Hi, I'm Mohamed, and this is all about my work in data science and research. I'm curious about how data can help us understand our world better and, more importantly, the world inside us (the brain).
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My name is Mohamed Yosef, a data scientist and AI researcher from Egypt. I started as a user experience (UX) designer (2021-2023), making apps and websites easy and enjoyable to use. My passion for design and creative thinking helps me a lot in my current work in data science, specifically deep reinforcement learning (deep RL), a machine learning approach that helps systems make decisions by trying different actions and learning from the results. I also study human-AI interaction, which is about exploring how people and AI systems can effectively collaborate and enhance each other’s capabilities.
At Mansoura University, I lead a project called AQSA (Sep 2023 - May 2024) aimed at using the new AI techniques to help small businesses as well as bridging the gap between research and real-world applications. The project consists of three key components: Generative Chatbot (tailored for information about startup ecosystem and other parts of AQSA), Automated Data Analysis (get visual representation of any given data), and Forecasting module (combining historical data, market trends, and external factors like currency exchange rates and oil prices to generate reliable predictions for sales or interest rates).
While I don’t design for businesses anymore, my love for art and creativity remains a strong personal passion. I still design the figures for my research papers and articles. The reason behind that is it feels special – having complete control over the visual representation of my story – which allows me to craft a clearer, more impactful work.
My ultimate goal is for my research and work to help us understand our world and, more importantly, the world inside us—the brain.
We will show them Our signs in the horizons and within themselves
until it becomes clear to them that it is the truth.
From AlphaGo beating the world champion in Go, to the newest updates on large language models and what they can do, RL algorithms with no doubt have a huge impact in the present and the future of automation and Human-AI interaction. With this collection of RL principles, you’ll gain a deeper understand of how RL work and you may gain insights applicable in your own work, leading to innovative solutions.
Exploring machine learning paradigms and the core idea behind it which is generalization. Also, neural networks and how deep learning is different from traditional machine learning as well as how to use activations functions and optimizers. At the end, I added a small overview of model evaluation followed by some of the common types of neural networks architectures nowadays like CNNs, RNNs, and Transformers.
AQSA is a comprehensive AI-driven solution for startups and small businesses. We created AQSA with a goal to reach the gap between research and real-world applications. Our project contains three components; generative chatbot, automated data analyzer, and forecasting module. All with a goal to provide information, enhance decision-making, and foster innovation within the startup ecosystem.
From AlphaGo beating the world champion in Go, to the newest updates on large language models and what they can do, RL algorithms with no doubt have a huge impact in the present and the future of automation and Human-AI interaction. With this collection of RL principles, you’ll gain a deeper understand of how RL work and you may gain insights applicable in your own work, leading to innovative solutions.
Exploring machine learning paradigms and the core idea behind it which is generalization. Also, neural networks and how deep learning is different from traditional machine learning as well as how to use activations functions and optimizers. At the end, I added a small overview of model evaluation followed by some of the common types of neural networks architectures nowadays like CNNs, RNNs, and Transformers.
The energy system has transformed dramatically since the Industrial Revolution. We found that the fastest growing energy source is Solar Energy. While the slowest energy source is Traditional biomass.
TThe goal of the project was to explore the relationship between the growth rate of the economy and the unemployment rate in the last four years since COVID-19.
The growth of supermarkets in most populated cities are increasing and market competitions are also high. In this dashboard we’ll give it a try and turn everything into a readable visualizations.
Many people might find the idea of conducting UX research daunting, as it can seem like a time-consuming and complex task. But, I can tell you that the methodical process of designing a research project saves your precious time and brain, and helps you to get maximum value from your research.
Error pages should reassure, delight and guide the user to interesting content. Taking the time to craft an outstanding 404 page is a worthwhile investment. In reality, this is a type of landing page.