Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Visiting Professor



+44 (0)20 7594 1594k.nikolic




Bessemer 420CBessemer BuildingSouth Kensington Campus





Visiting Professor at the Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Department of Electrical and Electronic Engineering. Previously I have been at Imperial for nearly 15 years in various roles. Currently I am Professor of Computing (AI, ML, Data) at the School of Computing and Engineering, University of West London.

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, a Senior Research Associate at the Dep. of Physics & Astronomy, University College London, and the Wilfred Corrigan Research Fellow at Institute of Biomedical Engineering, Imperial College London.

    Current research:

    • ML - neuromorphic systems, spiking neural networks
    • Computational Neuroscience/Mathematical Biology
    • Neural stimulation and recording, Neuromodulatory Implants
    • Biomodeling, Optogenetics
    • Nanoelectronics - Fault tolerant architectures

    Main Projects

    Google Scholar Profile  






    Cavallo FR, Mirza KB, de Mateo S, et al., 2021, Aptasensor for quantification of leptin through PCR amplification of short DNA-aptamers., Acs Sensors, Vol:6, ISSN:2379-3694, Pages:709-715

    Mu Z, Nikolic K, Schultz SR, 2020, Quadratic Mutual Information estimation of mouse dLGN receptive fields reveals asymmetry between ON and OFF visual pathways

    Wildner K, Mirza KB, De La Franier B, et al., 2020, Iridium oxide based potassium sensitive microprobe with anti-fouling properties, Ieee Sensors Journal, Vol:20, ISSN:1530-437X, Pages:12610-12619

    Cheng R, Mirza KB, Nikolic K, 2020, Neuromorphic robotic platform with visual input, processor and actuator, based on spiking neural networks, Applied System Innovation, Vol:3, ISSN:2571-5577, Pages:1-16


    Roever P, Mirza KB, Nikolic K, et al., Convolutional neural network for classification of nerve activity based on action potential induced neurochemical Signatures, IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, ISSN:0271-4302

    More Publications