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Tomasz Imielinski

Professor
Email: 
Phone: 
(848) 445-8358
Office: 
Core 330
Research Area: 
Data mining.
Search engine technology.
Data extraction
Biography: 

Tomasz Imieliński is a Professor of Computer Science at Rutgers University. 

His joint paper with Agrawal and Swami, 'Mining Association Rules Between Sets of Items in Large DataBases' initiated the Association rule mining research area, and is one of the most cited publications in computer science, with over 18,000 citations. This paper received in the 2003 - 10 year Test of Time ACM SIGMOD Awardand is included in the List of importand publications in computer science

Imieliński has also been one of the pioneers of mobile computing and for his joint paper with Badri Nath, 'Querying in highly mobile distributed environments', he and Badri Nath received 2002 VLDB Ten Year Award

He contributed the area of Geocast that deals with the delivery of information to a group of destination in a network identified by their geographical locations. It is a specialized form of multicast addressing used by some routing protocols  for mobile ad hoc networks. He explored geographic messaging, geographic advertising, delivery of geographically restricted services, and presence discovery of a service or mobile network participant in a limited geographic area, in his work with Navas, on "GeoCast - Geographic Addressing and Routing".

Imieliński's early work on 'Incomplete Information in Relational Databasesproduced a fundamental concept that became later known as Imieliński-Lipski Algebras. 

Overall, Imieliński has published over 150 papers and is an inventor and co-inventor on multiple patents ranging from search technology to web data extraction as well as multimedia processing, data mining, and mobile computing.

His papers have been cited over 34000 times  Tomasz Imieliński has been listed as #3, in the area of databases, on the AMiner Most Influential Scholars List which tracks the top researchers in computer science and engineering.

He has served as chairman of Computer Science Department at Rutgers from 1996 till 2003. In 2000 he co-founded Connotate Technologies  – web data extraction company based in New Brunswick NJ. Since 2004 till 2010 he has held multiple positions at Ask.com, from Vice president of data solutions to Executive Vice President of global search and answers and Chief Scientist. He has also served as VP of Data Solutions at IAC/Pronto.

Specialties: Data mining. Search engine technology. Data extraction.

Awards & Distinctions: 

Tomasz Imieliński's joint paper with Agrawal and Swami, 'Mining Association Rules Between Sets of Items in Large DataBases' is one of the most cited publications in computer science, with over 18,000 citations, and received in the 2003 - 10 year Test of Time ACM SIGMOD Award. It is also included in the List of important publications in computer science.

For his joint paper with Badri Nath, 'Querying in highly mobile distributed environments', Tomasz Imieliński  and Badri Nath received 2002 VLDB Tem Year Award

His papers have been cited over 34000 times  Tomasz Imieliński has been listed as #3, in the area of databases, on the AMiner Most Influential Scholars List which tracks the top researchers in computer science and engineering.

Classes Taught: 
 
 Data 101: Data Literacy is Rutgers SAS Signature class, first offered during spring 2017 semester.  It is open to all students  (not just computer science major only).   Tomasz Imieliński in collaboration with Lee Dicker has created this class with main objective of teaching all students the basics of Data Literacy, through hands-on weekly data puzzles (skills of simple R programming), data and society challenges, as well as competition for the best Prediction Cup.  In adddition,  best students are selected for the Hall of Fame data101, and can also contribute to Data 101 class blog.
 
Imielinski also teaches the database class (Principles of  Information  and Data Managment, 198:336), with competitive project being large part of the grade. Every year class ends with the finals where best projects compete for the top prize. The hall of fame of students who submitted the most creative projects  has covered classes since 2012)