Dr. Bingbing Cheng is an Assistant Professor and Director of Translational Research in Ultrasound THeranostics (TRUTH) Lab in the School of Biomedical Engineering at ShanghaiTech University. Dr. Cheng earned his Ph.D. degree in Biomedical Engineering from UT Southwestern Medical Center and the University of Texas at Arlington, Texas, USA in 2016. After that, he worked as a postdoctoral researcher in the Department of Radiology at UT Southwestern Medical Center, focusing on the translational research of therapeutic focused ultrasound. In 2019, he joined the Cumming School of Medicine and Hotchkiss Brain Institute at the University of Calgary as a senior postdoctoral associate. In the meantime, he was also the scientific lead for the drug delivery theme of the MR-guided Focused Ultrasound Program.
Dr. Cheng’s research is concentrated on the development and application of focused ultrasound-involved biomedical imaging and therapeutic techniques. In recent years, his research interest is to develop innovative focused ultrasound techniques for brain applications. He has published over 50 peer-reviewed journal articles and conference abstracts, given over 30 international oral presentations and invited talks, hold 2 USA patents (granted) and numerous awards granted from institutional, provincial, national, and international organizations. He also serves as a regular reviewer for 10+ peer-reviewed high-impact journals.
Developing innovative focused ultrasound techniques for brain applications: drug delivery, thermal therapy, and neuromodulation
Developing novel ultrasound contrast agents
Improving FUS-based therapies with Artificial Intelligence
Biomedical Signals and Systems I
Introduction to Biomedical Engineering
Services to External Academic Communities：
Reviewer for journals:
Human Brain Mapping
International Journal of Hyperthermia
Annals of Biomedical Engineering
Physics in Medicine and Biology
IEEE Journal of Lightwave Technology
Biomedical Physics and Engineering Express
Journal of Current Drug Delivery
Member for associations or committees:
International Society for Therapeutic Ultrasound (ISTU)
The Society for Thermal Medicine (STM)
Biomedical Engineering Society (BMES)
The Optical Society of America (OSA)
The International Society for Optical Engineering (SPIE)
Selected publications (#: corresponding author):
B. Cheng#, C. Bing, T. H. Chu, S. Alzahrani, S. Pichardo, and B. G. Pike, Simultaneous localized brain mild hyperthermia and blood-brain barrier opening via feedback-controlled transcranial MR-guided focused ultrasound and microbubbles, in IEEE Transactions on Biomedical Engineering, vol. 69, no. 6, pp. 1880-1888, 2022 (Editor’s selection, Featured Article)
B. Cheng, C. Bing, R. M. Staruch, S. Shaikh, M. Wodzak Staruch, D. Szczepanski, N. S. Williams, T. W. Laetsch, and R. Chopra, The effect of injected dose on localized tumor accumulation and cardiac uptake of doxorubicin in a Vx2 rabbit tumor model using MR-HIFU mild hyperthermia and thermosensitive liposomes, in International Journal of Hyperthermia, vol. 37, 2020, pp. 1052-1059.
B. Cheng#, C. Bing, Y. Xi, B. Shah, A. A. Exner, and R. Chopra, Influence of nanobubble concentration on blood-brain barrier opening using focused ultrasound under real-time acoustic feedback control, in Ultrasound in Medicine and Biology, vol. 45, 2019, pp. 2174-2187.
B. Cheng, C. Bing, and R. Chopra, The effect of transcranial focused ultrasound target location on the acoustic feedback control performance during blood-brain barrier opening with nanobubbles, in Scientific Reports, vol. 9, no. 1, 2019, p. 20020.
B. Cheng#, Y. Chatzinoff, D. Szczepanski, C. Bing, S. Shaikh, O. Wyman, C. E. Perry, J. A. Richardson, D. K. Burns, B. M. Evers, D. E. Greenberg, and R. Chopra, Remote acoustic sensing as a safety mechanism during exposure of metal implants to alternating magnetic fields, in PLOS ONE, vol. 13, no. 5, 2018, p. e0197380.
B. Cheng, V. Bandi, S. Yu, F. D’Souza, K. Nguyen, Y. Hong, L. Tang, and B. Yuan, “The mechanisms and biomedical applications of an NIR BODIPY-based switchable fluorescent probe”, in International Journal of Molecular Sciences, vol. 18, no. 2, 2017, p. 384.
B. Cheng, V. Bandi, M-Y. Wei, Y. Pei, F. D’Souza, K. Nguyen, Y. Hong, and B. Yuan, “High-resolution ultrasound-switchable fluorescence imaging in centimeter-deep tissue phantoms with high signal-to-noise ratio and high sensitivity via novel contrast agents”, in PLOS ONE, vol. 11, no. 11, 2016, p. e0165963.
B. Cheng, M-Y. Wei, Y. Liu, H. Pitta, Z. Xie, Y. Hong, K. Nguyen, and B. Yuan, “Development of ultrasound-switchable fluorescence imaging contrast agents based on thermosensitive polymers and nanoparticles”, in IEEE Journal of Selected Topics in Quantum Electronics, vol. 20, no. 3, 2014, p. 6801214
Google Scholar link for Dr. Bingbing Cheng's publications:
Welcome to the TRUTH Lab! Our research laboratory focuses on developing focused ultrasound techniques for non-invasive, targeted, and personalized brain disease diagnosis and treatment. The research in our lab is highly interdisciplinary with the combination of physics, engineering, biology, chemistry, and medicine. Our lab is led by Dr. Bingbing Cheng, Assistant Professor in the School of Biomedical Engineering at the ShanghaiTech University.
We are looking for graduate students, postdoc, research assistant, technician, and staff scientist to join us. Please contact Dr. Cheng (email@example.com) for more information. We welcome talents with background in the following area: Biomedical Engineering, Electrical Engineering, Medical Physics, Computer Science, and other related fields.
The mission of the TRUTH lab is to develop innovative focused ultrasound (FUS) techniques for improving the life of patients with brain diseases. Our team is working on the following research projects:
Reversible, targeted, and safe blood-brain barrier opening for image-guided non-invasive drug delivery to the brain
MR-guided High-Intensity Focused Ultrasound (MR-HIFU) thermal therapy
Development of novel ultrasound contrast agents – nanobubbles for therapeutic/imaging purposes
Artificial Intelligence applications in FUS treatment planning and evaluation