Forshing Lui | Neurology | Best Researcher Award

Prof. Forshing Lui | Neurology | Best Researcher Award

Dr. For-Shing Lui, a U.S. citizen and licensed neurologist in California, the UK, and Hong Kong, is an esteemed academic and clinician with over four decades of international experience in neurology and internal medicine, currently serving as Professor of Neurology at California Northstate University College of Medicine (CNUCOM), where he contributes significantly to medical education, curriculum development, and professional regulatory boards.

Profile

Education 🎓

Dr. Lui completed his M.B.B.S. from the University of Hong Kong in 1978, followed by an internal medicine residency (1978–1982) at the same institution; he then undertook neurology fellowship training at Newcastle General Hospital, UK (1982–1984), and a neurology residency at UC Davis (1995–1999), also serving as Chief Resident; his qualifications include being a Diplomate of the American Board of Psychiatry and Neurology, Fellow of the Royal College of Physicians (Edinburgh), Fellow of the Hong Kong Academy of Medicine, and Fellow of the American Academy of Neurology.

Experience 👨‍🏫

Dr. Lui has served as Expert Consultant and Reviewer for the Medical Board of California, Professor and Course Director at CNUCOM since 2014, Chair of Clinical Sciences, and Vice Chair of Education; formerly, he was Staff Neurologist and Chief of Neurology at Kaiser Permanente, Clinical Professor at UC Davis, and practiced as a neurologist and internist in Hong Kong; his roles spanned clinical practice, academic leadership, curriculum design, quality assurance, and international consultancy.

Awards & Recognitions 🏅

Dr. Lui received the 2022 A.B. Baker Teacher Recognition Award from the American Academy of Neurology, the ITLE University Distinguished Teacher Award in 2021, and multiple CNUCOM Professor of the Year Awards (2019–2023); his national recognitions include listings in America’s Top Physicians and Sacramento Magazine’s Top Doctors; he won the Croucher Fellowship (1982), John Anderson Gold Medal (1978), and several medical school scholarships for academic excellence, including the Li Shu Fan Prize in Pharmacology.

Research Interests 🔬

Dr. Lui’s academic and clinical interests lie in neurology education, vascular neurology, neuroimaging, and multiple sclerosis, with a deep commitment to medical pedagogy and curriculum leadership; his research integrates neurodiagnostic techniques with clinical neurology, particularly in imaging-based teaching, and he has presented regularly at neuroradiology conferences and contributed to educational innovation in neurology training at both Kaiser Permanente and CNUCOM, reflecting a lifelong dedication to mentoring, patient care, and advancing neurologic knowledge.

Manijeh Beigi | Medical Physics | Best Researcher Award

Dr. Manijeh Beigi | Medical Physics | Best Researcher Award

Dr. Manijeh Beigi is an Assistant Professor in the Radiation Oncology Department at Iran University of Medical Sciences. She specializes in dosimetry, radiotherapy treatment planning, and quality audits, with a focus on using machine learning for radiomics and dosiomics analysis. Dr. Beigi earned her Ph.D. in Medical Physics from Tehran University of Medical Sciences in 2018, where she researched the application of Diffusion Tensor Imaging (DTI) in radiotherapy planning. With over a decade of experience in radiotherapy physics, she has worked in multiple hospitals, including Imam Hosein, Haft-e-Tir, and Pardis Niloo Cancer Center. She is actively involved in research on predicting radiotherapy toxicity and advanced MR imaging applications. Dr. Beigi has mentored numerous students, contributed to high-impact journals, and presented at international conferences. Her research aims to enhance radiotherapy precision and patient safety through cutting-edge imaging and AI-driven models. 🎓🔬

Profile

Education 🎓

Dr. Manijeh Beigi holds a Ph.D. in Medical Physics (2018) from Tehran University of Medical Sciences, where she developed automated clinical target volume determination for glioma treatment using multiparametric MRI. She completed her M.Sc. in Medical Physics (2010) at Tarbiat Modares University, focusing on radiotherapy dosimetry and quality audits in Varian linear accelerators. Her coursework covered key topics such as radiotherapy physics, radiobiology, MRI, CT, and PET physics, statistical methods, and treatment planning. Throughout her academic journey, she has specialized in advanced imaging techniques, radiomics, and AI-based predictive modeling for radiotherapy applications. Dr. Beigi’s education has provided her with strong expertise in medical physics, treatment planning optimization, and quality assurance, positioning her as a leader in radiation oncology research and innovation. 📚

Experience 👨‍🏫

Dr. Manijeh Beigi has been an Assistant Professor at Iran University of Medical Sciences since 2020, where she focuses on radiotherapy physics, treatment planning, and quality assurance. Previously, she worked as a Radiotherapy Physicist at Imam Hosein Hospital (2010-2016), Haft-e-Tir Hospital (2016-Present), and Pardis Niloo Cancer Center (2019-2021), specializing in 3D conformal radiotherapy, IMRT planning, machine QA, and dosimetry. She was also a Research Assistant (2012-2018) at Tehran University of Medical Sciences, collaborating on quantitative MRI and spectroscopy research. Dr. Beigi has significant experience in mentoring students, managing research projects, and implementing AI-driven radiotherapy solutions. Her work integrates imaging and machine learning to optimize treatment efficacy and minimize patient toxicity. 💼🔬

Research Interests 🔬

Dr. Manijeh Beigi’s research centers on dosimetry, radiotherapy quality audits, and the application of machine learning in radiomics and dosiomics. She explores AI-driven models to predict radiotherapy toxicity and optimize treatment planning. Her work integrates advanced MRI techniques, such as Diffusion Tensor Imaging (DTI), to enhance clinical target volume delineation for gliomas and other cancers. She investigates imaging biomarkers to assess radiation-induced damage and improve treatment precision. Additionally, Dr. Beigi is actively involved in multi-disciplinary research collaborations, utilizing deep learning for medical image analysis. Her contributions aim to advance radiation oncology by improving accuracy, reducing side effects, and personalizing treatment plans. 🧬📡

Dr. Manijeh Beigi has received several accolades for her contributions to medical physics and radiotherapy research. She has been recognized for her work in AI-driven radiomics and dosiomics at international conferences, including ESTRO and AAPM. Her research on glioma segmentation using DTI and radiotherapy toxicity prediction has been published in top-tier journals. She has also been awarded grants for her studies on advanced MRI applications in radiotherapy planning. Additionally, Dr. Beigi has played a key role in multi-institutional research collaborations, earning recognition for her leadership in medical imaging and quality assurance. 🏆🎖️

Publications 📚