Fouad A. I. Azar

An analytical Biomedical Engineer Postgraduate with a passion for project management and a strong academic background in bioinformatics, fluorescence spectroscopy and machine learning.
Experience
Consulting Biomedical Engineer
Omnifinancial		 April 2020 - present

Development and management of biomedical engineering projects related to the company's investments. Designing new features and products, as well as providing technical support for existing products and services. Calibration and maitenence of: Ophthalmological, spectroscopic and optical devices as well as ECGs/EEGs.

Project Coordinator (Flurine)
Institute for Bioengineering (IfB)		 Januyary 2019 - April 2020

Direct a team of undergraduates and postgraduates in cateloging the qualitative and quantitive multi-modal spectroscopic properties of human urine metabolomes. The goal is to create a detailed catalogue of native and foreign urine constituents. This project recorded a large set of large databases that were analysed using machine learning algorithms.

Lab Assistant
Aachen University of Applied Science (FH Aachen)		 September 2018 - December 2020

Calibrating and maintaining ophthalmological devices. Finite Element Method (FEM) analysis and CAD Modeling of Kyphotic Vertebrae The goal is to use FEM analysis to study and replicate the stress behaviour of kyphotic vertebrae. The study involved processing large data-set of CT-scanned kyphotic vertebrae
Teaching
Professor's Assistant
Aachen University of Applied Science		 March 2015 - December 2020

Preparing and lecturing in the following courses: Mathematics, Information Processing, German and Biomolecular Physics.

Teacher's Assistant
Freshman Institute		 Sept 2018 - December 2020

Preparing and lecturing in the following courses: Physics.
Lecturer
Institute for Bioengineering (IfB)		 May 2020 - September 2020

Preparing and lecturing in the following courses: Mathematics for Optometrists.
Education
Masters of Science Biomedical Engineering (GPA: 3.6)
(MSc) Aachen University of Applied Science
Thesis: Flurine - "Multi-Modal Spectroscopy and Machine Learning Applications in Urinalysis"
Bachelors of Engineering Biomedical Engineering (GPA: 3.2)
(BEng) Aachen University of Applied Science
Thesis: "Spectrofluorometric Analysis with Machine Learning Algorithms of Dissolved Organic Compounds"
Specializations
Spectroscopy Spectrofluorometry and -photometry
Machine Learning Neural Networks and Self-Organizing Maps, Regression, Supported Vector Machine, Cluster Analysis
Multivariate Analysis Principle Component Analysis, Finite Element Method and Parallel Factor Analysis
Clinical Analysis Ophthalmology, Urinalysis and Haematology
Software Skills
Programming C, Java, Python, HTML, CSS, JavaScript, PostGreSQL and MATLAB
Electronic Data Processing Latex, LibreOffice and Microsoft Office
Computer Aided Design Inventor, Amira, Blender and FreeCAD
Digital Audio Workstation Musescore, Guitar Pro 5-8 and Repaer
Languages
English Native (US Citizen)
Arabic Native (Jordanian Citizen)
German Fluent (C2)
Chinese (Mandarin) Conversational (HSK 4)
Projects
Flurine: Multi-modal Spectroscopic Analysis of Artificial and Human Urine
Aachen University of Applied Science (FH Aachen)

This project aimed to establish a production method of artificial urine as a reference value to human urine. Spectroscopic catalogue was collected for urinary components and analyzed using machine learning algorithms and multi-way analysis to create an efficient diagnostic tool.

TRIPLE: Technologies for Rapid Ice Penetration for Lake Exploration
German Aerospace Center (DLR)

Conceptualization of an ice-drill unit, carrying two payloads - an automated underwater vehicle and Astrobiolab, for an antarctic expedition in search of biosignatures

Application of Fluorescence Spectroscopy and Neural Networks in Clinical Analysis
University of Applied Sciences and Institiute for Bioengineering (IfB)

The conflation of fluorescence spectroscopy and machine learning to study and classify native and foreign urine constituents
Conferences
YRA–Young Researchers Academy MedTech, 2019

Poster: Utilization of fluorescence spectroscopy and neural networks in clinical analysis. F Azar, I Digel

The Tenth Moscow Solar System Symposium, 2019

Poster: PARAFAC Algorithm for Resolving Fluorescence Signatures of Life-Specific Compounds

Tag der Lehre FH-Aachen, 2019

Poster: Application of fluorescence spectroscopy and neural networks in clinical analysis

Awards
Scholarship of Magdeburg-Stendal University of Applied Sciences from the DAAD project funding

for academic excellence.

DAAD-funded scholarship for German language summer course

for academic excellence.

K1 Grant for Research Project Flurine

K1 Commitee provides financial means for the promotion of student project ideas.

Extracurricular Activities

I have always been a very passionate and curious person, so it should come as no surprise that my hobbies and interests are quite diverse. I love reading, especially philosophy and theory; I find that it helps me make sense of the world around me. I'm also a huge music fan, and enjoy playing bass and composing my own music. I'm always looking to learn new things, so I'm currently learning a few new languages. I think that it's important to never stop learning, and I hope to continue to explore new hobbies and interests throughout my life.


I was one of the volunteers who helped the Red Cross to translate and build camps during the refugee crisis in Germany. It was a difficult and challenging time for everyone involved, but I was proud to be able to help out in whatever way I could. I spent many hours translating documents and communicating with refugees, and also helped to build and maintain the camps that they were staying in. It was a rewarding experience, and I was glad to be able to help make a difference during such a difficult time.