Tin Kam Ho  Tin Kam Ho photo         

contact information

Senior AI Scientist
Thomas J. Watson Research Center, Yorktown Heights, NY USA


Professional Associations

Professional Associations:  Fellow, IEEE  |  Fellow, International Association of Pattern Recognition


I came to IBM in 2014, and since then have focused on research and development in natural language processing.  My work in semantic analysis found applications in conversational systems, question answering, and knowledge discovery in Watson, later, in clinical text summarization in Watson Health.  At present I am working on generative AI technologies for hybrid cloud in IBM Research.

I was with Bell Labs in 1992-2014, as a Distinguished Scientist and Head of the Department of Statistics and Learning Research.  With the team I pursued many data analysis topics in telecommunication, including network monitoring and diagnostics, wireless geolocation, video surveillance, smart grid demand forecasting, telecom user profiling, recommender systems, and customer experience analysis.    Before, I worked on image recognition, multilingual reading machines, data analysis in astronomy, as well as simulation, control, and monitoring of continental-scale fiber optic networks.

Over my career I have developed many methods in artificial intelligence.   I seek to discover and represent knowledge embedded in large, high-dimensional data sets by algorithmic processes. More specifically, I design methods for natural partitioning of data, systematic search for correlations, characterizing complexity of dependences, generation and evaluation of feature transformations, dynamic adaptation of established models, and above all, classification. On classification, I pioneered methods for multiple classifier systems (a.k.a. ensemble learning), random decision forests, and later, data complexity analysis. On a broader theme, I explored methods and tools for interactive data visualization and analysis, computational modeling and simulation of complex systems, and the interaction between these approaches for scientific and engineering discovery.

I served as Editor-In-Chief for Pattern Recognition Letters in 2004-2010, and as Editor or Associate Editor for several other journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, and International Journal on Document Analysis and Recognition.  In 2020 I was named a Master Inventor at IBM.