02/05/2025 – QUAD-AI Engage Workshop 2025 on AI and Digital Agriculture
Our research group is excited to participate in the Quad-AI ENGAGE Workshop 2025, which will be held June 15-17, 2025, at the Georgia Tech Hotel and Conference Center. This workshop brings together experts from the U.S., Japan, Australia, and India to discuss how AI and digital technologies can transform modern agriculture. The event will feature discussions on AI-driven crop analytics, hyperspectral imaging, and precision agriculture, focusing on sustainable farming practices to address climate challenges and resource efficiency. Led by researchers from Georgia Tech’s School of Civil and Environmental Engineering and the AI Institute, this workshop provides a platform for international collaboration and innovation in agricultural technology. We look forward to engaging with global experts and contributing to the advancement of AI applications in agriculture. More info
12/30/2024 – Our research group is pleased to announce our latest publication in Nature Communications, titled “Elucidating Governing Factors of PFAS Removal by Polyamide Membranes Using Machine Learning and Molecular Simulations.” This study, led by Nohyeong Jeong and co-authors, combines advanced machine learning models and molecular simulations to unravel the key mechanisms influencing PFAS rejection in nanofiltration and reverse osmosis membranes. By leveraging explainable AI and computational chemistry, this work provides critical insights into electrostatic interactions and molecular structure effects, guiding future membrane design for improved water purification. More info
12/09/2024 – In a recent feature titled “Planting the Seeds of the Farm of the Future,” the College of Engineering highlights the work of Professor Yongsheng Chen and his team in the School of Civil and Environmental Engineering. Dr. Chen’s group is developing digital models of crops using robotic arms and advanced imaging systems to determine optimal harvesting times, thereby reducing resource consumption and greenhouse gas emissions. Additionally, their research includes innovative methods to monitor nutrient uptake in crops, aiming for precise fertilizer application to prevent environmental pollution. These initiatives are part of a broader effort at Georgia Tech to create sustainable agricultural practices that can adapt to a changing climate and support a growing global population. For a comprehensive overview of these groundbreaking projects, read the full article in the Fall 2024 issue of Helluva Engineer magazine. More info
08/19/2024 – Dr. Yongsheng Chen has been received NSF grant for boosting mass transfer for PFAS electrooxidation through enhanced electro-migration.
08/16/2024 – Dr. Yongsheng Chen has been received National Science Funding (NSF; Award ID 2345543) grant to investigate the short-chain per- and polyfluoroalkyl substances (PFAS) removal mechanisms by nanofiltration (NF). Through a combination of experimental and computational approaches, including machine learning and molecular dynamics simulations, the research will explore the structure-property-performance relationship of PFASs in NF treatment. The insights gained will guide the design of more effective NF membranes, ultimately contributing to safer drinking water and environmental sustainability.
05/23/2024 – Professor Yongsheng Chen has been awarded a grant to advance sustainable agriculture through AI research. The project will focus on improving urban Controlled-Environment Agriculture by leveraging emerging technologies such as Artificial Intelligence and Machine Vision. These technologies aim to enhance farming practices, diagnose crop pathogens, and optimize resource use through innovations in nutrient recovery, energy conservation, and wastewater management. This grant underscores Dr. Chen’s commitment to addressing agri-food challenges and promoting sustainable solutions for future food security. More info
04/08/2024 – Dr. Yuankai Huang (postdoctoral researcher) will be joining the Department of Civil Engineering at the University of Memphis as a Tenure-Track Assistant Professor starting in Fall 2024. Dr. Huang brings a wealth of knowledge and expertise in environmental science and engineering, focusing on the development of innovative sensor technologies for water quality monitoring and sustainable water systems. His research integrates machine learning with real-time, in situ sensor data to enhance the management of water treatment processes and decentralized water systems. Congratulations, Dr. Huang!
03/06/2024 – At the Center for Digital Agriculture Conference 2024, held at the University of Illinois at Urbana-Champaign, Dr. Chen presented a keynote presentation titled “Coupling Resource Recovery with Digital Agriculture and AI to Enhance Urban Sustainability and Resilience”. This highlighted innovative approaches to integrating AI in agriculture for improved sustainability and resilience.
