Martin J. Sliwinski
Pennsylvania State University, Hamburg University of Technology
Papers
3
Total Citations
32
H-Index
2
About
Martin J. Sliwinski is a leading researcher at the intersection of cognitive aging, mobile health, and digital measurement. His work focuses on understanding how cognitive function fluctuates in daily life and how technology can be leveraged for remote, real-time cognitive assessment. A major contribution is his critical examination of bring-your-own-device (BYOD) approaches for smartphone-based cognitive testing, where he has shown that device-level latencies can significantly impact data quality and validity—a key consideration for large-scale, decentralized studies. His 2022 paper on this topic has already garnered 24 citations, underscoring its importance for researchers deploying mobile cognitive assessments. Sliwinski’s work also extends to applied robotics, where he has systematically compared consumer-grade stereo depth cameras for environmental perception, helping to guide the selection of reliable sensors for autonomous systems. By bridging metrology, cognitive science, and real-world deployment, Sliwinski is shaping best practices for mobile sensing and remote data collection, making his research essential for anyone designing digital health or behavioral studies.
Research Focus
Key Achievements
Top Papers
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