Sinem Aslan is a research assistant at the International Computer Institute of Ege University, and a research associate in ECLT and DAIS of Ca’ Foscari University of Venice. Her main research activity is in pattern recognition, computer vision, and machine learning, with particular emphasis on image understanding and time-series analysis. Sinem Aslan received her B.Sc. in Electronics Engineering from Ankara University, her M.Sc. and Ph.D. degrees in Information Technologies from Ege University. She completed her Ph.D. titled Semantic Interest Point Detection, co-advised by Prof. Dr. Bülent Sankur and Prof. Dr. Turhan Tunalı, in 2016. During her Ph.D. studies, she held a visiting position at the BUSIM laboratory at the Electrical and Electronics Engineering Department of Boğaziçi University (Turkey). She had postdoctoral research positions in the Imaging and Vision Laboratory at the Department of Informatics, Systems, and Communication at the University of Milano-Bicocca (2017-2018), and in the European Centre for Living Technology (ECLT) at the Ca’ Foscari University of Venice in Italy (2019-2020). She won a 2219 Postdoctoral research grant from the Scientific and Technological Research Council of Turkey (TUBITAK) with her project on “Weakly- supervised semantic segmentation" to pursue her research activities for one year visiting scholar at ECLT (2018-2019). Since August 2020, she has been collaborating with the research group of Risk Assessment and Adaptation Strategies in CMCC@Ca' Foscari for modeling and forecasting eutrophication for water quality assessment in the Venice Lagoon within the context of the projects of BRIDGE and VENEZIA 2021. Her other research has focused on the analysis of fine art (in collaboration with Prof. Luc Steels within the MUHAI project), and cultural heritage using image processing and machine learning approaches.