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Dr Aboozar Taherkhani

Job: Early Career Academic (ECA) Fellowship – Creativity in the Digital Age – Computer Science and Informatics

Faculty: Technology

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: 0116 366 4500

E: aboozar.taherkhani@dmu.ac.uk

 

Personal profile

Aboozar Taherkhani, received the PhD degree from Ulster University, Londonderry, U.K, in 2017. Dr Aboozar Taherkhani currently works at the Faculty of Computing, Engineering, and Media, De Montfort University, UK as an academic fellow. Previously he was a full-time research fellow at the Computational Neuroscience and Cognitive Robotics Laboratory, at 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”.

Aboozar does research in Computer Science and Neuroscience. His current research interests include artificial intelligence, data science, big data, deep neural network, image and nonlinear signal processing, multimodal data analysis, spiking neural network. He is also interested in using machine learning methods for robotics and activity recognition.

Research group affiliations

Institute of Artificial Intelligence (IAI)

Research interests/expertise

  • Artificial intelligence 
  • Data science and big data 
  • Deep neural network
  • Image processing
  • Signal processing
  • Multimodal data analysis 
  • Spiking neural network
  • Robotics 
  • Activity recognition

For more information please see: https://www.researchgate.net/profile/Aboozar_Taherkhani

Areas of teaching

  • Intelligent Mobile Robots
  • Deep Neural network
  • Object Oriented Programming in C++
  • Introduction to C++
  • Algorithms and Data Structures
  • Basic and advanced C# programming concepts 
  • Basic and advanced python programming concepts
  • Embedded Systems and Information Systems Development
  • Programmable logic controllers (PLC), industrial instrumentation and control, AVR microcontrollers, electrical circuit analysis

Qualifications

PhD - Computer Science and Intelligent Systems
MSc - Biomedical Engineering (Bioelectronics)
BSc - Electronic Engineering

Courses taught

IMAT5233_ Intelligent Mobile Robots

Projects

The Leverhulme Trust Research Project Grant RPG-2016-252 entitled “Novel Approaches for Constructing Optimised Multimodal Data Spaces”.

ORCID number

0000-0002-3627-6362

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