Constantine Dovrolis

Constantine Dovrolis

Constantine Dovrolis

Professor
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.                                                   

constantine@gatech.edu

404-385-4205

Office Location:
Klaus 3346

Website

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    Research Focus Areas:
    • Neuroscience
    • Systems Biology
    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.

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    Robert Dickson

    Robert Dickson

    Robert Dickson

    Professor

    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.

    robert.dickson@chemistry.gatech.edu

    404-894-4007

    Office Location:
    MoSE G209A

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    Dr. Dickson's group is developing novel spectroscopic, statistical, and imagingtechnologies for the study of dynamics in biology and medicine.

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    Flavio Fenton

    Flavio Fenton

    Flavio Fenton

    Professor

    flavio.fenton@physics.gatech.edu

    516-672-6003

    Office Location:
    Howey N05

    Website

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    University, College, and School/Department
    Research Focus Areas:
    • High Performance Computing
    Additional Research:
    High performance computing: ·Development and implementation of novel algorithms to solve partial differential equations in two- and three-dimensional regular and irregular domains. ·Computer modeling of complex systems using supercomputers, as well as graphics cards (GPUs). ·Simulations and large data visualization of complex systems in or near-real time locally or over the web. Experiments in complex systems: ·Cardiac dynamics.Study the voltage and calcium dynamics of cardiac tissue using heart sections or whole hearts from fish and mice to large mamals horses. Using voltage- and calcium-sensitive dyes and ultrafast cameras, we record the dynamics of voltage and calcium waves and study their instabilities associated with arrhythmias. ·Dynamics of spiral and scroll waves. ·Mechanisms of bifurcation and period-doublings in time and in space. ·Methods for chaos control and synchronization. ·Chemical, physical, and other biophysical oscillators with complex dynamics and instabilities. Examples: spiral and scroll waves in the Belousov–Zhabotinsky reaction, saline oscillator. Mathematical modeling of complex systems: ·Development and analysis of mathematical models that describe generic or detailed dynamics of excitable and oscillatory media (heart, neurons, chemical reactions, calcium signaling, physical and biological oscillators, etc.). ·Study of bifurcations and chaotic (organized and disorganized) dynamics of excitable and oscillatory systems. ·Develop and apply control methods for suppressing or synchronizing complex dynamics. ·Study of stability and instabilities of spiral waves and three-dimensional scroll waves in idealized and realistic domains of excitable media. In most projects there is crossover between theory, simulations and experiments, where experiments (simulations) are used to guide theory and simulations (experiments).

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    Omar Asensio

    Omar Asensio

    Omar Asensio

    Associate Professor

    Dr. Omar I. Asensio is an Assistant Professor in the School of Public Policy at the Georgia Institute of Technology. His research focuses on the intersection of big data and public policy, with applications to energy systems and consumer behavior, smart cities, and machine learning in transportation and electric mobility. He directs the Data Science and Policy Lab at Georgia Tech, where he collaborates with the private sector and city governments on data innovations in policy analysis and research evaluation. He is a faculty affiliate at the Institute for Data Engineering and Science (IDEaS), the Machine Learning Center, and the Strategic Energy Institute. Dr. Asensio’s research has been published in leading journals such as Nature Energy, Nature Sustainability, and PNAS. His work uses statistical and computational tools to advance our understanding of how large-scale civic data and experiments can be used to increase participation in civic processes, while addressing resource conservation and environmental sustainability. Dr. Asensio’s research also has been featured in policy advisory communications by the European Commission, NSF Public Affairs, the World Bank, and national governments — including the U.K., and the IndiaAI initiative.

