Aboozar Taherkhani

Aboozar Taherkhani

Research Fellow

School of Science & Technology

Staff Group(s)
Computing and Technology

Role

Dr. Aboozar Taherkhani currently works at the School of Science and Technology, Nottingham Trent University, Nottingham as a Research Fellow on Leverhulme Trust Research Project entitled “Novel Approaches for Constructing Optimised Multimodal Data Spaces”.

Research areas

  • Artificial intelligence
  • Deep neural network
  • Convolutional neural network
  • Spiking neural network
  • Nonlinear signal processing
  • Activity recognition
    Opportunities arise to carry out postgraduate research towards an MPhil / PhD in the areas identified above. Further information may be obtained on the NTU Research Degrees websitehttps://www.ntu.ac.uk/research/research-degrees-at-ntu

External activity

  • Editor of Frontier Research Topic entitled: Neural Living Rooms
  • Reviewer of international journals including: IEEE Transactions on Neural Networks and Learning Systems, and Neurocomputing (Elsevier)

Publications

TAHERKHANI, A., COSMA, G. and MCGINNITY, T.M., 2018. Deep-FS: a feature selection algorithm for deep Boltzmann machines. Neurocomputing, 322, pp. 22-37. ISSN 0925-2312

TAHERKHANI, A., BELATRECHE, A., LI, Y. and MAGUIRE, L.P., 2018. A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X

TAHERKHANI, A., Belatreche,A., Li, Y., Maguire, L. P.,  DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. In IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 12, pp. 3137-3149, Dec. 2015.,

Taherkhani, A., Cosma, G., Alani, A.A. and McGinnity, T.M., 2018, July. Activity Recognition from Multi-modal Sensor Data Using a Deep Convolutional Neural Network. In Science and Information Conference (pp. 203-218). Springer, Cham.

PANDYA, B., COSMA, G., ALANI, A.A., TAHERKHANI, A., BHARADI, V. and MCGINNITY, T.M., 2018. Fingerprint classification using a deep convolutional neural network. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 86-91. ISBN 9781538661482

ALANI, A.A., COSMA, G., TAHERKHANI, A. and MCGINNITY, T.M., 2018. Hand gesture recognition using an adapted convolutional neural network with data augmentation. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 5-12. ISBN 9781538661482

MAAJI, S.S., COSMA, G., TAHERKHANI, A., ALANI, A.A. and MCGINNITY, T.M., 2018. On-line voltage stability monitoring using an Ensemble AdaBoost classifier. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 253-259. ISBN 9781538661482

Taherkhani, A., Belatreche, A., Li, Y. and Maguire, L.P., 2015, November. EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking eurons. In International Conference on Neural Information Processing (pp. 190-197). Springer, Cham.

Taherkhani, A., Belatreche, A., Li, Y. and Maguire, L.P., 2015, July. Multi-DL-ReSuMe: Multiple neurons delay learning remote supervised method. In Neural Networks (IJCNN), 2015 International Joint Conference on (pp. 1-7). IEEE.

For more publication please see ResearchGate.

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