Published on 08/10/202508/10/2025 by World Top Scientists Dr. Mousa Moradi | Ophthalmology | Best Researcher Award Mousa Moradi | Harvard University | United States Dr. Mousa Moradi is a Postdoctoral Research Fellow at Harvard Medical School, specializing in computational modeling, medical image analysis, and healthcare artificial intelligence. He earned his Ph.D. in Biomedical Engineering from the University of Massachusetts Amherst, where his work focused on developing AI-based algorithms for disease detection in ophthalmology and kidney assessment. His interdisciplinary research combines deep learning, clinical data analytics, and medical imaging to improve diagnostic precision and personalized care. Dr. Moradi has contributed to multiple peer-reviewed publications and presented at leading international conferences. He actively serves as a reviewer for top scientific journals and is a member of the Optica Open Advisory Board. His research achievements have been recognized with several awards for excellence and innovation in biomedical engineering. Dr. Moradi’s measurable research impact, as recorded in Scopus, includes 77 citations, 9 documents, and an h-index of 4. Profiles: Google Scholar | Scopus | ORCID Featured Publications 1. Moradi, M., Naghdi, N., Hemmati, H., Asadi-Samani, M., & Bahmani, M. (2016). Effect of ultra high frequency mobile phone radiation on human health. Electronic Physician, 8(5), 2452. 2. Moradi, M., Chen, Y., Du, X., & Seddon, J. M. (2023). Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans. Computers in Biology and Medicine, 154, 106512. 3. Ma, X., Moradi, M., Ma, X., Tang, Q., Levi, M., Chen, Y., & Zhang, H. (2024). Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography. Communications Engineering, 3(1), 122. 4. Moradi, M., Du, X., Huan, T., & Chen, Y. (2022). Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images. Biomedical Optics Express, 13(5), 2728–2738. 5. Moradi, M., Huan, T., Chen, Y., Du, X., & Seddon, J. (2022). Ensemble learning for AMD prediction using retina OCT scans. Investigative Ophthalmology & Visual Science, 63(7), 732–F0460–732–F0460.* Mousa Moradi | Ophthalmology | Best Researcher Award
Dr. Mousa Moradi is a Postdoctoral Research Fellow at Harvard Medical School, specializing in computational modeling, medical image analysis, and healthcare artificial intelligence. He earned his Ph.D. in Biomedical Engineering from the University of Massachusetts Amherst, where his work focused on developing AI-based algorithms for disease detection in ophthalmology and kidney assessment. His interdisciplinary research combines deep learning, clinical data analytics, and medical imaging to improve diagnostic precision and personalized care. Dr. Moradi has contributed to multiple peer-reviewed publications and presented at leading international conferences. He actively serves as a reviewer for top scientific journals and is a member of the Optica Open Advisory Board. His research achievements have been recognized with several awards for excellence and innovation in biomedical engineering. Dr. Moradi’s measurable research impact, as recorded in Scopus, includes 77 citations, 9 documents, and an h-index of 4. Profiles: Google Scholar | Scopus | ORCID Featured Publications 1. Moradi, M., Naghdi, N., Hemmati, H., Asadi-Samani, M., & Bahmani, M. (2016). Effect of ultra high frequency mobile phone radiation on human health. Electronic Physician, 8(5), 2452. 2. Moradi, M., Chen, Y., Du, X., & Seddon, J. M. (2023). Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans. Computers in Biology and Medicine, 154, 106512. 3. Ma, X., Moradi, M., Ma, X., Tang, Q., Levi, M., Chen, Y., & Zhang, H. (2024). Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography. Communications Engineering, 3(1), 122. 4. Moradi, M., Du, X., Huan, T., & Chen, Y. (2022). Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images. Biomedical Optics Express, 13(5), 2728–2738. 5. Moradi, M., Huan, T., Chen, Y., Du, X., & Seddon, J. (2022). Ensemble learning for AMD prediction using retina OCT scans. Investigative Ophthalmology & Visual Science, 63(7), 732–F0460–732–F0460.*