Short Biography

Jianguo Ma is an associate professor in School of Instrumentation Opto-electronic Engineering in Beihang University. He received his Ph.D. degree in Mechanical Engineering (major) and Electrical Engineering (minor) from Dr. Xiaoning Jiang's Group at North Carolina State University (NCSU) in 2014. After that, he worked as a research scientist in Dr. Tzung K. Hsiai’s lab in Department of Bioengineering and Department of Medicine in University of California, Los Angeles (UCLA) from 2015 to 2016. Since late 2016, he was employed as an associate professor by Beihang University in China. As the principal investigator of three national-level research projects, including the National Natural Science Foundation and the National Key Research and Development Program, Jianguo Ma's research interests are developing state-of-the-art ultrasound transducers and intelligent diagnosis with ultrasound signals. He has published more than 50 papers.This includes two cover papers, contributions to three English-language monographs, four granted Chinese invention patents, three granted U.S. invention patents, and one technology transfer.He has been serving as the Technical Program Committee (TPC) member of IEEE International Ultrasonics Symposium.

Research Area

1. Novel ultrasound transducers

2. Biomedical ultrasound imaging and therapy

3. AI in Ultrasound Spectral Imaging.

Courses

1. Primary teaching responsibilities include graduate courses "Scientific Writing and Reporting" and "Imaging Technology."

2. Teaches the undergraduate courses "Circuit Analysis" and "Ultrasonic Imaging Systems" (taught in English).

Papers & Books

1. Z. Xie, J. Han, N. Ji, L. Xu, J. Ma*, “RFImageNet framework for segmentation of ultrasound images with spectra-augmented radiofrequency signals”, Ultrasonics, vo. 146, p. 107498, 2025.

2. M. Fan, Z. Xie, L. Xu, J. Ma, “Adaptive beamforming and multiwave fusion for precise laser ultrasound-based nondestructive evaluation”, IEEE Transactions on Instrumentation and Measurement, vol. 74, p. 6000209, 2024.

3. P. Sun^#, J. Han^#, M. Li, Z. Wang, R. Guo, Y. Zhang, L. Qian, J. Ma*, X. Hu*, "Ultrasound spectral combined with clinical pathological parameters in prediction of axillary lymph node metastatic in breast cancer," Journal of Ultrasound in Medicine, vol. 43, pp. 2311-2324, 2024.

4. Y. Cai, T. Zhang, L. Xu, J. Ma*, "Dual-orientation fusion of dual-frequency ultra-short ultrasound pulses for super-resolution imaging," IEEE Transactions on Instrumentation and Measurement, vol. 73, p. 3458049, 2024.

5. Z. Xie^#, Q. Sun^#, J. Han, P. Sun, X. Hu, N. Ji, L. Xu, J. Ma*, "Spectral analysis enhanced net (SAE-Net) to classify breast lesions with BI-RADS category 4 or higher," Ultrasonics, vol. 143, p. 107406, 2024.

6. Z. Xie^#, M. Fan^#, N. Ji, Z. Ji, L. Xu, and J. Ma*, "Ultrasound wavelet spectra enable direct tissue recognition and full-color visualization," Ultrasonics, vol. 142, p. 107395, 2024.

7. Y. Qiu^#, Z. Xie^#, Y. Jiang, and J. Ma*, "Segment anything with inception module for automated segmentation of endometrium in ultrasound images, " Journal of Medical Imaging, vol. 11, no.3, p. 034504, 2024.

8. J. Ma, T. Liu, and L. Xu*, "Stack-Layer Dual-Frequency Ultrasound Array With Ground Shielding for Super-Harmonic Imaging," IEEE Transactions on Instrumentation and Measurement, vol. 73, p. 4502908, 2024.

9. J. Han^#, P. Sun^#, Q. Sun, Z. Xie, L. Xu, X. Hu, and J. Ma*, "Quantitative ultrasound parameters from scattering and propagation may reduce the biopsy rate for breast tumor," Ultrasonics, vol. 138, p. 107233, 2024.

10. Y. Cai, L. Xu, T. Zhang, D. Suo, and J. Ma*, "Ultrasound transducers with both imaging and power output capabilities by anti-matching at backing layers," Applied Physics Letters, vol. 124, no. 7, p. 072201, 2024.

11. Lead Editor of the digital textbook Scientific Writing and Reporting

12. Co-Editor of the digital textbook Imaging Technology