Diego Cifuentes

Diego Cifuentes

Diego Cifuentes

Assistant Professor

Diego Cifuentes is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research centers around the development of mathematical optimization methods, and the application of these methods in engineering areas such as machine learning, statistics, robotics, power systems, and computer vision. He also works in the theoretical analysis of optimization methods, leveraging geometric and combinatorial information to improve efficiency and robustness. Prior to joining ISyE, he served as an applied math instructor in MIT and as a postdoctoral researcher in the Max Planck Institute for Mathematics in the Sciences.

He earned his Ph.D. and M.S. in Electrical Engineering and Computer Science from MIT, and his B.S. in Mathematics and B.S. in Electronics Engineering from Universidad de los Andes.

diego.cifuentes@isye.gatech.edu

Office Location:
Groseclose 326

ISyE Profile Page

Google Scholar

Research Focus Areas:
  • Algorithms & Optimizations
  • Factory Information Systems
  • Machine Learning
  • