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

Constantine Dovrolis

Constantine Dovrolis's profile picture
constantine@gatech.edu
For more than a decade, Constantine Dovrolis has been exploring the evolution of our interconnected world. Dovrolis serves as a Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology and is an affiliate of the Institute for Information Security & Privacy. He received his Bachelor's of Computer Engineering from the Technical University of Crete in 1995; Master’s degree from the University of Rochester in 1996, and his Doctoral degree from the University of Wisconsin-Madison in 2000.  Prior to joining Georgia Tech in August 2002, Dovrolis held visiting positions at Thomson Research in Paris, Simula Research in Oslo, and FORTH in Crete. His current research focuses on the evolution of the Internet, Internet economics, and on applications of network measurement.  He also is interested in cross-disciplinary applications of network science as it relates to biology, clIMaTe science and neuroscience. Dovrolis has served as an editor for the IEEE/ACM’s Transactions on Networking, the ACM Communications Review, and he served as the program co-chair for PAM'05, IMC'07, CoNEXT'11, and as the general chair for HotNets'07.  He was honored with the National Science Foundation CAREER Award in 2003.                                                   
Professor
Phone
404-385-4205
Office
Klaus 3346
Additional Research
Data Mining & Analytics; IT Economics; Internet Infrastructure & Operating Systems Network science is an emerging discipline focusing on the analysis and design of complex systems that can be modeled as networks. During the last decade or so network science has attracted physicists, mathematicians, biologists, neuroscientists, engineers, and of course computer scientists. I believe that this area has the potential to create major scientific breakthroughs, especially because it is highly interdisciplinary. We have applied network science methods to investigate the "hourglass effect" in developmental biology. The developmental hourglass' describes a pattern of increasing morphological divergence towards earlier and later embryonic development, separated by a period of significant conservation across distant species (the "phylotypic stage''). Recent studies have found evidence in support of the hourglass effect at the genomic level. For instance, the phylotypic stage expresses the oldest and most conserved transcriptomes. However, the regulatory mechanism that causes the hourglass pattern remains an open question. We have used an evolutionary model of regulatory gene interactions during development to identify the conditions under which the hourglass effect can emerge in a general setting. The model focuses on the hierarchical gene regulatory network that controls the developmental process, and on the evolution of a population under random perturbations in the structure of that network. The model predicts, under fairly general assumptions, the emergence of an hourglass pattern in the structure of a temporal representation of the underlying gene regulatory network. The evolutionary age of the corresponding genes also follows an hourglass pattern, with the oldest genes concentrated at the hourglass waist. The key behind the hourglass effect is that developmental regulators should have an increasingly specific function as development progresses. Analysis of developmental gene expression profiles from Drosophila melanogaster and Arabidopsis thaliana provide consistent results with our theoretical predictions. We are currently working on the inference and analysis of functional and brain networks. More information about this project will be posted soon.
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 Computing > School of Computer Science

Robert Dickson

Robert Dickson's profile picture
robert.dickson@chemistry.gatech.edu

Dr. Dickson is the Vassar Woolley Professor of Chemistry & Biochemistry and has been at Georgia Tech since 1998. He was a Senior Editor of The Journal of Physical Chemistry from 2010-2021, and his research has been continuously funded (primarily from NIH) since 2000. Dr. Dickson has developed quantitative bio imaging and signal recovery/modulation schemes for improved imaging of biological processes and detection of medical pathologies. His work on fluorescent molecule development and photoswitching of green fluorescent proteins was recognized as a key paper for W.E. Moerner’s 2014 Nobel Prize in Chemistry. Recently, Dr. Dickson’s lab has developed rapid susceptibility testing of bacteria causing blood stream infections. Their rapid recovery methods, coupled with rigorous multidimensional statistics and machine learning have led to very simple, highly accurate and fast methods for determining the appropriate treatment within a few hours after positive blood cultures. These hold significant potential for drastically improving patient outcomes and reducing the proliferation of antimicrobial resistance.

Professor
Phone
404-894-4007
Office
MoSE G209A
Additional Research
Dr. Dickson's group is developing novel spectroscopic, statistical, and imagingtechnologies for the study of dynamics in biology and medicine.
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 Chemistry & Biochemistry
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