[2018-06-04] Dr. Ching-Yung Lin, Graphen CEO 暨哥倫比亞大學兼任教授 , ”新一代的AI技術發展及其在金融科技上的應用”

Poster:Post date:2018-05-24

Title: 新一代的AI技術發展及其在金融科技上的應用

Date: 2018-06-04 10:30 am-11:30 am

Location: R102, CSIE

Speaker: Dr. Ching-Yung Lin, Graphen CEO 暨哥倫比亞大學兼任教授

Hosted by: Prof. Winston Hsu



 Artificial Intelligence technologies quickly evolve. Inspired by the human brain being a graph of billions of nodes and trillions of edges, we have been focusing on the R&D of achieving AI through novel graph computing foundations since mid 2000s. By graph structure, computers can better emulate the full function of human brains, including memory, sensing, recognition, perception, comprehension, and strategy. In New York, the financial capital of the world, our talents of AI and Finance meet and mix to build an AI Fintech platform and novel solutions for core-banking monitoring, loan risk prediction, anti-money laundering, AI-enabled regulation and compliance, fraud detection, market intelligence, AI trading, etc. I am going to share our R&D experience in this talk.


Dr. Lin received his BS and MS from NTU EE in 1991 and 1993 respectively and his PhD from Columbia University in 2000. He was elected to IEEE Fellow in Nov 2011. Before starting a new company, Graphen, Inc. in 2017, he was with IBM T. J. Watson Research Center for 17 years. Dr. Lin was the IBM Chief Scientist, in the area of Graph Computing, and an IBM Distinguished Researcher. He created the Department of Machine Intelligence and Network Science in IBM Research. He has been an Adjunct Professor at Columbia University since 2005 and an Affiliate Professor at the University of Washington 2003-2009 and an Adjunct Professor at NYU in 2014. He is an author of 180+ publications, 7 best paper awards and ~40 awarded patents, with 9,000+ citations and H-index of 50. He led to create IBM’s first AI product in the financial industry in 2015. From 2011 to 2016, he led a large US government’s cognitive security project which aims at human behavior understanding and pre-crime detection.  He also led a team of 40+ researchers from Columbia University, CMU, Northeastern Univ., Northwestern Univ., UC Berkeley, Stanford Research Institute, Rutgers Univ., Univ. of Minnesota, and NMU in the then largest US social media analysis research project, 2012-15.

Dr. Lin was invited by the President of the American Medical Association as a panelist in 2015, together with the White House Chief Data Scientist, to discuss the impact of Big Data in Healthcare. He was also invited by FBI, Federal Reserve, European Central Bank, FINRA, and several worldwide governments and banks as a keynote or plenary speaker. In 2003, he initiated and led 111 researchers in 23 worldwide institutes to make the first-ever task to pave the foundation of Machine Learning of Computer Vision Recognition. His “Big Data Analytics” course in Columbia University has created more than 400 big data open source projects and is the Top 1 search result of Baidu search on Big Data Analytics. His work was featured 4 times by the BusinessWeek magazine, including being the Top Story of the Week in May 2009. In 2010, IBM Exploratory Research Career Review selected Dr. Lin as one of the five researchers "most likely to have the greatest scientific impact for IBM and the world.” Headquartered in New York, Graphen, Inc. currently has branches and subsidiaries in Taipei, Hong Kong, Beijing, Singapore, and Austin.



Last modification time:2018-05-24 AM 9:46

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