Seleviawati Tarmizi

Universiti Malaysia Sarawak

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

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universiti Malaysia Sarawak

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago