Maria Konte


Maria Konte

Research Scientist

Maria Konte is a research scientist at the School of Computer Science at Georgia Tech and affiliated with its Institute for Information Security & Privacy. Her research is network security. Her work on network reputation as a measure to defend against cybercriminal infrastructures, appeared at ACM SIGCOMM15, and NANOG62 Research Track. She received the Passive and Active Measurement Conference Best Paper Award 2009 for her work on hosting infrastructures of malicious DNS domains. She received her Ph.D. in Computer Science from Georgia Tech in 2015. She holds an Master's in Systems Engineering from Boston University, and a Diploma in Eng. from the Industrial Engineering and Management Dept. at Technical University of Crete, Greece. She has interned at Damballa and Verisign Labs.

mkonte@gatech.edu

Website

Research Focus Areas:
  • Network and Security Vulnerability Analysis
Additional Research:
Network Science

IRI Connections:

Annalisa Bracco

Annalisa Bracco

Annalisa Bracco

Associate Chair and Professor; Earth and Atmospheric Sciences

Dr. Annalisa Bracco is a professor at Georgia Tech with extensive background in computational fluid dynamics and physical oceanography. Her research interests include coastal ocean circulation, with focus on meso- and submesoscale processes, ocean predictability and inverse dynamics, impacts of physical forcing on ecosystems, and climate model validation. Her group has been involved in field collections during the Deepwater Horizon spill (July/Aug. 2010) and was back in the Gulf in the summer of 2011.

abracco@gatech.edu

Website

University, College, and School/Department
Research Focus Areas:
  • Health & Life Sciences
Additional Research:
Data Mining

IRI Connections:

Fan Zhang

Fan Zhang

Fan Zhang

Assistant Professor; School of Mechanical Engineering

Dr. Fan Zhang received her Ph.D. in Nuclear Engineering and M.S. in Statistics from UTK in 2019. She is the recipient of the 2021 Ted Quinn Early Career Award from the American Nuclear Society and joined the Woodruff School in July, 2021. She is actively involved with multiple international collaborations on improving nuclear cybersecurity through the International Atomic Energy Agency (IAEA) and the DOE Office of International Nuclear Security (INS). Dr. Zhang’s research primarily focuses on the cybersecurity of nuclear facilities, online monitoring & fault detection using data analytics methods, instrumentation & control, and nuclear systems modeling & simulation. She has developed multiple testbeds using both simulators and physical components to investigate different aspects of cybersecurity as well as process health management.

fan.zhang@me.gatech.edu

404.894.5735

Office Location:
Boggs 371

iFAN Lab

  • ME Profile Page
  • Google Scholar

    Research Focus Areas:
    • AI for Security
    • Analytics and Prognostics Systems
    • Critcal Data Protection
    • Cyber-Physical Systems
    • Electrical Grid
    • Nuclear
    • Risk Management
    • Security and Privacy of AI
    • Threat Intelligence and Security Analytics
    Additional Research:

    Research interests include instrumentation & control, autonomous control, cybersecurity, online monitoring, fault detection, prognostics, risk assessment, nuclear system simulation, data-driven models, and artificial intelligence applications.  


    IRI Connections:

    Leonid Bunimovich

    Leonid Bunimovich

    Leonid Bunimovich

    Regents' Professor, School of Mathematics

    Leonid Abramowich Bunimovich (born August 1, 1947) is a Soviet and American mathematician, who made fundamental contributions to the theory of dynamical systems, statistical physics, and various applications.

     Bunimovich received his bachelor's degree in 1967, master's degree in 1969, and Ph.D. in 1973 from the University of Moscow. His masters and Ph.D. thesis advisor was Yakov G. Sinai. 

