Design issues on data streams have recently attracted a lot of attention in the database and information retrieval community, partially due to the popularity of the Internet. We are interested in working on a number of research problems in data streams, which include (i) querying data streams by developing systems where newly arriving data is processed and continuously streams to the user in real-time, (ii) scheduling by creating different query plan operators in order to progressively moving tuples through query plans and producing query results, and (iii) load shredding to handle overload, either as a result of static or dynamic analysis, to reduce the volume of tuples to be processing. Besides the data streams problems listed above, we are also interested in (and have been working on) the following research projects: (a) Web query processing, (b) clustering Web documents according to their contents, and (c) enhancing existing Web search engines in information retrieval and data extraction.