PHD | University of Tabriz, Iran
Sajjad Mortazavi, born on June, is a PhD student in Cognitive Neuroscience with a specialization in Computing and Artificial Intelligence at the University of Tabriz, Iran. A native of Sarab County, Tabriz, he is an emerging researcher in the intersection of neuroscience, biomedical engineering, and photonics. Sajjad’s current research includes plasmonic metasurfaces for cancer cell ablation and medical sensor design. With expertise in computational modeling, optical engineering, and AI applications, he has already contributed multiple peer-reviewed publications. Fluent in English and Persian, Sajjad is proficient in MATLAB, Python, and COMSOL, supporting his technical and analytical capabilities. His interdisciplinary approach blends artificial intelligence with practical healthcare innovations. As a young scientist, he has demonstrated potential in applying advanced technologies to solve real-world problems in medicine. Sajjad is committed to advancing research at the convergence of nanotechnology, neuroscience, and AI to contribute to the future of intelligent biomedical solutions.
Profile
Scholar
🎓 Education
Sajjad Mortazavi began his PhD studies in 2023 at the University of Tabriz, Iran, focusing on Cognitive Neuroscience with emphasis on Computing and Artificial Intelligence. His academic path demonstrates a strong interdisciplinary foundation integrating neuroscience, photonics, and biomedical engineering. During his doctoral studies, Sajjad has centered his research on plasmonic metasurfaces, cancer cell ablation, and the development of intelligent systems for medical applications. His educational pursuits reflect a deep commitment to scientific exploration at the interface of biology and engineering. Through rigorous coursework and hands-on research, he is building robust knowledge in nanophotonics, neural computation, and AI-driven diagnostics. Sajjad’s academic training equips him with both theoretical insight and practical experience in computational modeling, sensor development, and intelligent healthcare technologies. His current PhD work builds upon a solid understanding of neural mechanisms and AI applications, aiming to develop next-generation biomedical solutions for critical health issues such as cancer and neurological disorders.
🧪 Experience
Sajjad Mortazavi’s research experience encompasses advanced simulation, computational modeling, and the integration of AI in biomedical systems. While pursuing his PhD at the University of Tabriz since 2023, he has been involved in multiple interdisciplinary projects, focusing on cancer therapy using photonic tools and artificial intelligence in cognitive neuroscience. His hands-on experience includes designing carbon monoxide sensors for medical diagnostics and plasmonic metasurfaces for cancer cell ablation. He has contributed as a co-author to peer-reviewed journals such as Optical Engineering and Optik, showcasing a practical ability to translate complex scientific concepts into real-world applications. Sajjad is proficient in software tools like COMSOL, MATLAB, and Python, which he uses for numerical analysis, simulations, and model validation. With a growing portfolio of research in sensor design and phototherapy, Sajjad is gaining recognition as a skilled interdisciplinary researcher committed to developing AI-powered tools for neurological and biomedical innovation.
🏅 Awards & Honors
While Sajjad Mortazavi is in the early stages of his research career, he has already made notable contributions to scientific literature, with publications cited in international journals. His article in Optical Engineering on carbon monoxide sensors has been cited four times, reflecting growing recognition of his work. He is co-author of two upcoming papers on cancer phototherapy and plasmonic metasurfaces, indicating strong collaborative research involvement. His selection for the PhD program in Cognitive Neuroscience – Computing and AI at the prestigious University of Tabriz highlights academic merit and research potential. Though formal awards have not yet been listed, Sajjad’s publishing track and involvement in high-level research demonstrate scholarly excellence and future promise. His work intersects cutting-edge fields, and his continued publication in peer-reviewed journals positions him for recognition in biomedical optics, AI-driven neuroscience, and sensor development for clinical applications. He is poised for future honors as his research progresses.
🔬 Research Focus
Sajjad Mortazavi’s research lies at the intersection of cognitive neuroscience, biomedical engineering, and artificial intelligence. His primary focus is on designing plasmonic metasurfaces to ablate cancer and tumor cells through photothermal effects. He also explores photonics-based sensor systems for non-invasive medical diagnostics, as evidenced by his work on carbon monoxide sensors for hyperbilirubinemia diagnosis. In the field of cognitive neuroscience, he applies AI techniques to model brain function, aiming to decode neural mechanisms computationally. His research combines Python-based machine learning, COMSOL simulations, and MATLAB modeling to create intelligent biomedical tools. Additionally, Sajjad investigates the therapeutic potential of carbon nanotubes and carbon dots in phototherapy, particularly for pancreatic cancer. His work bridges gaps between theoretical neuroscience and practical medical technology. His interdisciplinary research contributes to next-generation health solutions that are minimally invasive, data-driven, and AI-enhanced—advancing both scientific knowledge and clinical application in cancer therapy and neural modeling.
Conclusion
With a strong interdisciplinary research focus, early peer-reviewed publications, and a drive to integrate AI with biomedical applications, Sajjad Mortazavi exemplifies the potential and vision sought in a Young Scientist Award recipient. His current trajectory indicates a future leader in the convergence of cognitive neuroscience and medical engineering. With continued research momentum and broader dissemination, he is highly deserving of recognition through this award.
Publication
📄 Article 1
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Title: Hollow core photonic crystal fiber based carbon monoxide sensor design applicable for hyperbilirubinemia diagnosis
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Year: 2023
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Authors: S. Mortazavi, S. Makouei, S.M. Garamaleki
📄 Article 2
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Title: Optimized Plasmonic Metasurface for Efficient Ablating of Cancer and Tumor Cells
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Year: 2025
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Authors: L. Ghasemzadeh, K. Abbasian, S. Mortazavi
📄 Article 3
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Title: An Approach to Pancreatic Cancer Phototherapy Using CNTs and Carbon Dots
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Year: 2025
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Authors: K. Abbasian, S. Alizadeh, S. Mortazavi