Laks Lakshmanan

Laks V.S. Lakshmanan is a Professor of Computer Science at the University of British Columbia, Vancouver, BC, Canada. His research covers a wide spectrum of topics in data management and mining, including advanced data models for novel applications, OLAP and data warehousing, data integration, data cleaning, semi-structured data and XML, information and social networks and social media, recommender systems, personalization, knowledge graphs, and fake news detection and mitigation. His publications appear in top-tier venues in these areas and he has served on the program and senior program committees of top-tier conferences in these areas, as well as on the editorial board of the VLDB Journal. He is an ACM Distinguished Scientist and currently serves on the editorial board of Distributed and Parallel Databases and Information Systems. His paper on concise representation and exploration of medical trajectories, in collaboration with colleagues, won the Best Research Paper Award at the IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018).