Anna Maschek
Junior Researcher (PhD Student)
Contact:
- email: anna.maschek@ustp.at
University of Applied Sciences St. Pölten
Institute for Creative\Media/Technologies
Institute for Creative\Media/Technologies
Highest degree:
Masters
Degree name:
Interactive Media
Area of expertise:
Engineering and technology
Skills:
My research sits at the intersection of human-computer interaction, natural language processing, and computer vision, with a shared focus on making large, complex data collections more accessible and interpretable.
My current PhD work investigates how humans and intelligent systems can collaboratively explore unstructured data, with particular attention to designing interaction paradigms that support sensemaking processes.
In previous projects, I designed and implemented systems for information discovery from large unstructured text corpora, drawing on a range of NLP techniques.
I also contributed to a wildlife monitoring project using drone footage, where my work spanned the design and implementation of a labeling interface for domain experts, handling both RGB and thermal video data, as well as data postprocessing and object detection model training.
In my master's thesis, I explored the use of computer vision to assist climbers on a wall in real time, with the broader goal of supporting visually impaired and less experienced climbers, a project I hope to continue in the future.
My current PhD work investigates how humans and intelligent systems can collaboratively explore unstructured data, with particular attention to designing interaction paradigms that support sensemaking processes.
In previous projects, I designed and implemented systems for information discovery from large unstructured text corpora, drawing on a range of NLP techniques.
I also contributed to a wildlife monitoring project using drone footage, where my work spanned the design and implementation of a labeling interface for domain experts, handling both RGB and thermal video data, as well as data postprocessing and object detection model training.
In my master's thesis, I explored the use of computer vision to assist climbers on a wall in real time, with the broader goal of supporting visually impaired and less experienced climbers, a project I hope to continue in the future.