Inaugural IAI Seed Grant Program Awards Announced

The Institute for AI launched its inaugural seed grant program with generous funds from the Provost's Office, a couple of months ago.  The Institute held its seed grant competition in two rounds, during which it requested letters of intent in the first round, invited full proposals in the second round, and selected just a handful of these for funding. All full proposals were thoroughly assessed by reviewers from our interdisciplinary review committee. We sincerely thank the review committee for volunteering their time to help in our decision making. 

Sun Joo (Grace) Ahn

Professor, Advertising & Public Relations
Director of the Center for Advanced Computer-Human Ecosystems (CACHE) Lab

Dr. Ahn teaches undergraduate-level research methods, graduate-level user experience research, communication theory, and advertising and society. Her research examines how social media, video/internet games, and immersive virtual environments influence user attitudes and behaviors. She also directs the Center for Advanced Computer-Human Ecosystems (CACHE) lab.

Education:
  • Ph.D., Communication, Stanford University
  • M.A., Communication, Stanford University
  • B.A., Communication/Business Administration, Seoul National University
Research Interests:

Dr. Ahn is the director of the Center for Advanced Computer-Human Ecosystems (CACHE) lab. Her main program of research investigates how interactive digital media transform traditional rules of communication and social interactions, looking at how virtual experiences shape the way the way that people think, feel, and behave in the physical world. Her work has helped establish foundations for the theoretical advancement of virtual experiences in mediated environments and how their effects transfer into the physical world in four different contexts: health, consumer psychology, conservation, and education. Her ongoing work includes a NSF funded project exploring the application of virtual agents to promote STEM learning for children in informal learning environments, such as children’s museums. Her work has been published in a number of flagship outlets, including Journal of Advertising, Journal of Computer-Mediated Communication, Communication Research, Journal of Health Communication, Human-Computer Interaction, and Media Psychology.

Gagan Agrawal

Professor & Inaugural Director, School of Computing

Gagan Agrawal started in July 2023 as the First Director of the School of Computing at University of Georgia. Prior to joining UGA he   currently a Professor and Associate Dean for Research and Graduate Studies in the School of Computer and Cyber Sciences at Augusta University. In his role at Augusta University, he has been responsible for driving the research momentum at the new school, growing its research funding portfolio from under $100,000 to over 10 million in 3 years. At Augusta he was also a program director for PhD and MS programs in the school, core director for the High Performance Computing (HPC) core, and co-chair of the Research Technology Advisory Committee (RTAC). At Augusta University he successfully lead a proposal for an Engine Development Award from NSF’s TIP, one of the first such awards from NSF’s newest directorate.

He received his undergraduate degree from Indian Institute of Technology (IIT) Kanpur in 1991 and MS and PhD degrees from University of Maryland, College Park, in 1994 and 1996, respectively. He served as Assistant Professor in Computer and Information Sciences (CIS) at University of Delaware between 1996 and 2001. Between 2001 and 2019, he served as Associate Professor, Professor, Graduate Director and Interim Department Chair at Ohio State University. He has carried out research in High Performance Computing, Cloud / Grid systems, Scientific Data Management, Data Mining, Social Media Analytics, and lately, Cybersecurity. His work in these areas has resulted in more than 300 peer-reviewed publications, more than 9000 citations, and 35 advised or co-advised students finishing their PhD. He has served as PI or co-PI for 27 different awards from National Science Foundation (NSF) worth nearly 22 million dollars (and PI for 18 awards totaling nearly 11 million dollars). He has also received significant funding from Department of Energy (DOE), National Security Agency (NSA) and others. He has served on the editorial board of four journals and served as program committee co-chair, area chair, or program committee member for many conferences.

Education:
  • PhD and MS, Computer Science, University of Maryland, College Park
  • B. Tech, Indian Institute of Technology (IIT) Kanpur
Research Interests:
  • High Performance Computing
  • Scientific Data Management
  • Applications of Machine Learning and Data Science

Lehong Shi

Assistant Research Scientist, Department of Workforce Education and Instructional Technology

My research is dedicated to exploring the transformative journey of K-12 STEM educators as they integrate artificial intelligence (AI) tools (e.g., intelligent tutoring systems, robotics, adaptive learning systems, Generative AI) into the classroom environment. I seek to delve into how STEM teachers utilize and interact with AI technologies in their teaching, their perceptions and understanding of AI and AI literacy, as well as the evolution of their professional identities in relation to AI. Furthermore, I examine the nature of teacher-AI interactions and the professional development of STEM teachers as it pertains to AI integration.

Education:
  • Ph. D. in Learning, Design, and Technology, 2023, University of Georgia
Research Interests:

Areas of Expertise

  • Artificial Intelligence in education
  • STEM teacher education
  • Workforce preparation

Interests

  • AI-empowered STEM teaching and learning
  • Workforce AI competencies
  • Teacher education of AI integration
  • Teacher AI competencies
  • Human-AI interaction and relationship

Concentrations

  • Workforce Education

Yizhu Gao

Assistant Professor, Department of Mathematics, Science, and Social Studies Education

Dr. Gao’s research focuses on AI in science education. She leverages AI techniques to design and build adaptive learning systems, making personalized learning scenarized, intelligent, and scalable. She also utilizes educational data mining and machine learning techniques to identify students’ behavioral and complex cognitive patterns. Through these efforts, she aims to enhance the effectiveness and inclusivity of science education practices.

