362. (IF=11.357)

[7]    Thakur, A.; Qiu, G. Y.; Xu, C.; Han, X.; Yang, T.; Ng, S. P.; Chan, K. W. Y.; Wu, C. M. L.*; Lee, Y.*, Label-free sensing of exosomal MCT1 and CD147 for tracking metabolic reprogramming and malignant progression in glioma. Science Advances 2020, 6 (26).

[8]    Qiu, G. Y.; Thakur, A.; Xu, C.; Ng, S. P.; Lee, Y.*; Wu, C. M. L.*, Detection of Glioma-Derived Exosomes with the Biotinylated Antibody-Functionalized Titanium Nitride Plasmonic Biosensor. Adv. Funct. Mater. 2019, 29 (9). (IF=19.924)

[9]    Qiu, G. Y.; Ng, S. P.; Wu, C. M. L.*, Label-free surface plasmon resonance biosensing with titanium nitride thin film. Biosens. Bioelectron. 2018, 106, 129-135. (IF=12.545)

[10] Qiu, G. Y.; Ng, S. P.; Wu, C. M. L.*, Bimetallic Au-Ag alloy nanoislands for highly sensitive localized surface plasmon resonance biosensing. Sensors and Actuators B-Chemical 2018, 265, 459-467. (IF=9.221)

[11] Thakur, A.#; Qiu, G. Y.#; Siu-Pang, N. G.; Guan, J. T.; Yue, J. B.; Lee, Y. J.*; Wu, C. M. L.*, Direct detection of two different tumor-derived extracellular vesicles by SAM-AuNIs LSPR biosensor. Biosens. Bioelectron. 2017, 94, 400-407. (IF=12.545)

[12] Qiu, G. Y.; Ng, S. P.; Liang, X. Y.; Ding, N.; Chen, X. F.; Wu, C. M. L.*, Label-Free LSPR Detection of Trace Lead(II) Ions in Drinking Water by Synthetic Poly(mPD-co-ASA) Nanoparticles on Gold Nanoislands. Anal. Chem. 2017, 89 (3), 1985-1993. (IF=8.008)

[13] Qiu, G. Y.; Ng, S. P.; Wu, L. C. M.*, Dielectric functionalization for differential phase detecting localized surface plasmon resonance biosensor. Sensors and Actuators B-Chemical 2016, 234, 247-254. (IF=9.221)

[14] Qiu, G. Y.; Ng, S. P.; Wu, C. M. L.*, Differential phase-detecting localized surface plasmon resonance sensor with self-assembly gold nano-islands. Opt. Lett. 2015, 40 (9), 1924-1927. (IF=3.56)

Huajun She, Ph.D. Bachelor and Master from Shanghai Jiao Tong University. Ph.D. from Electrical and Computer Engineering Department, University of Utah. Postdoctoral Researcher from University of Texas Southwestern Medical Center. Research interest including: Artificial Intelligence, Image Processing, Optimization, Automatic Control, Parallel Computation, Wireless Communication. Have been working on Chemical Exchange Saturation Transfer imaging, Arterial Spin Label imaging, and motion correction algorithms. Implement deep learning and compressed sensing algorithm to accelerate MRI imaging to reach real-time dynamic free-breath MRI. Published several journal papers and conference papers in IEEE Transactions on Medical Imaging, Medical Image Analysis, Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, etc. Magnetic Resonance in Medicine Distinguished Reviewer Award, ISMRM Travel Stipend.

Research Area:

(a)  Deep Learning and Image Processing

(b)  Medical Image Reconstruction, Compressed Sensing, Parallel Real-time Imaging

Combine Artificial Intelligence, Signal Processing, Mathematical Modelling, and Parallel Computation to solve problems in medicine.

Dr. Yaohui Tang received his Ph.D. degree from Shanghai Jiao Tong University in 2014. After graduation, he worked as a postdoc at Max-Planck-Institute for biological cybernetics in Germany and Stanford University in U.S from 2014-2018. He has served as an assitant editor in Stroke and vascular neurology as well as editorial board member in many high impact journals (e.g Frontiers in cellular Neuroscience, Current stem cell research and therapy etc.). In 2018 he was recruited as a tenure track assistant professor in School of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University, and promoted to associate professor in 2022. Dr. Tang has a broad interest in stem cell and gene based therapy for ischemic stroke and tissue engineering. Currently he hostsThe National Key research and development program of China,  Young Scientists Fund of the National Natural Science Foundation of China, Interdisciplinary program of Shanghai Jiao Tong University etc. His work has been published on Nature Communications, Advanced Science, AFM，Stroke, JCBFM, Stem cell reports etc, with more than 2400 citations and H-index as 27.

