Aboozar Taherkhani
Scholar

Aboozar Taherkhani

Google Scholar ID: laYz0dEAAAAJ
Senior Lecturer, De Montfort University
Deep neural networkimage and nonlinear signal processingspiking neural networkmachine learning methods for roboticsinternet of things (IOT)
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Citations & Impact
All-time
Citations
1,351
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Contact
Emailaboozar.taherkhani@dmu.ac.uk
Publications
1 items
Privacy-Preserving Generative Models: A Comprehensive Survey
2025
Cited
0
Resume
Academic Achievements
  • Publication: A. Taherkhani, G. Cosma, and T.M. Mcginnity, AdaBoost-CNN: An Adaptive Boosting algorithm for Convolutional Neural Networks to classify Multi-Class Imbalanced datasets using Transfer Learning, Neurocomputing, 2020.
Research Experience
  • Currently a Senior Lecturer at the Faculty of Computing, Engineering, and Media, De Montfort University, UK. Previously, he was a full-time research fellow at the Computational Neuroscience and Cognitive Robotics Laboratory, Nottingham Trent University, Nottingham, UK. He worked as a research fellow on the Leverhulme Trust Research Project entitled “Novel Approaches for Constructing Optimised Multimodal Data Spaces”.
Education
  • Received the PhD degree from Ulster University, Londonderry, U.K, in 2017.
Background
  • Research interests include artificial intelligence, data science, big data, deep neural networks, image and nonlinear signal processing, multimodal data analysis, and spiking neural networks. He is also interested in using machine learning methods for robotics, internet of things (IOT), activity recognition, and natural language processing.