• Outstanding professor in the Department of Computer Science & Engineering of Michigan State University

• Member of various famous international academic organizations such as ACM, IEEE, AAAS, IAPR, SPIE

• Elected to enter United States National Academy of Sciences (NAS) in 2016

• One of the most important scholars in the fields of pattern recognition, computer visual and biometric recognition

• Editor-in-Chief of the IEEE Trans, Pattern Analysis and Machine Intelligence Journal

• Won King-Sun Fu Prize, Guggenheim, Humboldt, Fulbright, IAPR Senior Biometrics Investigator Award, IEEE Computer Society Technical Achievement Award, IEEE W. Wallace McDowell Award

• Author of Introduction to Biometrics, Handbook of Biometrics, Handbook of Multibiometrics, Handbook of Face Recognition, Handbook of Fingerprint Recognition, Markov Random Fields: Theory and Applications, and Algorithms For Clustering Data

• Graduate of Yale University with six awarded patents

• CEO of Silk ID Systems Inc., a joint venture company with ZKTeco

• Served as a VP Hardware Engineering, VP Operations, and CTO for Digital Persona

• Served as the chief designer of Digital Persona's U.are.U Fingerprint Readers as well as the Microsoft Fingerprint Reader

• Under Brownlee's leadership, Silk ID has designed the fingerprint reader for ZKTeco's Live ID and Green Label products.  Silk ID is developing the next generation of biometric technologies including anti-spoof and contactless readers

•  Graduated from the discipline of Application in Mathematics in Lanzhou University, and started researching in algorithms such as computer image processing and pattern recognition

•  One of the earliest researchers who studies face recognition algorithm

•  Inventor of ZKTeco’s self-developed fingerprint, face, finger vein, palm vein, and iris recognition algorithm, who owns various national and international patents

•  Recently concentrated on researching on application of biometric characteristic recognition and AI

•  Expert committee member of SAC/TC100/SC2, and expert of the Biometric Recognition Application Group of China Security & Protection Industry Association (CSPIA), participating in the organization and review standardized by the government regarding fingerprint and face recognition

•  Awarded the master degree of Foundations of Mathematics from the Lanzhou University

•  With abundant research and application experience in various biometric recognition technologies including fingerprint, face, finger vein, palm and iris recognition. Various research outcomes have been awarded national or international patents

•  Responsible for overall formulating development direction of technology and R&D strategy, setting strategic development of internet cloud platform and IoT platform based on security and time management

• Takes charge of the technology innovation and pre-development of core biometric products, and the design and development of central platform hardware/firmware system technical architecture

• Takes charge of developing single and multiple modals of image collecting device based on fingerprint, NIR face, finger vein, palm and iris, which are applied to a wide range of products and granted various international PCT patents and national patents