ZKTeco Team

Management Team Expert Team

Because of dream, experts from various fields are here together and form a management core team of ZKTeco

Anil K. Jain

ZKTeco’s Chief Honorary Scientist

• 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

Ken Brownlee

ZKTeco’s Chief Biometric Scientist

• 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

US Silicon Valley Innovation Center Team

ZKTeco’s Innovation Center

ZKTeco has founded an Innovation Center in Silicon Valley. Its expert team consists of scientists from high-tech companies such as Apple, Google and Cisco. Researches include contactless biometrics, deep learning platform, AI platform and international cloud infrastructure. Members of the innovation team have been devoted to their specialized fields for many years, gaining rich R&D and allocation experiences.

Richard Chen

Chief of ZKTeco’s Central Biometric Research Center

• 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

David Li

ZKTeco’s CTO

• 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