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 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 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

Santanu Dey

Santanu Dey
santanu.dey@isye.gatech.edu

Santanu S. Dey is A. Russell Chandler III Professor and associate chair of graduate studies in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Dey holds a Ph.D. in Industrial Engineering from Purdue University. Prior to joining Georgia Tech, he worked as a post-doctoral fellow at the Center for Operations Research and Econometrics (CORE) of the Catholic University of Louvain in Belgium. 

Dr. Dey's research interests are in the area of non convex optimization, and in particular mixed integer linear and nonlinear programming. His research is partly motivated by applications of non convex optimization arising in areas such as electrical power engineering, process engineering, civil engineering, logistics, and statistics. Dr. Dey has served as the vice chair for Integer Programming for INFORMS Optimization Society (2011-2013) and has served on the program committees of Mixed Integer Programming Workshop 2013 and Integer Programming and Combinatorial Optimization 2017, 2020. He currently serves on the editorial board of Computational Optimization and Applications, MOS-SIAM book series on Optimization, is an associate editor for Mathematics of Operations Research, Mathematical Programming A, and SIAM Journal on Optimization. He has been as associate editor for INFORMS Journal on Computing and an area editor for Mathematical Programming C.

Russell Chandler III Professor
Phone
(404) 385-7483
Office
Groseclose, 443
Additional Research
Mixed Integer Linear Programming, Mixed Integer Nonlinear Programming, Global Optimization, Energy Systems, Optimization in Engineering
IRI and Role
Data Engineering and Science > Research Community
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology

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 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
Matter and Systems
  • Built Environment Technologies
  • Computing and Communication Technologies

Yi Deng

Yi Deng
yi.deng@eas.gatech.edu
Professor
BBISS Co-lead: Microclimate Monitoring and Prediction
Phone
404-385-1821
Office
ES&T 3248
Additional Research
Hydroclimate variability at regional scalesPolar-tropical interactionFeedbacks of ENSO and Annular ModesProbabilistic graphical models and climate networks
IRI and Role
Sustainable Systems > Initiative Lead
Data Engineering and Science > Faculty
Sustainable Systems
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Earth and Atmospheric Sciences
Research Areas
Sustainable Systems
  • Climate Science, Solutions, and Policy

Rich DeMillo

Rich DeMillo
rad@gatech.edu

Richard DeMillo is the Charlotte B. and Roger C. Warren Professor of Computing at Georgia Tech. He was formerly the John P. Imlay Dean of Computing. Positions he has held prior to joining Georgia Tech include: Chief Technology Officer for Hewlett-Packard, Vice President of Computing Research for Bell Communications Research, Director of the Computer Research Division for the National Science Foundation, and Director of the Software Test and Evaluation Project for the Office of the US Secretary of Defense. He has also held faculty positions at the University of Wisconsin, Purdue University and the University of Padua, Italy. His research includes over 100 articles, books and patents in algorithms, software and computer engineering, cryptography, and cyber security. In 1982, he wrote the first policy for testing software intensive systems for the US Department of Defense. DeMillo and his collaborators launched and developed the field of program mutation for software testing. He is a co-inventor of Differential Fault Cryptanalysis and holds what is believed to be the only patent on breaking public key cryptosystems. He currently works in the area of election and voting system security. His work has been cited in court cases, including a 2019 Federal Court decision declaring unconstitutional the use of paperless voting machines. He has served as a foreign election observer for the Carter Center and is a member of the State of Michigan Election Security Commission. He has served on boards of public and private cybersecurity and privacy companies, including RSA Security and SecureWorks. He has served on many non-profit and philanthropic boards including the Exploratorium and the Campus Community Partnership Foundation (formerly the Rosalind and Jimmy Carter Foundation). He is a fellow of both the Association for Computing Machinery and the American Association for the Advancement of Science. In 2010, he founded the Center for 21st Century Universities, Georgia Tech’s living laboratory for fundamental change in higher education. He served as Executive Director for ten years. He was named Lumina Foundation Fellow for his work in higher education. His 2015 book Revolution in Higher Education, published by MIT Press, won the Best Education Book award from the American Association of Publishers and helped spark a national conversation about online education.  He co-chaired Georgia Tech’s Commission on Creating the Next in Education.  The Commission’s report was released in 2018. He received the ANAK Society’s Outstanding Faculty Member Award.

Professor
Phone
404-385-4273
Office
CODA 0962B
Additional Research
Algorithms; Computer Engineering; Architecture & Design; Data Security & Privacy; Encryption; Network Security; Software & Applications
IRI and Role
Data Engineering and Science > Research Community
People and Technology > Affiliated Faculty
Data Engineering and Science
People and Technology
University, College, and School/Department
Georgia Institute of Technology > College of Computing

Munmun De Choudhury

Munmun De Choudhury
mchoudhu@cc.gatech.edu

Munmun De Choudhury is currently an associate professor at the School of Interactive Computing, Georgia Tech. Munmun’s research interests are in computational social science, with a focus on reasoning about personal and societal well-being from social digital footprints.

Assistant Professor
Phone
404-385-8603
Additional Research

Social Media; Social Computing; Computational Social Science; Mental Health; Natural Language

IRI 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

Bo Dai

Bo Dai
bodai@cc.gatech.edu

Bo Dai is a tenure-track assistant professor at Georgia Tech's School of Computational Science and Engineering. Prior to joining academia, he worked as a Staff Research Scientist at Google Brain. Bo Dai completed his Ph.D. in the School of Computational Science and Engineering at Georgia Tech, where he worked from 2013 to 2018 with Professor Le Song. His research focuses on developing principled and practical machine learning techniques for real-world applications. Bo Dai has received numerous awards for his work, including the best paper award at AISTATS 2016. He regularly serves as a (senior) area chair at major AI/ML conferences, such as ICML, NeurIPS, AISTATS, and ICLR.

Assistant Professor
Office
CODA E1342A, 756 W Peachtree St NW, Atlanta, GA 30308
Additional Research

Reinforcement Learning Data-Driven Decision Making Embodied AI

IRI 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 Computational Science and Engineering

John Eric Coulter

John Eric Coulter
j.eric@gatech.edu

Eric joined PACE in 2021, and currently leads the Research Computing Facilitation team, after having worked as a Cyberinfrastructure Architect and RCF. Before joining PACE, Eric could be found at Indiana University as a systems engineer with the XSEDE Campus Bridging team, providing HPC-oriented consultations to institutions across the US. He also worked closely with the Cyberinfrastructure Research Center at IU, providing support for several different science gateway projects. Prior to that, his research in condensed matter physics at Florida State University involved computational studies of the optical properties of strongly correlated materials.

Research Scientist | Partnership for an Advanced Computing Environment
IRI and Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology