Amirreza Mahbod

I am an Assistant Professor at Danube Private University with expertise in medical image analysis, machine/deep learning, and computer vision.

I got my bachelor's (2004-2009) and first master's degree (2009-2012) in Electrical Engineering from the School of Electrical Engineering at the Iran University of Science and Technology, Tehran, Iran, and my second master's degree in Medical Engineering from the Division of Biomedical Imaging at the KTH Royal Institute of Technology, Stockholm, Sweden (2014-2016). I did my PhD (2016-2020), entitled "Towards Improvement of Automated Segmentation and Classification of Tissues and Nuclei in Microscopic Images Using Deep Learning Approaches", within a Marie Skłodowska-Curie European training network called CaSR Biomedicine (Horizon 2020 Framework) as an industrial PhD fellow at the Institute of Pathophysiology and Allergy Research at the Medical University of Vienna and at the Department of Research and Development at TissueGnostics GmbH.
Through a successful FFG grant application, I did a postdoc (2020-2022) within a collaborative project between the Medical Univerity of Vienna and TissueGnostics (project title: Deep learning-based knowledge transfer methods for nuclei segmentation in microscopic images)
Currently, I am employed as an Assistant Professor at Danube Private University (DPU) and a part-time lecturer at the Medical University of Vienna.

Research Interests:

• Deep Learning
• Computer Vision
• Classical Machine Learning Methods (ANN, SVM, MLP, RBF, SOM, ...)
• Medical Image Analysis (Segmentation, Classification, Normalization, ...)
• Medical Imaging (Microscopy, MRI, CT, ...)
• Developing (Python, Keras, Tensorflow, Matlab, PyTorch)

Curriculum Vitae:

• CV April 2024

Publications:

• Google Scholar

Certificates (courses):

• Deep Learning with PyTorch for Medical Image Analysis (Udemy Course, November 2023)
• Python Programming for Medical Imaging (Udemy Course, September 2023)
• Building & Deploying an AI-Powered Medical Imaging Chatbot (Udemy course, August 2023)

• Deep Learning with PyTorch : Image Segmentation(August 2023)

• Introduction to Docker: The Basics (Project-based Coursera course, July 2021)

• TensorFlow Serving with Docker for Model Deployment (Project-based Coursera course, July 2021)
• Introduction to Git and GitHub (Coursera course, August 2020)
• Generate Synthetic Images with DCGANs in Keras  (Project-based Coursera course, June 2020)
• Deep Neural Networks with PyTorch (Coursera course, May 2020)
• Image Denoising Using AutoEncoders in Keras and Python (Project-based Coursera course, May 2020)

Certificates (others):

• Research, Innovation Entrepreneurship (Novartis, Basel, Switzerland Jan 2019)
• Management Systems and Internal Auditor Training (Andrew Hollo-Tas, Jan 2019)
• Self-presentation & Communication (BioTalentum, Gödöllő, Hungary, May 2018)
• Introduction to Academic Teaching (The University of Manchester, Manchester, UK, Sep 2017)
• Translational Drug Research (University of Copenhagen, Copenhagen, Denmark, May 2017)
• CaSR: Molecular and Clinical Aspects (University of Oxford, Oxford, UK, Dec 2016)
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