Geetika T. Lakshmanan
Location: (Cambridge, MA)
Personal Research Web Page: http://domino.research.ibm.com/comm/research_people.nsf/pages/gtlakshm.index.html
Keywords: Data Mining, Information Retrieval, Data Integration, Data Analytics, Data Discovery, Web Services, SOA, Social Computing, Theory, Algorithms, Data Provenance, Business Process Management, Information Visualization, Graph Theory, Machine Learning.
Posted on: Friday, June 5th, 2009
Broad Research Area: AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining, Graphics / Visualization, Information Systems / Information Science
Research Interests:
My current research is focused broadly on designing and implementing novel algorithms for data mining, analytics and discovery in the context of applications including but not limited to business process management, web services, service oriented architecture, and social networking (blogosphere, twitter, facebook, second life etc). I am also interested in scalable and versatile solutions for data provenance, and data management. I am investigating how data analytics and discovery algorithms can leverage provenance to provide more effective results. I also consider whether the data sources are distributed and owned by different entities which leads to the problem of data integration. Another aspect of my research explores visualization of mined data and addresses adaptive and versatile solutions for simplification detail in the mined results. These projects allow the opportunity to apply existing techniques and develop new techniques in fields such as artificial intelligence, machine learning, matrix factorization, graph theory, computer graphics and other disciplines.
