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Kayhani Pirdehi, Mohammad Sadegh
University of Oulu
Oulu, Finland
 
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Mohammad Sadegh Kayhani Pirdehi received his bachelor’s degree in computer engineering from the Iran University of Science and Technology (IUST), in 1994, and then worked as a software designer and application programmer, mostly in the IBM mainframe environment. In 2004, he completed his master’s degree at the Western Sydney University.

Upon returning to Iran, Kayhani worked as a senior computing expert and project manager for the Informatics Services Corporation (ISC), the largest computing company in Iran and a general automated banking service provider. His work at ISC included project customization; development and management in Java platforms; IBM mainframe systems, loan systems, and C, Unix, and Informix platforms to implement software switches for communication among computing nodes. In addition to his work at ISC, he was teaching courses at many colleges and universities. In 2009, Kayhani attended the University of Oulu to learn more about wireless communication and networking.

Since 2010, Kayhani’s research has focused on communication science and all of its complexities. He has authored many papers on cognitive radios, machine-type communication, and software-defined radios, and he continues to teach and consult.

Kayhani has been a reviewer for Computing Reviews since 2016, with 50-plus published reviews.

 
 
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- 2 of 2 reviews

   
  Data-driven concurrency for high performance computing
Matheou G., Evripidou P. ACM Transactions on Architecture and Code Optimization 14(4): 1-26, 2017.  Type: Article, Reviews: (2 of 2)

While in procedural parallel programming with multithreading lemmas, the synchronization of the sequences of parallel execution of tasks is important to quick job execution, the data-driven method draws a new pattern. By passing synchr...

Oct 8 2018  
   A scalable parallel genetic algorithm for the generalized assignment problem
Liu Y., Wang S. Parallel Computing 46(C): 98-119, 2015.  Type: Article, Reviews: (2 of 2)

Efficient and scalable exploitation of high-performance and parallel computing resources in massively parallel architectures or multicore systems [1] has been the origin of plenty of investigations in the related scientific communities...

Jan 29 2016  
 
 
   
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