Teaching and Advising Experience

Courses Taught

Fall 2009: CS 6220: Data Mining Techniques at Northeastern University

• Graduate course, approx. 40 students
• This course covers various aspects of data mining including OLAP technology, classification, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large database.

Spring 2009: CSG 339: Scalable Techniques for Massive Data at Northeastern University

• Graduate course, 14 students
• We discuss influential and cutting edge research papers from academia and industry research groups. The course also has a project requirement where students can choose a research project related to large-scale data analysis.

Fall 2007: CS/INFO 330: Data-Driven Web Applications at Cornell University

• Upper division undergraduate course, approx. 40 students
• CS/INFO 330 is taken by third and fourth-year undergraduate students. It is offered jointly by the Computer Science department and the Information Science Program. This course introduces students to modern database systems and three-tier application development with a focus on building web-based applications using database systems. Concepts covered include the relational model and query languages, data modeling, normalization, three-tier architectures, Internet data formats and query languages, server- and client-side technologies, and an introduction to web services. Students also build a database-backed website with Java EE technology.

Student Advising

Students co-advised together with a faculty member at Cornell:

• Biswanath Panda (Ph.D. student, first employment: Google), Spring 2005-Fall 2008: research on data management and mining for function approximation and model summarization
• Mingsheng Hong (Ph.D. student, first employment: Vertica), Spring 2004-Summer 2008: research on data stream processing, implementation of a system prototype
• Daria Sorokina (Ph.D. student, first employment: PostDoc at CMU), Spring 2005-Summer 2008: research on mining observational ornithology data to discover variable interactions
• Abhinandan Das (Ph.D. student, first employment: Google), Summer 2002-Summer 2005: research on data stream processing
• Tulika Chandra (MEng student, first employment: Siemens), Spring 2004: building a data mining Web Service