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Mohsen Mollazadeh
Algorithm Manager at Apple
Professional Background
Mohsen Mollazadeh is a seasoned expert in biomedical engineering and algorithm development, who currently serves as the Algorithm Engineering Manager at Apple since September 2014. With a wealth of experience in both research and applied sciences, Mohsen has carved out an impressive career that bridges the gap between engineering and innovative technologies in the field of biomedical instrumentation. Before joining Apple, he dedicated himself to advancing sensor technologies as a Senior Systems Engineer at Advanced Bionics, where he contributed significantly to the development of groundbreaking medical devices.
With a strong foundation in engineering principles and a passion for innovation, Mohsen's role at Apple focuses on leading teams and developing algorithms that power some of the industry’s most cutting-edge technologies. His versatility and capability across multiple domains underscore his position as a leading figure in algorithmic engineering, particularly in health-related technologies.
Education and Achievements
Mohsen Mollazadeh has a robust academic background, highlighted by his Ph.D. in Biomedical Engineering from the renowned Johns Hopkins University, where he cultivated a profound knowledge of neuroscience, VLSI neural recording systems, radiofrequency telemetry for implantable systems, and brain-machine interface systems. During his time at Johns Hopkins, he published over 10 scholarly papers that have significantly contributed to the field of biomedical engineering.
In addition to his Ph.D., he earned a Master of Science in Engineering in Biomedical Engineering and a Bachelor of Science in Electrical Engineering, both from Johns Hopkins and Sharif University of Technology respectively. His studies not only laid a solid technical groundwork but also instilled in him an appreciation for the intricate challenges in the intersection of technology and medicine.
Notable Contributions and Expertise
Beyond his educational qualifications, Mohsen stands out for his deep expertise in several key areas, including machine learning, statistics, and signal processing. These specialties have allowed him to excel in developing complex biomedical instrumentation systems. His proficiency in mixed signal VLSI design adds another layer to his expertise, enabling him to oversee intricate product developments from conception to realization.
Moreover, Mohsen has been an active contributor to the academic community. Since 2007, he has served as a scientific reviewer for various IEEE Transaction journals, providing valuable feedback and insights to assist other researchers and organizations in their publication endeavors. His involvement extends to his role as a session chair for prominent IEEE BioCAS and EMBC conferences, where he not only shares his knowledge but also helps to shape the direction of future research in biomedical engineering.
Achievements
- Published Author: Authored over 10 papers during his doctoral studies and research career, focusing on areas such as neuroscience, brain-machine interfaces, and implantable systems.
- Senior Engineering Positions: Transitioned successfully through various roles, currently leading algorithm engineering at Apple, building on his previous experience at Advanced Bionics.
- Community Contributor: Active reviewer for IEEE Transaction journals, shaping the future of research within the biomedical engineering community.
- Conference Chair: Served as chair for sessions on technical advancements at prominent IEEE conferences, enhancing the dialogue on innovative solutions in the biomedical field.
Through Mohsen Mollazadeh's exemplary education and diverse range of professional experiences, he has positioned himself at the forefront of biomedical engineering and algorithm development. His ability to intertwine theoretical knowledge with practical application makes him an indispensable asset to the engineering teams he leads, driving innovation and advancing modern medical technologies.
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