Vladimir Kolesnikov

Vladimir Kolesnikov

Vladimir Kolesnikov

Associate Professor
Prior to joining Georgia Tech, Vlad Kolesnikov was a member of the technical staff in Bell Labs' Enabling Computing Technologies domain in Murray Hill, NJ. Kolesnikov has worked on cryptography and security since 2000. His current research interest is practical and foundational aspects of secure computation, especially of two-party computation. He has authored a number of papers and patent applications about improving and using garbled circuits, homomorphic encryption, and related techniques. His other interests include key exchange, especially its definitional aspects. Kolesnikov has been involved in the design and analysis of smart grid networks, storage area networks, wireless and biometric authentication, and other secure systems. He served on standards committees (WiMAX), and was and is a principal investigator on projects for the Office of Naval Research and Intelligence Advanced Research Projects Activity (IARPA). He received his Ph.D. in Computer Science from the University of Toronto in 2006.

kolesnikov@gatech.edu

Research Focus Areas:
  • Network and Security Vulnerability Analysis
Additional Research:
Encryption; Mobile & Wireless Communications;

Taesoo Kim

Taesoo Kim

Taesoo Kim

Professor

Taesoo Kim is Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology, which he joined in 2014 after completing his Ph.D. at the Massachusetts Institute of Technology. Kim is interested in building computing systems where underlying principles justify why it should be secure. Those principles include the design of the system, analysis of its implementation, and clear separation of trusted components. Kim seeks to develop tools that automatically identify which parts of an operating system have been affected, allowing a system administrator to recover from cyberattacks without excessive, manual effort. Since arriving at Georgia Tech, Kim has secured numerous reseach grants from the Office of Naval Research, the National Science Foundation, and Defense Advanced Research Projects Agency (DARPA), among others. He continues to earn numerous honors such as the 2015 Internet Defense Prize from USENIX and Facebook, and he competed as a finalist in the inaugural DARPA Cyber Grand Challenge with Team Disekt. Kim holds two bachelor’s degrees -- in Computer Science and in Electrical Engineering -- from the Korea Advanced Institute of Science & Technology (KAIST) and graduated summa cum laude. He earned a Master’s in Electrical Engineering and Computer Science from MIT under Nickolai Zeldovitch before continuing under the same adviosr in its Ph.D. program. Kim is affiliated with the Institute for Information Security & Privacy at Georgia Tech and contributed to its predecessor -- the Georgia Tech Information Security Center.

taesoo@gatech.edu

404.385.2934

Office Location:
KACB 3142

Website

Research Focus Areas:
  • Systems and Software Security
  • Threat Intelligence and Security Analytics
Additional Research:
Computer Engineering; Architecture & Design; Internet Infrastructure & Operating Systems; Machine Learning;

Robert Clark

Robert Clark

Robert Clark

Senior Research Scientist
Robert Clark earned his Ph.D. from MIT in 2009 under the guidance of Isaac Chuang, who was coauthor of the famous "Mike and Ike" quantum computing textbook. Since then he has worked in experimental quantum physics, applications of particle traps and guides, quantum and classical physical layer security in optical systems, and network security. Clark holds the CISSP credential.

robert.clark@gtri.gatech.edu

404.407.6307

Office Location:
Centennial Research Building 283

Website

Research Focus Areas:
  • Cyber-Physical Systems
  • Network and Security Vulnerability Analysis
Additional Research:
Defense / National Security; Encryption; Modeling & Simulation;

Alexandra Boldyreva

Alexandra Boldyreva

Alexandra Boldyreva

Associate Professor
Alexandra Boldyreva, Ph.D., is an accomplished researcher in the areas of cryptography and information security who has published nearly three dozen works about public key and other encryption methods. A member of the Institute for Information Security & Privacy (IISP) and the Algorithms, Combinatorics and Optimization program (ACO), she was a past contributor to the IISP's predecessor, the Georgia Tech Information Security Center. Boldyreya also serves as an associate professor for the Georgia Institute of Technology and coordinator for the information security master’s program in the College of Computing. She received her doctorate in computer science from the University of California, San Diego and bachelor's in science and master's in science in applied mathematics from the St. Petersburg State Technical University in Russia In her spare time, Boldyreva enjoys nature photography, and many of her works adorn the halls of the School of Computer Science at Georgia Tech.

sasha@gatech.edu

404.385.6753

Website

Additional Research:
Cloud Security; Encryption

Animesh Garg

Animesh Garg

Animesh Garg

Assistant Professor

Animesh Garg is a Stephen Fleming Early Career Assistant Professor at School of Interactive Computing at Georgia Tech. He leads the People, AI, and Robotics (PAIR) research group. He is on the core faculty in the Robotics and Machine Learning programs. Animesh is also a Senior Researcher at Nvidia Research. Animesh earned a Ph.D. from UC Berkeley and was a postdoc at the Stanford AI Lab. He is on leave from the department of Computer Science at University of Toronto and CIFAR Chair position at the Vector Institute.

Garg earned his M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. He worked with Ken Goldberg at Berkeley AI Research (BAIR). He also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. Animesh was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.

Garg's research vision is to build the Algorithmic Foundations for Generalizable Autonomy, that enables robots to acquire skills, at both cognitive & dexterous levels, and to seamlessly interact & collaborate with humans in novel environments. His group focuses on understanding structured inductive biases and causality on a quest for general-purpose embodied intelligence that learns from imprecise information and achieves flexibility & efficiency of human reasoning.

animesh.garg@gatech.edu

Personal Profile Page

Google Scholar

Research Focus Areas:
  • Foundations of Robotics
  • Human-Centered Robotics
  • Machine Learning
  • Robotics
Additional Research:

Robot Learning3D Vision and Video ModelsCausal InferenceReinforcement LearningCurrent Applications: Mobile-Manipulation in Retail/Warehouse, personal, and surgical robotics


IRI Connections:

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

  • Related Site
  • Google Scholar

    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.

