معرفی
Ann Franchois is a Full Professor at Ghent University in the Faculty of Engineering and Architecture, specifically within the Department of Information Technology (EA05). She is affiliated with the Internet Technology and Data Science Lab, where she leads research in electromagnetic imaging and inverse problems. Her academic career spans several decades with continuous contributions to the field of microwave and millimeter wave imaging.
Professor Franchois specializes in microwave imaging, electromagnetic scattering, and inverse problems, with significant applications in biomedical imaging (particularly breast cancer detection) and non-destructive testing (for concrete structures and steel fiber analysis). Her research integrates advanced mathematical techniques including regularization methods, numerical optimization, and computational electromagnetics to solve complex imaging problems. She has developed innovative approaches such as value picking regularization, piecewise smoothing techniques, and Huber regularization for improving reconstruction quality in quantitative imaging.
Her recent publications (2013-2023) demonstrate a consistent focus on advancing 3D and 2.5D electromagnetic modeling techniques, with particular emphasis on medical applications and non-destructive testing. The research shows an evolution from fundamental electromagnetic theory to practical applications, especially in breast cancer detection through microwave tomography. Her work often involves collaborations with experts in image processing and signal reconstruction.
Professor Franchois has supervised several PhD students to completion, including Funing Bai (2010-2014), Sara Van den Bulcke (2010), and Jürgen De Zaeytijd (2009). She has secured research funding from prestigious organizations, notably the Research Foundation - Flanders (FWO) for projects such as "Scattering-type scanning near-field mm-wave microscope" (2008-2013).
Her laboratory work centers around the Internet Technology and Data Science Lab at Ghent University, where she develops and applies advanced computational methods for electromagnetic imaging. Current research directions include improving the accuracy and efficiency of microwave imaging systems, particularly for medical diagnostics and structural assessment applications.
