Eric Gilbert

Eric Gilbert's profile picture
gilbert@cc.gatech.edu

Eric Gilbert is the John Derby Evans Associate Professor in the School of Information at the University of Michigan. He also has a courtesy appointment in CSE. Before coming to Michigan, he was on the faculty at Georgia Tech. At Michigan, he runs the comp.social lab, and is affiliated with SMRL, CSMR, MISC, and ESC. Dr. Gilbert is a sociotechnologist, with a research focus on building and studying social media systems. His work has been supported by grants from the SSRC, Rockefeller Foundation, Craig Newmark Philanthropies, Facebook, Samsung, Yahoo!, Google, ARL, DARPA, and NSF.

Dr. Gilbert's work has been recognized with multiple best paper awards, as well as covered by outlets including Wired, NPR, The Washington Post, and The New York Times. He is the recipient of an NSF CAREER award, the Georgia Tech Young Faculty Award, the CSCW Service Award, and the UIUC CS Distinguished Alumni Award. He previously served as a Program Chair and the Steering Committee Chair for ICWSM, and as a General Chair for CSCW; he currently serves as an Editor for CSCW. Prof. Gilbert is an alum of Teach For America (Chicago '02), and holds a BS in Math & CS and a PhD in CS—both from the University of Illinois at Urbana-Champaign.

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

Greg Gibson

Greg Gibson's profile picture
greg.gibson@biology.gatech.edu

Greg Gibson is Professor of Biology and Director of the Center for Integrative Genomics at Georgia Tech. He received his BSc majoring in Genetics from the University of Sydney (Australia) and PhD in Developmental Genetics from the University of Basel. After transitioning to quantitative genetic research as a Helen Hay Whitney post-doctoral fellow at Stanford University, he initiated a program of genomic research as a David and Lucille Packard Foundation Fellow at the University of Michigan. He joined the faculty at Georgia Tech in Fall of 2009, after ten years at North Carolina State University where he developed tools for quantitative gene expression profiling and genetic dissection of development in the fruitfly Drosophila. He is now collaborating with the Center for Health Discovery and Well Being on integrative genomic analyses of the cohort. Dr Gibson is an elected Fellow of the American Association for the Advancement of Science, and serves as Section Editor for Natural Variation for PLoS Genetics. He has authored a prominent text-book, a "Primer of Genome Science" as well as a popular book about genetics and human health, "It Takes a Genome".

Professor
Director, Center for Integrative Genomics
Adjunct Professor, School of Medicine, Emory University
Phone
404-385-2343
Office
EBB 2115A
Additional Research
Quantitative Evolutionary Genetics. After 15 years working on genomic approaches to complex traits in Drosophila, my group has spent much of the past 10 years focusing on human quantitative genetics. We start with the conviction that genotype-by-environment and genotype-by-genotype interactions are important influences at the individual level (even though they are almost impossible to detect at the population level). We use a combination of simulation studies and integrative genomics approaches to study phenomena such as cryptic genetic variation (context-dependent genetic effects) and canalization (evolved robustness) with the main focus currently on disease susceptibility.​ Immuno-Transcriptomics.As one of the early developers of statistical approaches to analysis of gene expression data, we have a long-term interest in applications of transcriptomics in ecology, evolution, and lately disease progression. Since blood is the mostaccessible human tissue, we've examined how variation is distributed within and among populations, across inflammatory and auto-immune states, and asked how it relates to variation in immune cell types. Our axes-of-variation framework provides a new way of monitoring lymphocyte, neutrophil, monocyte and reticulocyte profiles from whole peripheral blood. Most recently we have also been collaborating on numerous studies of specific tissues or purified cell types in relation to such diseases as malaria, inflammatory bowel disease, juvenile arthritis, lupus, and coronary artery disease. Predictive Health Genomics. Personalized genomic medicine can be divided into two domains: precision medicine and predictive health. We have been particularly interested in the latter, asking how environmental exposures and gene expression, metabolomic and microbial metagenomics profiles can be integrated with genomesequencing or genotyping to generate health risk assessments. A future direction is incorporation of electronic health records into genomic analyses of predictive health. Right now it is easier to predict the weather ten years in advance than loss of well-being, but we presume that preventative medicine is a big part of the future of healthcare.​
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

Ada Gavrilovska

Ada Gavrilovska's profile picture
ada@cc.gatech.edu

Ada Gavrilovska is an Associate Professor at the College of Computing and a researcher with the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. Her interests include experimental systems, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book “High Performance Communications: A Vertical Approach” (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a Bachelor's  in Computer Engineering from University Sts. Cyril and Methodius in Macedonia ('98), and a Master's ('99) and Ph.D. ('04) degrees in Computer Science from Georgia Tech.

Senior Research Scientist
Phone
404.894.0387
Additional Research

Cloud Security; Large-Scale or Distributed Systems; Cloud Systems; Virtualizations; Operating Systems

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

Nagi Gebraeel

Nagi Gebraeel's profile picture
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, School of Industrial Systems Engineering
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

Hamid Garmestani

Hamid Garmestani's profile picture
hamid.garmestani@mse.gatech.edu

Hamid Garmestani is a professor in the School of Materials Science and Engineering at the Georgia Institute of Technology. He received his education from Cornell University (Ph.D. 1989 in Theoretical and Applied Mechanics) and the University of Florida (B.S. 1982 in Mechanical Engineering, M.S. 1984 in Materials Science and Engineering). After serving a year as a post-doctoral fellow at Yale University, he joined the Mechanical Engineering Department at Florida State University (FAMU-FSU College of Engineering) in 1990. 

Primary research and teaching interests include microstructure/property relationship in textured polycrystalline materials, composites, superplastic, magnetic and thin film layered structures. He uses phenomenological and statistical mechanics models in a computational framework to investigate microstructure and texture (micro-texture) evolution during processing and predict effective properties (mechanical, transport and magnetic). His present research interests are processing of fuel cell materials and modeling of their transport and mechanical properties.

Garmestani has been the recipient of a research award (FAR) through NASA in  1997. He received the Superstar in  Research award in 1999 by FSU-CRC.  He  has also been the recipient of the Engineering Research Award at the FAMU-FSU College of Engineering, Spring 2000. He is a member of the editorial board of the International Journal of Plasticity and board of reviewers for journal of Metal Transaction.  He is presently funded through NSF (MRD), NASA, Air Force and the Army.

Professor, School of Materials Science and Engineering
Phone
404.385.4495
Office
Love 361
Additional Research

computational mechanics; micro and nanomechanics; Electrical charge storage and transport; Fuel Cells

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

Lu Gan

Lu Gan's profile picture
lgan@gatech.edu

Lu Gan joined the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology as an Assistant Professor in January 2024. She leads the Lu's Navigation and Autonomous Robotics (Lunar) Lab at Georgia Tech, and is on the core faculty of the Institute for Robotics and Intelligent Machines. Her research interests include robot perception, robot learning, and autonomous navigation. Her group explores the use of computer vision, machine learning, estimation, probabilistic inference, kinematics and dynamics to develop autonomous systems in ground, air, and space applications.

She holds a B.S. in Automation from the University of Electronic Science and Technology of China, an M.S. in Control Engineering from Beihang University, and received her M.S. and Ph.D. in Robotics from the University of Michigan, Ann Arbor. Before joining Georgia Tech, she had a two-year appointment as a Postdoctoral Scholar at the Graduate Aerospace Laboratories of the California Institute of Technology and the Center for Autonomous Systems and Technologies at Caltech.

Assistant Professor - School of Aerospace Engineering
Office
Guggenheim 448A
Additional Research

Computer VisionPerception & NavigationRobot AutonomyFlight Mechanics & ControlsHuman-Robot Interaction

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

Victor Fung

Victor Fung's profile picture
victorfung@gatech.edu

Victor Fung is an Assistant Professor in the School of Computational Science and Engineering. Prior to this position, he was a Wigner Fellow and a member of the Nanomaterials Theory Insitute in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. A physical chemist by training, Fung now works at the intersection of scientific artificial intelligence, computing, and materials science/chemistry.

Assistant Professor of Computational Science and Engineering
Office
E1354B | CODA Building, 756 W Peachtree St NW, Atlanta, GA 30308
Additional Research

Quantum chemistrySurrogate models for quantum chemistryData-driven inverse designChemically-informed machine learningHigh-throughput computational simulations

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

Richard Fujimoto

Richard Fujimoto's profile picture
richard.fuijmoto@cc.gatech.edu

Richard Fujimoto is a Regents’ Professor, Emeritus in the School of Computational Science and Engineering at the Georgia Institute of Technology. He received the Ph.D. degree from the University of California-Berkeley in 1983 in Computer Science and Electrical Engineering. He also received an M.S. degree from the same institution as well as two B.S. degrees from the University of Illinois-Urbana. 