    Dr. Asensio is a member of the New Voices 2021-2023 cohort of the National Academies of Sciences, Engineering and Medicine. He is a recipient of the National Science Foundation CAREER award, the Association for Public Policy Analysis and Management (APPAM) 40-for-40 fellowship, and the ONE-NBS Research Impact on Practice award by the Organizations and the Natural Environment (ONE) Division of the Academy of Management. Dr. Asensio serves as Associate Editor of Data and Policy journal published by Cambridge University Press. He holds a doctorate in environmental science and engineering from UCLA with field specialties in economics. He is a faculty participant in the Research University Alliance (RUA) Research Exchange and is engaged in multiple activities to increase the representation of women and under-represented students and professionals in STEM fields. 

    asensio@pubpolicy.gatech.edu

    Website

  • Data Science and Policy Lab
  • Research Focus Areas:
    • Energy Infrastructure
    • Energy Utilization and Conservation
    • Policy & Economics
    Additional Research:

    Cyber/ Information Technology; Strategic Planning; Building Technologies; Electric Vehicles; Policy/Economics; Public Policy; Energy Efficiency and Conservation


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    Thomas Conte

    Thomas Conte

    Thomas Conte

    Professor

    Tom Conte holds a joint appointment in the Schools of Electrical & Computer Engineering and Computer Science at the Georgia Institute of Technology. He is the founding director of the Center for Research into Novel Computing Hierarchies (CRNCH). His research is in the areas of computer architecture and compiler optimization, with emphasis on manycore architectures, microprocessor architectures, back-end compiler code generation, architectural performance evaluation and embedded computer system architectures.

    conte@gatech.edu

    (404) 385-7657

    Office Location:
    Klaus 2334

    Website

  • CRNCH Lab Page
  • Research Focus Areas:
    • Algorithms & Optimizations
    • High Performance Computing
    Additional Research:

    Computer Architecture; Compiler Optimization


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    Edmond Chow

     Edmond Chow

    Edmond Chow

    Professor, School of Computational Science and Engineering

    Edmond Chow is a Professor in the School of Computational Science in the College of Computing. He previously held positions at D. E. Shaw Research and Lawrence Livermore National Laboratory. His research is in developing and applying numerical methods and high-performance computing to solve large-scale scientific computing problems and seeks to enable scientists and engineers to solve larger problems more efficiently using physical simulation. Specific interests include numerical linear algebra (preconditioning, multilevel methods, sparse matrix computations) and parallel methods for quantum chemistry, molecular dynamics, and Brownian/Stokesian dynamics.  Chow earned an Honors B.A.Sc. in systems design engineering from the University of Waterloo, Canada, in 1993, and a Ph.D. in computer science with a minor in aerospace engineering from the University of Minnesota in 1997. Chow was awarded the 2009 ACM Gordon Bell prize and the 2002 Presidential Early Career Award for Scientists and Engineers (PECASE).

    echow@cc.gatech.edu

    404.894.3086

    Office Location:
    CODA S1311

    CoC Profile Page

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    Research Focus Areas:
    • Delivery & Storage
    • High Performance Computing
    • Policy & Economics
    Additional Research:

    High performance computing, materials, data Sciences, cyber/ information technology, quantum information sciences


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    Alexander Alexeev

    Alexander Alexeev

    Alexander Alexeev

    Professor

    Dr. Alexeev came to Georgia Tech at the beginning of 2008 as an assistant professor. His research background is in the area of fluid mechanics. He uses computer simulations to solve engineering problems in complex fluids, multiphase flows, fluid-structure interactions, and soft materials. As a part of his graduate research at Technion, he investigated resonance oscillations in gases and probed how periodic shock waves excited at resonance can enhance agglomeration of small airborne particles, a process which is important in air pollution control technology. He also investigated wave propagation in vibrated granular materials and its effect on fluidization of inelastic granules. During postdoctoral studies at TU Darmstadt, he examined how microstructures on heated walls can be harnessed to control thermocapillary flows in thin liquid films and to enhance heat transport in the fluid. That could be beneficial in many practical applications, especially in microgravity. At the University of Pittsburgh, he studied the motion of micrometer-sized, compliant particles on patterned substrates to develop efficient means of controlling movement of such particles in microfluidic devices. Such substrates are needed to facilitate various biological assays and tissue engineering studies dealing with individual cells.

    alexander.alexeev@me.gatech.edu

    Website

    Research Focus Areas:
    • Energy Infrastructure

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    Meisha Shofner

    Meisha Shofner

    Meisha Shofner

    Professor, School of Materials Science and Engineering

    Meisha L. Shofner is a professor in the School of Materials Science and Engineering at Georgia Institute of Technology, joining the faculty following post-doctoral training at Rensselaer Polytechnic Institute. She received her B.S. in Mechanical Engineering from The University of Texas at Austin and her Ph.D. in Materials Science from Rice University. Prior to beginning graduate school, she was employed as a design engineer at FMC in the Subsea Engineering Division, working at two plant locations (Houston, Texas and the Republic of Singapore), and she is a registered Professional Engineer in Georgia.

