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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.

Date Reviewed  
- 10 of 58 reviews

  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...

May 16 2023  
   Multiple LDPC-encoder layered space-time-frequency architectures for OFDM MIMO multiplexing
Huang Y., Wang J. Wireless Personal Communications: An International Journal 63(4): 995-1012, 2012.  Type: Article

For many, because of its influence in both everyday life and business, fourth-generation (4G) wireless communication has a distinguished place, where coupling orthogonal frequency-division multiplexing (OFDM) and multiple input, multiple output (M...

Apr 24 2023  
  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...

Apr 4 2023  
   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...

Aug 27 2021  
   Gradient algorithms for complex non-Gaussian independent component/vector extraction, question of convergence
Koldovský Z., Tichavský P. IEEE Transactions on Signal Processing 67(4): 1050-1064, 2019.  Type: Article

Blind source separation/extraction (BSS/BSE) methods are widely applicable, from wireless communication to cosmic explorations. They are subsets of blind signal processing, used in original source waveform estimation, without relying o...

May 13 2021  
  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...

Mar 31 2021  
   Scalable distributed semantic network for knowledge management in cyber physical system
Song S., Lin Y., Guo B., Di Q., Lv R. Journal of Parallel and Distributed Computing 118(P1): 22-33, 2018.  Type: Article

Knowledge extraction in cyber-physical systems (CPS) is a challenging task. Traditional methods are not efficient for this complicated task; an approach that exploits parallel and distributed computing methods while considering scalabi...

Dec 3 2020  
  Blockchain technology: What is it good for?
Ruoti S., Kaiser B., Yerukhimovich A., Clark J., Cunningham R. Communications of the ACM 63(1): 46-53, 2019.  Type: Article

Cryptocurrency has been the origin of an evolution in financial and monetary relations the world over, and its domain of influence continues to spread. Bitcoin is its well-known symbol. In addition to security, trust is a key criterion...

Sep 28 2020  
  Performance analysis of linear receivers for uplink massive MIMO FBMC-OQAM systems
Rottenberg F., Mestre X., Horlin F., Louveaux J. IEEE Transactions on Signal Processing 66(3): 830-842, 2018.  Type: Article

Progressive improvements have been made to the offset-quadratic-amplitude-modulation-based filter-bank multicarrier (FBMC-OQAM) signaling scheme, for example, many theoretical discussions and achievements surrounding its waveform struc...

Aug 4 2020  
  Alias-free products of signals near Nyquist rate
Davis C., Lorenz K., Goodman J., Stantchev G., Boglione L., Nousain B. IEEE Transactions on Signal Processing 66(16): 4151-4159, 2018.  Type: Article

When the nonlinear, complicated behavior of natural phenomena and man-made artifacts cannot be modeled perfectly by one-dimensional modeling, multidimensional modeling can be an effective alternative. It is an emerging technique in dig...

May 19 2020  
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