Denisa-Andreea Constantinescu
Papers
2
Total Citations
18
H-Index
2
About
Denisa-Andreea Constantinescu is a researcher specializing in low-power heterogeneous computing systems, with a focus on improving efficiency and decision-making on CPU+GPU System-on-Chip (SoC) architectures. Her work addresses the critical challenge of optimizing performance under uncertainty in energy-constrained environments, particularly for embedded and mobile platforms. Her most-cited paper, "Efficiency and productivity for decision making on low-power heterogeneous CPU+GPU SoCs" (2020, 16 citations), proposes novel frameworks for dynamic resource allocation and workload scheduling, enabling more intelligent trade-offs between power consumption and computational throughput. This contribution is foundational for advancing autonomous systems, IoT devices, and edge computing. Constantinescu’s research bridges theoretical modeling and practical implementation, offering tangible solutions for real-time decision-making in heterogeneous hardware. Her earlier work, "Performance evaluation of decision making under uncertainty for low power heterogeneous platforms" (2019, 2 citations), further explores robustness in adaptive systems. Though her citation counts are modest, her insights are gaining traction in the growing field of energy-aware computing, positioning her as a promising voice in sustainable and efficient hardware-software co-design.
Research Focus
Key Achievements
Top Papers
- 1
- 2