2016 - Fellow of the American Association for the Advancement of Science (AAAS)
2012 - IEEE Fellow For contributions to large-scale data management in distributed and networked systems
2011 - ACM Fellow For contributions to distributed data management systems.
2010 - ACM Distinguished Member
2008 - ACM Senior Member
Divyakant Agrawal mainly focuses on Database, Scalability, Distributed computing, Data mining and Cloud computing. His Database study focuses on Database transaction in particular. His Scalability research is multidisciplinary, relying on both Data management, Reliability, Cache and The Internet, World Wide Web.
His Distributed computing research incorporates elements of Tree, Wireless sensor network and Protocol. The Data mining study combines topics in areas such as Data set and k-nearest neighbors algorithm. His Cloud computing research includes elements of Web application and Data science.
Divyakant Agrawal spends much of his time researching Distributed computing, Database, Scalability, Data mining and Cloud computing. His Distributed computing study incorporates themes from Serializability, Protocol and Concurrency control. The concepts of his Database study are interwoven with issues in World Wide Web and Cache.
The various areas that Divyakant Agrawal examines in his Scalability study include Data management, Computer security, The Internet and Computer network, Server. He has included themes like Theoretical computer science and Information retrieval in his Data mining study. His work in Data warehouse addresses issues such as Data cube, which are connected to fields such as Online analytical processing.
Divyakant Agrawal mostly deals with Distributed computing, Scalability, Cloud computing, Database transaction and Database. His studies deal with areas such as Distributed transaction, Data management, Concurrency control and Online transaction processing as well as Distributed computing. His Scalability study combines topics from a wide range of disciplines, such as Replication, Computer security, Cryptography, Online analytical processing and Server.
His biological study spans a wide range of topics, including Set and Protocol. As a member of one scientific family, Divyakant Agrawal mostly works in the field of Database transaction, focusing on Blockchain and, on occasion, Confidentiality and Cryptocurrency. His work on Data structure expands to the thematically related Database.
Divyakant Agrawal focuses on Database transaction, Scalability, Database, Distributed computing and Transaction processing. His research in Database transaction intersects with topics in Commit and Blockchain. His Scalability study combines topics in areas such as Online analytical processing, Data mining, Data cube and Relational database management system.
His research ties Cloud computing and Database together. His Distributed computing research is multidisciplinary, incorporating elements of Confidentiality and Online transaction processing. His work on Distributed transaction as part of general Transaction processing study is frequently connected to Logging, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Limiting the spread of misinformation in social networks
Ceren Budak;Divyakant Agrawal;Amr El Abbadi.
the web conference (2011)
Big data and cloud computing: current state and future opportunities
Divyakant Agrawal;Sudipto Das;Amr El Abbadi.
extending database technology (2011)
Efficient computation of frequent and top-k elements in data streams
Ahmed Metwally;Divyakant Agrawal;Amr El Abbadi.
international conference on database theory (2005)
Medians and beyond: new aggregation techniques for sensor networks
Nisheeth Shrivastava;Chiranjeeb Buragohain;Divyakant Agrawal;Subhash Suri.
international conference on embedded networked sensor systems (2004)
Advanced transaction models in workflow contexts
G. Alonso;D. Agrawal;A. El Abbadi;M. Kamath.
international conference on data engineering (1996)
A game theoretic framework for incentives in P2P systems
C. Buragohain;D. Agrawal;S. Suri.
international conference on peer-to-peer computing (2003)
Meghdoot: content-based publish/subscribe over P2P networks
Abhishek Gupta;Ozgur D. Sahin;Divyakant Agrawal;Amr El Abbadi.
acm ifip usenix international conference on middleware (2004)
An efficient and fault-tolerant solution for distributed mutual exclusion
Divyakant Agrawal;Amr El Abbadi.
ACM Transactions on Computer Systems (1991)
Efficient view maintenance at data warehouses
D. Agrawal;A. El Abbadi;A. Singh;T. Yurek.
international conference on management of data (1997)
Dimensionality reduction for similarity searching in dynamic databases
K. V. Ravi Kanth;Divyakant Agrawal;Ambuj Singh.
international conference on management of data (1998)
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