Laks V.S. Lakshmanan


Office Phone #

Academic Information

B.Eng., A.C. College of Eng. & Tech., Karaikudi (1981), M.Eng. & Ph.D., Indian Institute of Science, Bangalore (1983 & 1987), Postdoctoral Fellow, University of Toronto, Toronto (1987-89), Assistant Professor, Concordia University, Montreal (1989-94), Associate Professor, Concordia (1994-), Visiting Professor, Indian Institute of Technology - Bombay (1998-2001), Professor, University of British Columbia (2001-).


As the world we live in is getting more and more networked, the need to understand, manage, and harness the data on the web is becoming critical. While data in traditional databases tends to be highly structured, with a clear notion of schema, data on the web is loosely structured (also called semi-structured), or worse, unstructured, and is often not accompained by any clear notion of schema. What does it mean to query this data? What do you look for when you mine this data? If there are several data sources containing related information, how do you combine the information in them to answer queries involving them all? How can you index such data for efficient storage and retrieval? What do you do when the data you want to analyze is not stored some place but is streaming through? My research over the past few years has been concerned with addressing these questions. I am also interested in newer applications which challenge the foundations and technology of databases. A good example is bioinformatics.

Selected Publications

H.V. Jagadish, Laks V.S. Lakshmanan, and Divesh Srivastava, TAX: A Tree Algebra for XML, In Proc. of Int. Workshop on Database Programming Languages (DBPL'01), Roma, Italy, September 2001.

Sihem Amer-Yahia, SungRan Cho, Laks V.S. Lakshmanan, and Divesh Srivastava, Minimization of Tree Pattern Queries, ACM SIGMOD 2001, San Diego, CA, June 2001.

Theodore J. Johnson, Laks V.S. Lakshmanan, and Raymond T. Ng, The 3W Model and Algebra for Unified Data Mining, Proc. Int. Conf. on Very Large Databases (VLDB'00), Cairo, Egypt, September 200, pp. 21-42.

Laks V.S. Lakshmanan, Fereidoon Sadri, and Subbu N. Subramanian, SchemaSQL: An Extension to SQL for Multi-database Interoperability, to appear in: ACM Trans. on Database Systems, December 2001.

Research Interests

data management and mining

Research Groups

DMM: Data Management and Mining Lab
CAIDA: Centre for Artificial Intelligence Decision-making & Action

Latest Courses

2020 Winter

CPSC 404 - Advanced Relational Databases

2018 Winter

CPSC 404 - Advanced Relational Databases
CPSC 534L - Topics in Data Management

2017 Winter

CPSC 304 - Introduction to Relational Databases
CPSC 534L - Topics in Data Management