Magdi Mohamed

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• BS@UofK–EE (1983), MS@UMC–CS (1990) & PhD@UMC–ECE (1995) • Electrical, Telecommunications, Computer HW & SW Engineering Experience • Graduate & Undergraduate Teaching Experience • Experience in GPR algorithms detecting faults in sewer pipes • Experience in GPR+MD fusion for detecting AP, AT landmine & IED hazards • Experience in Automatic Handwriting Recognition R&D • Experience in Image Algebra Applications • Experience in Real-Time Optical Motion Tracking Applications • Basic & Applied Research in Statistical and Fuzzy Modeling Techniques • Basic & Applied Research in HMM, ANN & SVM Computational Intelligence Paradigms • Basic & Applied Research in Digital Non

machine learning alignment problems facial analysis pattern recognition hough transform timm & barth eye tracking handwriting recognition iris detection computer vision anything over ip intelligent agent technologies seamless mobility constant amplitude signal chireix technique outphasing power amplifier image segmentation deformable object tracking motion estimation relaxation labeling support-vector-machines q-measures q-metrics q-aggregates q-filters q-machines q-logic

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Info

Magdi Mohamed

Präsentationen

Q-filter Structures for Advancing Pattern Recognition Systems

Q-Aggregate Based Gene Expression Programming

Q-Metric Based Support Vector Machines

Q-Metrics in Theory and Practice

Relaxation Methods and Means for Optical Tracking of Deformable Objects

Smart Power Amplifier

The Broker Phone

Gradient Direction Transform