Postdoctoral Researcher at University of Nottingham

Nilgün Şengöz

Assistant Professor & AI Researcher specializing in Deep Learning, Explainable AI, and Medical Image Processing.

Burdur Mehmet Akif Ersoy University
University of Nottingham — TÜBİTAK 2219 Fellow
Nottingham, United Kingdom

Bridging AI Research with Real-World Impact

I am an Assistant Professor (Dr. Öğr. Üyesi) in the Department of Information Systems and Technologies at Burdur Mehmet Akif Ersoy University's Gölhisar School of Applied Sciences. My work sits at the intersection of artificial intelligence and practical applications in healthcare, computer vision, and beyond.

Currently, I am a Postdoctoral Researcher at the University of Nottingham (February 2026 – February 2027), supported by the prestigious TÜBİTAK 2219 International Postdoctoral Research Fellowship. My research focuses on developing explainable and reliable AI systems, particularly in the domain of medical image analysis.

I am passionate about making deep learning models not only accurate but also transparent and interpretable — helping bridge the gap between complex algorithms and the clinicians who rely on them.

Ph.D. in Engineering

Specialization in AI & Image Processing

TÜBİTAK 2219 Fellow

International Postdoctoral Research Fellowship

Assistant Professor

Burdur Mehmet Akif Ersoy University

77+ Citations

Google Scholar — Growing Research Impact

Exploring the Frontiers of Intelligent Systems

My research spans multiple interconnected domains, with a focus on developing AI solutions that are both powerful and transparent.

  Deep Learning   Image Processing   Artificial Intelligence   Explainable AI (XAI)   Quantum Computing   Medical Image Analysis   Hybrid Deep Learning Models   Computer Vision   Cybersecurity

Contributions to the Scientific Community

Journal Article
Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning
T. Yiğit, N. Şengöz, Ö. Özmen, A.H. Işık, O. Ünal
arXiv preprint, 2022
Journal Article
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network
N. Şengöz, T. Yiğit, Ö. Özmen, A.H. Işık
Advances in Artificial Intelligence Research, 2022
10 citations DOI
Research Paper
Deep Learning Algorithm for Diagnosis of Eye Diseases in Cats and Dogs Using Data Augmentation
N. Şengöz et al.
ResearchGate, 2023
Research Paper
Hybridizing XGBoost and Deep Learning Models for Enhanced Image Classification
N. Şengöz, H. Köroğlu, B.N. Kırıktaş
Recent Publication

  For a complete list of publications, visit my Google Scholar profile.

Experience & Education

Feb 2026 – Feb 2027
Postdoctoral Researcher
University of Nottingham, United Kingdom
TÜBİTAK 2219 International Postdoctoral Research Fellowship
Present
Assistant Professor (Dr. Öğr. Üyesi)
Burdur Mehmet Akif Ersoy University
Department of Information Systems and Technologies, Gölhisar School of Applied Sciences
Ph.D.
Doctor of Engineering
Research focus: AI, Deep Learning & Image Processing

Let's Collaborate

I'm always open to discussing research collaborations, academic partnerships, and opportunities in AI and deep learning. Feel free to reach out!

Current Location
University of Nottingham, Nottingham, UK

🇬🇧 Currently in Nottingham

I'm conducting postdoctoral research at the University of Nottingham as a TÜBİTAK 2219 Fellow until February 2027.

Home institution: Burdur, Türkiye 🇹🇷