Chenguang Wang
Track
Research Frontiers
Faculty Mentors
Dawei Zhou
Assistant Professor, Computer Science
Lu Zhang
Assoicate Professor, Myers-Lawson School of Construction
Le Wang
Professor and David M. Kohl Chair, Agricultural and Applied Economics
Research Focus
I plan to lead a research project in artificial intelligence (AI) focused on addressing data scarcity, a key bottleneck that limits the reliability and deployment of AI systems in real-world settings. The project will develop data-efficient learning methods, including self-supervised learning, synthetic data generation, and transfer learning, to reduce dependence on large labeled datasets. These methods will be applied to practical domains such as disaster management, engineering systems, sensing, and decision support. The expected impact is more robust, generalizable, and accessible AI models for data-limited, high-stakes environments.
Why did you choose to pursue postdoctoral training at Virginia Tech?
I chose Virginia Tech because of its strong engineering-focused research environment and clear emphasis on solving real-world problems. The university offers rich opportunities to develop and apply AI methods within engineering and applied domains, supported by a collaborative and interdisciplinary research culture. This environment is well aligned with my goal of advancing practical, data-efficient AI research with real impact.
What are you most looking forward to as you begin in this fellowship at Virginia Tech?
I am most looking forward to clarifying and pursuing a focused long-term research direction while building a strong and independent research profile. This fellowship provides an ideal opportunity to deepen my expertise, lead impactful projects, and translate AI research into practical applications. I also look forward to collaborating with faculty and students at Virginia Tech to grow as an independent researcher.