Prof. Zhang Wenli | Computer Vision | Excellence in Research Award

Prof. Zhang Wenli | Computer Vision | Beijing University of Technology | China

Dr. Wenli Zhang is a distinguished scholar and innovative technology leader currently serving as a Professor in the Faculty of Information Technology at Beijing University of Technology, recognized for impactful contributions in signal and information processing, artificial intelligence, computer vision, 3D point cloud processing, unmanned aerial vehicle inspection technology, and brain-computer interfaces, positioning Dr. Wenli Zhang as a key figure advancing intelligent sensing and human-machine interaction research in China and globally. Building a strong academic foundation through advanced studies in computer science and informatics in both China and Japan, Dr. Wenli Zhang earned a Ph.D. in Engineering from the University of Tokyo, where a passion for applied research and innovation in intelligent systems was further strengthened. Prior to joining academia in China, Dr. Wenli Zhang developed extensive industrial innovation experience as Chief Researcher at Panasonic Corporation’s Tokyo Research Institute, driving real-world AI and vision-based solutions for next-generation automated applications. In her current role, Dr. Wenli Zhang leads interdisciplinary research that spans multiple sectors including smart agriculture, UAV-based intelligent inspection, and medical rehabilitation, effectively bridging fundamental theories with emerging societal needs and technological transformation. With strong collaboration networks and a commitment to promoting scientific excellence, Dr. Wenli Zhang serves actively in influential professional roles, including council member of the Beijing Interdisciplinary Science Society and committee member of the Innovation Engineering Branch of China Creative Studies Institute, contributing leadership within China’s innovation and engineering communities. Skilled in advanced algorithm development, intelligent visual perception, sensor network data fusion, and neural signal decoding, Dr. Wenli Zhang empowers her research team to develop practical systems that enhance automation, sustainability, and accessibility across industries. Her exceptional commitment to teaching and mentorship has earned her the prestigious “Distinguished Teacher” recognition at Beijing University of Technology, reflecting her dual dedication to academic excellence and student success.

Professional Profiles: ORCID

Selected Publications:

Jiang, K., Guo, W., & Zhang, W. (2025). Amodal Segmentation and Trait Extraction of On-Branch Soybean Pods with a Synthetic Dual-Mask Dataset. Sensors.
Zhang, W., Peng, X., Bai, T., Wang, H., Takata, D., & Guo, W. (2024). A UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees. Remote Sensing.
Zhang, W., Peng, X., Cui, G., Wang, H., Takata, D., & Guo, W. (2023). Tree Branch Skeleton Extraction from Drone-Based Photogrammetric Point Cloud. Drones.
Li, Y., Liu, B., & Zhang, W. (2024). Driving-Related Cognitive Abilities Prediction Based on Transformer’s Multimodal Fusion Framework. Sensors.
Pang, G., Liu, B., & Zhang, W. (2025). Cloud Rehabilitation System Based on Automatic sEMG Signal Processing. Book Chapter.
Zhai, R., Gao, Y., Li, G., Ding, Q., Zhang, Y., & Zhang, W. (2025). Control System for Rehabilitation Bionic Hand Based on Precise Control Algorithms.
Wang, Y., Pang, G., Liu, B., Li, Y., & Zhang, W. (2025). Gesture Recognition Method Based on Hybrid Classifier Under Non-ideal Conditions.

Assist. Prof. Dr. Seo Young Park | Radiology | Best Researcher Award

Assist. Prof. Dr. Seo Young Park | Radiology | Kyungpook National University | South Korea

Assist. Prof. Dr. Seo Young Park is a distinguished radiologist and academic researcher at Kyungpook National University Hospital, Republic of Korea, specializing in diagnostic imaging, radiological sensing, and image-guided interventions. She earned her Ph.D. in Radiological Sciences from a leading Korean university, where her doctoral work centered on the integration of advanced imaging modalities for improved disease detection and clinical decision-making. Dr. Seo Young Park possesses a strong professional background in radiology, with expertise spanning breast imaging, PET/CT diagnostics, and interventional radiology. She has been actively engaged in translational research that bridges medical imaging, sensor-assisted diagnostics, and image processing, contributing significantly to the advancement of clinical radiology practices. Her professional experience encompasses hospital-based research collaborations, imaging-based case studies, and mentorship roles that enhance both academic and clinical communities. Dr. Park’s research interests include the development of ultrasound and MRI-based sensing systems, radiomics, and the diagnostic application of artificial intelligence in oncology imaging. Her research skills encompass diagnostic image analysis, contrast-enhanced ultrasonography, PET/CT scanning, 3D imaging reconstruction, and case-based clinical assessment, which have led to a series of high-quality publications in peer-reviewed international journals. She has authored and co-authored more than 13 research papers indexed in Scopus, PubMed, and IEEE Xplore, with publications in leading journals such as Ultrasonography, Diagnostics, Journal of Breast Cancer, and Journal of the Korean Society of Radiology. Her scholarly contributions have been recognized by peers and institutions for their originality and impact on medical diagnostics. In recognition of her academic excellence and scientific contribution, Dr. Seo Young Park has received institutional honors and is an active member of professional societies including the IEEE and Korean Society of Radiology, participating in international conferences and clinical research collaborations.

Professional Profiles: ORCID

Featured Publications

Park, S. Y., & Cho, H. (2024). A solid pseudopapillary tumor arising in ovary with multiple metastasis: A case report. Investigative Magnetic Resonance Imaging. (Citations: 5)
Park, S. Y., et al. (2024). Primary invasive ductal carcinoma arising in axillary accessory breast: A case report. Journal of the Korean Society of Radiology. (Citations: 8)
Park, S. Y., et al. (2024). Diagnostic accuracy of contrast-enhanced ultrasonography for the assessment of small renal mass: A prospective study. Journal of Urologic Oncology. (Citations: 6)
Park, S. Y., et al. (2024). Clinical role of upfront F-18 FDG PET/CT in determining biopsy sites for lung cancer diagnosis. Diagnostics. (Citations: 10)
Park, S. Y., et al. (2023). A radiation-induced low-grade myofibroblastic sarcoma in the retropectoral area after breast conserving surgery: A case report. Journal of Breast Cancer. (Citations: 7)
Park, S. Y., & Jeon, G. (2023). Assessment of diagnostic performance of risk factors affecting extraprostatic extension: Role of zonal level of prostate cancer. Current Medical Imaging. (Citations: 4)
Park, S. Y., et al. (2022). Unexpected hyperechoic lesions of the breast and their correlations with pathology: A pictorial essay. Ultrasonography. (Citations: 12)