Roman Filipek

AGH University of Krakow

Papers

2

Total Citations

8

H-Index

2

About

Roman Filipek is a researcher advancing the intersection of robotics and environmental monitoring, with a primary focus on using autonomous multirotor flying robots (drones) for air pollution detection and source localization. His work addresses the critical challenge of locating particulate matter (PM) sources—pollutants that pose severe risks to human health and the environment. Filipek’s key contributions include the design and implementation of a novel particulate matter measurement system integrated into a drone, enabling energy-efficient searching for pollution sources. This system, detailed in his most-cited 2023 paper (5 citations), demonstrates how autonomous flight can optimize air quality monitoring. He further strengthens this work through computational fluid dynamics (CFD) analysis, as seen in his 2022 study (3 citations), where he models rotor-induced airflow to assess how propeller dynamics affect PM sensor accuracy. By using ANSYS Fluent to simulate these interactions, Filipek provides critical insights for sensor placement on drones, improving measurement reliability. His research bridges engineering, environmental science, and data-driven robotics, offering practical solutions for real-time pollution tracking. With a growing citation impact, Filipek’s work is foundational for developing energy-efficient, autonomous systems that can identify and mitigate airborne hazards, making him a notable contributor to sustainable environmental technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of a Particulate Matter Measurement System for Energy-Efficient Searching of Air Pollution Sources Using a Multirotor Robot
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: AGH University of Krakow

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago