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
|
Graduate Research Teaching Assistant
Fes, Fès-Meknès, Morocco
→
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
|
Lecturer II
Yobe, Nigeria, Nigeria
→
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
|
IT Support Specialist
Nigeria, Nigeria, Nigeria
→
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
|
Graduate Student Researcher
Jilin, Jilin, China
→
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
|
IT Officer
Yobe, Nigeria, Nigeria
→
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
|
Network Administrator
Yobe, Nigeria, Nigeria
→
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
|
Network Technician
Lagos, Nigeria, Nigeria
→
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.
Office of Registrar, Abubakar Tafawa Balewa University
→
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.
Network Technician Intern (ITF-SIWES)
|
Galaxy Information and Telecommunication Technology
→
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
→
PhDComputer ScienceGrade: Très Honorable (Very Honorable)
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
Healthcare Analytics
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
Environmental Science and Pollution Research
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
Data in Brief
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
Irrigation and Drainage
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
Agricultural Communication
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
World Water Policy
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
Desalination and Water Treatment
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
IEEE
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
International Journal of Critical Infrastructure Protection
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
Journal of Medical Artificial Intelligence
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
IEEE
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
Environmental Monitoring and Assessment
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
Springer Nature Switzerland
Explores LSTM and Transformer models for forecasting reference evapotranspiration in agricultural contexts.
Enhancing irrigation water quality classification using machine learning with hybrid optimization techniques
World Water Policy Accepted (In Press)
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
MDPI
Assesses climate change impact on seasonal agricultural land use variations using Sentinel-2 and machine learning.