
Tomasz Imielinski
· ProfessorRutgers University · Computer Science
Active 1980–2021
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About
Tomasz Imielinski is a professor in the Department of Computer Science at Rutgers University. He has been recognized as one of the top ten most influential scholars in database by AMiner in 2016. Professor Imielinski has received the Grossman Innovation Prize and the Tadeusz Sendzimir Applied Science Award for his contributions. His research group focuses on Intelligent Systems, and he has been involved in notable projects and collaborations, including the founding of Articker, which was covered in Forbes. His work spans various aspects of data science, intelligent systems, and database research, contributing significantly to the field.
Research topics
- Computer Science
- Information Retrieval
- Economics
- Political Science
- Mathematics
- Mathematical analysis
- Mathematical optimization
- Law
- Financial economics
- Combinatorics
Selected publications
2003-01-02 · 76 citations
articleSenior authorMobility of users and services and its impact on data replication and migration will be one of the main technical problems to be resolved. In fact, the authors view mobility as probably the most challenging new issue facing distributed systems of the future. The distinct new element which mobility brings into the issues of data replication is system's uncertainty about its own state (meaning primarily location). Thus the cost of communication between two mobile users is dependent not only on the…
2005-04-06 · 62 citations
articleTraffic congestion has become a part of daily life for most of us. One possible way of preventing congestion from building up is by disseminating traffic information. Today a number of commercial solutions exist for disseminating traffic information (e.g., Traffic.com, Metrocommute, Etak-Traffic). However, these solutions are plagued by prohibitive deployment and maintenance cost that prevents widespread deployment. As an alternative, solutions based on peer-to-peer architecture have been propos…
Using buddies to live longer in a boring world
2006-03-30 · 39 citations
articleOpen accessIn a sensor network monitoring natural environment, the readings of sensor nodes show high temporal and spatial correlation. This stems from the fact that most characteristics of natural environment (chemical concentration, temperature, humidity, pollution, etc.) do not change abruptly in space and time. From a sensor's perspective then, the environmental phenomena are quite predictable, and hence, "boring". In this paper, we introduce the novel idea of buddies to exploit temporal correlation. W…
Introduction to Mobile Computing
2007-08-26 · 38 citations
book-chapter1st authorCorrespondingLocation Management for Networks with Mobile Users
2007-08-26 · 16 citations
book-chapterSenior author
Frequent coauthors
- 21 shared
Witold Lipski
Neurological Surgery
- 18 shared
B. R. Badrinath
Sathyabama Institute of Science and Technology
- 12 shared
Samir Goel
Google (United States)
- 9 shared
Kumar V. Vadaparty
Case Western Reserve University
- 7 shared
Aashu Virmani
Rutgers, The State University of New Jersey
- 7 shared
Julio C. Navas
Siemens (United States)
- 6 shared
S. Viswanathan
- 6 shared
Arding Hsu
Siemens (United States)
Labs
Intelligent SystemsPI
Education
Ph.D., Computer Science
Rutgers, The State University of New Jersey
Awards & honors
- Grossman Innovation Prize
- Tadeusz Sendzimir Applied Science Award
- Top ten 2016 most influential scholars in database by AMiner
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