Dr. Kadeghe
Goodluck Fue (PhD, P.Eng PE11382)

Senior Robotics & Machine Learning Engineer

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Full-Stack Autonomous Systems | Technical Lead | EB-1A Eligible

Visionary Full-Stack Physical AI Leader with 14+ years of architecting and deploying pioneering autonomous systems. I bridge the critical "bit-to-atom" gap, leading the design of custom mechatronic hardware (SolidWorks, Arduino) and optimizing real-time perception stacks (YOLO, Optical Flow) on edge devices (NVIDIA Jetson). Proven leadership managing $2M+ portfolios and winning international data science challenges.

14+ Years Experience
$2M+ Portfolio Managed
52+ Publications
1st Global Data Challenge (Amazon Funded)

Technical Stack Analysis

Comprehensive "Bit-to-Atom" Full Stack Competency.

Robotics & Mechatronics

ROS/ROS2 SolidWorks Arduino/ IoT UGV/UAV Fleets

AI & Computer Vision

YOLOv8 PyTorch TensorFlow OpenCV

Programming & Tools

Python (Expert) C/C++ Docker Linux

Education

PhD in Engineering (AI and Robotics)

University of Georgia, USA, 2016-2020

GPA: Magna Cum Laude

MSc in Ag and Biol Engineering (Precision Agriculture)

University of Florida, USA, 2012 - 2014

GPA: Summa Cum Laude

BSc in Comp Engineering & IT

University of Dar es Salaam, 2007 - 2011

GPA: Magna Cum Laude

Professional Experience

Evolution from hands-on engineering to strategic technical leadership.

Senior Lecturer / Lead Engineer / Principal Investigator / HEET Digitalization Leader

March 2021 - Present
Sokoine University of Agriculture (SUA) - Academic Information Management and Support Unit

Managerial Leadership: Working as HEET Digitalization Leader in a $32M World Bank HEET Project. Leading the team on improvement of Online Learning Tools, Upgrading of ICT Infrastructure (Core LAN system), Development of the cutting-edge Information System for Academic issues and Improving power backup.

  • Strategic Leadership: Architected the technical roadmap for the new ELectronics and Precision Agriculture Lab. As PI of the Lab, I am spearheading the development of novel technologies for Agriculture and Environmental Health Systems
  • Impact: Managed a cross-functional team of 3+ engineers and researchers. Hosting students from SUA and other 3 universities across Tanzania

Geospatial Research Scholar

Nov 2020 - Feb 2021
US Department of Agriculture (USDA) and North Carolina State University (NCSU)

Spearheaded the development of AI-driven robotics for precision agriculture, focusing on multi-UGV coordination and real-time winter crops detection.

  • Innovation: Developed a Modified Pure Pursuit algorithm improving path tracking by 30%.
  • Tech Stack: ROS, Python, OpenCV, NVIDIA Jetson, SolidWorks.

Graduate Research Assistant

Aug 2016 - Nov 2020
University of Georgia (UGA)

Developed autonomous cotton harvesting robots and yield estimation systems using deep learning (YOLO).

Assistant Lecturer

Nov 2013 - Aug 2016
Sokoine University of Agriculture (SUA)

Tutorial Assistant

Nov 2010 - Nov 2013
Sokoine University of Agriculture (SUA)

6 TEACHING RESPONSIBILITIES [since 2021]

Courses taught across graduate and undergraduate levels; topics emphasize practical, hands-on skills in programming, embedded systems, networking, instrumentation and agricultural applications of AI and IoT.

6.1 AEC 813 — Artificial Intelligence, IoT and GIS Application in Agriculture (PhD Students)

Advanced topics in machine learning for agriculture, spatial data analysis (GIS), sensor integration, edge AI deployment, and research methodologies for PhD-level projects.

6.2 ABE 715 — Computer Programming (Masters Students)

Structured programming, data structures, algorithmic thinking, and application development in Python and C for engineering problem solving.

6.3 AGE 418 — Sensors and Controls for Precision Agriculture (Senior Students)

Sensor technologies, control systems, data acquisition, and system design for automated precision agriculture platforms.

6.4 BPE 419 — Mechatronics (Senior Students)

Integration of mechanical, electronic and software subsystems; actuators, embedded controllers and practical robotics labs.

6.5 AGE 328 — Communications and Computer Networking (Junior Students)

Fundamentals of networking, wireless communications, protocols, and networked systems for IoT applications.

6.6 AGE 316 — Microcomputer Systems (Junior Students)

Microcontroller programming, embedded system architectures, interfacing, and low-level system design using platforms such as Arduino and ESP32.

6.7 AGE 310 — Instrumentation and Measurements (Junior Students)

Principles of measurement, instrumentation design, sensor calibration, data logging and signal conditioning for field and lab use.

6.8 AGE 219 — Introduction to Computer Programming (Sophomore Students)

Introductory programming concepts, problem-solving with code, basic algorithms and practical labs using Python.

6.9 AGE 214 — Introduction to Electronics (Sophomore Students)

Foundations of electronics, circuit analysis, analog/digital components and hands-on lab exercises to build simple electronic systems.

Electronics and Precision Agriculture Lab Innovations

Deep dive into key engineering contributions.

Autonomous Spraying Robot

Robotics

Implemented autonomous mission planning and execution for a multi-UGV fleet used in agricultural mapping and spraying operations (PX4/ArduPilot, ROS).

Real-Time Yield Estimation

AI / Vision

Developed a deep learning pipeline using YOLO and SORT tracking to count cotton bolls in real-time video feeds with 95% accuracy.

Cotton Harvesting Robot

Robotics

Designed the end-effector and manipulator control system for a redbot ground vehicle to autonomously harvest cotton bolls (MoveIt!, Kinematics).

Variable Rate Sprayer

IoT / Embedded

Created an IoT-enabled smart sprayer that adjusts chemical application based on real-time sensor data, reducing waste by 40% (ESP32, MQTT).

TanPredikt

AI / Forecasting

Prediction of Rain-fed Maize Yield in Tanzania using Time-series Machine Learning Models and Satellite Data.

NAISS-GAI

Auto-Irrigation

Towards a Nationwide Automatic Irrigation Scheduling System.

YEESI Lab Ecosystem

Innovation

Youth Empowerment through Establishment of Social Innovation. Skilling for job creation.

SG-NAPI Seed Grant

Grant / Research

TWAS-BMBF Seed Grant for high-level research projects in African countries.

EB-1A Evidence (Extraordinary Ability)

Original Contribution

Invented a novel "Modified Pure Pursuit" control algorithm, cited by peer-reviewed papers and adopted as a benchmark.

Awards

Winner, Zindi "Outsmarting Outbreaks" Challenge, ranking 1st among 500+ global data scientists.

Judging Work

Reviewer for IEEE Robotics and Automation Letters (RA-L) and Computers in Agriculture.

Critical Role

Technical Lead for the $32M World Bank HEET Project at SUA.

Download Full CV (PDF)