Author: defne_kopar

We are incredibly proud to announce a new interdisciplinary publication from our department! The collaborative research paper titled “From Pixels to Spectra: Predicting Wine Colorimetric Characteristics Through Machine Learning Models” has been published in the prestigious Food Analytical Methods (Springer) journal. This innovative study showcases the power of bringing undergraduate students and faculty together across …

Read more “Bridging AI and Bioengineering! 🍇💻”

We are thrilled to celebrate a huge academic achievement! The groundbreaking paper “A Fully Automated SPICE-Compatible Netlist Extraction From Image Using Deep Learning and Image Preprocessing Techniques” has just been published in the highly respected IEEE Access journal. This outstanding study is a testament to strong interdisciplinary and inter-university collaboration, uniting our Electrical & Electronics …

Read more “Automating the Future of Circuit Design! ⚡🤖”