Anna Jaskulska

Papers

1

Total Citations

10

H-Index

1

About

Anna Jaskulska is a researcher whose work sits at the intersection of automation, artificial intelligence, and human-centered design, with a particular focus on the evolving landscape of Industry 4.0. Her most recognized contribution, the 2018 paper "Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots," has garnered 10 citations and stands as a meaningful entry point into the discourse surrounding Robotic Process Automation (RPA) and its practical implementation challenges. In this work, Jaskulska tackles the real-world complexities of deploying RPA across organizations of varying scales — from small and medium-sized enterprises to large corporations — advocating for a thoughtful integration of machine learning within a Lean operational framework. What distinguishes her approach is the emphasis on keeping human considerations central to the design of software robots, rather than treating automation as a purely technical endeavor. For students and researchers exploring the human dimensions of digital transformation, Jaskulska's scholarship offers a grounded and practically oriented perspective on how intelligent automation can be responsibly and effectively introduced into modern business environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots
10 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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