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. His research, supported by the National Science Foundation, the U.S. Department of Energy, and leading technology companies, advances the frontiers of artificial intelligence and robotics for the built environment. His current research focuses on construction humanoids, robotic systems in diverse form factors, AI agents for construction enterprises, and digital twins and intelligent systems for buildings and urban environments.…
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
Tobias Lodemann is an Instructional Assistant Professor in the Department of ISE at the University of Florida. His teaching interests include data analytics, manufacturing management, and Supply Chain Management. His research focuses on AI in healthcare settings and improvements in trauma resuscitation care, as well as the enhancement of engineering education.
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.
Primary Research Area
Human-Centered Computing
Research Areas
Human-Centered Computing
Education
Ph.D., Computer Science and Engineering, University of Michigan – 2012
M.S., Computer Science and Engineering, University of Michigan – 2007
B.S., Computer Science, University of Maryland, Baltimore County – 2005
Research Interests
Utilizing signal processing to render 3D audio, Using 3D audio to sonify information and environments, Discovering interface design techniques for developing virtual auditory environments, Using 3D audio to augment assistive technology for persons with visual impairments, Enhancing immersion and realness in virtual worlds using 3D audio
Publications
See full list here.…
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.
Applied AI and data analytics,Space,Materials Under Extreme Environments
Design automation for embedded systems, system-level design, validation of programmable architectures, VLSI CAD algorithms, design space exploration of SOC architectures.
Foundational AI,Applied AI and data analytics,Cybersecurity,Internet of Things,Semiconductor,Energy,National Security,Bioinformatics
Micro/nanoscale transport and nanotechnology for energy science and health applications; nanoengineering of functionalized membranes for energy conversion and storage and filtration/separation applications; heat and mass transfer in micro/nanostructures; microfluidic reactor platforms for fundamental energy research and reaction engineering; portable power
Systems ecology, estuarine/marine ecology, coastal ecosystem
management, ecology, systems theory in ecosystems.
Ionospheric effects of lightning, non-linear HF heating of the ionosphere, and remote sensing applications of VLF wave
propagation in the Earth-ionosphere waveguide