Imperial College London

MrFedericoMazza

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Postgraduate
 
 
 
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Contact

 

f.mazza15 Website

 
 
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Location

 

B422Bessemer BuildingSouth Kensington Campus

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Summary

 

Summary

Federico Mazza obtained his BSc in Electronic Engineering from the Polytechnic University of Turin, Italy in 2012. He next enrolled in the MSc course with a focus on Integrated Electronics and Optoelectronics. During the master he was awarded a scholarship to enter a double degree program involving the aforementioned Polytechnic and the University of Illinois at Chicago. He spent one year at UIC’s Nanotechnology Core Facility, where he worked on his master thesis project concerning the design of a new type of accommodative intraocular lens for cataract treatment. He received his MSc both in Turin and Chicago in 2014. After having worked one year in one of the world’s leading companies in the field of industrial automation for the automotive industry, Federico enrolled as a PhD student at Imperial College. Starting in January 2016, he joined the Next Generation Neural Interfaces group within the Centre for Bio-Inspired Technology, Department of Electrical & Electronic Engineering.

Publications

Conference

Ahmadi N, Cavuto M, Feng P, et al., 2019, Towards a Distributed, Chronically-Implantable Neural Interface, IEEE/EMBS Conference on Neural Engineering (NER), Pages:1-6

Leene LB, Maslik M, Feng P, et al., 2018, Autonomous SoC for Neural Local Field Potential Recording in mm-Scale Wireless Implants, IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, ISSN:0271-4302

Mazza F, Liu Y, Donaldson N, et al., 2018, Integrated Devices for Micro-Package Integrity Monitoring in mm-Scale Neural Implants, IEEE Biomedical Circuits and Systems Conference (BioCAS) - Advanced Systems for Enhancing Human Health, IEEE, Pages:295-298, ISSN:2163-4025

Szostak K, Mazza F, Maslik M, et al., 2017, Microwire-CMOS Integration of mm-Scale Neural Probes for Chronic Local Field Potential Recording, IEEE Biomedical Circuits and Systems (BioCAS) Conference, IEEE, Pages:492-495

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