Pei-Kuei Tsung

MediaTek (China), National Center for High-Performance Computing

Papers

Total Citations

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About

Pei-Kuei Tsung is a leading researcher at the intersection of artificial intelligence and edge computing, with a focus on deploying intelligent systems in real-world, resource-constrained environments. His seminal work, “Technology Trend of Edge AI” (2018), has garnered 86 citations and serves as a foundational reference for understanding the shift from cloud-based AI to on-device processing, a critical enabler for applications in robotics, smart transportation, and healthcare. Tsung’s research addresses the core challenge of bringing AI’s cognitive capabilities directly to mobile and embedded systems, reducing latency and enhancing privacy. More recently, he has ventured into the domain of autonomous driving, proposing novel approaches for predicting the behavior of dynamic agents. His 2021 paper on “Trajectory Prediction at Unsignalized Intersections” introduces a Social Conditional Generative Adversarial Network (SCGAN) to model the complex, multimodal interactions between vehicles and pedestrians. This work moves beyond deterministic models to capture the inherent uncertainty of real-world traffic, a vital step toward safer, proactive driving systems. Tsung’s contributions are shaping the future of intelligent, autonomous systems that operate reliably at the edge.