Jay Forrest

Jay Forrest's profile picture
jay.forrest@library.gatech.edu

Jay Forrest is the Assistant Dean for Content Strategy & Development and the Content Management Group Chair. While maintaining effective stewardship of the collection’s budgets, Jay leads efforts to ensure that Library Collections align with Georgia Tech's research, teaching, and learning priorities and meet an evolving and growing university's needs, with diverse viewpoints, interests, abilities, and perspectives. 

His service and scholarship focus on collaborative preservation of the print scholarly record and on analytical techniques to evaluate and improve library effectiveness. 

Jay earned his A.B. from Duke University (Women's Studies|Comparative Area Studies), and holds master's degrees from Georgia State (Geography), Georgia Tech (City and Regional Planning; History and Sociology of Technology and Science), Florida State (Information Studies), and Kennesaw State (Software Engineering). His recent presentations include "Services for Shared Print Collections" (2018) and " Preserving Assets, Maximizing Investments: A Collaborative Model in Process-Focused Facility Design" (2016).

Data & Statistical Analysis Manager, Library
IRI/Group and Role
Data Engineering and Science > Research Community
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Flavio Fenton

Flavio Fenton's profile picture
flavio.fenton@physics.gatech.edu

My work is on excitable media, complex systems, and pattern formation, using a combined approach of theory, experiments, and computer simulations.

Interested in: Complex Systems, Experimental physiology, Biophysics, High performance computing and GPU.

Professor
Phone
516-672-6003
Office
Howey N05
Additional Research
  • Bioinformatics
  • High Performance Computing
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Physics

Kaye Husbands Fealing

Kaye Husbands Fealing's profile picture
khf@pubpolicy.gatech.edu

Kaye Husbands Fealing is the Assistant Director of the Social, Behavioral and Economic Sciences at the National Science Foundation (NSF) and co-chair of the Subcommittee on Social and Behavioral Sciences of the Committee on Science of the National Science & Technology Council (NSTC). She is the former Dean of the Ivan Allen College of Liberal Arts at the Georgia Institute of Technology and a former Chair of the School of Public Policy Georgia Tech, where she currently holds the title professor. She specializes in science of science and innovation policy, the public value of research expenditures, and broadening participation in STEM fields and the workforce.

Prior to her positions at Georgia Tech, Husbands Fealing taught at the Humphrey School of Public Affairs, University of Minnesota, and she was a study director at the National Academy of Sciences. Prior to the Humphrey School, she was the William Brough professor of economics at Williams College, where she began her teaching career in 1989. She developed and was the inaugural program director for NSF's Science of Science and Innovation Policy program and co-chaired the Science of Science Policy Interagency Task Group, chartered by the Social, Behavioral and Economic Sciences Subcommittee of the NSTC. At NSF, she also served as an Economics Program director. Husbands Fealing was a visiting scholar at Massachusetts Institute of Technology’s Center for Technology Policy and Industrial Development, where she conducted research on NAFTA’s impact on the Mexican and Canadian automotive industries, and research on strategic alliances between aircraft contractors and their subcontractors.

Husbands Fealing is an elected member of the American Academy of Arts and Sciences, is an Elected Fellow of the National Academy of Public Administration, an Elected Fellow of the American Association for the Advancement of Science (AAAS). She was awarded the 2023 Carolyn Shaw Bell Award from the American Economic Association's Committee on the Status of Women in the Economics Profession, and the 2017 Trailblazer Award from the National Medical Association Council on Concerns of Women Physicians. She is a member of the International Women’s Forum-Georgia Chapter, and member of the YWCA's Academy of Women Achievers. She serves as a member on AAAS' Executive Board, the National Academy of Public Administration's board, the trustee board for the R. Howard Dobbs Jr. Foundation, and the Society for Economic Measurement's board. She has served on several committees and panels, including: AAAS committees; National Academies’ panels; Council of Canadian Academies panels; American Academy of Arts and Sciences working groups; NSF’s Social, Behavioral, and Economic Sciences Advisory Committee, STEM Education Advisory Committee, and the Committee on Equal Opportunities in Science and Engineering; NIH’s National Institute of General Medical Sciences Council; General Accountability Office’s Science, Technology Assessment, and Analytics Polaris Council; and American Economic Association’s Committee on the Status of Women in the Economic Profession. At Georgia Tech, she co-chaired the Arts@Tech Institute Strategic Planning committee, and she has served on the Institute for Data Engineering and Science Council, the Intellectual Property Advisory Board, and other committees.

