Dr. Saeed Shanehsazzadeh | Molecular imaging | Best Researcher Award
Dr. Saeed Shanehsazzadeh, UNSW, Australia
Dr. Saeed Shanehsazzadeh ๐ is a renowned medical physicist and researcher specializing in molecular imaging, radiopharmaceuticals, and advanced data analysis. With over a decade of experience ๐ across Australia, Singapore, Canada, Belgium, and Iran, he has contributed significantly to Alzheimer’s disease detection using magnetic nanoparticles ๐ง โจ. Currently a Fellow at the Centre for Healthy Brain Ageing (CHEBA) at UNSW Sydney ๐ซ, Dr. Shanehsazzadeh has published 52 papers ๐, received 1,475 citations ๐, and achieved an H-index of 24 ๐. His expertise includes Python-based imaging analysis ๐ and nanotracer development ๐งช, earning him global recognition and numerous awards ๐.
Professional Profile:
Summary of Suitability
Dr. Saeed Shanehsazzadeh is an exemplary researcher whose innovative contributions, technical expertise, and global collaborations make him a prime candidate for the “Best Researcher Award”. His work bridges the gap between fundamental science and clinical applications, offering transformative solutions to healthcare challenges.
Education and Experience
- ๐ PhD in Medical Physics โ Tehran University of Medical Sciences
- ๐ซ Fellow โ Centre for Healthy Brain Ageing (CHEBA), UNSW Sydney
- ๐ Fellow โ National Imaging Facility, Australia
- ๐ก Research Positions โ National University of Singapore, University of Saskatchewan, Belgium institutions
- ๐งช Postdoctoral Research โ Molecular imaging and radiopharmaceutical development
- ๐พ Expertise in Preclinical Imaging โ PET, MRI, CT
Professional Developmentย
Dr. Shanehsazzadeh is a versatile researcher ๐ฏ with technical mastery in molecular imaging ๐งฌ, nanotracer quality control ๐งช, and radiopharmaceutical development ๐งซ. He excels in Python and MATLAB programming ๐ for imaging data analysis and pharmacokinetic modeling ๐. His preclinical imaging expertise ๐พ spans PET, MRI, and CT technologies, alongside radiomics and biostatistical programming. A dedicated mentor ๐ฉโ๐ซ, he has supervised PhD and MSc students, contributing to professional growth ๐. Through innovation and collaboration ๐ค, he has secured competitive grants ๐ฐ and driven impactful research, solidifying his position as a leader in medical physics and translational science ๐ฌ.
Research Focus
Dr. Shanehsazzadehโs research centers on molecular imaging ๐งฌ and nanotechnology applications ๐งช in medicine, particularly for neurological disorders ๐ง . His pioneering work includes Alzheimerโs disease detection through magnetic nanoparticles โจ, radiopharmaceutical development for cancer imaging ๐๏ธ, and advanced pharmacokinetic modeling ๐. He explores radiomics ๐ผ๏ธ to enhance diagnostic accuracy and drug delivery systems ๐ for therapeutic interventions. Animal imaging (PET, MRI, CT) ๐พ forms the backbone of his preclinical investigations, complemented by his proficiency in Python-based data analysis ๐. His research advances precision medicine ๐ฏ, ensuring innovative solutions for complex healthcare challenges ๐.
Awards and Honorsย
- ๐ Best Presentation Awards โ Multiple international conferences
- โ๏ธ Prestigious Travel Grants โ Recognized for global collaborations
- ๐ Research Excellence Awards โ Acknowledged for impactful contributions
- ๐ Competitive Grant Recipient โ Funding for cutting-edge projects
- ๐จโ๐ซ Mentorship Recognition โ For nurturing future scientists
Publication Top Notes:
- Blood-Nanoparticle Interactions Create a Brain Delivery Superhighway for Doxorubicin ๐ง ๐
Cited by: 2. - Small Zinc-Doped Iron Oxide Tracers for Magnetic Particle Imaging ๐งฒ๐ก
Cited by: 3. - Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence ๐ค๐งฌ
Cited by: 16. - Predicting Drug Release and Degradation Kinetics of Long-Acting Microsphere Formulations of Tacrolimus for Subcutaneous Injection ๐ฌ๐
Cited by: 29. - Preliminary Studies of 68Ga-NODA-USPION-BBN as a Dual-Modality Contrast Agent for Use in Positron Emission Tomography/Magnetic Resonance Imaging ๐งช๐ผ๏ธ
Cited by: 8.