Alican is a data scientist, educator, and researcher with a background in nanotechnology. He serves as CTO of Content Intelligence Agency, where he leads AI product development in the media industry, and is the founder of Ipsumio, a company that helps experts in fields like healthcare and engineering apply AI to solve domain-specific challenges. His teaching in computer vision, machine learning, Python, and statistics is grounded in hands-on industry experience and a commitment to real-world problem solving.
- Introduction to Programming with Python · Y1A1
- Computer Vision · Y2B1
- Introduction to Statistics · Y2C2
- Ph.D. Photonics, ICFO, 2017
- M.Sc. Nanotechnology, Bilkent University, 2013
- B.Sc. Materials Science and Metallurgical Engineering, METU, 2011
Publications
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J Bertrandie, MA Noyan, LH Hernandez, A Sharma, D Baran, From Experimental Values to Predictive Models: Machine Learning‐Driven Energy Level Determination in Organic Semiconductors, Advanced Energy Materials, 2025
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MA Noyan, IC Noyan, Sampling volumes in powder diffraction experiments, Powder Diffraction, 2024
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V Pruneri, MA Noyan, A Grudinin, Identifying 3D objects, U.S. Patent No. 11,898,963, 2024
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MA Noyan, Uncovering bias in the PlantVillage dataset, arXiv:2206.04374, 2022
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V Lube, MA Noyan, A Przybysz, K Salama, I Blilou, MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision, Plant Methods, 2022
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A Reinke et al, Common limitations of image processing metrics: A picture story, arXiv:2104.05642, 2021
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MA Noyan, M Durdu, AH Eskiocak, TzanckNet: a convolutional neural network to identify cells in the cytology of erosive-vesiculobullous diseases, Scientific Reports, 2020
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R Hussain, MA Noyan et al, An ultra-compact particle size analyser using a CMOS image sensor and machine learning, Light: Science & Applications, 2020