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Research Labs and Groups

Centers, Institutes, laboratories, and research groups that IAI Faculty Fellows lead or participate in. This list should not be considered exhaustive. 

AI for STEM Education Center (AI4STEM)

AI4STEM Education Center is a hub for faculty members from the Mary Frances Early College of Education, Franklin College of Arts and Sciences, and College of Engineering, aiming to foster interdisciplinary collaboration on using AI to advance STEM education

Applied Machine Intelligence Initiative and Education (AMIIE) Laboratory

The main goal and purpose of the AMIIE Laboratory led by Soheyla Amirian is to conduct and promote fundamental and applied Artificial Intelligence (AI) research and education in solving real-world problems, ranging from health informatics to surveillance systems and security.

Computational Nano/Bio-Mechanics Lab

The ultimate goal of our research is to understand the fundamental principles that control mechanical properties and behavior of materials in both engineering and biology by virtue of theoretical analyses, computational modelings, and experimental investigations. Our current research mainly focuses on mechanics of 2D nanomaterials and nanostructures; mechanical principles of cortical folding; mechanics of hierarchical structures in biological materials such as bone, shell and nacre; bio-inorganic interfaces; mechanics of cell and nanoparticle interactions; instability of soft matters etc.

Developmental Dynamics Lab

The lab focuses on how behaviors and social interactions impact developmental trajectories throughout infancy and into toddlerhood. 

Evolutionary Computation & Machine Learning (ECML) Lab

Research in the Evolutionary Computation & Machine Learning (ECML) Lab is centered around Genetic and Evolutionary Algorithms, Machine Learning and the intersection/ cross-fertilization of the two fields. We conduct research in genetic algorithm methodologies and applications in science and engineering with emphasis on using machine learning approaches to enhance evolutionary optimization. We also develop, apply and analyze machine learning approaches for numerous Bioinformatics and computational biology domains. 

Forest Management, Planning, GIS, GNSS

A research group within the Warnell School of Forestry & Natural Resources, led by Dr. Pete Bettinger.

Generative AI Research Cluster

Harnessing the power of generative AI to address complex challenges and inspire transformative solutions across domains.

Georgia Gambling and Decision Lab

The Georgia Gambling and Decision Lab is based in the Psychology Department of the University of Georgia. The lab is collaborative in nature, and has been directed by Dr. Adam Goodie since 1998. Our research is dedicated to the multidisciplinary domains of gambling studies and judgment and decision making under uncertainty. The primary areas of current research interest are: 1) understanding gaming, gambling, and other risk-based behaviors; 2) approaches to the origin, maintenance, prevention and treatment of problem gambling; 3) personality effects and individual differences in decision making and gambling; and 4) cross-cultural differences in gambling and risk attitude. 

Georgia Informatics Institutes for Research and Education (GII)

The explosion of digital information has created new opportunities in so many fields-from the sciences to engineering and the humanities. The goal of the Georgia Informatics Institutes (GII) is to help faculty use informatics as a tool to help answer research questions while making it easier for them to incorporate informatics into their instruction.

Heterogeneous Robotics (HeRo) Research Lab 

HeRo lab conducts experimental and application-oriented research in heterogeneous robotics systems of varying functionalities and mobility capabilities. Specifically, the current research focus are on multi-robot systems, wireless networks, intelligent & intuitive teleoperation, human-robot interfaces, robotics applied in nuclear, radioactive, rescue, disaster, and challenging environments, and machine learning applications to multi-agent systems. Our vision is to capacitate autonomous heterogeneous multi-human multi-robot systems with intelligent, resilient, and robust methods for cooperation, communication, and interactions.

Hoarfrost Lab

We are an interdisciplinary team developing cutting-edge tools to explore some of the most mysterious and urgent questions about our ocean, our Earth, and beyond. In the Hoarfrost lab, we develop deep learning and other computational approaches to capture the complexity of biological systems. We design high-throughput experimental approaches to test hypotheses and build better understanding of environmental systems. And we demonstrate the real-world impact and performance of our technologies in the field.

Hopkinson Lab

We study the ecology and physiology of photosynthetic organisms in marine ecosystems. Our lab focuses on phytoplankton, the unicellular algae that are responsible for nearly all photosynthesis in the ocean, salt marsh plants, and corals. Recent research has included studying the effects of climate change on phytoplankton and the metabolites they produce, investigating the taxa responsible for primary production on coral reefs, and developing methods to map marine ecosystems such as salt marshes and coral reefs.

Institute for Cybersecurity and Privacy

The mission of the Institute for Cybersecurity and Privacy (ICSP) is to contribute to meeting the nation's cybersecurity defense research and education needs. The goal of ICSP is to become a state hub for cybersecurity research and education, including multidisciplinary educational programs and research opportunities, outreach activities, and industry partnerships.

The National Security Agency and Department of Homeland Security named the UGA Institute for Cybersecurity and Privacy a National Center of Academic Excellence in Cybersecurity Research (CAE-R), an honor that recognizes the strength of the institute's cybersecurity and privacy research program, faculty and students.

Intelligent Vision and Sensing Lab

A research lab within the School of Electrical and Computer Engineering, led by Dr. Guoyu Lu.

Linguistic Atlas Project

The Linguistic Atlas Project (LAP) consists of a set of survey research projects about the words and pronunciation of everyday American English, the largest project of its kind in the country.

Ma Lab

Our research aims to develop new statistical theory and methods in analyzing vast and complex data to solve scientific and engineering problems with broad societal impacts.  Interdisciplinary research led by our lab is making key contributions to resolving grand challenges of big data analytics.

Manufacturing Optimization, Design, and Engineering-Education Lab (MODEL)

We are a diverse group of scientists working on design, manufacturing, and engineering education research 

Physical Activity & Community Environment (PACE) Lab

Rethinking Existing Spaces for Physical Activity

Quinn Research Group

We are an interdisciplinary group, primarily focused on how data science can be a tool for knowledge discovery in public health applications.

Spatially Explicit Artificial Intelligence (SEAI) Lab

The Spatially Explicit Artificial Intelligence Lab focuses on designing better machine learning and artificial intelligence models by leveraging spatial knowledge and biases.

Sustainable Bioproducts and Biofuels Research Laboratory

Our research group is focused on developing circular and sustainable technologies for maximum utilization of organic materials into high-value chemicals, fuels, and bioproducts, while modeling and assessing the sustainability of agricultural, food and forestry systems.


Students and faculty affiliated with the THINC lab conduct cutting edge research in AI and Robotics. We rigorously investigate various problems of interest in contexts such as multiagent systems, reinforcement learning, mobile robots, and the semantic web. We have published more than a hundred papers in top tier research conferences such as AAAI, UCAI, AAMAS, IROS, ICRA, and journals such as JAIR and JAAMAS. Our research is often multi-disciplinary and we collaborate with renowned researchers including psychologists, education specialists and biologists in the US and beyond. Our research has been funded by grants from NSF, multiple DoD agencies, NIH, and the industry.

Torrance Center for Creativity and Talent Development

The Torrance Center for Creativity and Talent Development is a service, instructional, and research center based in UGA’s Mary Frances Early College of Education. The overarching goals of the Torrance Center are to investigate, evaluate, and implement techniques for enhancing creativity across domains of human enterprise and to increase creative literacy in the local, state, national, and international communities.

UGA Center for Brain-inspired Artificial Intelligence 

The University of Georgia Center for Brain-inspired Artificial Intelligence strives to discover fundamental principles in both brain science and artificial intelligence (AI), and to create new biological, physical and computational models that bridge the significant gaps between brain science and AI.

UGA Small Satellite Research Laboratory (SSRL)

The Small Satellite Research Laboratory (SSRL) is developing and launching new and innovative technologies into space by utilizing the CubeSat platform, a small-scale satellite that is designed for rapid iteration and development (~3 years). Currently ~50 undergraduates from all over campus (computer science, engineering, physics, mathematics, marine science, graphic design, etc.) lead and operate the lab while being mentored by faculty from five departments around campus.

Virtual Experiences Laboratory

The VEL serves as the center of virtual reality research and education at UGA. The mission of the VEL is to enable researchers and students to develop and study the next generation of virtual worlds, advanced user interfaces, and virtual reality applications.

Visual and Parallel Computing Lab (VPCL)

The goals of the VPCL are to undertake projects that advance the state of the art in the theory and applications of Visual Computing and Parallel Computing.

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