Neural Knapsack: A Neural Network Based Solver for the Knapsack Problem
IEEE Access 2020 Hazem A A Nomer, Khalid Abdulaziz Alnowibet, Ashraf Elsayed, Ali Wagdy Mohamed
Hi, I’m Hazem Nomer, a machine learning researcher specializing in the intersection of deep learning, optimization, and healthcare applications.Currently, I am a PhD candidate at Erasmus Medical Center in Rotterdam, where I work on the INSTORAD project, which aims to transform radiotherapy treatment planning through instantaneous, AI-driven solutions.
My career has been shaped by a passion for tackling unconventional and challenging ideas in deep learning—particularly in using neural networks to solve complex mathematical problems. This drive led me to develop NeuralKnapsack, a neural network-based solver for the knapsack problem. My research focuses on representation learning and optimizing deep learning models to address pressing needs in healthcare.
Publications
GSK-RL: Adaptive Gaining-sharing Knowledge algorithm using Reinforcement Learning
NILES 2021 Hazem A A Nomer, Ali Wagdy Mohamed, Ahmed H Yousef
Code will be avaliable soon
Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck
Physics in Medicine & Biology 2024 Hazem A A Nomer, Franziska Knuth, Joep van Genderingen, Dan Nguyen, Margriet Sattler, András Zolnay, Uwe Oelfke, Steve Jiang, Linda Rossi, Ben J M Heijmen.
Projects
Deep Algorithmic Trading
Stocks returns prediction using deep learning
Mouse RNN
This simple module tracks your mouse movements and predict where your mouse is going next
Stack LSTM
Teaching LSTM and GRU (Gated Recurrent Units) to act as Stacks.
Recursive Neural Networks
Due to many theoretical implications, recursive neural networks are believed to be powerful models. In addition, recursive networks learn high-level representations from explicit inputs thus, it is successful in many deep learning tasks where the input is a structure
Mars Scout
(Role: C# Developer) 3D game simulates life on Mars Lava tubes. Won in NASA SPACE APPS hackathon.