A Master's thesis research project developing AI‑powered forensic crime detection through real‑time camera analysis and deep learning.
VisionSleuth AI is an intelligent forensic video analysis system built as part of a Master's thesis in Bioinformatics at Üsküdar University. It leverages a fine‑tuned YOLO11 deep learning model with ByteTrack multi‑object tracking to detect dangerous objects in live camera feeds and uploaded videos, generating professional forensic‑standard reports for security analysis.
Fatıma Duran completed her undergraduate studies in Bioengineering at Gaziosmanpaşa University and is currently pursuing a Master's degree in Bioinformatics at Üsküdar University. As part of her thesis, she developed an AI‑based model for forensic crime analysis using real‑time camera data.
She brings three years of professional experience as a Software Developer at LKG Engineering & R&D, contributing to wearable technology, VR/AR, and AI‑driven projects spanning project development, web design, academic reporting, 3D modeling, and software engineering.
Head of Biosecurity Master's Program, Üsküdar University
kaan.yilancioglu@uskudar.edu.trProf. Dr. Kaan Yılancıoğlu began his higher education in Chemical Engineering at Istanbul University, later studying Medical Biological Sciences at Istanbul University Cerrahpaşa Faculty of Medicine. He earned his Master's with a full scholarship at Sabancı University in Molecular Biology, Genetics & Bioengineering, and completed his PhD in Biotechnology at Sabancı University.
During his doctoral studies he conducted research at the University of Toronto on drug interactions and multidrug‑resistant bacteria. He then completed postdoctoral research at Harvard Medical School and Tufts University. He received the title of Associate Professor in 2020.
He is also a co‑founder of SynVera Pharmaceutical R&D Medical Biotechnology Company, leading research on synergistic drug combinations and biotechnology‑driven medical technologies.
Current Roles
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