DS
Dr. Mohammed Zubair M. Shamim, PhD (UK), SMIEEE (USA)
SiliconTech, King Khalid University, University of Dundee, Glasgow Caledonian University, Terna Engineering College
0000-0002-9596-5205
Employment
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SiliconTech Director R&D2023 - Present
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King Khalid University Associate Professor [Micro-Nano Electronics] / R&D Consultant [Machine Intelligence]2012 - 2023
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Terna Engineering College Head of Department2011 - 2012
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University of Stuttgart Senior Research Scientist2009 - 2011
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Quantum Filament Technologies Ltd R&D Engineer / Scientist2005 - 2009
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University of Dundee Assistant Lecturer2003 - 2008
Education
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University of Dundee Master of Engineering (M.E.) in Electronics & Electrical Engineering2000 - 2003
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Glasgow Caledonian University University Diploma in Electronics Engineering1998 - 2000
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University of Dundee Doctor of Philosophy (Ph.D.) in Electronics Engineering [Specialization: Micro-Nano Electronics]? - 2008
Projects & Funding
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Remote, non-invasive detection of COVID-19 symptoms using human speech signals Deanship of Scientific Research, King Khalid University2020 - 2021
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Automated detection of oral tongue lesions using deep neural networks for early diagnosis of oral cavity cancer Deanship of Scientific Research, King Khalid University2018 - 2019
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Speaker recognition based on Statistical Distribution Fitting Deanship of Scientific Research, King Khalid University2017 - 2018
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Self-aligned silicon micro nano emitter arrays for field emission application Deanship of Scientific Research, King Khalid University2017 - 2018
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Acceleration of algorithms for in-process measurement techniques of nanostructured surfaces Deutsche Forschungsgemeinschaft2009 - 2011
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Driver electronics design and development for novel flat panel display technology. Knowledge Transfer Partnership Associate, United Kingdom2005 - 2009
Publications (40)
- Artificial Neural Network Modeling of Methylene Blue Adsorption Using Natural Saudi Red Clay Save
- Cooperative Scheme ToA-RSSI and Variable Anchor Positions for Sensors Localization in 2D Environments Save
- Diagnostic Accuracy of Smartphone-Connected Electrophysiological Biosensors for Prediction of Blood Glucose Level in a Type-2 Diabetic Patient Using Machine Learning: A Pilot Study Save
- Efficient adsorption of hexavalent chromium ions onto novel ferrochrome slag/polyaniline nanocomposite: ANN modeling, isotherms, kinetics, and thermodynamic studies Save
- Future Trends for Healthcare Monitoring System in Smart Cities Using LoRaWAN-Based WBAN Save
- Hardware Deployable Edge-AI Solution for Pre-screening of Oral Tongue Lesions using TinyML on Embedded Devices Save
- Low power hardware design and its mathematical modeling for fast-exact geolocalization system in wireless networks Save
- Speech as a Biomarker for COVID-19 Detection Using Machine Learning Save
- TinyML Model for Classifying Hazardous Volatile Organic Compounds Using Low-Power Embedded Edge Sensors: Perfecting Factory 5.0 Using Edge AI Save
- Automated Detection of Oral Pre-Cancerous Tongue Lesions Using Deep Learning for Early Diagnosis of Oral Cavity Cancer Save