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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

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ultra low power CMOS logic devices

Mohammed Al-Qadasi

Ph.D. Student, Electrical and Computer Engineering

ultra low power CMOS logic devices

Mohammed Al-Qadasi is a Ph.D. student in the Electrical Engineering department at Integrated Circuit and System Research Group under the supervision of Prof. Hossein Fariborzi at King Abdullah University of Science and Technology (KAUST). Research Interests ​Mohammed's research interests include Ultra low power CMOS logic devices, Analog and Digital VLSI circuit design and Analog to Digital Converters (ADCs). Education Profile ​MSc. King Abdullah University of Science and Technology, Saudi Arabia, 2017. Professional Memberships ​IEEE Student Membership Awards and Distinctions 2018 Best Ph.D

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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