    Shofner’s research area is processing-structure-property relationships of polymers and composites. Specifically, she designs processing strategies to attain hierarchical structures in these materials to improve properties and has discovered scalable processing methods to produce auxetic structures and tensegrity-inspired structures. Additionally, she works with bioderived materials to produce composites with reduced environmental impact.  

    meisha.shofner@mse.gatech.edu

    404.385.7216

    Office Location:
    MRDC 4409

    Shofner Lab

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    Research Focus Areas:
    • Advanced Composites
    • Materials & Manufacturing
    • Materials and Nanotechnology
    • Renewable Energy
    Additional Research:

    Biomolecular-Solids; Biomaterials; Composites; Polymers; Nanomaterials; Biofuels; Structure-property relationships in polymer nanocomposite materials; producing structural hierarchy in these materials for structural and functional applications.


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    Nancey Green Leigh

    Nancey Green Leigh

    Nancey Green Leigh

    Professor; School of City & Regional Planning
    Associate Dean for Research; College of Design

    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.

    ngleigh@design.gatech.edu

    404.894.9839

    Office Location:
    Architecture-East Building, 209

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    University, College, and School/Department
    Research Focus Areas:
    • Collaborative Robotics
    • Policy & Economics
    • Use & Conservation
    Additional Research:

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


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    Pascal Van Hentenryck

    Pascal Van Hentenryck

    Pascal Van Hentenryck

    Director, AI Hub
    A. Russell Chandler III Chair
    Professor
    Director, AI Institute for Advances in Optimization

    Pascal Van Hentenryck is an A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Prior to this appointment, he was a professor of Computer Science at Brown University for about 20 years, he led the optimization research group (about 70 people) at National ICT Australia (NICTA) (until its merger with CSIRO), and was the Seth Bonder Collegiate Professor of Engineering at the University of Michigan. Van Hentenryck is also an Honorary Professor at the Australian National University.

    Van Hentenryck is a Fellow of AAAI (the Association for the Advancement of Artificial Intelligence) and INFORMS (the Institute for Operations Research and Management Science). He has been awarded two honorary doctoral degrees from the University of Louvain and the university of Nantes, the IFORS Distinguished Lecturer Award, the Philip J. Bray Award for teaching excellence in the physical sciences at Brown University, the ACP Award for Research Excellence in Constraint Programming, the ICS INFORMS Prize for Research Excellence at the Intersection of Computer Science and Operations Research, and an NSF National Young Investigator Award. He received a Test of Time Award (20 years) from the Association of Logic Programming and numerous best paper awards, including at IJCAI and AAAI. Van Hentenryck has given plenary/semi-plenary talks at the International Joint Conference on Artificial Intelligence (twice), the International Symposium on Mathematical Programming, the SIAM Optimization Conference, the Annual INFORMS Conference, NIPS, and many other conferences. Van Hentenryck is program co-chair of the AAAI’19 conference, a premier conference in Artificial Intelligence.

    Van Hentenryck’s research focuses in Artificial Intelligence, Data Science, and Operations Research. His current focus is to develop methodologies, algorithms, and systems for addressing challenging problems in mobility, energy systems, resilience, and privacy. In the past, his research focused on optimization and the design and implementation of innovative optimization systems, including the CHIP programming system (a Cosytec product), the foundation of all modern constraint programming systems and the optimization programming language OPL (now an IBM Product). Van Hentenryck has also worked on computational biology, numerical analysis, and programming languages, publishing in premier journals in these areas.

    Van Hentenryck runs the Seth Bonder summer Camp in Computational and Data Science for middle- and high-school students every summer. 

    pascal.vanhentenryck@isye.gatech.edu

    (404) 385-5538

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  • Research Focus Areas:
    • Artificial Intelligence (AI)
    • Energy Utilization and Conservation
    Additional Research:

    Electric Vehicles


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