Dr. Kun-Lung Wu is a member of the Software Tool and Techniques Group at the T. J. Watson Research Center. The current focuses of the group include the development of advanced algorithms and optimization techniques for stream data analyses, stream data mining, machine learning, anomaly detection and personalization, and the enabling of Web technologies to facilitate E-commerce and pervasive computing.

Dr. Wu's research interests include algorithms and systems for stream data processing, query indexing, rule monitoring/indexing, location-aware mobile services, filtering of XML document streams, various aspects of autonomic computing, Internet technologies and applications, database systems, pervasive computing, and multimedia systems. He has published extensively in various journals and refereed conferences. He also holds or has applied for many patents.

Since 2000, Dr. Wu has been an Associate Editor for IEEE Transactions on Knowledge and Data Engineering. He also served as an organizing or program committee member of various conferences and workshops. He has received various IBM awards, including an IBM Corporate Environmental Affair Excellence Award. He is a Master Inventor for IBM Research Division. He is a member of the ACM and IEEE Computer Society.

Kun-Lung Wu received his B.S. degree in Electrical Engineering from the National Taiwan University, Taipei, Taiwan, and the M.S. and Ph.D. degrees in Computer Science, both from the University of Illinois at Urbana-Champaign.