Wolfgang Faber

University of Huddersfield

Papers

1

Total Citations

7

H-Index

1

About

Wolfgang Faber is a researcher at the intersection of sports science and artificial intelligence, with a primary focus on the automation of training plan generation for athletes. His most-cited work, "Automated Training Plan Generation for Athletes" (2018, 7 citations), addresses a critical bottleneck in elite sports: the immense workload on coaches who must translate high-level performance objectives into granular, individualized daily regimens. Faber’s key contribution lies in developing computational models that can systematically generate these detailed plans, thereby freeing coaches to concentrate on strategy and athlete interaction. While his citation count is modest, the work is notable for tackling a highly practical, real-world problem with direct implications for performance optimization. By bridging the gap between AI-driven scheduling and the nuanced demands of athletic training, Faber has laid foundational groundwork for a more efficient, data-informed approach to sports coaching.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Automated Training Plan Generation for Athletes
7 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Huddersfield

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago