Beste Basciftci
Papers
1
Total Citations
8
H-Index
1
About
Beste Basciftci is a leading researcher in operations research and data-driven decision-making, with a focus on stochastic optimization, maintenance logistics, and space mission planning. Her work bridges the gap between theoretical optimization and practical applications in high-stakes environments, particularly for deep space habitats. In her most-cited paper, "Data-driven joint optimization of maintenance and spare parts provisioning for deep space habitats: A stochastic programming approach" (2023, 8 citations), she develops a novel framework that integrates uncertainty in equipment failures with spare parts inventory management, enabling cost-effective and reliable operations for long-duration space missions. This contribution is critical for NASA and other space agencies, as it addresses the unique challenges of resource constraints and remote maintenance. Beyond space applications, Basciftci’s research extends to renewable energy systems and healthcare logistics, where her stochastic models improve efficiency under uncertainty. Her work has been recognized for its practical impact, earning her early-career awards and invitations to speak at international conferences. With a growing citation record and a focus on real-world problem-solving, Basciftci is shaping the future of resilient and data-informed decision-making in complex systems.
Research Focus
Key Achievements
Top Papers
- 1