Everything can be taken from a man but one thing: the last of the human freedoms—to choose one’s attitude in any given set of circumstances, to choose one’s own way.
– Viktor E. Frankl, Man's Search for Meaning
Hi, I’m Magret. I’m a Software Engineering graduate drawn to real-world problems, especially those tied to sustainability and uncertainty.
My research interests sit at the intersection of machine learning, software systems, and domain-specific modeling. Whether I’m building tools to help farmers adapt to climate variability, forecasting with limited data, or exploring lightweight AI at the edge, I care about one thing: creating intelligent systems that are practical, reliable, and responsible.
I combine my software background with ideas from AI, optimization, and mathematical modeling to develop solutions that are not only technically strong but also socially relevant.
As a Teaching Assistant, I enjoyed leading tutorial sessions for undergraduates, always striving to make learning 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.
My Resume:
Research
Research Interests
I'm interested in computational modeling, probabilistic machine learning, and data-driven decision systems, with a focus on applications in climate science, agriculture, and healthcare. I’m drawn to problems where uncertainty plays a central role, whether it’s predicting weather patterns, interpreting complex medical data, or supporting decision-making in sustainable farming. I aim to build models that are not just accurate, but useful in the messy, real-world contexts they’re meant to serve.
Some topics I have explored:
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Rainfall Analysis and Prediction – Studying rainfall patterns using stochastic processes to improve weather forecasting and agricultural planning.
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Time Series Forecasting – Using recurrent neural networks (RNNs) and probabilistic models to analyze trends in weather, crop yields, and environmental data.
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Medical Image Segmentation – Applying convolutional neural networks (CNNs) for precise segmentation of medical scans, improving early disease detection.
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Risk and Resilience Modeling – Exploring how uncertainty and probability impact decision-making in climate, farming, and healthcare.
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Resource Management in Agriculture – Using stochastic models and machine learning to analyze soil conditions, water availability, and plant growth.
Some Notable Projects
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Analyzing rainfall variability and climate patterns in Ondo State, Nigeria, using stochastic methods
Masters' Thesis
Olive trees hold significant cultural and agricultural value in many Mediterranean regions, including Cyprus, where I did my master's. My thesis involved developing a dynamic forecasting model that leverages historical and real-time weather data to accurately predict temperature and calculate growing degree days (GDD) relevant to olive cultivation. This model also features a web app that allows farmers to enter their planting dates, track GDD, and gain precise insights for each growth stage.
DeepFarm
DeepFarm is an ongoing collaborative project in which I am involved. 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 skills gap in agriculture 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 served as a Teaching Assistant at Eastern Mediterranean University for the entire duration of my Master's program.
Teaching
During my time at Eastern Mediterranean University, I was a Teaching Assistant from September 2023 until my graduation in January 2025. This role was incredibly rewarding, offering me the chance to interact with students and discover effective ways to transmit knowledge. Below are are some of the courses I assisted with in previous semesters:
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Foundations of Computer-Software Engineering: An Introduction to Python (CMPE107)
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Object Oriented Programming (CMPE211)
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Operating Systems (CMPE242)
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Principles of Programming Languages (CMSE318/CMPE410)
My Ph.D. Aspirations
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.
References
For inquiries related to research, collaborations, or professional opportunities, please feel free to reach out.
You can either fill the contact form or send me a direct mail at: magretoladunjoye@web.de