Chris Gu

Chris Gu
ngu30@gatech.edu

Chris Gu is an Assistant Professor of Marketing in the Scheller College of Business at Georgia Institute of Technology. His research focuses on the quantitative study of the behaviors of individuals and organizations under various types of information constraints and economic structures, with the goal of improving their well-being. His current work focuses on understanding how consumers search for products under partially revealed information, how consumers adopt sustainable technologies under the influence of government policies, how companies decide about internal technology adoption and upgrade, and how social network connections influence individual crowdsourcing behaviors. He is an AMS Mary Kay Foundation Doctoral Dissertation Competition Finalist, and his research has received the ISMS Doctoral Dissertation Award.

Assistant Professor
Additional Research

Business Analytics

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

Nancey Green Leigh

Nancey Green Leigh
ngleigh@design.gatech.edu

Nancey Green Leigh is a Professor in the School of City and Regional Planning and adviser for the economic development planning, working with masters and doctoral students. Maintaining an active research program, Leigh is currently leading a project entitled "Workers, Firms and Industries in Robotic Regions," funded by the National Science Foundation's Robotics Initiative. She previously led a large scale research effort by three universities focused on sustainable industrial systems for urban regions. Both of these efforts as well as other funded research (brownfields, urban land and manufacturing, resilient infrastructure) contribute to Leigh's long term focus on advancing sustainable development for local and regional economies. As Associate Dean for Research, Leigh is focused on strengthening the research impact of the College of Design. She develops and administers competitive initiatives to support individual and collaborative research by college faculty and affiliated researchers. She oversees the college's seven major research units. She also is engaged in building research connections within Georgia Tech between the College of Design, other colleges and Interdisciplinary Research Institutes, as well as to external funders and collaborators in the public, private and nonprofit sectors. Leigh has published more than 60 articles and four books, Routledge Handbook of International Planning Education (2019 with S.P. French, S. Guhathakurta, and B. Stiftel), Planning Local Economic Development, 6th edition (2017 with E.J. Blakely) adopted for courses in a wide array of universities; Economic Revitalization: Cases and Strategies for City and Suburb (2002 with J. Fitzgerald); and Stemming Middle Class Decline: The Challenge to Economic Development Planning (1994). She was co-editor of the Journal of Planning Education and Research from 2012 to 2016, and was elected a Fellow of the American Institute of Certified Planners in 2008.

Professor; School of City & Regional Planning
Associate Dean for Research; College of Design
Phone
404.894.9839
Office
Architecture-East Building, 209
Additional Research

economic development; robots & AI impact on workers; firms & regions; City and Regional Planning; System Design & Optimization; Design Sciences

IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Robotics > Core Faculty
Energy > Research Community
Data Engineering and Science
Robotics
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Design
Research Areas
Artificial Intelligence
Energy
  • Energy Economics, Policy, and Public Health
  • Sustainable Communities

Nagi Gebraeel

Nagi Gebraeel
nagi.gebraeel@isye.gatech.edu

Professor Nagi Gebraeel is the Georgia Power Early Career Professor and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his MS and PhD from Purdue University in 1998 and 2003, respectively.

Dr. Gebraeel's research interests lie at the intersection of Predictive Analytics and Machine Learning in IoT enabled maintenance, repair and operations (MRO) and service logistics. His key focus is on developing fundamental statistical learning algorithms specifically tailored for real-time equipment diagnostics and prognostics, and optimization models for subsequent operational and logistical decision-making in IoT ecosystems. Dr. Gebraeel also develops cyber-security algorithms intended to protect IoT-enabled critical assets from ICS-type cyberattacks (cyberattacks that target Industrial Control Systems). From the standpoint of application domains, Dr. Gebraeel has general interests in manufacturing, power generation, and service-type industries. Applications in Deep Space missions are a recent addition to his research interests, specifically, developing Self-Aware Deep Space Habitats through NASA's HOME Space Technology Research Institute.

Dr. Gebraeel leads Predictive Analytics and Intelligent Systems (PAIS) research group at Georgia Tech's Supply Chain and Logistics Institute. He also directs activities and testing at the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute. Formerly, Dr. Gebraeel served as an associate director at Georgia Tech's Strategic Energy Institute (from 2014 until 2019) where he was responsible for identifying and promoting research initiatives and thought-leadership at the intersection of Data Science and Energy applications. He was also the former president of the Institute of Industrial and Systems Engineers (IISE) Quality and Reliability Engineering Division, and is currently a member of the Institute for Operations Research and the Management Sciences (INFORMS), and IISE (since 2005).

Georgia Power Associate Professor
Phone
404.894.0054
Office
Groseclose Building, Room 327
Additional Research
  • Data Mining
  • IoT
  • Sensor-based Prognostics & Degradation Modeling
  • Reliability Engineering
  • Service Logistics
  • System Design & Optimization
  • Cyber/ Information Technology
IRI/Group and Role
Manufacturing > Affiliated Faculty
Data Engineering and Science > Affiliated Faculty
Energy > Research Community
Manufacturing
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Research Areas
Artificial Intelligence
Energy
  • Advanced Manufacturing for Energy
  • Energy Systems, Grid Resilience, and Cybersecurity
  • Supply Chain

Flavio Fenton

Flavio Fenton
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
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

Greg Eisenhauer

Greg Eisenhauer
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

Jon Duke

Jon Duke
jon.duke@gatech.edu

Dr. Duke has led over $21 million in funded research for industry, government, and foundation partners. Dr. Duke’s research focuses on advancing techniques for identifying patients of interest from diverse data sources with applications spanning research, quality, and clinical domains. He led the Merck-Regenstrief Partnership in Healthcare Innovation and was a founding member of OHDSI, an open-source international health data analytics collaborative. In addition to numerous peer-reviewed publications, his work has been featured in the lay media including the New York Times, NPR, and MSNBC. Dr. Duke completed his medical degree at Harvard Medical School and a master's in human-computer interaction at Indiana University.

Principal Research Scientist
Additional Research

Health Information Technology; Bioinformatics

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

Constantine Dovrolis

Constantine Dovrolis
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
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

Chaitanya Deo

Chaitanya Deo
chaitanya.deo@nre.gatech.edu

Dr. Deo came to Georgia Tech in August 2007 as an Assistant Professor of Nuclear and Radiological Engineering. Prior, he was a postdoctoral research associate in the Materials Science and Technology Division of the Los Alamos National Laboratory. He studied radiation effects in structural materials (iron and ferritic steels) and nuclear fuels (uranium dioxide). He also obtained research experience at Princeton University (Mechanical Engineering), Lawrence Livermore National Laboratory, and Sandia National Laboratories.

Professor
Phone
(404) 385.4928
Additional Research

Nuclear; Thermal Systems; Materials In Extreme Environments; computational mechanics; Materials Failure and Reliability; Ferroelectronic Materials; Materials Data Sciences

IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Energy > Research Community
Data Engineering and Science
Matter and Systems > Affiliated Faculty
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering
Research Areas
Artificial Intelligence
Energy
  • Nuclear