Shengrong Gong

Papers

Total Citations

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About

Shengrong Gong is a researcher at the intersection of artificial intelligence, smart healthcare, and human-robot interaction. Their work focuses on leveraging AI-driven systems to address real-world challenges in public health and education. Gong’s most cited paper, “Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare” (2020, 10 citations), introduces a novel framework integrating drones and transfer learning to overcome sensor deployment and data sustainability issues in regional disease monitoring—a critical contribution to smart healthcare infrastructure. More recently, Gong has explored socially assistive robotics, as seen in “Analyzing the Potential of Using Social Robots in Autism Classroom Settings” (2023, 3 citations), which examines how AI-powered robots can support therapeutic and educational interventions for children with autism. Their ongoing work in model-based policy optimization (2025) further demonstrates a commitment to advancing reinforcement learning methods. With a growing citation record and a focus on translating AI innovations into practical, socially impactful applications, Gong is establishing a reputation for bridging technical rigor with human-centered design.