Education:
  • Ph.D. in Measurement, Evaluation, and Data Science, 2023, University of Alberta
Research Interests:

Areas of Expertise

  • Science education
  • Educational data science
  • AI in education

Interests

  • Learning progression
  • Process data mining and analysis
  • Adaptive learning
  • Machine learning-based innovative assessment

Usree Bhattacharya

Associate Professor, Department of Language and Literacy Education

Dr. Usree Bhattacharya is an Associate Professor in the Language and Literacy Education Department at the University of Georgia. She holds a PhD in Education from the University of California, Berkeley (2013). Her research focuses on diversity, equity, and access in multilingual education, with particular attention to how language ideologies sustain educational hierarchies. Further, as director of the Rett Lab@UGA, she leads research on eye-tracking augmentative and alternative communication for individuals with Rett syndrome. Currently, she is heading a project on AI and disability bias within the Lab. Dr. Bhattacharya also teaches courses on AI in education at UGA, exploring how AI can help support more inclusive, technology-enhanced learning environments. In Fall 2024, Dr. Bhattacharya is participating in a U.S. Department of State virtual project to train English teachers of STEM students, focusing on Project-Based Learning and AI technology to help improve speaking skills.

Education:
  • PhD in Education, 2013, University of California, Berkeley
  • MA in Teaching International Languages, 2006, CSU Chico
  • MA in English Literature, 2001, Lakehead University
  • BA (Hons.) in English, 1998, Delhi University
Research Interests:
  • Language acquisition; language and literacy in multilingual contexts
  • Language ideology and language policy
  • AI in education and responsible/ethical implementation
  • Disability studies and communication (literacy and learning with significant disabilities)

Richard Lawrence Lamb

Associate Professor, College of Pharmacy, Clinical and Administrative Pharmacy
Director, Neurocognition Science Laboratory

Dr. Lamb’s research focuses on identifying cognitive markers of learning and enhancing information processing using novel technologies in educational settings. A key area of his work uses psychophysiological measurement tools and virtual reality environments to provide learning opportunities and to assess student cognitive, emotional, and behavioral states. Dr. Lamb has worked with students of all ages, from pre-K through postgraduate levels. Along with his faculty duties, Dr. Lamb will serve as Director of the Neurocognition Science Laboratory, an interdisciplinary collaborative at UGA.  

His research aims to translate basic neuroscience into educational practices that improve learning outcomes. 

Education:
  • Ph.D. – Science Education / Educational Measurement – George Mason University, Fairfax, Virginia – 2013
  • M.S. – Mental Health Counseling – East Carolina University, Greenville, North Carolina – Estimated 2024
  • M.S. – Science Education and Instructional Technology – North Carolina State University, Raleigh, North Carolina – 2009
  • B.S. – Biochemistry, Canisius College, Buffalo, New York – 1999
Research Interests:
  • Learning sciences and educational neuroscience
  • Psychophysiological measurement in learning
  • Virtual/extended reality for instruction and assessment
  • Technology-enhanced learning and outcomes

Efthymia Antonoudi

Assistant Professor and Undergraduate Coordinator, Financial Planning, Housing and Consumer Economics

Effie serves as an Assistant Professor and the Undergraduate Coordinator for all Financial Planning, Housing, and Consumer Economics majors and minors, and she is the liaison with the other UGA schools and colleges, other institutions of higher education, and the community.

Effie created the FACS Greece Study Abroad Program at the University of Georgia. Students from FACS and across UGA experience the country and its cultural heritage and take an in-depth look at the causes and aftermath of Greece’s recent financial crisis, including the current conditions and how consumers have been impacted.

Effie received a B.S. in Accounting and Finance from the University of Macedonia in Greece, an M.B.A. and Master's in Professional Accountancy from Georgia State University, and a Ph.D. in Personal Financial Planning from Kansas State University. Effie is a Certified Public Accountant (CPA) and a Certified Financial Planner (CFP®). She has over ten years of experience in business – in financial consulting, marketing, accounting, auditing, and, most recently, international tax consulting. She has also worked with the Executive MBA Program at Georgia State University. Effie joined the University of Georgia in January 2016 as an Academic Professional.

Education:
  • Ph.D. Personal Financial Planning, Kansas State University 2023
  • M.B.A. Accounting, Georgia State University 2009
  • Master of Professional Accountancy, Accounting, Georgia State University 2009
  • B.S., Accounting and Finance, University of Macedonia, 2006
Research Interests:
  • Personal financial planning and household finance
  • Taxation and income/transfer systems in personal finance
  • Retirement and estate planning
  • Financial advice, decision-making, and investor behavior
  • Housing and homeownership

Multi-disciplinary AI research seed grant program launched

 

The Institute for AI (IAI) is pleased to launch its interdisciplinary seed grant program for the 2025 fiscal year. Our aim is to seed multi-disciplinary teams of IAI faculty with resources so that they can execute inter-disciplinary research projects that can lead to large extramural research grants. We thank the Provost's Office for making the funding available to the Institute.

 

Venkat Umesh Chandra Bodempudi

PhD AI Student

Venkat is a PhD student and also a Graduate Research Assistant at the University of Georgia's Precision Management/Well Being Lab in the Department of Poultry Science. He specializes in precision agriculture and poultry farming, focusing on developing and validating machine learning and deep learning models for monitoring poultry behavior and welfare. His work includes the application of computer vision, robotics, and mobile applications to improve precision management in poultry production. Venkat has presented his research at several international conferences and is a member of the Poultry Science Association.

Education:
  • Doctor of Philosophy in Artificial Intelligence (in progress), The University of Georgia, USA.
  • Bachelor of Technology in Computer Science. SRKR Engineering College, India.
Research Interests:
  • Precision agriculture
  • Precision poultry farming  
  • Poultry behavior and welfare 
  • Robotics
  • Computer vision
  • Machine/deep learning
  • Web/mobile Applications