Ubada El Joulani

Ubada El Joulani

AI Engineer & Researcher

PhD researcher building AI products that solve real-world problems. From energy forecasting to condition monitoring to develpment of literature review tool, turning research into impact.

Building intelligent systems.

I'm a PhD researcher in Computer Systems Engineering at Brunel University London, investigating Minimum Value Datasets for AI applications. I graduated with a First Class BEng (Hons), followed by a one-year placement at the Brunel Innovation Centre in Cambridge, where I worked on cutting-edge AI projects spanning terahertz imaging, supply chain optimisation, and contraband detection.

Beyond research, I build products. I helped develop Khutba Labs, an AI-powered real-time translation platform for Islamic communities, and created PaperSynapse, a tool that helps systematic literature reviews using AI. I'm driven by the belief that technology should bridge gaps, whether in language, knowledge, or access.

2
Live Products
4+
Years in AI/ML
4
Languages Spoken
1st
Class Honours

Things I've built.

🌐
Live

Khutba Labs (contributed)

AI-Powered Real-Time Translation for Mosques

Lisaan AI translates live khutbas and Islamic lectures into 30+ languages simultaneously with context-aware understanding of Islamic terminology, Quranic verses, and Hadith references.

AI Translation Real-Time 30+ Languages NLP
Visit khutbalabs.com
📚
Live

PaperSynapse

AI-Powered Systematic Literature Review

Automates extraction and analysis of data from academic papers using AI. Imports from Scopus, PubMed, IEEE and more. Interactive analytics, AI chat, and customisable fields cut review time from 40+ hours to minutes.

Claude AI Data Extraction Analytics Academic Research
Visit papersynapse.com
+

More coming soon

Where I've worked.

Sep 2019 - Present
PhD Researcher
Brunel University London
  • Research on Minimum Value Datasets for AI applications
  • Condition monitoring on rotary machines
  • Developing novel methodologies for dataset optimisation in machine learning pipelines
Sep 2021 - Sep 2022
Project Technical Assistant (Placement)
Brunel Innovation Centre - Cambridge, UK
  • Developed ML algorithms for supply chain demand forecasting and production line optimisation
  • Built AI software for terahertz imaging of composites using TensorFlow and deep learning
  • Worked on contraband detection in prisons using continuous passive terahertz imaging
Jun 2021 - Sep 2021
Software Developer
Elodiz Ltd - High Wycombe, UK
  • Developed software for laboratory equipment using C++
  • R&D with Python for data analysis; 3D prototyping with Fusion 360
May 2017 - Sep 2017
Web Developer
Plat1 s.r.l. - Bergamo, Italy
  • Built websites for small businesses using HTML5 and CSS
  • Managed domains, Google Analytics, and SSL implementation

Academic background.

🎓
PhD Computer Systems Engineering
Brunel University London
Sep 2019 - Present
Formulation of Minimum Value Datasets for AI applications
🏆
BEng (Hons) Computer Systems Engineering
Brunel University London
Sep 2019 - Jun 2023
First Class Honours with Professional Development. Final Year Project: Smart Homes - Intelligent Data Collection and Processing (electricity consumption prediction using LSTM, ARIMA, and Dynamic Time Warping).
🌎
Science & Maths High School with Applied Sciences
Istituto Maironi Da Ponte & Leonardo Da Vinci - Bergamo, Italy
Sep 2013 - Jun 2019
Erasmus+ programme in France and Portugal

My toolkit.

⚙ Languages & Frameworks
Python Java C++ C HTML5 CSS SQL Assembly
🤖 AI & Machine Learning
TensorFlow Deep Learning Neural Networks LSTM / RNN NLP Image Classification PCA ARIMA
🔧 Tools & Platforms
MATLAB Simulink SPSS Pandas NumPy scikit-learn Fusion 360 Excel
💡 Domains
Edge Computing IoT Embedded Systems Data Analysis Computer Architecture Network Security

I speak four.

Arabic
Native (C2)
Italian
Native (C2)
English
Advanced (C1)
French
Beginner (A1)

Let's connect.

Open to collaborations, research opportunities, and interesting conversations.