Dr. Kadeghe Goodluck Fue (KadeFue)

Senior Software Development Engineer | Machine Learning Specialist | Senior Lecturer Mechatronics, Artificial Intelligence, and Precision Agriculture

"I dedicate this page of my work to my Bro Ibra. R.I.P."

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🚀 Repository Overview

This repository hosts the source files for Dr. Kadeghe Goodluck Fue’s personal academic website and engineering portfolio. The site is built as a highly responsive, premium static portfolio featuring dual-language localization (English & Swahili), glassmorphic styling, and interactive data tools to showcase his 15+ years of professional software architecture, research, teaching, and consultancy work.

Built with

• HTML5 & Tailwind CSS (for a modern, responsive utility-first layout)
• Vanilla JavaScript (dynamic client-side Swahili/English translation, real-time portfolio search/filtering, and interactive animations)
• Custom Glassmorphic Aesthetics (smooth micro-animations, curated gradient color palettes, and responsive mobile drawers)

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📖 About Dr. Fue

Dr. Kadeghe Goodluck Fue is a Senior Lecturer of Mechatronics, Artificial Intelligence and Precision Agriculture at the Sokoine University of Agriculture (SUA) in Morogoro, Tanzania. He sits at the forefront of digital transformation in Africa, developing software architecture, mobile apps, database integrations, and intelligent systems that solve real-world problems in agriculture and education.

Dr. Fue has over 15 years of software development engineering and systems architecture experience, executing projects with international organizations (e.g., FAO, Trans-SEC) and ministries of education/finance.

🎓 Education

• PhD in Engineering (Machine Vision & Agricultural Robotics) – University of Georgia, USA (2016–2020)
• MSc in Agricultural and Biological Engineering (Automation & Precision Ag) – University of Florida, USA (2012–2014)
• BSc in Computer Engineering & Information Technology – University of Dar es Salaam, Tanzania (2007–2011)

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🔬 Research Labs & Leadership

Dr. Fue leads research projects combining sensor networks, computer vision, and machine learning to build next-generation agricultural solutions:

EPALAB (Electronics and Precision Agriculture Lab)

A pioneering research hub for practical agricultural innovations:

• Satellite and drone-based multispectral sensing
• Edge AI and IoT networks for real-time soil, climate, and crop health monitoring
• Yield prediction and large-scale agricultural database systems

YEESI Lab (Youth Empowerment through Establishment of Social Innovation)

An innovation incubator providing hands-on training to youth in:

• Machine vision models and image analysis
• Low-cost embedded devices and agricultural robotics
• Creative software engineering to solve community issues

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🛠 Technical Expertise & Tech Stack

Software Architecture & Development

• Backend Frameworks: Laravel, Django, CodeIgniter, Node.js, ASP.NET (VB.NET, C#)
• Frontend: Tailwind CSS, Vanilla JS, HTML5, CSS3, dynamic i18n architectures
• Database Management: PostgreSQL, MySQL, MSSQL (design, tuning, API integrations)

AI, Machine Vision & Data Science

• Machine Learning & DL: Neural Networks, Deep Learning, TensorFlow, Keras
• Computer Vision: OpenCV, CUDA, camera calibration, multispectral image processing
• Data Tools: Python, R, predictive modeling, statistical data pipelines

Embedded Systems & Autonomous Navigation

• Hardware & IoT: ROS (Robot Operating System), Arduino, Raspberry Pi, ESP32, microcontrollers
• Sensors: LiDAR, GPS/GNSS, IMU, ultrasonic, sensor fusion algorithms

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💼 Interactive Portfolio & Projects

Dr. Fue's portfolio features a standalone interactive portal (workdone.html) that lists his 20+ software design and consultancy engagements. Users can search and filter projects in real-time. Key achievements include:

• Web Service API Integrations: Connected the College of Business Education (CBE) with the Tanzanian Government Central Payment System (GePG), TCU, NACTE, and financial institutions (CRDB, NMB, NBC).
• Tomato Business Access Information System: Designed a SMS-integrated agricultural value-chain platform for EPINAV.
• m-IMAS: Developed a Mobile Integrated Market Access System leveraging KANNEL SMS gateways.
• SUASIS Mobile Payment Integration: Bridged SUA student information portals with mobile payment gateways.

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🌟 Project Files & Sitemap

• index.html – Homepage highlighting professional stats, core expertise cards, and recent news.
• workdone.html – Interactive projects directory with search query filters and categories.
• about.html – Biography, employment history, research milestones, and tech stack details.
• cv.html – Online curriculum vitae styled for screen viewing and print-media output.
• contact.html – Inquiry forms and direct contact routes.
• research.html – Academic labs, research focus areas, and grant histories.
• publications.html – Comprehensive list of journals, conference papers, and citations.
• news.html – Announcements, media releases, and upcoming sessions.
• js/translations.js – Localization config map managing Swahili/English bilingual outputs.

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🔧 Local Preview & Development

To spin up a local preview server from the repository root directory:

python3 -m http.server 8000

Then open http://localhost:8000 in your web browser.

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📬 Contact & Profiles

• Email: kadefue [at] sua.ac.tz | kadefue [at] gmail.com
• GitHub Profile: https://github.com/kadefue/
• LinkedIn: https://www.linkedin.com/in/kadefue/
• Google Scholar: https://scholar.google.com/citations?user=rqeqefwAAAAJ&hl=en
• ORCID: https://orcid.org/0000-0001-6362-3174
• Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=57211333796
• YouTube Channel: https://www.youtube.com/@Dr.Fue

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© 2026 Kadeghe Goodluck Fue. All rights reserved.