Add Fatemeh's page

Author: iarganda

content/authors/fatemeh-keneshlou/_index.md

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+---
+# Display name
+title: Fatemeh Keneshlou
+
+# Full Name (for SEO)
+first_name: Fatemeh 
+last_name:  Keneshlou
+
+# Is this the primary user of the site?
+superuser: false
+
+# Role/position
+role: PhD Student
+
+# Organizations/Affiliations
+organizations:
+  - name: University of the Basque Country (UPV/EHU)
+    url: 'https://www.ehu.eus'
+
+
+# Short bio (displayed in user profile at end of posts)
+bio: My research interests focus on developing intelligent AI-driven systems that bridge computer vision, machine learning, and biomedical data analysis to enable early disease detection, personalized healthcare, and next-generation clinical decision support. 
+
+
+interests:
+- Artificial Intelligence for Healthcare
+- Machine Learning and Deep Learning
+- Medical Image Analysis and Computer Vision
+
+
+education:
+  courses:
+    - course: Master of Science in Biomedical Engineering
+      institution: AmirKabir University of Technology
+      year: 2024
+    - course: Bachelor of science in Materials Engineering
+      institution: Iran University of Science and Technology
+      year: 2020
+
+# Social/Academic Networking
+social:
+
+  - icon: orcid
+    icon_pack: ai
+    link: 'https://orcid.org/0009-0008-3862-4229'
+
+  - icon: linkedin
+    icon_pack: fab
+    link: 'https://www.linkedin.com/in/fatemehkeneshlou/'
+
+# Highlight the author in author lists? (true/false)
+highlight_name: true
+
+# Organizational groups that you belong to (for People widget)
+user_groups:
+  - PhD Students
+---
+
+**Fatemeh Keneshlou** is a PhD student at the University of the Basque Country. She is currently pursuing a PhD under the supervision of [Dr. Fadi Dornaika](https://cvpd.github.io/author/fadi-dornaika/) and [Dr. Ignacio Arganda-Carreras](https://github.com/iarganda) within the TOSBI (Towards Scalable and Generalized Solutions in Biomedical Images) project, a major research initiative at the University of the Basque Country (UPV/EHU).
+She earned an MSc in Biomedical Engineering from AmirKabir University of Technology, Iran, in 2024 and a BSc in Materials Engineering from Iran University of Science and Technology, Iran, in 2020. Her multidisciplinary background combines engineering principles with advanced computational methods, providing a strong foundation for research at the intersection of artificial intelligence and biomedical sciences.

content/authors/fatemeh-keneshlou/avatar.jpg

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 title: "TOSBI – Towards Scalable and Generalized Solutions in Biomedical Images (2025–2028)"
 summary: TOSBI develops scalable and generalizable deep learning methods for biomedical image analysis, with a focus on limited annotation, computational efficiency and robust transferability.
 date: 2025-09-01
-authors: ["Ignacio Arganda-Carreras", "Fadi Dornaika", "Nagore Barrena", "Unai Elordi", "Aitor González-Marfil", "Daniel Franco-Barranco"]
+authors: ["Ignacio Arganda-Carreras", "Fadi Dornaika", "Nagore Barrena", "Unai Elordi", "Aitor González-Marfil", "Daniel Franco-Barranco", "Fatemeh Keneshlou"]
 draft: false
 featured: true
 image: