Dr. Alina Zare (Herbert Wertheim College of Engineering) will be the keynote speaker for the 21st Soil, Water, and Ecosystem Sciences (SWES) Research Forum. Her talk is titled “Advancing Foundational AI Research and Applications through Transdisciplinary Collaboration.” She will highlight how machine learning and artificial intelligence can revolutionize problem-solving in areas like agriculture and environmental sciences. She will discuss the importance of blending disciplines to address challenges posed by unconventional data sources, uncertain environments, and application-specific constraints. Dr. Zare is a professor in the UF Electrical and Computer Engineering Department. She also serves as an associate dean and director of the UF Artificial Intelligence and Informatics Institute.
The Forum is set for Monday, February 10, 2025, in the Reitz Union’s Rion Ballroom at the University of Florida. The event includes:
- Featured faculty oral presentations showcasing research in artificial intelligence applications, soil nutrient management, climate change mitigation, and more.
- Graduate student oral presentations highlighting their innovative contributions to soil, water, and ecosystem sciences.
- Poster Sessions offering a chance to explore diverse research topics in soil, water, and ecosystem sciences.
Registration begins at 8:15 a.m. with Dr. Chris Wilson (SWES interim department chair) giving the welcome address at 9:10 a.m., followed by Dr. Scott Angle’s (senior VP for agriculture and natural resources) opening remarks before Dr. Zare speaks at 9:30 a.m. Faculty members giving oral presentations include Dr. Lakesh Sharma, Dr. Ebrahim Babaeian, and Dr. Nikolaos Tziolas. Several SWES graduate students will also give oral presentations, followed by poster sessions in the afternoon. Anyone who would like to present a poster should contact Michael Sisk: mjsisk@ufl.edu
Attendance is free, and the event is open to the public. For more details and registration, visit: https://soils.ifas.ufl.edu/research/research-forum/
Featured image created with artificial intelligence, using DALL-E and Adobe Firefly.
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