Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Research Fellow



+44 (0)20 7594 1594k.nikolic




Bessemer 420CBessemer BuildingSouth Kensington Campus





Principal Inviestigator/Senior Research Fellow (equivalent standing to a Reader at Imperial College) at the Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering.                 

Wilfred Corrigan Research Fellow

I received the BEng and MSc from the Department of Electrical Engineering, Belgrade University, Serbia and the PhD in physics from Imperial College London, UK. I was an Associate Professor at the Faculty of Electrical Engineering, Belgrade University, and a Senior Research Associate at the Dep. of Physics & Astronomy, University College London.

Current research:

  • Optogenetics
  • Computational Neuroscience/Mathematical Biology
  • Neural Implants (Optogenetic Retinal Implant)
  • Neurotechnology/Optical Neural stimulation
  • Nanoelectronics - Fault tolerant architectures

Main Projects

Google Scholar Profile  






Luo J, Nikolic K, Evans BD, et al., 2017, Optogenetics in Silicon: A Neural Processor for Predicting Optically Active Neural Networks, Ieee Transactions on Biomedical Circuits and Systems, Vol:11, ISSN:1932-4545, Pages:15-27

Evans BD, Jarvis S, Schultz SR, et al., 2016, PyRhO: A Multiscale Optogenetics Simulation Platform, Frontiers in Neuroinformatics, Vol:10, ISSN:1662-5196

Katz ML, Viney TJ, Nikolic K, 2016, Receptive Field Vectors of Genetically-Identified Retinal Ganglion Cells Reveal Cell-Type-Dependent Visual Functions, Plos One, Vol:11, ISSN:1932-6203


Troiani F, Nikolic K, Constandinou TG, 2017, Optical coherence tomography for detection of compound action potential in Xenopus Laevis sciatic nerve, SPIE/OSA European Conferences on Biomedical Optics (ECBO)

Nikolic K, Evans B, 2016, Identifying optimal feature transforms for classification and prediction in biological systems: recovering receptive field vectors from sparse recordings, International Conference on Machine Learning (ICML), Workshop on Computational Biology

More Publications