Husbands Fealing holds a Ph.D. in economics from Harvard University, and a B.A. in mathematics and economics from the University of Pennsylvania.

Professor, School of Public Policy
Assistant Director of the Social, Behavioral and Economic Sciences at the National Science Foundation (NSF)
Office
Savant 171
Additional Research
  • Data Policy
  • Public Policy
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

Yuhong Fan

Yuhong Fan's profile picture
yuhong.fan@biology.gatech.edu
Associate Professor
Georgia Research Alliance Distinguished Scholar
Phone
404-385-1312
Office
Petit Biotechnology Building, Office 2313
Additional Research
  • Bioinformatics
  • Chromatin
  • Epigenetics,  Epigenomics & Epidrugs
  • Gene Expression
  • Stem Cell Biology
  • Stem Cell Differentiation
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Biological Sciences

Irfan Essa

Irfan Essa's profile picture
irfan@cc.gatech.edu

Irfan Essa is a Professor in the School of Interactive Computing and Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology. Professor Essa works in the areas of Computer Vision, Artificial Intelligence, Machine Learning, Robotics, Computer Graphics, and Social Computing, with potential impact on Content Creation, Analysis and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research.He has published over 150 scholarly articles in leading journals and conference venues on these topics and several of his papers have also won best paper awards. He has been awarded the National Science Foundation CAREER Award and was elected an IEEE Fellow. He has held extended research consulting positions with Disney Research and Google Research and also was an Adjunct Faculty Member at Carnegie Mellon's Robotics Institute. He joined Georgia Tech in 1996 after his earning his Master's (1990), Ph.D. (1994), and holding a research faculty position at the Massachusetts Institute of Technology Media Lab (1988-1996).

Senior Associate Dean; College of Computing
Professor; School of Interactive Computing
Phone
404.894.6856
Additional Research

Healthcare Security; Machine Learning; Mobile & Wireless Communications; Computer Vision and Robotics; Computer Graphics and Animation; Computational Photography and Video; Intelligent and Aware Environments; Digital Special Effects; Computational Journalism; Social Computing

IRI/Group and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Robotics > Core Faculty
Data Engineering and Science
People and Technology
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Research Areas
Artificial Intelligence

Alex Endert

Alex Endert's profile picture
endert@gatech.edu

Alex Endert is an Associate Professor in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, where he works with his students to design and study how interactive visual tools help people make sense of data and AI. His lab often tests these advances in domains, including intelligence analysis, cyber security, decision-making, manufacturing safety, and others. His lab receives generous support from sponsors, including NSF, DOD, DHS, DARPA, DOE, and industry. In 2018, he received a CAREER award from the National Science Foundation for his work on visual analytics by demonstration. He received his Ph.D. in Computer Science from Virginia Tech in 2012. In 2013, his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award.

