Dr. Saeed Shanehsazzadeh | Molecular imaging | Best Researcher Award
Dr. Saeed Shanehsazzadeh, UNSW, Australia
Dr. Saeed Shanehsazzadeh π is a renowned medical physicist and researcher specializing in molecular imaging, radiopharmaceuticals, and advanced data analysis. With over a decade of experience π across Australia, Singapore, Canada, Belgium, and Iran, he has contributed significantly to Alzheimer’s disease detection using magnetic nanoparticles π§ β¨. Currently a Fellow at the Centre for Healthy Brain Ageing (CHEBA) at UNSW Sydney π«, Dr. Shanehsazzadeh has published 52 papers π, received 1,475 citations π, and achieved an H-index of 24 π. His expertise includes Python-based imaging analysis π and nanotracer development π§ͺ, earning him global recognition and numerous awards π.
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
- π PhD in Medical Physics β Tehran University of Medical Sciences
- π« Fellow β Centre for Healthy Brain Ageing (CHEBA), UNSW Sydney
- π Fellow β National Imaging Facility, Australia
- π‘ Research Positions β National University of Singapore, University of Saskatchewan, Belgium institutions
- π§ͺ Postdoctoral Research β Molecular imaging and radiopharmaceutical development
- πΎ Expertise in Preclinical Imaging β PET, MRI, CT
Professional DevelopmentΒ
Dr. Shanehsazzadeh is a versatile researcher π― with technical mastery in molecular imaging π§¬, nanotracer quality control π§ͺ, and radiopharmaceutical development π§«. He excels in Python and MATLAB programming π for imaging data analysis and pharmacokinetic modeling π. His preclinical imaging expertise πΎ spans PET, MRI, and CT technologies, alongside radiomics and biostatistical programming. A dedicated mentor π©βπ«, he has supervised PhD and MSc students, contributing to professional growth π. Through innovation and collaboration π€, he has secured competitive grants π° and driven impactful research, solidifying his position as a leader in medical physics and translational science π¬.
Research Focus
Dr. Shanehsazzadehβs research centers on molecular imaging 𧬠and nanotechnology applications π§ͺ in medicine, particularly for neurological disorders π§ . His pioneering work includes Alzheimerβs disease detection through magnetic nanoparticles β¨, radiopharmaceutical development for cancer imaging ποΈ, and advanced pharmacokinetic modeling π. He explores radiomics πΌοΈ to enhance diagnostic accuracy and drug delivery systems π for therapeutic interventions. Animal imaging (PET, MRI, CT) πΎ forms the backbone of his preclinical investigations, complemented by his proficiency in Python-based data analysis π. His research advances precision medicine π―, ensuring innovative solutions for complex healthcare challenges π.
Awards and HonorsΒ
- π Best Presentation Awards β Multiple international conferences
- βοΈ Prestigious Travel Grants β Recognized for global collaborations
- π Research Excellence Awards β Acknowledged for impactful contributions
- π Competitive Grant Recipient β Funding for cutting-edge projects
- π¨βπ« Mentorship Recognition β For nurturing future scientists
Publication Top Notes:
- Blood-Nanoparticle Interactions Create a Brain Delivery Superhighway for Doxorubicin π§ π
Cited by: 2. - Small Zinc-Doped Iron Oxide Tracers for Magnetic Particle Imaging π§²π‘
Cited by: 3. - Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence π€π§¬
Cited by: 16. - Predicting Drug Release and Degradation Kinetics of Long-Acting Microsphere Formulations of Tacrolimus for Subcutaneous Injection π¬π
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 π§ͺπΌοΈ
Cited by: 8.