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20182025

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Personal profile

Personal profile

Pham Young-wai Associate Research Fellow (Assistant Professor)
Subject: Biomedical Engineering
Direction: Medical Imaging, Minimally invasive Diagnosis and Treatment, Medical Optics
E-mail :fanyingwei@bit.edu.cn
Office Address: Room 420, Qiushi Building, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Dr. Fan Yingwei mainly focuses on the research of integrated optical minimally invasive diagnosis and treatment, biomedical optics, medical optics, medical images/signals, artificial intelligence, robot-assisted diagnosis and treatment, etc. He has developed efficient noise removal algorithms for OCT images of tumors, and combined artificial intelligence algorithms to classify tumors and normal tissues according to tumor image features. An intelligent minimally invasive diagnosis and treatment system with multi-modal optical imaging guided laser ablation was developed, which was verified by in situ brain tumor experiments in vitro and in vivo. Furthermore, the basic concept of minimally invasive optical diagnosis and treatment is proposed, the basic theory of intelligent minimally invasive optical diagnosis and treatment is initially created, and two different optical image-guided optical treatment systems are developed. The relevant research results have been selected as a cover article by the internationally renowned magazine Theranostics, and have been widely reported by Tsinghua University, National Natural Science Foundation and other related media. In future studies, the research on intelligent optical minimally invasive diagnosis and treatment will continue, in order to achieve further breakthroughs in the basic principles of intelligent optical minimally invasive diagnosis and treatment, achieve the integration of intelligent optical minimally invasive diagnosis and treatment with multi-modal optical image-guided optical treatment during surgery and be verified in clinical experiments, and gradually develop in the direction of translational medicine.
He has made some innovative work in the development of basic theories and technologies such as intelligent optical minimally invasive diagnosis and treatment, biomedical optics and laser medicine, and has made important research achievements in optical minimally invasive diagnosis and treatment and medical image processing. Up to now, he has published 36 journal papers and 21 international and domestic conference papers, including 2 cover articles and 1 highly cited journal article, 5 authorized patents and 1 registered software copyright; He has presided over 7 state-level projects (National Natural Science Foundation/Youth Science Foundation, etc.) and participated in more than 10 research projects at the national, provincial and ministerial levels and the military. As the second complete person, he won the second Prize of Science and Technology Progress Award of China Stereology Society in 2020, and accumulated more than 20 awards and honors.
https://scholar.google.com/citations?user=gHHYPGYAAAAJ&hl=en
https://www.researchgate.net/profile/Fan-Yingwei

Research Interests


Optical minimally invasive diagnosis and treatment integration, Biomedical optics, Medical Optics, Medical images/Signals, Artificial intelligence, robot-assisted diagnosis and treatment
Welcome students with (including but not limited to) electronic information, optics, medicine, computer, mechanical and other backgrounds, as well as innovative spirit, interested in scientific research to join! Welcome students with (including but not limited to) electronic information, optics, medicine, computer, materials and other backgrounds, as well as innovative spirit and interest in scientific research to join!"

Education

2014.9-2018.7 PhD, Department of Biomedical Engineering, Tsinghua University
2012.9-2014.7 Master Degree, Department of Biomedical Engineering, Northeastern University
2008.9-2012.7 Bachelor degree of Biomedical Engineering, Kunming University of Science and Technology

Professional Experience

2014.9-2018.7 PhD, Department of Biomedical Engineering, Tsinghua University
2012.9-2014.7 Master Degree, Department of Biomedical Engineering, Northeastern University
2008.9-2012.7 Bachelor degree of Biomedical Engineering, Kunming University of Science and Technology
2021.3- Now Special Associate Researcher (Assistant Professor), Master's Supervisor, Institute of Medical and Industrial Integration, Beijing Institute of Technology
2018.7-2021.2 Postdoctoral Fellow, Academy of Military Medicine, Academy of Military Sciences

Research Achievement


[1] 2020-2021 Second Prize of Science and Technology Progress Award of China Stereology Society (Second Finisher)
[2] The second prize of excellent paper of 2019 China Biomedical Engineering Conference and Innovative Medical Summit (Youth Forum, ranked 1st), 2019-2020; Award for the contributed talk in 16th Chinese Conference on Stereology and Image Analysis (Youth Forum, No. International Union of Medical and Bioengineering "Young Scientist Award" second prize (APCMBE2020, ranked 4th)
[3] 2018-2020 postdocs will be treated according to the talent introduction plan
[4] 2013-2014 Academic year Three Good Graduate Student
[5] The first prize of Liaoning Province's First Graduate Student Modeling Contest in 2012-2013 academic year, the third prize of the ninth "Huawei Cup" National Graduate Student Mathematical Modeling Contest, the second prize of TI Cup Care for Health Medical Electronics Creative Innovation Design Contest
[6] 2011-2012 academic year Provincial outstanding graduate, Provincial Merit student
[7] National Scholarship for the academic year 2010-2011
[8] Second Prize of National Innovative Experiment Competition in 2009-2010 academic year (ranked 1st)
[9] 2008-2009 National Motivational Scholarship

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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