个人简历：
Dr. Zeng Zhang serves as a Tenure-track Assistant Professor, Principal Investigator (PI), and Director of the Translational Hemodynamics Research Lab (THe Lab) at the School of Biomedical Engineering. Dr. Zeng Zhang completed his undergraduate studies at Beihang University and subsequently pursued his doctoral degree at The Johns Hopkins University in the United States under the guidance of Dr. Joseph Katz, a member of the National Academy of Engineering (NAE), where he also conducted postdoctoral research. During his doctoral studies, he had joint training experiences at The Johns Hopkins Medical Institute (2018) and the Children’s Hospital of Philadelphia (2019-2023).
Dr. Zeng Zhang's research focuses on fluid dynamics, cardiovascular and cerebrovascular hemodynamics, super-resolution ultrasound imaging, machine learning, and interdisciplinary translational studies in neurosurgery and cardiac surgery. His algorithms for ultrasound localization microscopy and ultrasound particle image velocimetry are capable of performing non-invasive, high-resolution measurements of multiscale vascular structures and blood flow in various organs at the micron level. Based on these techniques, he has made great contributions to the non-invasive intracranial pressure measurement, ischemic brain injury detection, early detection of hydrocephalus, and real-time monitoring of cardiac and cerebral perfusion for ECMO patients. These works have provided safe, convenient, and precise diagnostic methods for clinical applications.
His research findings have been published in journals such as Nature Communications, Journal of Biomechanical Engineering, Ultrasonography, Measurement Science and Technology, and he has delivered oral presentations and invited talks at prominent international conferences including the American Physical Society (APS) Annual Meeting, Acoustical Society of America (ASA) Annual Meeting, International Symposium on Particle Image Velocimetry (ISPIV), and International Conference on Ultrasound Engineering for Biomedical Applications (UEBA).
THe Lab warmly welcomes students with backgrounds in fluid mechanics, computer science and technology, mathematics and applied mathematics, as well as biomedical engineering, to come for research and study!
研究领域：
Hemodynamic Measurement Techniques: Ultrasound Localization Microscopy (ULM), Ultrasound Particle Image Velocimetry (Echo-PIV), and Microvascular Ultrasound Imaging (MVI).
AI-assisted Hemodynamic Simulation Techniques: Physics-Informed Neural Networks (PINNs), Neural Koopman Operator.
Clinical Translational Research on Multiscale Blood Perfusion: Non-invasive early diagnosis, staging, and drug sensitivity screening of malignant tumors; Non-invasive assessment of myocardial microvascular perfusion for patients with cardiovascular diseases; Detection of ischemic brain injury in infants and young children.
教学与课程：
学术任职：
Membership：
Member of American Physical Society (APS)
Member of the Acoustical Society of America (ASA)
代表性论文：
Cerebral Microvascular Hemodynamics：
Zhang, Zeng, Misun Hwang, Todd J. Kilbaugh, Anush Sridharan, and Joseph Katz. Cerebral microcirculation mapped by echo particle tracking velocimetry quantifies the intracranial pressure and detects ischemia. Nature communications 13, no. 1 (2022): 666.
Cardiac and Aortic Hemodynamics：
Zhang, Zeng, Xun Zhou, Alejandro Suarez-Pierre, Cecillia Lui, Sean Kearney, Enoch Yeung, Henry Halperin, Chun Woo Choi, and Joseph Katz. Time-resolved echo-particle image/tracking velocimetry measurement of interactions between native cardiac output and veno-arterial ECMO Flows. Journal of Biomechanical Engineering 143, no. 2 (2021): 021008.
实验室介绍：
The Translational Hemodynamics Research Lab (THe Lab) focuses on the hemodynamics of macro- and micro- vasculature. By integrating the latest techniques in fluid dynamics, ultrasound imaging, computer vision, and AI for science, THe lab is dedicated to developing high spatiotemporal resolution, multiscale, and clinically applicable experimental and simulation methods for studying hemodynamics in multiple organs. The goal is to explore advanced hemodynamic characteristics at both macro and micro levels under various pathological conditions and to establish a multidisciplinary framework for translational medical research. This framework aims to provide safe, convenient, and accurate diagnostic methods for disciplines like oncology, cardiac surgery, and neurosurgery.
The main research topics of THe lab include:
Hemodynamic Measurement Techniques: Developing multi-scale, high-resolution, non-invasive hemodynamic measurement methods including Ultrasound Localization Microscopy (ULM), Ultrasound Particle Image Velocimetry (Echo-PIV), and Ultrasound Microvascular Imaging (MVI) based on deep learning and clinical data. The goal is to achieve cross-platform, clinically applicable, and real-time imaging with high spatiotemporal resolution.
AI-assisted Hemodynamic Simulation Techniques: Using techniques like Physics-Informed Neural Networks (PINNs) and neural Koopman operators to achieve clinically applicable cardiovascular hemodynamic simulation and to obtain advanced dynamic information at various levels.
Clinical Translational Research on Multiscale Blood Perfusion: Applying the above methods to translational research in cardiology, neurosurgery, neuroscience, and oncology. This includes but is not limited to a) Non-invasive early detection, grading, and drug sensitivity screening for malignant tumors; b) Non-invasive assessment of myocardial microvascular perfusion for patients with cardiovascular diseases; c) Diagnosis of ischemic brain injury in infants and young children, etc.
