Mustansiriyah university | Iraq
Dr. Basaad Hadi Hamza is an Assistant Professor in Electro-Optical Physics at Mustansiriyah University, College of Sciences. With a Ph.D. in Electro-Optical Physics (2004) from Mustansiriyah University, his academic expertise spans simulation programs for electro-optical tracking systems and optical systems. His commitment to advancing the field of electro-optical physics is evident through his teaching and research contributions.
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Early Academic Pursuits 🎓
Dr. Basaad’s academic journey began at Mustansiriyah University, where he earned his B.Sc. in Physics (1992), followed by a M.Sc. in Nuclear Physics (1998), and eventually his Ph.D. in Electro-Optical Physics (2004). His doctoral thesis focused on the development of a simulation program for electro-optical tracking systems, laying the foundation for his career in applied physics.
Professional Endeavors 💼
Dr. Basaad has an extensive teaching background, contributing to the development of future scientists and engineers. He taught various undergraduate courses in Physics 1, Electricity and Magnetism, Thermodynamics, and Analytical Mechanics. He has also guided graduate students, particularly in specialized topics for Ph.D. comprehensive examinations. His professional affiliations include serving as the Chairman of the Diversity Committee, overseeing curriculum preparation, and leading both undergraduate and graduate examination committees.
Contributions and Research Focus 🔬
Dr. Basaad’s research focus includes polarization effects on soliton propagation, radiance calculations, and the discrimination of targets from background in infrared (IR) imagery. He is particularly interested in the development of simulation programs for transforming IR images across various bands, a significant contribution to remote sensing and infrared imaging technologies. His work also includes improving detector performance in optical spectral ranges to enhance the accuracy of images.
Impact and Influence 🌍
Dr. Basaad’s research has had a broad impact, particularly in IR imaging, target discrimination, and optical physics. His innovative work on transforming IR images from band to band, coupled with his simulation techniques, has contributed to advancements in defense technologies, remote sensing, and optical systems. His publications, including in journals like the International Journal of Application or Innovation in Engineering & Management and Mustansiriyah Journal of Science, highlight his significant role in these fields.
Research Skills 🔍
Dr. Basaad possesses strong analytical skills, particularly in the areas of simulation programming, optical imaging, and IR technology. His proficiency in simulation software and knowledge of IR wavelength bands make him a leader in image transformation techniques. His work on target discrimination using multi-channel data and threshold methods highlights his ability to solve complex problems in infrared imagery.
Teaching Experience 📘
Dr. Basaad’s teaching experience spans over two decades, during which he has taught a range of undergraduate and graduate-level physics courses. He has taught Physics 1, Electricity and Magnetism, Thermodynamics, and Analytical Mechanics, and has supervised graduate theses. His guidance on special topics for Ph.D. students and his role in preparing students for comprehensive exams demonstrates his deep commitment to academic development.
Legacy and Future Contributions 🌱
Dr. Basaad’s legacy is marked by his contributions to electro-optical physics, especially in the development of simulation techniques for infrared imaging. Looking ahead, he plans to continue advancing research in target discrimination and optical systems, with potential applications in remote sensing, security, and environmental monitoring. His ongoing mentorship of graduate students will further ensure his influence in academic research and scientific innovation.
Publications Top Notes
Green Synthesis of Silver Nanoparticles and Their Effect on the Skin Determined Using IR Thermography
Infrared Imaging of Skin Cancer Cell Treated with Copper Oxide and Silver Nanoparticles
People Identification via Tongue Print Using Fine-Tuning Deep Learning
People Recognition via Tongue Print Using Deep and Machine Learning
Improved Detector Performance Rendering in the Optical Spectral Ranges to Provide Accurate Image