Fujimoto is a pioneer in the parallel and distributed discrete event simulation field. Discrete event simulation is widely used in areas such as telecommunications, transportation, manufacturing, and defense, among others. His work developed fundamental understandings of synchronization algorithms that are needed to ensure the correct execution of discrete event simulation programs on high performance computing (HPC) platforms. His team developed many new algorithms and computational techniques to accelerate the execution of discrete event simulations and developed software realizations that impacted several application domains. For example, his Georgia Tech Time Warp software was deployed by MITRE Corp. to create online fast-time simulations of commercial air traffic to help reduce delays in the U.S. National Airspace. An active researcher in this field since 1985, he authored or co-authored three books and hundreds of technical papers including seven that were cited for “best paper” awards or other recognitions. His research included several projects with Georgia Tech faculty in telecommunications, transportation, sustainability, and materials leading to numerous publications co-authored with faculty across campus.

Regents' Professor Emeritus
Phone
404.894.5615
Office
Coda Building, 1313
Additional Research

discrete-event simulation programs on parallel and distributed computing platforms

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

Steven French

Steven French's profile picture
steven.french@design.gatech.edu

Steven French is Senior Vice President and Chief Information Officer at Veracyte.. He brings more than 20 years of information and operational leadership experience in the life sciences and technology industries to his role at Veracyte. 

Prior to joining Veracyte in July 2022, Mr. French most recently served as President of a consultancy advising leading biotech companies on information technology strategy, cybersecurity, acquisitions and infrastructure integration, and business operations. He previously served as Chief Information Officer at Celularity, a clinical-stage biotechnology company. Prior to that, Mr. French was Vice President of Technology Development at Human Longevity, Inc., a San Diego-based venture focused on building a comprehensive database of human genotypes and phenotypes, where he developed and implemented the infrastructure for key data management strategies. Earlier, Mr. French was Co-Founder and Vice President of Strategy and Technology at Epic Sciences, a diagnostics company focused on advancing the treatment and management of cancer, where he established key strategies for information technology, software development, and quality systems. 

Mr. French holds a B.B.A. and an M.B.A from the University of San Diego.

Dean and John Portman Chair, College of Design
IRI/Group and Role
Data Engineering and Science > Faculty
Data Engineering and Science

Steve French

Steve French's profile picture
steve.french@coa.gatech.edu

Steven P. French is professor of City and Regional Planning at Georgia Institute of Technology. He joined Georgia Tech in 1992 as the director of the City Planning program and served in that position until August 1999. He was the director of the Center for Geographic Information Systems from 1997 through 2011. He served as associate dean for research for the College of Architecture (now the College of Design) from July 2009 through June 2013 and dean of the College of Design from July 2013-June 2021.

French’s teaching and research activities focus on sustainable urban development, land use planning, GIS applications, and natural hazard risk assessment. In addition to his administrative assignments, Professor French has regularly taught graduate courses in land use, planning, and GIS. He has graduated six Ph.D. students and advised more than 50 Masters students in City and Regional Planning. He has also served on numerous dissertation committees in Architecture, Civil Engineering, and Public Policy.

Over the past twenty-five years, French has been the principal investigator or co-principal investigator on more than seventy research projects. He has participated in a number of National Science Foundation projects dealing with flood and earthquake hazards and was the Social Science Thrust Leader for the Mid-America Earthquake Center, an NSF Engineering Research Center. He has extensive experience in building and managing multidisciplinary teams of social scientists, architects, engineers, and scientists. French is the author or co-author of more than 25 refereed journal articles and four books. He has served on the editorial boards of the Journal of the American Planning Association, Journal of Planning Education and Research, Journal of the Urban and Regional Information Systems Association and Earthquake Spectra.

French holds a Ph.D. in City and Regional Planning from the University of North Carolina at Chapel Hill. Before coming to Georgia Tech, he taught for ten years at California Polytechnic State University-San Luis Obispo. In 1987-88, he served as the visiting professor of resources planning in the Civil Engineering Department at Stanford University. He is a Fellow of the American Institute of Certified Planners and an associate member of the American Institute of Architects.

Professor
John Portman Dean's Chair
Phone
404.894.3880
Office
245 Fourth Street, N.W.
IRI/Group and Role
Manufacturing > Affiliated Faculty
Sustainable Systems
Manufacturing
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Design > School of City and Regional Planning
Research Areas
Sustainable Systems
  • Sustainable Cities and Infrastructure
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