Associate Professor Xin Yi
Subject: Biomedical Engineering
Direction: Intelligent Medical detection, medical signal processing
E-mail :ameko@bit.edu.cn
Office Address :5#708
His research direction is intelligent analysis and utilization of biomedical data, focusing on health state calculation based on physiological signals, non-contact/indirect physiological signal detection, body sensor information fusion and state identification. A series of multi-domain nonlinear feature extraction methods for biomedical signals are proposed, and combined with machine learning, they are applied to the collaborative analysis of multi-channel physiological signals and multi-source medical data, etc., to solve the indirect estimation of physiological parameters, disease identification and state prediction, signal quality assessment, complexity variability measurement, noise suppression, disease evolution and other problems. Selected into Beijing University Young Talents Program. Presided over and participated in the National Natural Science Foundation, participated in the key research and development plan of the Ministry of Science and Technology, innovative research groups and other topics, published more than 40 academic papers, authorized more than 10 invention patents. He won the title of Excellent Instructor of Excellent Undergraduate Graduation Design (thesis) of Beijing Ordinary universities, the sixth Diwen Excellent Teacher Award of Beijing Institute of Technology, one second prize of national teaching achievement, one first prize and one second prize of Beijing Teaching Achievement, three first prizes and one special prize of school-level teaching Achievement Award. Member of the first batch of national first-class courses and the curriculum team of the Ministry of Education's gold Expansion plan. Won the third prize of the 5th National College Blended Teaching Design Innovation Competition.

Health state calculation based on physiological signals, non-contact/indirect physiological signal detection

2002-09 to 2008-03, Ph.D., Communication and Information Systems, Department of Electronic Engineering, Beijing Institute of Technology, Supervisor: Academician Yue Wang
1998-09 to 2002-06, Communication and Information Systems, Department of Electronic Engineering, Beijing Institute of Technology, B.S.

2002-09 to 2008-03, Ph.D., Communication and Information Systems, Department of Electronic Engineering, Beijing Institute of Technology, Supervisor: Academician Yue Wang
1998-09 to 2002-06, Communication and Information Systems, Department of Electronic Engineering, Beijing Institute of Technology, B.S.
2023-06-present, Associate Professor, School of Medical Technology, Beijing Institute of Technology
2018-09 to 2023-05, Associate Professor, School of Life Sciences, Beijing Institute of Technology
2008-03-08, Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Lecturer

Won the second prize of National teaching achievements (2023), one first prize and one second prize of Beijing Excellent Education and Teaching Achievements (2022), three first prizes and one special prize of school-level teaching achievements;
He won the first prize in the Free design category of the Sixth National College Teachers' Self-made Experimental Teaching Equipment Innovation Competition, and the third prize of the fifth National College Mixed Teaching Design Innovation Competition.
Awarded the titles of Excellent Instructor of Undergraduate Graduation Design (thesis) in Beijing ordinary universities, school-level Excellent instructor of Master's thesis, Beijing Institute of Technology Young Teachers' Basic Teaching Skills Competition - Excellent Instructor, etc. Won the 6th Divan Outstanding Teacher Award.
He is a member of the national first-class curriculum and the team of the Ministry of Education's "Expansion Gold Plan", and a member of the excellent undergraduate education team of Beijing Universities for "Signal and Information Processing". The course "Digital Signal Processing" was selected as an excellent case of school-level "curriculum Ideological and political" teaching design.
Guide students to obtain:
· First Prize of National Final of China University Computer Competition - Artificial Intelligence Creativity Competition (2020)
· 2 first prizes (2021, 2016), 2 second prizes and 2 third prizes of "Population Health" Sharing Cup "College Students Science and Technology Resource Sharing Service Innovation Competition";
· National Second Prize of "Sharing Cup" College Students Science and Technology Resource Sharing Service Innovation Competition (2021);
· One first prize (2019) and one second prize (2018) of the Medical Big Data DATATHON Competition of MIT - PLA General Hospital;
· First Prize of "Boston Science Cup" Medical Big Data Innovation Competition of China International CE&HTM Conference (2016);
· Finalist Award of the Global Finals of the First China ECG Intelligence Competition in 2019 (ranking 22/545);
· Third Prize in 2020 National College Students Digital Media Technology Works and Creativity Competition;
· The 13th "Challenge Cup" Chinese College Students Entrepreneurship Plan Competition - Beijing Institute of Technology Preliminary Competition "Gold Medal" (2022)
Excellent closing project of National College Student Innovation and Entrepreneurship Training Program and selected for National Innovation Annual Meeting