College Directory
Design and modeling of IC fabrication process, computer modeling of semiconductor process and device behavior, numerical solution of partial differential equations.
Precision agriculture, variable rate application, machine systems design, sensor development, instrumentation, machine vision/image processing, farm automation.
Applied AI and data analytics,Internet of Things,Sensors
Dr. Yuanyuan Lei is an Assistant Professor of Computer Science at the University of Florida. Her research direction is Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning, Artificial Intelligence. Her research vision is to develop innovative algorithms and systems for knowledge-aware language modeling, enriching LLMs with diverse forms of knowledge to advance reasoning and planning capabilities of LLMs, as well as ensure trustworthiness and safety alignment of LLMs.…
Statistical signal and array processing, spectral estimation, and signal processing applications in radar, acoustics, and communications.
Dr. Shuai Li is an Associate Professor in the Department of Civil and Coastal Engineering at the University of Florida. He leads the DREAMX Lab, where breakthroughs in Data Science, Robotics, Environmental Transformation, AI, and Manufacturing are harnessed to tackle humanity’s most pressing challenges. Before joining the University of Florida, Dr. Li was the David Goodpasture Endowed Associate Professor and Assistant Professor at the University of Tennessee, Knoxville.…
Education: Ph.D., 2023, Virginia Tech
Research Interests: Plasma Physics, Magnetic Confinement Fusion, Plasma-Material Interactions
Education: Ph.D. 2019, University of Akron
Research Interest: Computational Soft Materials, Structure-Property Relation of Soft Materials, Polymer Physics, Bio-Inspired and Biomimetic Materials, Sustainable Polymers, Colloidal Suspensions.
Website: The Liang Lab
Radio frequency integrated circuits, microwave/millimeter-wave electronics, wireless system engineering, electromagnetic waves.
Robust control, uncertainty modeling, aeroservoelasticity, nonlinear limit cycle oscillations, flight test techniques, time-frequency wavelet analysis.
Applied AI and data analytics,Space,Personalized learning,Experiential learning
Angela S. Lindner received a B.S. degree in chemistry from the College of Charleston in South Carolina in 1983 and an M.S. degree in chemical engineering from Texas A&M University in 1987. Her Master’s thesis work, funded by the Texas Transportation Institute, involved use of phosphogypsum, a byproduct of phosphoric acid production, in road construction, and this work began her environmentally focused career path.…
Research interests include high-dimensional learning, stochastic optimization, algorithms and their applications to medical decision-making & traffic modeling.
Foundational AI,Applied AI and data analytics,Transportation,Personalized medicine,Health care operations and manufacturing
Computer graphics, virtual environments, human computer interaction, image based rendering, computational geometry.
Aerosol dynamics and mechanics, air pollution control systems,
occupational health.
Numerical and computational methods, applied mathematics, statistical quality control.
Urban water resources and nonpoint source pollution, watershed modeling, and the use of climate information in water resource, agricultural, and ecological management, planning, and decision making.
Applied AI and data analytics,Humans and technology,Sensors,Lifelong workforce development,Building a culture of inclusion and innovation,Diverse talent pipeline
Wireless and mobile networking, resource management, quality of service, next generation internet, 3G and 4G wireless communication systems.
Soil-structure interaction, theoretical soil mechanics, numerical
methods in geotechnical engineering, flow through porous media.
Fracture of brittle materials, fractography, fractal analysis of fracture, laminate composites.
Foundational AI,Applied AI and data analytics,Resource management,National Security,Lifelong workforce development,Building a culture of inclusion and innovation,Experiential learning,Diverse talent pipeline
Coastal and estuarine hydrodynamics, sediment transport.
Foundational AI,Applied AI and data analytics,Internet of Things,Energy,Resource management
Water quality, hydrology, stakeholder driven projects, modeling and GIS applications.
