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Mohammad Ghaffari
Technical Lead (AI-ML\HW-SW) - AI and Machine Learning Solution Engineer
Professional Background
Mohammad Ghaffari is a highly accomplished engineer with extensive experience in the semiconductor industry, demonstrating a profound understanding of semiconductor product and process development among global manufacturers. His primary focus has been on resolving yield issues and enhancing product performance through the utilization of advanced inspection techniques. By employing strategic analytical methodologies and showcasing strong problem-solving capabilities, he excels in identifying and distinguishing defects, ensuring his contributions significantly enhance yield rates and operational efficiency.
Throughout his career, Mohammad has taken on various roles, showcasing his collaborative communication style and strong leadership skills. He is dedicated to mentoring team members and working collectively to improve profitability and uphold brand reputation for the companies he represents. His experience spans product development, product planning, and debugging, making him a resourceful asset in any engineering project.
Mohammad has consistently demonstrated an ability to work effectively in cross-functional teams, leading multiple projects successfully while also participating in efforts led by others. His innovative mindset has resulted in several publications in well-regarded scientific journals, underlining his commitment to advancing the field of semiconductor engineering.
Education and Achievements
Mohammad’s academic background demonstrates a thorough foundation in materials science and engineering. He completed his PhD in Micro Electronics and Material Science and Engineering at Nanyang Technological University, where he gained critical knowledge in the micro and nano-scale fabrication processes. Following this, he furthered his education by earning a Master's degree in Corrosion Engineering and Materials Protection from Shiraz University, where he developed a solid grasp of materials characterization and protection techniques.
His journey in academia continued as he obtained an Associate’s Degree in Material Science and Environmental Engineering from the University of Illinois at Urbana-Champaign, paving the path for his further exploration into research. He subsequently enhanced his expertise through two Postdoctoral Fellowships – one focused on Nano/Micro Fabrication and Material Science at the University of Wisconsin-Madison, and another in Material Science and Engineering at Rutgers University-New Brunswick.
His educational foundation, combined with years of hands-on experience, has equipped Mohammad with significant insights into process engineering, failure analysis, and the multifaceted aspects of semiconductor technology. His proficiency in state-of-the-art characterization techniques is exceptional, enabling him to lead conversations around innovation and effectiveness in semiconductor processes.
Achievements
Mohammad Ghaffari is recognized for several significant achievements throughout his professional career. His mastery in semiconductor engineering includes a variety of fundamental areas such as bright field and dark field imaging, scanning electron microscopy (SEM), and innovative inspection strategies. He is well-versed in handling intricate project management aspects, from design to implementation, ensuring that projects meet their timelines and objectives.
His expertise extends into cleanroom environments with hands-on experience in fabrication and packaging technologies such as e-beam lithography, photolithography, and plasma etching. His analytical skills are further demonstrated in his capability to employ sophisticated characterization tools like Transmission Electron Microscopy (TEM), X-ray photoelectron spectroscopy (XPS), and particle size analyzers to derive critical insights into material properties.
As a Technical Lead for AI and Machine Learning Solutions at Intel Corporation, Mohammad has embraced cutting-edge technologies to innovate within the semiconductor sector. Previously, he contributed as a Senior Reliability and Product Development Engineer at KLA-Tencor, where his efforts significantly enhanced product quality and reliability. His prior roles also include that of Nanofabrication Scientist and Senior Process Engineer where his leadership was instrumental in guiding research initiatives and engineering processes.
Through continuous learning and adaptation, Mohammad Ghaffari has established a reputation as a resourceful problem solver, committed to researching, identifying, and integrating state-of-the-art technologies into existing products. His eagerness to mentor others and foster collaborative environments has not only helped in achieving project objectives but has also cultivated an atmosphere conducive to learning and innovation.
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