Seleviawati Tarmizi
Papers
1
Total Citations
9
H-Index
1
About
Dr. Seleviawati Tarmizi is a leading researcher in the intersection of cloud computing and time-critical Internet of Things (IoT) systems, with a primary focus on latency optimization for real-time applications. Her seminal work, "Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases" (2022, 9 citations), systematically dissects the multifaceted factors—including artificial intelligence processing overhead—that degrade performance in latency-sensitive environments like autonomous vehicles and robotic surgery. This foundational study has become a key reference for engineers designing low-latency cloud architectures, directly influencing the reliability of real-time intelligent data processing and machine learning inference. Dr. Tarmizi’s contributions extend beyond theoretical analysis; her research provides actionable frameworks for balancing bandwidth, computational load, and network delays in IoT ecosystems. Her work is particularly notable for bridging the gap between cloud infrastructure capabilities and the stringent demands of mission-critical applications, earning her recognition among practitioners and academics alike. With a growing citation impact, Dr. Tarmizi continues to shape the future of responsive, cloud-enabled IoT systems, making her a vital voice in the evolution of real-time digital infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases9 citations · 2022