Musa MUSTAPHA

PhD Holder in Artificial Intelligence, Machine Learning & Remote Sensing Specialist
Fes, MA.

About

Highly accomplished PhD holder in Artificial Intelligence specializing in advanced machine learning, remote sensing, and sustainability-focused modeling. Leverages deep expertise in AI/ML to develop innovative solutions for complex challenges in agriculture and healthcare, backed by a strong publication record in high-impact international journals and practical experience in teaching and field experimentation.

Work

Euro-Mediterranean University of Fes
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Graduate Research Teaching Assistant

Fes, Fès-Meknès, Morocco

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Summary

Developed and applied AI-remote sensing methodologies for agricultural modeling while contributing to research, publications, and student instruction.

Highlights

Developed advanced AI-remote sensing workflows for drought forecasting and crop yield modeling, utilizing Sentinel-2 data and deep learning models to enhance predictive accuracy.

Conducted rigorous field experiments on olive and wheat crops under varied AI-automated irrigation regimes, directly contributing to multiple publications and successful grant writing initiatives.

Delivered comprehensive tutorials and labs in AI, programming, and Machine Learning to over 50 students, significantly enhancing their practical skills and theoretical understanding.

Yobe State University
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Lecturer II

Yobe, Nigeria, Nigeria

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Summary

Led computer science education and research initiatives, delivering core courses and mentoring students to achieve departmental awards for innovation.

Highlights

Designed comprehensive course materials, assessments, and lab exercises, ensuring alignment with curriculum standards and enhancing student learning outcomes.

Delivered engaging lectures and practical sessions in AI, C/C++, Data Structures, and Operations Research to over 150 students, fostering strong foundational and advanced technical skills.

Mentored and supervised 12 final-year projects, guiding students from concept to completion and securing 3 departmental awards for outstanding research and innovation.

Danish Refugee Council
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IT Support Specialist

Nigeria, Nigeria, Nigeria

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Summary

Managed mission-critical IT infrastructure, ensuring 99.9% uptime and optimizing asset lifecycle for over 100 staff across multiple sites.

Highlights

Ensured 99.9% uptime for mission-critical IT infrastructure, providing proactive Level 2 support to 100+ staff across multiple sites.

Optimized asset procurement and security compliance, streamlining hardware/software lifecycle management and enhancing operational efficiency.

Medical Image Computing and Computer-Assisted Intervention Lab, CUST
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Graduate Student Researcher

Jilin, Jilin, China

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Summary

Conducted pioneering research in multimodal CNN architectures, achieving 98% classification accuracy for enhanced skin cancer detection.

Highlights

Led research on Multimodal Convolutional Neural Networks (CNN) for skin cancer classification, advancing diagnostic capabilities in medical imaging.

Engineered a novel Multimodal CNN architecture that achieved a 98% classification accuracy for skin cancer detection on dermoscopic datasets, significantly improving diagnostic precision.

Yobe State Program Office, Saving One Million Lives Programme for Results
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IT Officer

Yobe, Nigeria, Nigeria

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Summary

Maintained critical IT systems and resolved diverse technical issues to ensure reliable service delivery for a government program.

Highlights

Installed, configured, and maintained hardware, software, networks, and printers, ensuring reliable IT services and minimizing downtime.

Diagnosed and resolved diverse technical issues, performed system repairs, and managed software licenses to optimize operational continuity.

Yobe State Governor's Office, Information and Communication Technology Unit
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Network Administrator

Yobe, Nigeria, Nigeria

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Summary

Managed network infrastructure and provided technical training, ensuring reliable access for over 1000 users across 50+ government offices.

Highlights

Ensured reliable network access for over 50 government offices and 1000+ users, significantly enhancing communication and operational efficiency.

Provided technical training to end-users, improving their proficiency and reducing support requests.

Hyperia Network Limited
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Network Technician

Lagos, Nigeria, Nigeria

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Summary

Installed and managed Ka-Band network equipment for 50+ clients, proactively monitoring performance and providing technical assistance.

Highlights

Installed and managed Ka-Band network equipment for 50+ clients, ensuring robust connectivity and service delivery.

Monitored network performance proactively and provided timely technical assistance, resolving issues efficiently.

Volunteer

Office of Registrar, Abubakar Tafawa Balewa University
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IT Assistant (National Youth Service Corps)

Bauchi, Nigeria, Nigeria

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Summary

Provided essential IT support and conducted data analysis to enhance administrative efficiency and strategic planning for the Registrar's Office.

Highlights

Provided essential IT support to enhance administrative efficiency and system reliability, contributing to seamless office operations.

Conducted statistical analyses and prepared comprehensive reports, providing critical data to support strategic planning initiatives.

Galaxy Information and Telecommunication Technology
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Network Technician Intern (ITF-SIWES)

Jigawa, Nigeria, Nigeria

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Summary

Optimized network infrastructure and configured various network devices, significantly improving connectivity and reliability for key client installations.

Highlights

Optimized network cabling and topologies, significantly improving connection reliability and performance for key client installations during the internship.

Installed VSAT networks and configured routers, switches, and other network devices, meticulously documenting faults and resolutions to ensure robust system operation.

Education

Euro-Mediterranean University of Fes
Fes, Fès-Meknès, Morocco

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PhD

Computer Science

Grade: Très Honorable (Very Honorable)

Changchun University of Science and Technology
Jilin, Jilin, China

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MEng

Computer Applied Technology (with Postgraduate Diploma)

Grade: 92/100 (Top 5%)

Federal University Dutse
Dutse, Jigawa, Nigeria

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BSc

Computer Science

Grade: 4.62/5 (Top 5%)

The Federal Polytechnic Damaturu
Damaturu, Yobe, Nigeria

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Diploma

Computer Science

Grade: 3.59/4

Awards

Full PhD Scholarship

Awarded By

African Scientific, Research and Innovation Council (ASRIC)

Recognized for exceptional academic potential and research contributions in the field of Computer Science, securing full funding for doctoral studies.

