Karim El Hallaoui


Karim El Hallaoui

I am currently a Master's student under the supervision of Prof. Coates with the McGill Computer Networks (CompNet) Research Lab. My projects focus on microwave breast cancer imaging. This includes the miniaturization of the RF components and the conception of machine learning techniques as a means for diagnostics. 

For more information pertaining to the breast cancer detection project, click here


Research Interests

Microwave Breast Cancer Detection
Anomaly Detection and Machine Learning 
Computer-Brain Interfaces
Plasticity in the Brain

Curriculum Vitae 


Research Experience

2016 - Breast Cancer Detection McGill University Master's Thesis Research

The project aims at developing a wearable user-friendly breast cancer detection modality which can be used with ease for frequent periodic scans. This will provide a complementary technique for individuals to conduct self-scans in order to detect the presence of malignant cells within the breast at its earliest onset. The system operates using time-domain signals in the 2 to 4GHz ultrawideband frequency. The system components need to be miniaturized in order for them to fit within a conformal bra. Moreover, for the breast cancer detection system to be easy to use, it must be capable of diagnosis. My thesis will focus on these two aspects of the project.  

Miniaturization of the RF electronic components utilized in the breast cancer detection system. The RF pulse generator and clock generator components were miniaturized in an effort to approach the possibility of containing the entire system on a single printed circuit board (PCB). 

Anomaly detection techniques for diagnostics are a popular group of machine learning techniques which can be used for performing categorization tasks on skewed datasets. Our dataset constructed during a clinical trial is comprised of healthy breast scans and artificially injected tumor responses. Obtaining breast scans from patients that have been diagnosed with cancer is difficult, expensive in time and poses ethical constraints. Therefore, the datasets are heavily skewed. Therefore, anomaly detection methods are being explored as a means to construct a high-dimensional space which constitutes as a healthy breast. From this model, cancerous scans can be detected and the user can be alerted.

2015 - McGill University Bachelor's Degree Final Design Project

This project was in partnership with UQAM. Its aim was to design and fabricate a MEMS electrostatic motor driving circuit to rotate a microprism at 10,000rpm. The selected motor is a three-phase capacitive electrostatic motor using a 200V input at the capacitive plates.



El Hallaoui, Karim, et al. "A miniaturized clock generator for a time-domain microwave breast health monitoring device.Antenna Technology and Applied Electromagnetics (ANTEM), 2016 17th International Symposium on. IEEE, 2016.

Contact Information

E-mail: karim.elhallaoui@mail.mcgill.ca

Supervisor: Prof. Mark Coates


Room: ENGMC 702
Dept. of Electrical & Computer Engineering
McGill University
3480 University Street
Montreal, Quebec
H3A 2A7



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