About Me

Computer Science Lecturer | AI Researcher | Technology Innovator

Professional Journey

I am Getnet Tigabie Askale, a dedicated Computer Science Lecturer at the University of Gondar, Ethiopia, where I have been serving since 2022. My academic career is driven by a strong commitment to teaching excellence, innovative research, and the practical application of computing technologies to address real-world challenges.

Teaching Philosophy

I believe in creating engaging, supportive learning environments that foster independent thinking and problem-solving skills. My approach combines theoretical foundations with practical applications to prepare students for real-world challenges.

Career Vision

To advance AI research while mentoring the next generation of African technology innovators, contributing to both academic excellence and the technological development of Ethiopia and beyond.

Academic Service

Active engagement in curriculum development, student mentorship, departmental initiatives, and scholarly review processes to strengthen academic institutions and support student success.

Professional Timeline

2022 - Present
Computer Science Lecturer

University of Gondar - Teaching undergraduate courses, supervising research projects, and contributing to curriculum development.

2022
MSc in Computer Science

Completed Master's degree with focus on Artificial Intelligence and Machine Learning applications.

2023
Higher Diploma Programme (HDP) Certificate

University of Gondar - Advanced teaching methods and pedagogical training.

2025
Master Class for Teaching Online (Open edX)

Completed comprehensive training in digital education delivery and online teaching methodologies.

Previous
BSc in Computer Science

Foundation in computing principles and software development that paved the way for advanced studies and academic career.

Research Focus & Expertise

My research centers on cutting-edge technologies in Artificial Intelligence, with particular emphasis on developing practical solutions for agriculture, healthcare, and education sectors. I specialize in creating AI-powered systems that address pressing challenges in developing contexts.

Core Research Areas:
Artificial Intelligence Machine Learning Computer Vision Deep Learning Image Processing Natural Language Processing Precision Agriculture Healthcare Technology Educational Technology
Notable Research Contributions:
  • Plant Disease Detection: Developed deep learning models for early detection of crop diseases, contributing to food security efforts
  • Medical Image Analysis: Advanced skin disease classification systems using computer vision techniques
  • Multi-class Recognition: Created robust systems for identifying multiple plant diseases simultaneously
  • Practical Applications: Focused on implementing research findings in real-world agricultural and healthcare settings

Technical Skills & Development

Beyond academic research, I maintain strong software engineering capabilities that enable me to translate theoretical concepts into functional applications and systems.

Web Technologies:
HTML5 CSS3 JavaScript Bootstrap AJAX React
AI & Data Science:
Python TensorFlow PyTorch OpenCV Scikit-learn Keras

My combination of research expertise and practical development skills allows me to bridge the gap between academic inquiry and real-world implementation, creating solutions that are both theoretically sound and practically viable.

I am committed to continuing this journey of academic excellence, research innovation, and technological contribution, always with the goal of creating positive impact through computing education and research.