Dr. Hamed Akbari is an Assistant Professor who has recently joined Santa Clara University (SCU) with a profound background in Artificial Intelligence (AI), Medical Image Processing, and Robotic Surgery. His academic journey has taken him from the Tehran University of Medical Sciences, where he earned his Doctor of Medicine (MD) degree, to the Tokyo Institute of Technology, where he gained expertise in the application of AI in Image-guided Robotic Surgery. Prior to joining SCU, he held the position of Senior Research Scientist at the Artificial Intelligence in Biomedical Imaging Lab (AIBIL) within the Center for Biomedical Image Computing & Analytics (CBICA), as well as the Department of Radiology at the University of Pennsylvania.
Dr. Akbari's primary focus centers on advancing patient care through the synergy of medical expertise and technological innovation. His extensive research portfolio encompasses various domains, including AI in medicine, clinical data science, image processing, pattern recognition, and machine learning. Through the strategic integration of diverse imaging modalities, from Magnetic Resonance Imaging (MRI) to hyperspectral and laparoscopic imagery, he has achieved remarkable breakthroughs in the quantitative analysis of image data, leading to improved diagnostics and personalized treatments. Within the realm of his work, his accomplishments span a wide range of applications. These include automating the detection of malignancies, refining the delineation of tumors, quantifying tissue perfusion, identifying radiogenomic biomarkers, and predicting clinical outcomes. This innovative approach holds immense promise across multiple fields, including personalized medicine, minimally invasive surgery, and treatment planning. By harnessing the power of computational algorithms and AI, his contributions drive forward medical innovation and ultimately contribute to the enhancement of patient outcomes.
As an Assistant Professor at SCU, he brings his unique blend of medical and technological expertise to enrich the academic community and foster collaborations that transcend disciplinary boundaries. His dedication to elevating patient care through groundbreaking research aligns seamlessly with the university's values and commitment to creating a positive impact on society.
- Introduction to Physiology (BIOE 21)
- Computer Programming in Python and MATLAB (BIOE 45)
- Biomaterials Science (BIOE 153)
- Introduction to Medical Imaging (BIOE 167)