Age, Biography and Wiki
John Yen was born on 14 October, 1958 in Hsinchu, Taiwan, is a Taiwanese Professor of Data Science. Discover John Yen's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 65 years old?
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Age |
65 years old |
Zodiac Sign |
Libra |
Born |
14 October, 1958 |
Birthday |
14 October |
Birthplace |
Hsinchu, Taiwan |
Nationality |
Taiwan
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We recommend you to check the complete list of Famous People born on 14 October.
He is a member of famous Professor with the age 65 years old group.
John Yen Height, Weight & Measurements
At 65 years old, John Yen height not available right now. We will update John Yen's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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Not Available |
Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
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Not Available |
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John Yen Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is John Yen worth at the age of 65 years old? John Yen’s income source is mostly from being a successful Professor. He is from Taiwan. We have estimated John Yen's net worth, money, salary, income, and assets.
Net Worth in 2024 |
$1 Million - $5 Million |
Salary in 2024 |
Under Review |
Net Worth in 2023 |
Pending |
Salary in 2023 |
Under Review |
House |
Not Available |
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Not Available |
Source of Income |
Professor |
John Yen Social Network
Timeline
John Yen is Professor of Data Science and Professor-in-Charge of Data Science in the College of Information Sciences and Technology at Pennsylvania State University.
He currently leads the Laboratory of AI for Cyber Security at Penn State.
He was the founder and a former Director of the Cancer Informatics Initiative there.
Yen's current research goals are (1) using AI and big data to address challenges in cybersecurity, facilitated by scalable analytics and machine/deep learning, and developing theories and methods to model,
simulate, and predict the behaviors and impacts of cyber attacks using distributed machine learning in cloud,
(2) advance the frontier of Artificial intelligence by solving grand challenges in cybersecurity.
Yen has been a Principal investigator or co-Principal investigator of several multimillion-dollar research projects.
Sponsors of his research projects include National Science Foundation, Army Research Office, Office of Naval Research, and Department of Energy.
He is the lead inventor of a novel Artificial Intelligence architecture R-CAST, which empowers AI (agents) with a computational representation of a shared mental model, inspired by Recognition-primed decision, for supporting decision making of a human-AI team with advanced AI capabilities such as anticipating information needs of teammates (human or AI) based on the current decision making context, and proactively offering relevant information to the teammate who needs it.
This AI technology, developed with research funding from Army Research Lab, has been granted
a U.S. patent and successfully applied to a real-world dynamic cyber-physical domain.
Yen received his B.S. degree in Electrical Engineering from National Taiwan University in 1980, and M.S. degree in Computer Science from University of Santa Clara in 1982.
Yen received his Ph.D. in computer science from the University of California, Berkeley in 1986.
His thesis advisor is Prof. Lotfi A. Zadeh, the father of fuzzy logic.
Between 1986 and 1989, he was the main architect at USC Information Sciences Institute (ISI) for an AI architecture that pioneers a knowledge-level integration of a descriptive logic knowledge representation scheme with production rules.
Yen received the National Science Foundation Young Investigator Award in 1992.
Before joining IST in 2001, he was a Professor of Computer Science and the Director of Center for Fuzzy Logic, Robotics, and Intelligent Systems at Texas A&M University.
He was the Vice President of Publication for IEEE Neural Networks Council, now IEEE Computational Intelligence Society.