Husnain Ali Kayani was born in Jhelum, Pakistan, in 1989. He received his BE in electrical engineering from National University of Sciences and Technology (NUST), Islamabad, Pakistan, in 2011. He received his MS in electrical engineering from Université catholique de Louvain (UCL), Belgium and Polytechnic University of Turin (PdT), Italy, in 2015. He had won scholarship from NUST throughout his BE from 2007 to 2011. He was a recipient of Erasmus Mundus Scholarship from European Union for a double degree MS program from 2013 to 2015. He had worked as “Core Network Engineer” in Mobilink Pakistan from 2011 to 2013. Currently he is pursuing his PhD at UCL in electrical engineering and working on Electronically Steerable Parasitic Array Radiators (ESPARs) for the base station antennas of 5G communication systems.

He likes to play tennis, football and badminton in his free time. He also likes travelling and adventure.

Research Interests

His research interests are antenna design, phased arrays, reconfigurable antennas, RF circuit design, RF front end design and RFIC design.


  • [DOI] H. A. Kayani, K. Alkhalifeh, and C. Craeye, “Open-Circuit to Embedded Pattern Approach with Harmonic Optimization in ESPAR,” in Proceedings of the International Conference NEMO 2017, 2017.
     title = {Open-Circuit to Embedded Pattern Approach with Harmonic Optimization in ESPAR},
     author = {Kayani, Husnain Ali and Alkhalifeh, Khaldoun and Craeye, Christophe},
     abstract = {The radiation characteristics of Electronically Steerable Parasitic Array Radiators (ESPAR) can be modified by changing the loads attached to the parasitic radiators. The open-circuit pattern to embedded pattern approach is employed to compute the radiation pattern, when dynamic loads are attached to the parasitic radiators. It provides results exactly matching to those of full-wave simulations without any approximation and it is computationally highly efficient in the optimization phase. The weighted mean squared error is used as a cost function for optimization to obtain the objective radiation pattern. The optimization is carried out using a harmonic decomposition of load values versus the position index of parasitic elements and it provides results within a minute with an average error below 1dB between objective radiation pattern and obtained radiation pattern within the main lobe.},
     Keywords = {Antenna radiation patterns ,    Antenna arrays ,    Optimization ,    Load modeling ,    Loaded antennas ,    Harmonic analysis ,    Dipole antennas},
     language = {Anglais},
     booktitle = {Proceedings of the International Conference NEMO 2017},
     doi = {10.1109/NEMO.2017.7964177},
     publisher = {IEEE},
     year = {2017},
     url = {}}



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