Dr. Ching-Yung Lin is an IBM Distinguished Researcher & Chief Scientist, Graph Computing Research. He has been with IBM Research since 2000, after receiving his Ph.D. from Columbia University in Electrical Engineering. Lin is also an Adjunct Professor in Columbia University since 2010 and in New York University (NYU) since 2014. He was an Affiliate Assistant/Associate Professor in the University of Washington from 2003 to 2009, and an Adjunct Associate Professor in Columbia University from 2005 to 2007.
His interest is mainly on fundamental research of large-scale multimodality signal understanding, network graph computing, and computational social & cognitive sciences, and applied research on security, commerce, and collaboration. Since 2011, he has been leading a team of more than 40 Ph.D. researchers in worldwide IBM Research Labs (Watson, Almaden, Cambridge, Austin, India, China, Brazil, Australia, etc) and more than 20 professors and researchers in 9 universities (Northeastern, Northwestern, Columbia, Minnesota, Rutgers, CMU, New Mexico, USC, and UC Berkeley). He is currently the Principal Investigator of three external funded ($21.4M) Big Data projects: DARPA Anomaly Detection at Multiple Scales (ADAMS), DARPA Social Media in Strategic Communications (SMISC), and ARL Social and Cognitive Network Academic Research Center (SCNARC). He leads an IBM major intiative on Graph Computing for Linked Big Data called IBM System G.
Lin was elevated to IEEE Fellow for "contributions to network science and multimedia security and retrieval" in Nov 2011. He was the first IEEE fellow cited for contribution to Network Science.
His team focuses on all aspects of large-scale Graph Computing -- graph database, high performance computing graph infrastructure, network graph analysis and graphical models library, and graph visualization. The goal is to create innovative foundation to solve the biggest challenge of Big Data when data are dependent. It is applied to (1) Social/Economic Networks (2) Information/Knowledge Networks (3) Natural/Bio/Cognition/Brain Networks and (4) Communication/Mobile Networks. On Social Cognitive Analytics, the team's focus is on machine-based people understanding for Cognitive Security, Social Analytics, Behavioral Analytics, Neuron Network Analytics, and Audio-Visual Sensing Analytics. His team is consisted of researchers with backgrounds of Signal Processing, Network Science, Machine Learning, Information Retrieval, Natural Language Processing, High Performance Computing, Visualization, Economics, Database, etc.
Lin invented and created the SmallBlue system, an IBM effort for Enterprise Social Network Analysis, Expertise Search, and Knowledge Recommendation. SmallBlue has been featured in more than 120 press articles and were featured 4 times in BusinessWeek, including being the Top Story of the Week in April 2009. SmallBlue helped IBM Corporation won the 1st place in 2012 Most Admirable Knolweldege Enterprise (MAKE) Award in enterprise-wide collaboration knowledge-sharing environment. In May 2013, SmallBlue was selected by APQC, the World Leader in Knowledge Sharing Benchmarking and Practices, as the Industry Leader and Best Practice in Expertise Location. In October 2013, SmallBlue was recognized as having made $100M+ productivity contribution to IBM.
Lin's Cognitive Security system (ADAMS) focuses on anomaly detection and has the best performance in the latest program review in October 2013. It has been used for insider threat detection such as espionage, sabotage, or fraud detection. Another system -- SMISC focuses on social media monitoring, forensics, and predictive analysis, and has 25 research threads on various aspects of social media analysis.
Ching-Yung is an author of 160+ publications and 19 awarded patents (~6000 citations, h-index 41, 1st-author citations: 3000+). In 2010, IBM Exploratory Research Career Review selected Dr. Lin as one of the five researchers "mostly likely to have the greatest scientific impact for IBM and the world.”
He is teaching "Big Data Analytics" course in Columbia University in Fall semesters and "Complex Social and Cognitive Analytics" course in NYU in Spring semesters. In the course evaluations of the last 4 years, in total, 53% of the students rated Prof. Lin's overall teaching as 'excellent' and 28% rated 'very good'. In a 1-5 scale, the mean was 4.25 and the median was 5.
In 2003, Lin created and led 111 researchers in 23 worldwide research institutes for the first large-scale collaborative video semantic annotation project. In 2005, he pioneered the design of a semantic filtering framework which detects more ~150 visual concepts in videos. His multimedia semantic mining project team performed best in the annual US National Institute of Standards and Technology (NIST) semantic video concept detection benchmarking 2002-2004. He also pioneered the design of video/image content authentication systems and a watermarking system surviving print-and-scan process.
He has been serving as panelist, technical committee member, and invited speaker at various IEEE/ACM/SPIE conferences, National Science Foundation (in U.S. and Hong Kong), and U.S. government. He is the Chair of IEEE CAS society Multimedia Systems and Applications Technical Committee 2010-2011 and the General Chair of IEEE Intl. Conf. on Multimedia & Expo (ICME) 2009. He is also the founding steering committee chair of ACM SIG Health Informatics IHI 2010-2012. He is a keynote speaker at Web 2.0 Expo conference in 2009, the Editor of the Interactive Magazines (EIM) of the IEEE Communications Society 2004-2006, an associate editor of the IEEE Trans. on Multimedia 2004-2007, and an editorial board member of Journal of Visual Communication and Image Representation 2005-2009. He is a guest editor of (1) the Proceedings of the IEEE Special Issue on Multimedia Security, June 2004, (2) EURASIP Journal of Applied Signal Processing Special Issue on Visual Sensor Networks, September 2006, (3) IEEE Trans. on Multimedia, Special Issue on Communities and Media Computing, April 2009, (4) IEEE Journal on Selected Areas in Communications (JSAC) Special Issue on Network Science, June 2013, and (5) Journal of Multimedia Special Issue on Social Multimedia Computing, Jan 2014. He was a Technical Program co-chair of IEEE ITRE 2003. He represented IEEE CAS society in the Steering Committee of IEEE Trans. on Multimedia (2010-2011) and represents CAS in the founding Steering Committee of IEEE Trans. on Network Science and Engineering (2013-).
Lin is a recipient of 2003 IEEE Circuits and Systems Society Outstanding Young Author Award, IBM Invention Achievement Awards in 2001, 2003, 2007, 2010 and 2011 & 2013, IBM Research Division Award 2005 & 2013, IBM Corporate Outstanding Innovation Award 2011 & 2013, Association of Information Systems (AIS) ICIS 2011 Best Theme Paper Award, Acer Best EECS Thesis Award 1993, and the Outstanding Paper Award in CVGIP 1993. His team won the Best Paper Awards in ACM International Conference on Knowledge and Information Management (CIKM) 2012 and IEEE International Congress on Big Data (BigData) 2013.
Dr. Lin is a Fellow of IEEE, a Distinguished Lecturer of IEEE, a Director of Industrial Goverance Board of APSIPA (Asia-Pacific Signal and Information Processing Association), and a member of the Academy of Management.