András Balogh
Teaching Assistant @ University of Szeged
About
PhD student / researcher in machine learning, with a background in medical image processing and industrial AI development. My main research interests are interpretability, safety and robustness in deep learning. I'm open to industrial R&D positions, summer research scientist / research engineer internships, and research collaborations of any kind, especially in my fields of interest. If interested, drop a DM.
Hungary
Szeged
Higher Education
Machine Learning, Python (Programming Language), Deep Learning, PyTorch, Computer Vision, C++, Digital Image Processing, Research, Artificial Intelligence (AI), Medical Imaging, Software Development, Microsoft Visual Studio Code, R (Programming Language), Visual Studio, Communication, English, Microsoft Visual Studio C++, Image Analysis, Image Registration, Application Programming Interfaces
Experience
Teaching Assistant
University of Szeged
Courses: - Machine Learning (English MSc course, 2 semesters) - Advanced Algorithms and Data Structures (Hungarian BSc course, 6 semesters) - Introduction to Algorithms and Data Structures (English and Hungarian BSc courses, 7 semesters) - Object-Oriented Programming (Hungarian BSc course, 1 semester) - Foundations of Programming (Hungarian BSc course, 1 semester)
Research Assistant
University of Szeged
Szeged, Csongrád, Hungary
Research area: secure, reliable and explainable deep learning in computer vision, through the lens of learned representations and their similarities. I continued this line of research in my PhD programme.
Research Assistant
University of Szeged
Szeged, Csongrád, Hungary
Research area: medical image processing, combined analysis of functional (SPECT, PET, fMRI) and anatomical (MRI, CT) images, fully automated image registration, lesion detection.
Visiting Researcher
Nanyang Technological University Singapore
Singapore
AI Developer and Data Mining Specialist
Bosch Magyarország
My responsibilities were: - creating predictive statistical and AI models for production line assistance (fault detection, predictive maintenance) - developing and maintaining software products around predictive models - coordinating customer requirements and development tasks for a team of 2-3 developers, mentoring interns - providing data mining and pattern analysis in industrial problem solving - contributing to digitalization and AI core teams via knowledge sharing and consulting on related projects
Data Scientist
Bosch Magyarország
Software Developer
Department of Software Engineering, University of Szeged
Szeged, Csongrád, Hungary
Back-end development of a visualization tool for a static source code analysis software. I was part of a team of 2-3 developers.
Education
University of Szeged
Computer Science
Research area: secure, reliable, interpretable and robust deep learning.
University of Szeged
Computer Science
University of Szeged
Business Informatics Engineer
András Balogh's Contact Information
Phone
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