About Me
I am a Mechanical Engineering student at Qatar University with research experience spanning robotics, neuroengineering, and acoustics. Through my NSF REU fellowship at HAMMER-ERC, I engineered an autonomous vehicle prototype integrating vision, LIDAR, and deep learning within ROS2, and developed microfluidic platforms to study neural disorders using BioMEMS. My work with QRDI Council and Qatar University further strengthened my expertise in acoustical analysis, signal processing, and carbon capture systems. Alongside these research roles, I have built practical skills in prototyping, 3D modeling, and embedded systems through internships and freelance projects. I thrive on solving complex challenges with creativity and technical rigor, and I aim to apply my skills to advance innovations in sustainability, healthcare, and smart technologies.
Technical Skills
Languages
Arabic
English
Professional Experience
Undergraduate Researcher
NSF HAMMER-ERC
During my NSF REU program at HAMMER-ERC (North Carolina A&T State University), I engaged in two interdisciplinary research projects at the interface of robotics and neuroengineering. In Dr. Gokaraju's lab, I engineered an indoor autonomous vehicle prototype capable of lane following and real-time obstacle avoidance by integrating an Intel RealSense RGB camera and 2D RPLIDAR A3 with the YOLOP deep learning framework for panoptic driving perception. The system leveraged an NVIDIA Jetson AGX Xavier for computationally intensive inference and an Arduino Mega for low-level actuation, incorporating IMU feedback and motor control to enhance navigation stability. This work provided substantive experience in robotic perception, sensor fusion, embedded systems, and real-time AI deployment within ROS2 frameworks. Transitioning to Dr. Yun's lab, I fabricated PDMS-based microfluidic devices using SU-8 photolithography and silicon wafer molds to model brain trauma and neurodegenerative disease through mechanical compression of neural spheroids. My primary project centered on the design and development of a novel microfluidic platform to study organoid–vasculature interactions, which I integrated with MaxOne+ high-density microelectrode arrays to enable high-fidelity, label-free neural recording and stimulation. Through this effort, I also performed human neural stem cell culture and contributed to advancing BioMEMS technologies for modeling Alzheimer's disease, traumatic brain injury, and cortical network development.
Research Assistant
QRDI Council
Served on Work Package 2 (Signal Processing) of the UREP31-088-2-028 project, "Control of Environmental Noise from Road Traffic: a Web-Based User Interface." Focused on analyzing measured traffic-noise data by applying frequency-domain processing techniques, weighting functions, and benchmarking results against international noise guidelines (e.g., FTA). Collaborated closely with WP1 students collecting field measurements and provided processed datasets to WP3 for integration into the project's web-based platform. Employed MATLAB and related software tools to extract, visualize, and interpret acoustical metrics that help illustrate the effects of noise-control measures such as barriers or double-glazed windows. This role reinforced my technical skills in signal processing and deepened my understanding of environmental noise control strategies.
Research Intern
Qatar University
Participated in Qatar University's summer research internship focusing on "Experimental Evaluation of a Carbon Dioxide Capture Device for Automotive Exhaust Emissions." Gained insight into heat engine theory, investigated factors influencing engine performance and efficiency, and contributed to hands-on experimental setups.
Freelancer
Voltaat
Developed Arduino-based prototypes and 3D models to fulfill project commissions from external businesses, ensuring designs met client-specific requirements. In addition, created bilingual (English/Arabic) user manuals to accompany Voltaat Store's DIY kits.
Intern
Voltaat
Developed 3D modeling skills in Onshape to design custom engineering solutions and programmed Arduinos to fulfill electrical engineering requests from local companies and university teams. Strengthened rapid prototyping abilities and gained hands-on experience in both mechanical and electronic design processes.
Education
Qatar University
Bachelor of Science in Mechanical Engineering
2023 - 2027
Featured Projects
Lane Following and Obstacle Avoidance Self Driving Vehicle
Aug 2025 - Present
Engineered an autonomous vehicle prototype integrating Intel RealSense RGB camera and 2D RPLIDAR A3 with YOLOP deep learning framework for panoptic driving perception, utilizing NVIDIA Jetson AGX Xavier and Arduino Mega for real-time navigation.
MaxOne+ HD-MEA Microfluidic Chip Development
Aug 2025 - Present
Fabricated PDMS-based microfluidic devices using SU-8 photolithography and silicon wafer molds to model brain trauma and neurodegenerative diseases, integrating with MaxOne+ high-density microelectrode arrays for neural recording and stimulation.
Project AquaVentus
Jan 2025 - May 2025
Designed and developed a hybrid water and wind turbine system to generate energy for rural areas as part of the university course "Introduction to Design". Responsible for creating the assembly, imploded and exploded views, case, water turbine, heatsink, beam 3D model and drawing, as well as video animation and rendering in Blender.
Carbon Dioxide Capture Device
April 2024 - June 2024
Conducted experimental research on CO₂ capture from automotive exhaust emissions, focusing on emission measurement and analysis using specialized equipment.
Project Solarbrella
Nov 2023 - Dec 2023
Designed an innovative solar-powered umbrella system that combines shade with sustainable energy generation for outdoor spaces.
Buzzer Game
June 2023 - July 2023
Designed and built an interactive buzzer game system with wireless communication capabilities, featuring custom PCB design and 3D-printed enclosures.
Controller Joystick
Nov 2022 - Dec 2022
Created a detailed 3D model of a gaming controller joystick, featuring precise mechanical components and assembly visualization.