    IRI Connections:

    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


    IRI Connections:

    Wenke Lee

    Wenke Lee

    Wenke Lee

    Executive Director, Institute for Information Security and Privacy
    Co-Executive Director, SEI
    Professor

    Wenke Lee, Ph.D., is executive director of the Institute for Information Security & Privacy (IISP) and responsible for continuing Georgia Tech's international leadership in cybersecurity research and education. Additionally, he is the John P. Imlay, Jr. Professor of Computer Science in the College of Computing at Georgia Tech, where he has taught since 2001. Previously, he served as director of the IISP's predecessor -- the Georgia Tech Information Security Center (GTISC) research lab -- from 2012 to 2015. Lee is one of the most prolific and influential security researchers in the world. He has published several dozen, oft-cited research papers at top academic conferences, including the ACM Conference on Computer and Communications Security, USENIX Security, IEEE Security & Privacy ("Oakland"), and the Network & Distributed System Security (NDSS) Symposium. His research expertise includes systems and network security, botnet detection and attribution, malware analysis, virtual machine monitoring, mobile systems security, and detection and mitigation of information manipulation on the Internet. Lee regularly leads large research projects funded by the National Science Foundation (NSF), U.S. Department of Defense, Department of Homeland Security, and private industry. Significant discoveries from his research group have been transferred to industry, and in 2006, doing so enabled Lee to co-found Damballa, Inc., which focused on detection and mitigation of advanced persistent threats. Lee’s awards and honors include the “Internet Defense Prize” awarded by Facebook and USENIX in 2015, an “Outstanding Community Service Award” from the IEEE Technical Committee on Security and Privacy in 2013, a Raytheon Faculty Fellowship in 2005, an NSF Career Award in 2002, as well as best paper awards in the IEEE Symposium on Security and Privacy and the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Passionate about quality education, Lee serves on the advisory boards of the Faculty of Engineering at the Chinese University of Hong Kong and the board of trustees at Pace Academy in Atlanta. He received his Ph.D. in Computer Science from Columbia University in 1999.

    wenke@cc.gatech.edu

    404.385.2879

    Website

    Research Focus Areas:
    • Delivery & Storage
    • Machine Learning
    • Network and Security
    • Policy & Economics
    • Vulnerability Analysis
    Additional Research:

    Data Security & Privacy; Encryption; Internet Infrastructure & Operating Systems; Machine Learning; Cyber Technology


    IRI Connections:

    Seymour Goodman

    Seymour Goodman

    Seymour Goodman

    Regents' Professor
    Professor of International Affairs and Computing

    Seymour E. Goodman, Ph.D., joined the Georgia Tech faculty in 2000 as Professor of International Affairs and Computing and Co-Director of the Georgia Tech Information Security Center, jointly in the Sam Nunn School of International Affairs and the College of Computing. Prof. Goodman's research interests include international developments in the information technologies (IT), technology diffusion, IT and national security, critical infrastructure protection, and related public policy issues. Areas of geographic interest include the former Soviet Union and Eastern Europe, Latin America, the Middle East, South and East Asia, and parts of Africa. Earlier research had been in areas of statistical and continuum physics, combinatorial algorithms, and software engineering. He is the author or co-author of about 150 publications in these subjects, and serves in various editorial capacities for several academic journals, including contributing editor for International Perspectives for the Communications of the ACM since 1990. He has served on numerous study and advisory committees for the ACM, the Departments of Commerce, Defense, and State, the US Congress, and the National Research Council. Prof. Goodman's work has been supported by almost three dozen funding sources, most recently by multi-year grants from the National Science Foundation and the MacArthur Foundation. He teaches several undergraduate and graduate courses in science and technology and national and international security.  In 2010, he was appointed to the Computer Science and Telecommunications Board of the National Research Council of the National Academies. Secondary research interests include the impact of S&T on the American Civil War, World War II, and the Cold War. Prof. Goodman was an undergraduate at Columbia University and obtained his Ph.D. from the California Institute of Technology.

    goodman@cc.gatech.edu

    404.385.1461

    Office Location:
    Habersham 302

    Website

    Research Focus Areas:
    • Cybersecurity Public Policy
    • Delivery & Storage
    • Policy & Economics
    Additional Research:
    Software & Applications; Algorithms; Defense / National Security; Cyber Technology

    IRI Connections:

    Jacob Abernethy

    Jacob Abernethy

    Jacob Abernethy

    Director for Student Engagement, IDEaS

    Jacob Abernethy is an Associate Professor in the College of Computing at Georgia Tech. He started his faculty career in the Department of Electrical Engineering and Computer Science at the University of Michigan. He completed his Ph.D. in Computer Science at the University of California at Berkeley, and then spent two years as a Simons postdoctoral fellow at the CIS department at UPenn. Abernethy's primary interest is in Machine Learning, with a particular focus in sequential decision making, online learning, online algorithms and adversarial learning models. He did his Master's degree at TTI-C, and his Bachelor's Degree at MIT.

    prof@gatech.edu

    Website

    Research Focus Areas:
    • Algorithms & Optimizations
    • Machine Learning

    IRI Connections: