Noha Aboqara | Magneto-optics | Best Researcher Award

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Ms. Noha Aboqara | Magneto-optics | Best Researcher Award

Teaching Assistant at Zewail City, MSc student at Ain Shams University, Egypt

Noha Aboqara is a distinguished researcher with a robust academic background and innovative contributions to science and engineering. She holds a Master’s degree from Ain Shams University and a Bachelor’s degree from the American University in Cairo, graduating with highest honors. Her research encompasses cutting-edge topics such as photonics-based drug delivery, GaN laser technology, and novel biomedical applications, with notable publications and a book on her work. Aboqara’s technical proficiency spans MATLAB, Lumerical, and C++, among other tools. Her achievements include top placements in national and international competitions, recognition in the National Honor List, and leadership roles in community outreach and academic clubs. Despite her impressive accomplishments, broadening her international research collaborations and focusing on publishing in high-impact journals could further enhance her profile. Aboqara’s blend of academic excellence, research innovation, and leadership underscores her strong candidacy for the Research for Best Researcher Award.

Profile

Education

Noha Aboqara’s educational journey reflects a commitment to excellence and interdisciplinary expertise. She is set to complete her Master of Science and Engineering from Ain Shams University in December 2024, following a distinguished undergraduate career at the American University in Cairo (AUC). At AUC, she achieved a remarkable GPA of 3.9/4.0 while double-majoring in Electronics and Communication Engineering and Physics, graduating with Highest Honors in May 2021. Her academic prowess began early, with a perfect GPA of 4.0/4.0 in the STEM High School Certificate from Maadi STEM School for Girls, which she earned in June 2016. Throughout her education, Noha has demonstrated a strong foundation in both theoretical and practical aspects of her fields, underpinned by her high academic achievements and extensive research projects.

Professional Experience

Noha Aboqara has demonstrated exceptional professional experience through a range of roles and internships. She is currently a Teaching Assistant in the Department of Physics at Zewail City of Science and Technology, where she contributes to both teaching and research. Her technical internships include notable positions at Vodafone Egypt, where she worked on Mobile SDN virtualization, and at the Electronics Research Institute, where she researched RF power amplifier design. Additionally, Noha gained valuable experience at China CIOMP lab, simulating the edge diffraction of perovskite single crystals. Her role as a Research Assistant at the American University in Cairo involved enhancing A2A routing using machine learning. She has also interned with BARQ Systems Regional Company and EgyptAir International Company, focusing on network configurations and maintenance devices, respectively. These experiences underscore her broad technical expertise and commitment to advancing her field.

Research Interest

Noha Aboqara’s research interests lie at the intersection of advanced materials science and innovative biomedical applications. She focuses on leveraging photonics and nanotechnology to address global challenges in drug delivery and imaging. Her work includes developing novel photonics-based methods for drug delivery and enhancing biomedical imaging techniques through advanced simulation tools such as Lumerical and MATLAB. Aboqara is particularly interested in the application of machine learning to optimize these technologies and improve their efficacy. Her research also explores the synthesis of novel materials, such as lanthanide-doped upconverting materials, and their use in cutting-edge applications. By integrating diverse fields, including electronics, physics, and biomedical engineering, her work aims to advance the state of technology in both theoretical and practical realms, contributing to significant improvements in healthcare and material science.

Research Skills

Noha Aboqara exhibits a robust set of research skills that underscore her academic and technical prowess. Her expertise spans advanced simulation and modeling techniques, including proficiency in Lumerical (FDTD, DEVICE, MODE), MATLAB, and C++. She has demonstrated her capability in designing and analyzing complex systems, such as novel photonics-based drug delivery methods and GaN laser applications. Noha’s research projects also highlight her adeptness with machine learning techniques, including KNN and gradient descent. Her hands-on experience with various design tools, like CST and Cadence, complements her strong theoretical foundation. Additionally, her ability to synthesize and apply innovative materials, such as lanthanide-doped upconverting materials, showcases her versatility. Her internships and teaching roles further reflect her competence in both practical and theoretical aspects of research, making her a well-rounded and skilled researcher.

Publications Top Notes
  1. Comprehensive Modelling for Time‐Dependent Magneto‐Optical Transmission Spectrum of Hematite Ferrofluid
  • Authors: Noha S. Aboqara, Ahmed Hisham E. Morshed, Yasser M. Sabry
  • Journal: Advanced Theory and Simulations
  • Publication Date: August 22, 2024
  • DOI: 10.1002/adts.202400681
  • Citations: 0 (since the publication is recent and has not yet been cited)