Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Home Topics Titles Quotes Blog Featured Help
Search
 
Mohammad Sadegh Kayhani Pirdehi
University of Oulu
Oulu, Finland
 

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.


     

Potential technologies and applications based on deep learning in the 6G networks
Zheng Z., Wang L., Zhu F., Liu L. Computers and Electrical Engineering 951-8, 2021.  Type: Article

The sixth generation of cellular networks (6G) still hasn’t reached its peak in terms of hype, and in light of 4G and 5G coordinates and ruling experiences, concerned theorists are working to define 6G’s framework, use cases, potential...

 

Dynamic spectrum allocation with maximum efficiency and fairness in interactive cognitive radio networks
Ma Z., Wang H. Wireless Personal Communications: An International Journal 64(2): 439-455, 2020.  Type: Article

Cognitive radio is a promising technology to leverage the radio spectrum in a more effective way. The nature of the interactivities in cognitive radio network entities is of a manner that can be modeled by game theory ideas. In this re...

 

Applied probability and stochastic processes
Joshua V., Varadhan S., Vishnevsky V., Springer International Publishing, New York, NY, 2020. 521 pp.  Type: Book (978-9-811559-50-1)

Natural phenomena are very complicated, and statistical analysis, which is categorized in the stochastic conceptual framework, is an effective tool to formulate, estimate, and predicate their nature, behaviors, and functionalities. Stochastic proc...

 

Smart dispatching in heterogeneous systems
Gardner K., Stephens C. ACM SIGMETRICS Performance Evaluation Review 47(2): 12-14, 2019.  Type: Article

For modern computing platforms, heterogeneous processing nodes are the reality. Moreover, most traditional job assignment algorithms, which are designed for homogeneous systems, are not efficient for heterogeneous platforms. For the sa...

 

Static identification of injection attacks in Java
Spoto F., Burato E., Ernst M., Ferrara P., Lovato A., Macedonio D., Spiridon C. ACM Transactions on Programming Languages and Systems 41(3): 1-58, 2019.  Type: Article

A programming language’s security principles guarantee robustness and sustainability by detecting and neutralizing any tainted object in the programming code, which can potentially be the source of any vulnerability during th...

 
  more...

 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2023 ThinkLoud®
Terms of Use
| Privacy Policy