Home | Magret Oladunjoye

Hello, I’m Magret, a Master's student in Software Engineering. I'm interested in how Artificial Intelligence (AI) can be used to address real-world challenges, with a focus on impactful applications in sustainability and healthcare.

As a Teaching Assistant, I lead tutorial sessions for undergraduates, always looking for ways to make learning more engaging and effective.

Outside of academia, some of my interests include reading philosophy, baking, and staying active through running and cycling.

Explore my portfolio to learn more about my projects, interests, and aspirations for a Ph.D.

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My Resume:

Research

Primary Interests

My primary research interest lies at the intersection of AI, agriculture, and healthcare, with a focus on developing predictive systems, diagnostic tools, and promoting sustainability. I aim to build robust, data-efficient, and reliable machine-learning algorithms that can scale to solve real-world challenges across these sectors.

Below are some topics I have explored:

Predictive Modeling for Agriculture: Leveraging machine learning to forecast weather patterns, crop yields, and disease outbreaks.
Medical Image Analysis and Diagnostic Systems: Developing advanced AI-based diagnostic systems for early disease detection in medical scans, such as CT and MRI images.
Sustainable Farming Practices: Developing AI-driven systems to optimize resource use, reduce waste, and enhance crop management.
Medical Image Segmentation: Specializing in the segmentation of medical images, which is crucial for identifying and isolating regions of interest in radiology and pathology.
Real-time Monitoring: Developing AI systems for real-time monitoring of crop health, growth patterns, and resource utilization to optimize farming practices.
Soil and Water Management: Applying AI to analyze soil and water data for efficient resource management and sustainable farming.

Some Notable Projects

Masters' Thesis (On-going)

Olive trees hold significant cultural and agricultural value in North Cyprus, where I study. My thesis involves developing a dynamic forecasting model that leverages historical and real-time weather data to predict temperature accurately and calculate growing degree days (GDD) relevant to olive cultivation. This model will also be available on a web app, allowing farmers to enter their planting dates, track GDD, and gain precise insights for each growth stage, ultimately aiding in better-informed farming decisions.

DeepFarm

DeepFarm is an ongoing collaborative project that I am involved in. This EU-funded initiative aims to advance digital agriculture by integrating AI and Big Data into agronomy education. In partnership with universities in Europe, Madagascar, Ivory Coast, Haiti, and the Dominican Republic, the project addresses the agricultural skills gap through innovative teaching and practical applications.

Working alongside my supervisor, Prof. Dr. Hadi Işık Aybay , I contribute by designing and teaching lab sessions on AI and Big Data in agronomy. With many students coming from agricultural backgrounds, I focus on teaching them how to analyze agricultural data and recognize patterns that can be applied to machine learning models.

Find out more at: deepfarm.eu

Teaching

I am currently (Sept 2023 - ongoing) a teaching assistant at Eastern Mediterranean University.

Teaching

I have been a Teaching Assistant at Eastern Mediterranean University since the fall semester of 2023 and it has been an overall rewarding experience. The opportunity to interact with students and find new ways to transmit knowledge effectively are some of the most fulfilling aspects of the role. Here are some of the courses I've assisted with in previous semesters:

Foundations of Computer-Software Engineering: An Introduction to Python (CMPE107)
Object Oriented Programming (CMPE211)
Operating Systems (CMPE242)
Principles of Programming Languages (CMSE318/CMPE410)
Software Design (CMSE322)

University Staff Web Page

My Ph.D. Aspirations

My conviction that technology should empower people is what made me pursue a degree in Software Engineering. Machine Learning (ML) is the technology that I am most passionate about because of its incredible ability to learn from data and uncover patterns that lead to meaningful insights. Throughout my Master’s degree, I have focused on harnessing this potential to solve real-world challenges. I am driven by the desire to contribute to research that applies ML in practical, impactful ways, helping to bridge the gap between theoretical advances and everyday applications that benefit society.

As I embark on the next phase of my journey, I want to immerse myself into cutting-edge applications of ML through a Ph.D. program. Thus far, my interest has centered around the application of ML in the medical and agricultural fields. I am currently eagerly exploring potential topics for a doctoral thesis.

Volunteering

I dedicate much of my spare time to volunteering at my local animal shelter, where I engage with the dogs and lead initiatives to enhance their welfare.