Full MSc Scholarship

Awarded By

Petroleum Technology Development Fund (PTDF), Nigeria

Awarded for outstanding academic performance and potential in Computer Applied Technology, enabling advanced postgraduate studies.

Award of Excellence

Awarded By

National Youth Service Corps (NYSC), Nigeria

Received for exemplary service and outstanding contributions during the National Youth Service Corps program.

Award of Excellence

Awarded By

Registrar's Office, Abubakar Tafawa Balewa University, Nigeria

Honored for distinguished performance and significant contributions to the administrative and operational efficiency of the Registrar's Office.

Publications

A focal loss and sequential analytics approach for liver disease classification and detection

Published by

Healthcare Analytics

Summary

Proposes a novel focal loss and sequential analytics approach for improved liver disease classification and detection.

Towards efficient artificial intelligence techniques for the assessment of irrigation water quality: A systematic literature review

Published by

Environmental Science and Pollution Research

Summary

Reviews efficient AI techniques for assessing irrigation water quality, offering insights into sustainable water management.

Comprehensive dataset for olive tree varieties responses to different level of drought stress

Published by

Data in Brief

Summary

Presents a comprehensive dataset detailing olive tree responses to varying drought stress levels, supporting agricultural research.

Attention-based cnn-gru model for wheat yield prediction under rainfed and supplementary irrigation regimes in a semi-arid environment

Published by

Irrigation and Drainage

Summary

Develops an attention-based CNN-GRU model for wheat yield prediction under various irrigation regimes in semi-arid environments.

A hybrid 1d-cnn-gru model for predicting the wheat water requirement satisfaction index using remote sensing data

Published by

Agricultural Communication

Summary

Proposes a hybrid 1D CNN-GRU model for predicting wheat water requirement satisfaction using remote sensing data.

Machine learning approaches for predicting reference evapotranspiration: A comparative study using ground and gridded climate data in fes region

Published by

World Water Policy

Summary

Compares machine learning models for predicting reference evapotranspiration using ground and satellite climate data in the Fes region.

A hybrid machine learning approach for imbalanced irrigation water quality classification

Published by

Desalination and Water Treatment

Summary

Investigates a hybrid machine learning approach to classify imbalanced irrigation water quality datasets effectively.

A hybrid ant colony optimization for parkinson's disease classification based on synthetic minority oversampling and adaptive synthetic techniques

Published by

IEEE

Summary

Presents a hybrid ant colony optimization method for Parkinson's disease classification using advanced sampling techniques.

Resnet50-1d-cnn: A new lightweight resnet50-one-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems

Published by

International Journal of Critical Infrastructure Protection

Summary

Introduces a lightweight ResNet50-based 1D CNN for improved intrusion detection in cyber-physical systems.

Skin cancer classification using vision transformers and explainable artificial intelligence

Published by

Journal of Medical Artificial Intelligence

Summary

Explores vision transformers and explainable AI for accurate skin cancer classification.

Random forest and sentinel-2 based approach for evaluating climate change on olive trees

Published by

IEEE

Summary

Utilizes Random Forest and Sentinel-2 data to evaluate climate change impacts on olive trees.

An evaluative technique for drought impact on variation in agricultural lulc using remote sensing and machine learning

Published by

Environmental Monitoring and Assessment

Summary

Develops an evaluative technique to assess drought impact on agricultural land use using remote sensing and machine learning.

Forecasting Reference Evapotranspiration Using LSTM and Transformer

Published by

Springer Nature Switzerland

Summary

Explores LSTM and Transformer models for forecasting reference evapotranspiration in agricultural contexts.

Enhancing irrigation water quality classification using machine learning with hybrid optimization techniques

Published by

World Water Policy Accepted (In Press)

Summary

Details machine learning with hybrid optimization for enhanced irrigation water quality classification.

Assessing the impact of climate change on seasonal variation in agricultural land use using sentinel-2 and machine learning

Published by

MDPI

Summary

Assesses climate change impact on seasonal agricultural land use variations using Sentinel-2 and machine learning.

Languages

English
Mandarin-Chinese
Arabic
French

Skills

AI & Machine Learning

Deep Learning, Convolutional Neural Networks (CNN), Multimodal CNN, Vision Transformers, Machine Learning Algorithms, AI-driven Modeling, Predictive Analytics, Classification, Regression, Optimization Techniques, Hybrid ML Models.

Remote Sensing & Geospatial

Google Earth Engine, Sentinel-2, ArcGIS, SNAP, Satellite Imagery Analysis, Geospatial Data Processing, Drought Forecasting, Crop Yield Modeling, Land Use/Land Cover (LULC) Mapping, Irrigation Water Quality Assessment.

Programming & Development

Python (scikit-learn, TensorFlow, PyTorch), R, C/C++, Data Structures, Operations Research, Git, Docker, Jupyter, Google Colab.

Data Science & Analytics

Statistical Analysis, Data Interpretation, Dataset Development, Data Visualization, Report Generation, Problem Solving.

IT & Networking

IT Infrastructure, Network Administration, System Reliability, Hardware/Software Lifecycle Management, Technical Support (L2), VSAT Networks, Routers, Switches, TCP/IP.

Research & Academia

Scientific Writing, Peer Review, Curriculum Development, Mentorship, Grant Writing, Field Experimentation, Academic Publishing, Conference Presentations.

References

Prof. Ahmed El Hilali Alaoui

a.elhilali-alaoui@ueuromed.org

Prof. Mhamed Zineddine

m.zineddine@ueuromed.org