معرفی
Alican Noyan is a Senior Lecturer in Applied Data Science and AI at the Academy for AI, Games & Media, specializing in Machine Learning, Deep Learning, and Computer Vision. His research focuses on applying ML to interdisciplinary fields such as physics, biology, engineering, and medicine. Key projects include developing predictive models for organic semiconductors, analyzing biases in agricultural datasets, and creating high-throughput imaging platforms for plant phenotyping.
His work spans collaborations across material science, biomedical engineering, and photonics. Notable contributions include a patent on 3D object identification (2024) and a lens-free microscope for sepsis detection (2019). His research emphasizes practical applications, such as self-cleaning optical surfaces for 3D printing and antimicrobial surface assessment using molecular dynamics.
Noyan’s articles address diverse topics from crystallography data analysis (2024) to skin disease diagnosis via neural networks (2020). His work bridges theoretical ML advancements with real-world challenges in healthcare, agriculture, and manufacturing.
