Amin Shahraki

Faculty of Computer Sciences
Norwegian version of this page Position
Doctoral Research Fellow
Contact
+4769608184
Study place
Halden
Office nr.
-

Academic interests

Write a few words here about your academic interests.

Courses taught

  • <Link to programme of study/course>
  • <Link to programme of study/course>
  • ...

Background

Brief presentation of previous work experience and education

Awards

  • <Name and link to prize 1, if any>
  • <Name and link to prize 1, if any>
  • ...

Appointments

  • <Title and (if applicable) link 1>
  • <Title and (if applicable) link 2>
  • ...

Positions held

  • <Name and link to position 1, if any>
  • <Name and link to position 2, if any>
  • ...

Partners

 

Research groups

Publications

  • Shahraki, Amin; Geitle, Marius & Haugen, Øystein (2019). A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost, In Toni Perković (ed.),  2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech).  IEEE.  ISBN 978-953-290-091-0.  IOT.
  • Shahraki, Amin & Haugen, Øystein (2019). An outlier detection method to improve gathered datasets for network behavior analysis in IoT. Journal of Communications.  ISSN 1796-2021.  14(6), s 455- 462 . doi: 10.12720/jcm.14.6.455-462 Full text in Research Archive.
  • Shahraki, Amin; Kuchaki Rafsanjani, Marjan & Borumand Saeid, Arsham (2016). Hierarchical distributed management clustering protocol for wireless sensor networks. Telecommunications Systems.  ISSN 1018-4864.  s 1- 22 . doi: 10.1007/s11235-016-0218-7

View all works in Cristin

  • Shahraki, Amin; Geitle, Marius & Haugen, Øystein (2019). A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost.
  • Shahraki, Amin & Haugen, Øystein (2018). Social ethics in Internet of Things:An outline and review.
  • Shahraki, Amin; Khojasteh Kaffash, Delaram & Haugen, Øystein (2018). A Review on the effects of IoT and Smart Cities Technologies on Urbanism.
  • Shahraki, Amin (2017). Designing a context-aware IoT infrastructure for indoor-multi actor environments based on dynamic hierarchical clustering method.
  • Shahraki, Amin; Taherzadeh, Hamed & Haugen, Øystein (2017). Last Significant Trend Change Detection Method for Offline Poisson Distribution Datasets. Show summary

View all works in Cristin

Published June 12, 2018 4:13 PM - Last modified June 12, 2018 4:14 PM