Dr. Shanbao Tong received the B.S. degree in radio technology from Xi'an Jiao Tong University (Xi'an, China) in 1995, and M.S. degree in turbine machine engineering and Ph.D. degree in biomedical engineering from Shanghai Jiao Tong University in 1998 and 2002 respectively. From 2000-2001, he was a research trainee in Johns Hopkins School of Medicine. From 2002-2005, he had postdoctoral training in Johns Hopkins School of Medicine. His Ph.D. dissertation was on EEG signal processing in brain injury following cardiac arrest, and was awarded the top 100 distinguished Ph.D. dissertations of China (2004). Dr. Tong joined Shanghai Jiao Tong University as associate professor in 2005 and has been full professor since 2009. He established the neural engineering laboratory. His research interests include multimodal neuroimaging techniques and brain rehabilitation, and transcranial ultrasound stimulation.

Dr. Tong is the founding chair of the IEEE EMBS Shanghai chapter which was awarded the Best New Chapter of IEEE EMBS (2013). He is also the founding chair of the IEEE EMBS international summer school of neural engineering. Dr. Tong was the associate editori of IEEE Transactions on Biomedical Engineering， associate editor of IEEE Transactions on Neural Systems and Rehabilitation Engineering. He is currently the Editor in Chief of Medical & Biological Engineering & Computation, board member of the Chinese society of neural engineering and the Chinese society for bioelectronics.  He has served many IEEE EMBS conferences as session chair or co-chair (EMBC since 2005), international program committee (NER'13) or organization committee (NER'15), the conference chair of the 2017 IEEE EMBS international conference of neural engineering(NER'17). Theme Co-chair of IEEE EMBC since 2020.

Dr. Shengxian Tu is a distinguished professor at the School of Biomedical Engineering, Shanghai Jiao Tong University and the director of Shanghai Jiao Tong University-Pulse Medical imaging joint lab. He received his master degree in Biomedical Engineering from Shanghai Jiao Tong University in 2008. After that, he joined the Medis Applied Research group as a scientific researcher, while at the same time pursuing a PhD degree at the Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center, the Netherlands. He graduated cum laude in February 2012. He joined Shanghai Jiao Tong University as a Faculty in 2014. He is the inventor of several patents including the methods for computation of fractional flow reserve from imaging data (QFR, OFR and UFR), which are being used for clinical decisions or studies by a number of hospitals in Europe, Asia, and America. Over the past few years he has published several articles in the leading cardiovascular journals such as Lancet, Eur Heart J, J Am Coll Cardiol, J Am Coll Cardiol Interv, and Circ Cardiovasc Interv. In 2014 he was accepted as a Fellow of European Society of Cardiology (FESC) and in 2017 he was accepted as a Fellow of American College of Cardiology (FACC). Currently, he serves as an associate editor of the International Journal of Cardiovascular Imaging and section editor of JACC: Asia. So far, he has coauthored more than 100 peer-reviewed papers and 30 patents.

Dr. Jin-Ye Wang, professor of Biomedical Engineering and Team Leader of Biomaterials Lab, Shanghai Jiaotong University (2009-). Ph.D. of Tohoku University, Japan (1992); the Hundred Talent Program of the Chinese Academy of Sciences (1999) and professor of Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences (2000-2009); adjunct professor of Shanghai Jiaotong University (2003-2009), specially appointed professor of Tohoku University since 2018.

Dr. Yao Wang is an associate professor in School of Biomedical Engineering, Shanghai Jiao Tong University. He obtained B.S. degree in Polymer Science and Engineering in 2010 from Nanjing University of Science and Technology, and Ph.D. degree in Materials Science and Engineering in 2016 from Shanghai Jiao Tong University. Then he joined School of Biomedical Engineering in Shanghai Jiao Tong University and worked as an Assistant Professor (Research) in 2016. He has published a lot of papers as first/corresponding authors in related important journals, such as Adv. Mater., Small, Biomaterials, Chem. Mater., Nano Res., Nanoscale, Chem. Commun., and applied for 8 patents. His work has been supported by National Science Foundation of China, National Science Foundation of Shanghai, Shanghai Sailing Program, and Interdisciplinary program of Shanghai Jiao Tong University. Dr. Yao Wang has ever obtained the Best Poster Award in International Conference on Functional Materials (2014, Shanghai). His recent research interests mainly include: 1) design of micro/nano-biomaterials with precise architectures for biomedical application, 2) ultrahigh-throughput encoded suspension arrays for multiplexed biodetection, and 3) non-isolated and digital biodetection method for ultrasensitive test of biomarkers.

 Dr. Lichi Zhang is a tenure-track Assistant Professor in the Institute for Medical Imaging Technology, School of Biomedical Engineering. He received the Bachelor degree in Network Engineering from Beijing University of Posts and Telecommunications,  and the Ph.D. degree in Computer Science from University of York, UK. Then he was working as a PostDoc researcher in Med-X Research Institute of Shanghai Jiao Tong University, and the BRIC of University of North Carolina at Chapel Hill. He started to join School of Biomedical Engineering, Shanghai Jiao Tong University in 2017. 

