Zahra (Dr.-Ing.) Kamranian
AI and Data Specialist
Experience
AI and Data Specialist
BioScience Valuation
- Solving complex challenges in life sciences and healthcare analytics through the development of advanced machine learning algorithms and large language models (LLMs).
Machine Learning Engineer
Mangomedical
- Designed and implemented advanced computer vision and deep learning methods to address the bone reduction and alignment problem in medical imaging.
Computer Vision - Machine/Deep Learning Engineer
Developed an online automatic detection system for surface defects of steel coil in production line using MATLAB and C++
Implemented detection and classification of concealed trailers and containers in complex cargo x-ray imagery using MATLAB
Developed shared autonomy systems using PyTorch.
Parental Leave and Professional Development
Achieved B2 level in German
Engaged in projects in computer vision and generative models, learning new techniques such as LLMs and their methodologies to expand technical expertise.
Project Manager as Postdoctoral Researcher
Researched machine and deep learning methods in computer and robot vision
Pioneered the development and implementation of robust models using Python, TensorFlow, Keras, Pandas, NumPy, and scikit-learn to solve complex problems in computer and robot vision
Generated a new dataset for the camera pose estimation problem, enhancing resources for advancing research in the domain
Published research findings in prominent journals in the fields of machine learning, computer vision, and robotics
Led extensive experimental evaluations on camera pose estimation and visual servoing in collaboration with the team
Supervised and supported master’s theses, including guidance and oversight throughout the research and development process.
Lecturer
University of Isfahan & Shahid Ashrafi Isfahani University
- Taught courses in computer programming, artificial intelligence, deep learning, compiler design, and computer simulation.
Research Visitor
Technical University of Munich
Conducted research under the Chair for Computer Aided Medical Procedures & Augmented Reality (CAMPAR) supervised by Prof. Nassir Navab
Developed deep learning methods for image co-segmentation.
Research Associate as PhD Student
Researched computer vision and machine/deep learning approaches
Designed, developed, and implemented innovative algorithms with MATLAB and C++ to solve complex problems in image and video segmentation
Applied advanced statistical analysis techniques and optimization algorithms to enhance efficiency and performance metrics
Published achievements in conferences and high-impact journals
Prepared documentation, presentations, and reports.
Lecturer
Industry Experience
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Experienced in Education, Information Technology, Healthcare, Biotechnology, Transportation, and Manufacturing.
Business Area Experience
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Experienced in Research and Development, Product Development, Project Management, Business Intelligence, Information Technology, and Quality Assurance.
Skills
Programming Languages/tools/libraries
- Python
- Matlab
- C++
- Sql
- Java
- Pandas
- Numpy
- Matplotlib
- Scikit-learn
- Opencv
Machine Learning Frameworks
- Tensorflow
- Keras
- Pytorch
Devops
- Git
- Github
- Docker
Other Tools
- Latex
- Vs Code
- Cursor
- Jupyter Notebook
Soft Skills – Motivation
- Self-motivated, Responsible, And Eager To Learn
Soft Skills – Communication And Teamwork
- Technical And Analytical Skills With Effective Communication And Teamwork
Languages
Education
PhD in Artificial Intelligence, Image co-segmentation based on label propagation with application on video annotation · Artificial Intelligence · AGP 18.8/20
MSc in Software Engineering, Persian Handwritten Postal Code Detetion and Recognition on Real Postal Envelops · Software Engineering · AGP 18.49/20
BSc in Software Engineering · Software Engineering · AGP 16.81/20
Certifications & licenses
German Course B2 For Work With A B2 Telc Certificate
German Course With DTZ B1 Certificate
Statistics
Experience
Expertise
Qualifications
Profile
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