Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Visiting Professor







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

    Tringali D, Haci D, Mazza F, et al., 2021, Eye Accommodation Sensing for Adaptive Focus Adjustment, 2021 43rd Annual International Conference of the Ieee Engineering in Medicine & Biology Society (embc), ISSN:1557-170X, Pages:7460-7464


    Cavallo FR, Mirza KB, de Mateo S, et al., 2021, A Point-of-Care Device for Sensitive Protein Quantification, IEEE International Symposium on Circuits and Systems (IEEE ISCAS), IEEE, ISSN:0271-4302

    Mu Z, Nikolic K, Schultz SR, 2021, Quadratic Mutual Information estimation of mouse dLGN receptive fields reveals asymmetry between ON and OFF visual pathways., 10th International IEEE-EMBS Conference on Neural Engineering (NER), IEEE, Pages:1134-1139, ISSN:1948-3546

    Han Z, Francesca C, Nikolic K, et al., 2021, Signal identification of DNA amplification curves in custom-PCR platforms, ISSN:0271-4310

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