      Dr. Lichi Zhang's research field is computer vision and medical image analysis. His main focus is to incorporate artificial intelligence technologies such as machine learning and etc., to accomplish the multi-modal medical images' processing and analysis works: image segmentation, registration, extraction and selection of the anatomical and functional features from brain images, and computer-aided diagnosis. He has published about 70 journal and conference papers including IEEE TMI, Medical Image Analysis, Human Brain Mapping, Pattern Recognition, MICCAI and etc. 

Shiyi Zhang has been a tenure track associate professor in the School of Biomedical Engineering at the Shanghai Jiao Tong University since 2016. He obtained his bachelor’s degree from Peking University in Beijing in 2008. After then, he started his Ph.D. study with Prof. Karen Wooley at the Washington University in St. Louis. His PhD research interests ranged from degradable polymer for nanomedicine to the polymer self-assembly for functional nanostructures. Upon the completion of his PhD research in 2013, he arrived at MIT as a Max-Planck Postdoctoral Fellow with Prof. Robert S. Langer, focusing the translational study for gastrointestinal drug delivery. Zhang’s research appears in more than forty articles in leading journals, including Nature Materials, Science Translational Medicine, Science Advances, Nature Communications, eLife, Journal of the American Chemical Society, ACS Nano, Advanced Materials, Advanced Functional Materials, Macromolecules and ACS Macro Letters, and results more than twenty patent applications. He also helped to build the biotech startup, Lyndra, to push the gastric retentive drug delivery system into Phase III clinical trial. He is the scientific founder of OnQuality Pharmaceuticals, a clinical stage biotech to develop innovative drugs that improve the quality of cancer patients’ lives. Dr. Zhang received 1000 Plan Program for Young Talents in 2015. His current research interests include: novel treatments for adverse effects caused by anti-cancer therapies and non-absorbable materials (polymeric or inorganic) as drugs for metabolic diseases. 

Dr. Zhang, Zhijun, received her Ph.D. degree of Neuroscience from Shanghai Branch of Chinese Academy of Sciences Institute in 2008. She conducted post-doctoral research at the University of California, San Francisco and the University of Massachusetts Medical School (2009-2012). Up to now, she has published a number of papers in academic journals, such as Nature cell biology, Science, Neuron, PNAS, which have been cited over 2000 times.

Dr. Zhiyong Zhang is currently an Associate Professor of Biomedical Engineering. He received his B.S. (2010) and Ph.D. (2015) in Electronic Science from Xiamen University. From 2013 to 2015, he was a visiting scholar at the Weizmann Institute of Science in Israel, advised by Prof. Lucio Frydman. He continued as a Koshland Postdoctoral Fellow at the Weizmann Institute from 2015 to 2017 where he also received a VATAT fellowship and a Dean’s fellowship. From 2017 to 2019, he was a postdoctoral associate in Prof. Michael (Miki) Lustig’s group in the EECS Department at the University of California, Berkeley. In both 2016 and 2018, he was nominated as a Young Investigator Award Finalist by the International Society for Magnetic Resonance in Medicine (ISMRM). In 2019, Dr. Zhang was also recognized as a Junior Fellow by the ISMRM. He has published more than 30 peer-reviewed journal papers. He serves as a reviewer for Magnetic Resonance in Medicine, Journal of Magnetic Resonance, and Scientific Reports. His research interests lie in the broad areas of Magnetic Resonance Imaging, spectroscopy sequence development, and signal and image processing. He is also interested in translating novel MR techniques into diagnostic medicine and clinical practice.

Dr. Jun Zhao is a Professor . He is the Director of the Medical Imaging and Informatics Area of the school. He received his Ph.D. degree in BME from SJTU in 2006. He was a visit scholar at University of Iowa, USA, in 2006-2007.

He received over 10 research grants from various sources. He has published over 150 journal articles and conference papers, including the first paper on exact triple-source cone-beam CT, and the first paper on virtual eversion of colon. He has over 20 patents. He is an Associate Editor for Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, and International Journal of Biomedical Imaging, and an Editor for International Journal of Imaging. His main research interests include: X-ray computed tomography; medical applications of synchrotron radiation; MRI and intelligent medical image processing.He has cooperated with many famous US universities, many famous hospitals, and many medical device companies. His students are very competitive in the job market. 

Prof. Cheng-Kung CHENG received his Ph.D. degree from the University of Iowa of the USA in 1988. He is now (Feb. 1st 2020-) the Chair Professor of School of Biomedical Engineering of Shanghai Jiao Tong University. He is a Fellow of American Institute for Medical and Biological Engineering. His main research focuses on the biomechanics of the musculoskeletal system and orthopaedic implants.