Dr. Ali Yazdani, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran
Ali Yazdani is a biomedical engineer affiliated with the School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran. His research primarily focuses on early cancer detection, MRI contrast agents, and bioprinting. He has contributed to groundbreaking projects in image processing for medical applications, sperm isolation using microfluidics, and tissue engineering. As the Managing Director of Omid-Afarinan Mohandesi Ayandeh Co., he plays a pivotal role in developing 3D bioprinters. He has also collaborated with Parsis Co. to develop a smart surgical software and worked at the Royan Institute to model stem cell injection timing for Lupus treatment. With three publications in indexed journals, seven research projects, ten industry projects, and one patent, his work has significantly advanced the field of biomedical engineering. His contributions to MRI contrast agent synthesis from herbal sources highlight his innovative approach in medical imaging.
Professional Profile:
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Summary of Suitability for Award:
Ali Yazdani is an outstanding biomedical engineer with expertise in early cancer detection, MRI contrast agents, and bioprinting. His strong academic background from the University of Tehran and interdisciplinary research contributions make him a highly qualified candidate for the Best Researcher Award. He has seven completed/ongoing research projects, ten industry collaborations, one patent, and three journal publications in SCI/Scopus-indexed journals. His work on herbal-based MRI contrast agents, AI-driven surgical software, and 3D bioprinting has made significant contributions to biomedical imaging, regenerative medicine, and personalized healthcare. His leadership as Managing Director of Omid-Afarinan Mohandesi Ayandeh Co. further highlights his innovative impact. Given his exceptional research output, innovation in medical imaging, and impactful industry collaborations, Ali Yazdani is a strong contender for the “Best Researcher Award.”
šEducation:
Ali Yazdani pursued Bachelorās, Masterās, and Ph.D. degrees in Biomedical Engineering at the University of Tehran. He was part of the Electrical and Computer Engineering faculty, where he specialized in mathematical modeling of autoimmune diseases and imaging techniques for early cancer detection. His research during his doctoral studies was focused on alternative sources for MRI contrast agents, where he proposed an herbal-based approach to enhance MRI imaging quality. His academic journey was enriched with hands-on laboratory experiments, validating the efficiency of herbal-based MRI contrast agents. Throughout his education, he worked on interdisciplinary projects, combining engineering, medical sciences, and biotechnology to address critical challenges in medical imaging and diagnostics. His expertise in bioprinting, medical imaging, and stem cell research has been instrumental in his continued contributions to biomedical engineering.
š¢Work Experience:
Ali Yazdani has extensive experience in biomedical research and innovation. He is currently affiliated with the University of Tehran, where he has contributed to seven research projects and ten industry-sponsored projects. As the Managing Director of Omid-Afarinan Mohandesi Ayandeh Co., he is actively involved in 3D bioprinting technology. His collaboration with Parsis Co. led to the development of an AI-driven surgical guidance software. At the Royan Institute, he played a key role in a system identification project, modeling stem cell injection timing for Lupus patients. His expertise extends to medical image processing, tissue engineering, and regenerative medicine. His consulting work has supported multiple biomedical startups and research groups. With hands-on experience in MRI contrast agent synthesis, bioprinting, and stem cell research, he has significantly contributed to healthcare innovations, making biomedical diagnostics more accessible and efficient.
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Awards:Ā
Ali Yazdani has been recognized for his contributions to biomedical engineering and innovation. His research on herbal-based MRI contrast agents earned him recognition at international medical imaging conferences. As the Managing Director of Omid-Afarinan Mohandesi Ayandeh Co., he received industry appreciation for developing 3D bioprinting technology. His work on AI-driven surgical guidance software at Parsis Co. was acknowledged as a pioneering advancement in smart surgery. His stem cell research at Royan Institute was highly regarded in the regenerative medicine field. He has also received accolades for his industry collaborations, having led ten consultancy projects. His patent on organic MRI contrast agents showcases his innovative contributions to non-invasive diagnostics. With a strong impact on medical imaging, bioprinting, and regenerative medicine, his achievements have positioned him as a leading researcher in the field of biomedical engineering.
š¬Research Focus:
Ali Yazdaniās research spans across early cancer detection, MRI contrast agents, and bioprinting. His groundbreaking work in mathematical modeling of autoimmune diseases has contributed to better understanding of disease progression. His research on MRI contrast agents aims to replace synthetic agents with herbal-based alternatives, improving biocompatibility and reducing toxicity. His innovations in bioprinting technology focus on the synthesis of viable tissues for regenerative medicine. His image processing research includes X-marker detection for surgical tools and sperm isolation using microfluidics. His stem cell differentiation research utilizes periodic pulses to enhance cardiac cell regeneration. His contributions to ultrasonic and UV-based dormancy breaking of special beads have potential applications in biotechnology and medicine. His interdisciplinary approachāblending engineering, medical imaging, and regenerative medicineāmakes his research highly impactful in healthcare technology and diagnostics.
Publication Top Notes:
A biological and a mathematical model of SLE treated by mesenchymal stem cells covering all the stages of the disease
Authors: A. Yazdani, F. Bahrami, A. Pourgholaminejad, R. Moghadasali
Journal: Theory in Biosciences
Volume: 142 (2), 167-179
Citations: 4
Year: 2023
Sub-pixel X-marker detection by Hough transform
Authors: A. Yazdani, H. Aalizadeh, F. Karimi, S. Solouki, H. Soltanian-Zadeh
Conference: 2018 25th National and 3rd International Iranian Conference on Biomedical ā¦
Citations: 3
Year: 2018
A New Herbal Source of Synthesizing Contrast Agents for Magnetic Resonance Imaging
Authors: A. Yazdani, A. Okhovat, R. Doosti, H. SoltanianāZadeh
Journal: International Journal of Imaging Systems and Technology
Volume: 34 (4), e23136
Citations: Not available (2024 publication)
Year: 2024
Modification of a Herbal MRI Contrast Agent: Biological Effect and Relaxivity
Authors: A. Yazdani, A. Okhovat, R. Doosti, M. Saber, H. Soltanian-Zadeh
Conference: 2023 30th National and 8th International Iranian Conference on Biomedical ā¦
Citations: Not available
Year: 2023