    Bunimovich is a Regents' Professor of mathematics at the Georgia Institute of Technology, a Fellow of the Institute of Physics, and was awarded Humboldt Prize in Physics.

    bunimovh@math.gatech.edu

    404.894.4748

    Office Location:
    Skiles 136

    Google Scholar

    University, College, and School/Department
    Research Focus Areas:
    • Computational Materials Science
    Additional Research:

    Materials data sciences, numerical modeling, quantum materials


    IRI Connections:

    Shihao Yang

    Shihao Yang

    Shihao Yang

    Assistant Professor

    Dr. Shihao Yang is an assistant professor in the School of Industrial & Systems Engineering at Georgia Tech. Prior to joining Georgia Tech, he was a post-doc in Biomedical Informatics at Harvard Medical School after finishing his PhD in statistics from Harvard University. Dr. Yang’s research focuses on data science for healthcare and physics, with special interest in electronic health records causal inference and dynamic system inverse problems.

    shihao.yang@isye.gatech.edu

    Website

    University, College, and School/Department
    Research Focus Areas:
    • Artificial Intelligence (AI)
    • Machine Learning
    Additional Research:

    Data Mining


    IRI Connections:

    Xu Chu

    Xu Chu

    Xu Chu

    Assistant Professor

    Xu Chu is an assistant professor in the School of Computer Science at Georgia Tech. He obtained his Ph.D. degree from the University of Waterloo in late 2017, and joined Georgia Tech in Jan 2018. He is a recipient of the JP Morgan Faculty Research Fellow Award, the Microsoft Ph.D. fellowship award, and the David R. Cheriton fellowship award. 

    He is broadly interested in data management systems and machine learning. In particular, he focuses on (1) how to leverage advanced machine learning techniques to solve hard and practical data management problems, such as large-scale data integration; and (2) how to build data management systems to tackle the common pain points in practical machine learning, such as the lack of high-quality labeled data.

    xu.chu@cc.gatech.edu

    Website

  • Computing Profile
  • University, College, and School/Department
    Research Focus Areas:
    • Machine Learning
    Additional Research:

    Data Mining


    IRI Connections:

    Vivek Sarkar

    Vivek Sarkar

    Vivek Sarkar

    Professor and Chair

    Vivek Sarkar is Chair of the School of Computer Science at Georgia Tech, where he is also the Stephen Fleming Chair for Telecommunications in the College of Computing. He conducts research in multiple aspects of parallel computing software including programming languages, compilers, runtime systems, and debuggers for parallel, heterogeneous and high-performance computer systems. Prof. Sarkar currently leads the Habanero Extreme Scale Software Research Laboratory at Georgia Tech, and is co-director of the Center for Research into Novel Computing Hierarchies (CRNCH). He is also the instructor for a 3-course online specialization on Parallel, Concurrent, and Distributed Programming hosted on Coursera. 

    Prior to joining Georgia Tech in 2017, Prof. Sarkar was the E.D. Butcher Chair in Engineering at Rice University, where he created the Habanero Lab, served as Chair of the Department of Computer Science during 2013–2016, and created a sophomore-level undergraduate course on Fundamentals of Parallel Programming. Before joining Rice in 2007, Sarkar was Senior Manager of Programming Technologies at IBM Research. His research projects at IBM included the X10 programming language, the Jikes Research Virtual Machine for the Java language, the ASTI optimizer used in IBM’s XL Fortran product compilers, and the PTRAN automatic parallelization system. Sarkar became a member of the IBM Academy of Technology in 1995, and was inducted as an ACM Fellow in 2008. He has been serving as a member of the US Department of Energy’s Advanced Scientific Computing Advisory Committee (ASCAC) since 2009, and on CRA’s Board of Directors since 2015.

    vsarkar@gatech.edu

    Website

    Research Focus Areas:
    • High Performance Computing

    IRI Connections:

    Tamara Bogdanovic

    Tamara Bogdanovic

    Tamara Bogdanovic

    Professor

    Tamara Bogdanović is a theoretical astrophysicist whose research interests include the ins and outs of some of the most massive black holes in the universe known as supermassive black holes. She investigates the physical processes that arise in accretion flows around supermassive black holes and uses them as luminous tracers of these otherwise dark objects. Some of the scenarios she and her colleagues study include the accretion of gas by the single and binary supermassive black holes as well as the accretion of stars that happen to be disrupted by the black hole tides in galactic nuclei. Tamara’s goal as a theorist is to predict the signatures of these interactions which can be searched for in observations, as well as to provide interpretation for some of the puzzling astrophysical events seen on the sky.

    tamarab@gatech.edu

    Website

    University, College, and School/Department
    Additional Research:
    Particle Astrophysics

    IRI Connections: