Summary
Khalid is a research assistant at the Centre for Bio-Inspired Technology, Institute of Biomedical Engineering. He completed his MSc in Analogue and Digital IC Design from Dept. of Electrical and Electronic Engineering, Imperial College London and started working as an Electronics Engineer for Ingenia Technology, in a product design team to implement a novel authentication technology called Laser Surface Authentication (LSA).
After 2.5 years at Ingenia, he returned to work and pursue a PhD at the Institute of Biomedical Engineering, Imperial College London. Currently, he is working under the ERC funded I2MOVE Synergy project, led by Prof Chris Toumazou and Prof Stephen Bloom, to develop an intelligent, implantable vagus nerve stimulator for obesity treatment. Previously he was also employed in a project funded by EPSRC aimed at real time sensing of neuro-chemical signals.
Further details about the I2MOVE project can be found here : http://www.imperial.ac.uk/a-z-research/i2move/
His research interests lies in developing intelligent,closed loop, implantable or point-of-care platforms which can be used to deliver personalised therapy for obesity and related metabolic conditions.
Publications
Journals
Cavallo FR, Mirza KB, de Mateo S, et al., 2022, A Point-of-Care Device for Fully Automated, Fast and Sensitive Protein Quantification via qPCR, Biosensors-basel, Vol:12
Kumar P, Mirza KB, Choudhury K, et al., 2021, Tissue Regeneration through Cyber-Physical Systems and Microbots, Advanced Functional Materials, Vol:31, ISSN:1616-301X
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
Conference
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
Han Z, Francesca C, Nikolic K, et al., 2021, Signal identification of DNA amplification curves in custom-PCR platforms, ISSN:0271-4310