Assist Prof Dr Maged A. Aldhaeebi | Electromagnetics | Best Researcher Award
Dr. in a college, Prince Salman Bin Abdulaziz University, Saudi Arabia
Maged Abdullah Aldhaeebi is a Yemeni researcher and educator specializing in biomedical engineering and microwave technology. Born on July 17, 1983, in Tarim, Hadhramout, Yemen, he earned his PhD from the University of Waterloo, focusing on intelligent microwaves for breast cancer detection. With a robust background in electrical engineering, Maged has held various academic positions, contributing to both teaching and research. His commitment to advancing cancer detection technologies through innovative methods showcases his dedication to improving healthcare outcomes. Beyond academia, Maged actively engages in workshops and mentoring, fostering the next generation of engineers. His work emphasizes collaboration and the integration of machine learning with engineering applications.
Profile
Strengths for the Award
- Extensive Educational Background:
- PhD from the University of Waterloo focused on intelligent microwaves for cancer detection, showcasing a strong foundation in biomedical engineering.
- Master’s and Bachelor’s degrees in Electrical Engineering, providing a comprehensive understanding of relevant technologies.
- Diverse Research Interests:
- Specializes in early detection and treatment of cancer, with specific focus on microwave sensors, metamaterials, and machine learning.
- Active in innovative areas such as nan-invasive monitoring and hyperthermia treatment, which are crucial in advancing cancer care.
- Proven Research Experience:
- Multiple roles as a research assistant across prestigious universities, contributing to projects aimed at developing non-invasive cancer detection systems.
- Published multiple articles in reputable journals, demonstrating a commitment to advancing knowledge in his field.
- Teaching and Academic Service:
- Experience as an instructor and teaching assistant, indicating strong communication skills and a dedication to education.
- Active involvement in workshops and supervision of student projects, contributing to the development of future engineers.
- Technical and Simulation Skills:
- Proficient in advanced simulation software (CST, HFSS, MATLAB), essential for research in microwave engineering and sensor development.
- Strong analytical skills evidenced by experience in optimizing microwave sensor sensitivity.
- Awards and Recognitions:
- Numerous scholarships and awards highlight his academic excellence and contributions to engineering, indicating recognition from peers and institutions.
Areas for Improvement
- Broader Collaboration:
- Encouraging interdisciplinary research collaborations could enhance the impact of his work and lead to innovative solutions that combine different fields.
- Increased Public Engagement:
- Engaging in more outreach activities or public lectures could raise awareness about his research, especially its implications for cancer detection and treatment.
- Mentorship Development:
- Focusing on developing structured mentorship programs for students could enhance the learning experience and foster a stronger academic community.\
Education
Maged Aldhaeebi holds a Doctor of Philosophy (PhD) in Electrical and Computer Engineering from the University of Waterloo, awarded in June 2020. His doctoral thesis, titled “Intelligent Microwaves-Based Modalities for Breast Cancer Detection,” was supervised by Prof. Omar Ramahi. Prior to his PhD, Maged earned a Master of Science (M.Sc.) degree in Electrical Engineering from King Saud University in August 2014, focusing on the localization of microwave energy for hyperthermia treatment of brain tumors. His master’s thesis was guided by Prof. Ibrahim Elshafiey. Maged also completed a Bachelor’s degree in Electronics and Communication Engineering at Hadhramout University in July 2009, where he designed a control system for production lines. This strong academic foundation has equipped him with a comprehensive understanding of engineering principles, particularly in microwave technologies and their applications in biomedical fields.
Experience
Maged Abdullah Aldhaeebi has extensive research and teaching experience in the field of electrical engineering and biomedical applications. He served as a Research Assistant at King Saud University from 2011 to 2014, where he contributed to developing a system for brain cancer treatment. At the University of Waterloo (2016-2020), he focused on creating a non-invasive system for early-stage breast cancer detection. Currently, he is a Research Assistant at Prince Sattam Bin Abdulaziz University, working on funded projects related to microwave technologies. Maged has also held teaching positions, including as an instructor at Hadhramout University and as a teaching assistant at both King Saud University and the University of Waterloo, where he facilitated courses in electromagnetic engineering, microwave engineering, and MATLAB programming. His diverse roles underscore his commitment to both advancing research and nurturing the next generation of engineers through education.
Awards and Honors
Maged Abdullah Aldhaeebi has received numerous awards and scholarships recognizing his academic excellence and contributions to engineering. In 2005, he was awarded a scholarship from the Hadramout Establishment for Human Development to support his undergraduate studies. He received the Best Arab Student Award from the University of Assiut, Egypt, in 2008 and was honored with the First Place Award at the University of Hadramout, presented by the President of Yemen in 2009. Maged’s academic journey continued with scholarships for his Master’s studies at King Saud University. He has also been recognized with multiple awards for scientific excellence, including the First Annual Scientific Meeting Award at King Saud University in 2013 and several Faculty of Engineering Awards from the University of Waterloo from 2016 to 2019. His accolades reflect his dedication to research, teaching, and contributions to the field of engineering.
Research Focus
Maged Abdullah Aldhaeebi’s research focuses on advancing techniques for the early detection, monitoring, and treatment of cancer through innovative engineering methods. His work prominently features the development of nan-invasive microwave sensors for breast cancer detection, utilizing machine learning algorithms to classify normal and tumor cells effectively. Maged is also engaged in exploring metamaterials and metasurfaces for sensor applications, which can significantly enhance detection capabilities. Additionally, he investigates hyperthermia treatment techniques for both brain and breast tumors, aiming to improve therapeutic outcomes. His research extends to the development of microwave energy harvesting systems, which have potential applications in various biomedical technologies. Maged’s interdisciplinary approach integrates artificial intelligence with engineering principles, allowing for the creation of non-invasive, cost-effective solutions that can transform cancer detection and treatment, ultimately contributing to better healthcare strategies.
Publication Top Notes
- Near-field metasurface sensor for an early-stage breast cancer detection 📄
- Design of X-Band Circulator and Isolator for High-Peak-Power Applications 📡
- An Interference-Based Quadruple-L Cross Metasurface Absorber for RF Energy Harvesting ⚡
- Double-Sided Metasurface Array for a Dual-Band and Polarization-Independent Microwave-Energy-Harvesting System 🌐
- Planar Dual Polarized Metasurface Array for Microwave Energy Harvesting 💡
Conclusion
Maged Abdullah Aldhaeebi is an outstanding candidate for the Best Researcher Award due to his strong academic background, diverse research interests, and proven experience in significant projects aimed at advancing cancer detection and treatment. His commitment to education and active participation in academic service further solidify his qualifications. By addressing areas for improvement, particularly in collaboration and public engagement, he can amplify the impact of his research and contributions to the field of biomedical engineering.