(Project) MRI Brain Scan Segmentation & Visualization Using MATLAB
King Hussein Business Park
Total years of experience :1 years, 5 Months
- Leveraged MATLAB's capabilities in medical imaging to execute a comprehensive case study focused on MRI brain scan processing and segmentation.
- Analyzed a dataset comprising 60 DICOM images, utilizing advanced algorithms to precisely calculate brain volume.
- Employed mathematical functions to extract and present essential insights into patients' brain health and structural characteristics.
- Designed and implemented a healthcare chatbot using TensorFlow for Neural Networks and Deep Learning, with seamless integration of NLTK and NumPy packages for text processing.
- Trained specialized modules to identify keywords, enabling accurate disease or condition classification for user inquiries.
- Successfully incorporated a text-to-speech conversion feature, enhancing user interaction by allowing the chatbot to provide auditory responses.
- Led a team of 2 engineers in a senior thesis project, conceptualizing and designing a user-friendly smartband for real-time vital sign monitoring by utilizing an ATmega32 microcontroller and the Arduino software.
- Employed C programming to ensure seamless real-time health data transmission and display, enhancing the user experience and data accuracy.
- Developed and optimized code and data processing techniques to interface with the microcontroller, enabling precise result delivery and comprehensive evaluation.
During my internship as a Biomedical Text Engineer at Arctos Neurosensory Solutions, I collaborated with a team of seasoned engineers to create and execute customized EEG signal test scripts using Python on VS Code. I closely worked with the data analysis team to process and interpret EEG data using MATLAB and LabVIEW, ensuring data quality across various testing scenarios. Additionally, I applied advanced signal processing techniques, including Fourier Analysis and Wavelet Transforms, to extract relevant features from acquired signal data, contributing to data-driven insights and decision-making in the field of biomedical engineering.
As an Undergraduate Research Assistant at Eastern Mediterranean University, I conducted research focused on CRISPR/Cas9-Based Biological Systems in E. Coli for the BIOL260 course. My responsibilities included analyzing scientific articles from reputable sources, synthesizing essential insights, and executing guide RNA designs for precise gene editing within E. Coli. I demonstrated strong laboratory skills through PCR amplification and gel electrophoresis, achieving an impressive 80% editing efficiency in E. Coli. This research experience enhanced my proficiency in the CRISPR/Cas9 technology and contributed to the advancement of genomic modifications in biological systems.
Graduated with a high GPA, successfully achieving a High Honor status for 4 consecutive semesters. Relevant coursework: Biomedical Instrumentation, Biomaterials, Biomedical Imaging, Digital Signal Processing, Electromagnetics, Anatomy and Physiology, Biomechanics, C Programming, Java Programming, Medical Information Systems.
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