Assistant Professor
Phone
404-385-4477
Additional Research

Visual Analytics

IRI/Group and Role
Data Engineering and Science > Faculty
People and Technology > Affiliated Faculty
Data Engineering and Science
People and Technology
University, College, and School/Department
Georgia Institute of Technology > College of Computing
Research Areas
Artificial Intelligence

Greg Eisenhauer

Greg Eisenhauer's profile picture
eisen@cc.gatech.edu
Greg Eisenhauer is a research scientist in the College of Computing at the Georgia Institute of Technology and Technical Director of the Center for Experimental Research in Computer Systems. His research focuses on data-intensive distributed applications in enterprise and high-performance systems. Technical topics of interest include: high-performance I/O for petascale machines; efficient methods for managing large-scale systems, techniques for runtime performance and behavior monitoring, understanding and control; middleware for high-performance data movement and in transit data processing, QoS-sensitive data streaming in pervasive and wide-area systems, and experimentation with representative applications in the high-performance computing and enterprise domains. He received the Bachelor's of Computer Science (1983) and a Master's of Computer Science (1985) from the University of Illinois, Urbana-Champaign. He received his Ph.D. from the Georgia Institute of Technology in 1998. His thesis work demonstrated object-based methods for efficient program monitoring and steering of distributed and parallel programs using event-based monitoring techniques and code annotations.
Senior Research Scientist
Phone
404.894.3227
Additional Research
Large-Scale or Distributed Systems; Software & Applications
IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science

Eva Dyer

Eva Dyer's profile picture
evadyer@gatech.edu

Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.

Assistant Professor
Phone
404-894-4738
Office
UAW 3108
Additional Research

Eva Dyer’s research combines machine learning and neuroscience to understand the brain, its function, and how neural circuits are shaped by disease. Her lab, the Neural Data Science (NerDS) Lab, develops new tools and frameworks for interpreting complex neuroscience datasets and building machine intelligence architectures inspired by the brain. Through a synergistic combination of methods and insights from both fields, Dr. Dyer aims to advance the understanding of neural computation and develop new abstractions of biological organization and function that can be used to create more flexible AI systems.

IRI/Group and Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Coulter Department of Biomedical Engineering
Research Areas
Artificial Intelligence

Aaron Drysdale

Aaron Drysdale's profile picture
adrysdale3@gatech.edu

Aaron Drysdale, a Master of Computer Science graduate from Georgia Tech, is the Chief Technologist at the Cloud Hub. He manages the proposal process for research grants, organizes industry training sessions, and provides direct technical support to research teams utilizing cloud resources. Aaron's role also involves collaborating with Microsoft’s technical teams to resolve complex issues, ensuring seamless and efficient research progress. His expertise and proactive approach are vital to the success of the Cloud Hub's mission to advance innovative research.

Chief Technologist - CloudHub @ GT
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology
Research Areas
Artificial Intelligence

Audrey Duarte

 Audrey Duarte's profile picture
audrey.duarte@psych.gatech.edu

Dr. Duarte is excited to join the Department of Psychology at U.T. Austin starting in Fall, 2021 after 13 years as a professor at The Georgia Institute of Technology. Dr. Duarte received her Ph.D. in Neurobiology from U.C. Berkeley in 2004 and conducted her postdoctoral work in cognitive neuroscience at the Medical Research Council in Cambridge, UK. Dr. Duarte is a cognitive neuroscientist who uses multiple, complementary neuroscience methods including electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and neuropsychological methods (i.e. neurological patients), to understand the neural mechanisms of age-related changes in episodic memory, which is memory for personally experienced events. The major aim of her research program is to understand the neural changes that underlie age-related decline in episodic memory, why some people age better, from a neural and cognitive perspective, than others, and to develop and implement effective interventions to alleviate this decline. She has longstanding and active interdisciplinary collaborations with neurologists, neuropsychologists, and sleep disorder clinicians, and with mechanical engineers, to investigate experimental manipulations that may ameliorate episodic memory impairments in people with Alzheimer’s disease pathology, and to explore sleep-related biomarkers of Alzheimer’s pathology. She has a particular interest in the cognitive neuroscience of aging in racial/ethnic minorities and the psychosocial factors like race-related stress, depression, and acculturation that influence memory and underlying brain function in diverse populations. Her lab's work has been featured in the Huffington PostScience Daily, and Ozy

Associate Professor
IRI/Group and Role
Data Engineering and Science > Research Community
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology
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