What is he best known for?
The fields of study Sushil Jajodia is best known for:
- Database
- Operating system
- The Internet
In the field of Operating system Sushil Jajodia connects related research areas like Process (computing), Undo, Heuristics and Granularity.
With his scientific publications, his incorporates both Process (computing) and Operating system.
His study on Computer security is interrelated to topics such as Information sensitivity and Exploit.
While working on this project, Sushil Jajodia studies both Exploit and Computer security.
In his research, he undertakes multidisciplinary study on Artificial intelligence and Inference.
Sushil Jajodia performs multidisciplinary studies into Inference and Artificial intelligence in his work.
By researching both Database and Transaction processing, he produces research that crosses academic boundaries.
In his articles, he combines various disciplines, including Transaction processing and Database.
As part of his studies on Data mining, Sushil Jajodia often connects relevant subjects like Temporal database.
His most cited work include:
- Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? (484 citations)
- Dynamic voting algorithms for maintaining the consistency of a replicated database (211 citations)
- Discovering frequent event patterns with multiple granularities in time sequences (138 citations)
What are the main themes of his work throughout his whole career to date
Sushil Jajodia integrates many fields in his works, including Database and Programming language.
He conducts interdisciplinary study in the fields of Programming language and Database through his research.
He merges many fields, such as Computer security and Operating system, in his writings.
Sushil Jajodia incorporates Operating system and Computer security in his research.
He applies his multidisciplinary studies on Theoretical computer science and Algorithm in his research.
Sushil Jajodia integrates Algorithm and Theoretical computer science in his research.
He performs multidisciplinary studies into Artificial intelligence and Data mining in his work.
Data mining and Artificial intelligence are two areas of study in which Sushil Jajodia engages in interdisciplinary research.
He applies his multidisciplinary studies on Distributed computing and Computer network in his research.
Sushil Jajodia most often published in these fields:
- Database (40.54%)
- Computer security (37.84%)
- Theoretical computer science (27.03%)
What were the highlights of his more recent work (between 2007-2012)?
- Distributed computing (50.00%)
- Computer network (50.00%)
- Mechanical engineering (25.00%)
In recent works Sushil Jajodia was focusing on the following fields of study:
As part of his studies on Distributed computing, Sushil Jajodia often connects relevant areas like Multicast.
His multidisciplinary approach integrates Multicast and Source-specific multicast in his work.
His Inter-domain research extends to the thematically linked field of Source-specific multicast.
His research links Xcast with Inter-domain.
In most of his Xcast studies, his work intersects topics such as Pragmatic General Multicast.
Sushil Jajodia merges Pragmatic General Multicast with IP multicast in his research.
Sushil Jajodia conducted interdisciplinary study in his works that combined IP multicast and Protocol Independent Multicast.
His Protocol Independent Multicast study frequently links to adjacent areas such as Distributed computing.
He regularly links together related areas like Rekeying in his Computer network studies.
Between 2007 and 2012, his most popular works were:
- Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg? (484 citations)
- Detecting VoIP Floods Using the Hellinger Distance (127 citations)
- Secure Data Aggregation in Wireless Sensor Networks (97 citations)
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