Salma Waleed

Last updated in November 2024 Salma Waleed Elnaggar + Egypt # - „ - ð swaleed3 § salma-303 Experience SkyXperts Club-AAST, Head of Computer Vision team • Led a 10-member team in developing advanced computer vision techniques for drones, streamlining project management to boost efficiency by 25% and reduce completion time by 30%. • Acquired expertise in machine learning hardware for optimal software solutions. Alexandria, EG Dec 2023 – Aug 2024 OBYAN, Software Engineer Intern • Designed a Java-based Android UI with navigation and dashboard features, increasing user engagement by 40%. • Integrated the Votol 150 controller and DEBIX Model B into scooter systems, boosting performance metrics by 15% and reducing loading times by 20%. Cairo, EG Jun 2023 – Jul 2024 WeBios Lab-AAST, Undergraduate Research Assistant • Enhanced BCI data accuracy by 20% through advanced noise reduction methods. • Collaborated with a six-member team to enhance the Unicorn Hybrid Black EEG headset and develop an AI-driven perception system, achieving a 15% performance increase and improved usability. Alexandria, EG Jul 2023 – Jun 2024 ICPC Africa & Arab Collegiate Programming Championship, CP Contestant • Secured first place in ECPC twice and reached the finals of ACPC twice, earning Honorable Mention among 150 participants. • Demonstrated proficiency in C++ within a collaborative 3-member team environment. Aug 2021 – Nov 2022 Education BS Arab Academy for Science, Technology and Maritime Transport - Universitat Autònoma de Barcelona, Joint Degree in Artificial Intelligence Major in Intelligent Systems • CGPA: 3.5/4.0 - Very Good Oct 2020 – Jun 2024 Involvement Host Volunteer,ICPC - International Collegiate Programming Contest • Coordinated a large-scale competition with 3,000 attendees, overseeing logistics and streamlining registration processes, achieving a 95% participant satisfaction rate. Projects Graduation Project, "Safety Autonomous Features on a Smart Electric Scooter" • Developed an advanced predictive machine learning model to predict surrounding vehicle trajectory, incorporating Computer Vision, Sensor Fusion, Localization, Path Planning, and Control techniques. • Engineered a two-model architecture utilizing a CNN for predicting vehicle position, velocity, and direction, and an LSTM network to refine trajectory predictions, achieving 80% accuracy with diverse data types. • Implemented and trained ADAS algorithms (BSD, Collision Warning, ACC) using a dataset of over 10,000 annotated frames, enhancing rider safety. • Tools & Technologies: Python, ROS2, RVIZ, Gazebo, OpenCV, TensorFlow, Keras, and Matplotlib. Salma Waleed - Page 1 of 2 Monocular Depth Estimation for 3D Drone Mapping • Engineered a Tello drone to autonomously navigate and generate a 3D map using a monocular camera and advanced depth estimation techniques. • Evaluated three depth estimation architectures (U-Net, Pix2Pix GAN, ViT decoder) to enhance single-camera input processing. • Tools & Technologies: Python, OpenCV, TensorFlow, Keras, PyTorch, and DJI Tello SDK. NAO Robot Soccer Player • Programmed the robot to locate and track the ball, navigate obstacles, and perform soccer maneuvers, refining navigation strategies for real-time obstacle detection and achieving over 150 successful goal attempts without collisions. • Tools & Technologies: Python, Choregraphe, OpenCV, NAOqi SDK. Smart Attendance System • Designed a system using NFC tags for attendance recording, automating data entry and ensuring identity verification through facial recognition, which reduced manual errors by 50 • Tools & Technologies: Python, C++, OpenCV, dlib, and SQLite. Technologies Programming Languages: Python, C, C++, Java, HTML/CSS, JavaScript, SQL Robotics & AI: ROS (Robot Operating System), Gazebo, MoveIt, Deep Learning, Machine Learning, Reinforcement Learning, Computer Vision, Natural Language Processing (NLP) Parallel Computing: Threads, OpenMP, CUDA Cloud Computing: AWS (Amazon Web Services) Languages:Arabic (Native), English (Fluent), French (basic) Salma Waleed - Page 2 of 2