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Chowdhary, K R
M B M Engineering College
Jodhpur, India
 
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K R Chowdhary’s long career in computer science began in the 1980s, in the age of Fortran and COBOL and 8080 microprocessors, where he designed microprocessor-based data acquisition systems while working at the Bhabha Atomic Research Centre. After switching to academia, he taught computer languages, computer architectures, operating systems, computer networking, compilers, discrete mathematical structures, and theory of computation, at M.B.M. Engineering College (1985-2013), where he served as an associate professor and later professor and department head/chair.

Chowdhary also taught at Indian Institute of Technology Jodhpur (2010-2017) and Jodhpur Institute of Engineering and Technology (2014-2020), where he also served as director. He has authored two books: Fundamentals of discrete mathematical structures and Fundamentals of artificial intelligence. He is an ACM Senior Member, an IEEE Senior Member, and an Institution of Engineers (India) Fellow. His interests include natural language processing, information retrieval, and the theory of computation. He has guided five PhDs in computer science, four of which have been awarded and one is still in process.

He has been a reviewer for Computing Reviews since 2021.

 
 
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- 9 of 9 reviews

   
   Mining the semantic web
Rettinger A., Lösch U., Tresp V., D’Amato C., Fanizzi N. Data Mining and Knowledge Discovery 24(3): 613-662, 2020.  Type: Article

The semantic version of the World Wide Web (WWW), the semantic web, allows for formal reasoning and querying. It has two components: formal ontologies, which provide domain-specific knowledge, and annotations of web resources, which can be read ...

Nov 25 2022  
   Mining the semantic web
Rettinger A., Lösch U., Tresp V., D’Amato C., Fanizzi N. Data Mining and Knowledge Discovery 24(3): 613-662, 2020.  Type: Article

The semantic version of the World Wide Web (WWW), the semantic web, allows for formal reasoning and querying. It has two components: formal ontologies, which provide domain-specific knowledge, and annotations of web resources, which can be read ...

Nov 25 2022  
   Survey on mining subjective data on the web
Tsytsarau M., Palpanas T. Data Mining and Knowledge Discovery 24(3): 478-514, 2012.  Type: Article

When accessing information on the web, users not only consume the information but also comment on and actively annotate the content, which then generates new content and can also provide ratings. People express themselves on the web through blogs,...

Nov 16 2022  
   iMapReduce: a distributed computing framework for iterative computation
Zhang Y., Gao Q., Gao L., Wang C. Journal of Grid Computing 10(1): 47-68, 2020.  Type: Article

MapReduce is one of the most popular standard algorithms in distributed processing. This paper contributes to performance improvement in MapReduce, which otherwise performs low on social networking and web-based data due to iterative p...

Sep 28 2021  
   iMapReduce: a distributed computing framework for iterative computation
Zhang Y., Gao Q., Gao L., Wang C. Journal of Grid Computing 10(1): 47-68, 2020.  Type: Article

MapReduce is one of the most popular standard algorithms in distributed processing. This paper contributes to performance improvement in MapReduce, which otherwise performs low on social networking and web-based data due to iterative p...

Sep 28 2021  
   An evaluation of the cost and performance of scientific workflows on Amazon EC2
Juve G., Deelman E., Berriman G., Berman B., Maechling P. Journal of Grid Computing 10(1): 5-21, 2020.  Type: Article

Cloud computing is becoming popular for computing that requires large processing power and massive data volume. The work reported here aims to study scientific workflows on Amazon Elastic Compute Cloud (EC2). The principal goal is to s...

Sep 23 2021  
   An evaluation of the cost and performance of scientific workflows on Amazon EC2
Juve G., Deelman E., Berriman G., Berman B., Maechling P. Journal of Grid Computing 10(1): 5-21, 2020.  Type: Article

Cloud computing is becoming popular for computing that requires large processing power and massive data volume. The work reported here aims to study scientific workflows on Amazon Elastic Compute Cloud (EC2). The principal goal is to s...

Sep 23 2021  
   Data-parallel structural optimisation in agent-based models
Husselmann A. ACM SIGEVOlution 7(2-3): 33-36, 2020.  Type: Article

Modeling is a tool for studying a natural phenomenon. The accuracy of such a model depends on how well the model mimics the behavior of the system under study....

Apr 16 2021  
   Data-parallel structural optimisation in agent-based models
Husselmann A. ACM SIGEVOlution 7(2-3): 33-36, 2020.  Type: Article

Modeling is a tool for studying a natural phenomenon. The accuracy of such a model depends on how well the model mimics the behavior of the system under study....

Apr 16 2021  
 
 
 
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