Tong’s group tackles challenges in the interdisciplinary areas of sustainable materials, catalytic conversion, and intelligent systems. We target innovative technologies including self-assembly, catalysis, material design, and machine learning for producing chemicals, materials, and fuels from renewable resources for a beneficial circular economy.

Tong group’s core research spans three main research areas, including multi-function material design, nano-scale self assembly, AI-based smart sensor & control, and sustainable catalytic processes. We focus on the design of advanced materials with tailored functionalities. This includes the development of innovative materials for advanced water treatment and purification, and chemical sensors for food safety monitoring. We engineer the self-assembly of biomolecules and nanoscale building blocks to create new architectures. This area is critical for designing smart and controlled-release materials and developing novel methods like waste-treat-waste for environmental mitigation. We integrate artificial intelligence and machine learning with smart sensing technologies. This enables the control and optimization of complex systems, from biorefinery process control to accelerated catalyst design and the development of intelligent monitoring systems for quality and safety. We develop sustainable catalytic processes that transform renewable feedstocks into valuable chemicals and fuels with minimal environmental impact. This includes the design of efficient catalysts for biomass valorization to produce of bio-derived aromatic chemicals and aviation fuels.
Lab News

Welcome new members joining Tong Lab
Aug 2025 | GA
Welcome to the new PhD student Yudong!

Geng-Sheng and Lan published an article on Matter
Jun 2025 | GA
Congratulations! Geng-Sheng and Lan published an article Regenerable triboelectric artificial hyperaccumulator for sustainable heavy-metals detection and remediation on Matter.

Abby takes first place poster prize
Oct 2024 | GA
Congratulations! Abby won first place at the Frontiers in Biorefining (FIB) 7th International Conference for her poster “Machine learning-aided real-time volatile organic compounds detection through robust colorimetric sensor arrays.”

Congratulations to Akanksha and Xintong
Jan 2024 | Atlanta, GA
Akanksha and Xintong passed the qualifying exam. Congrats!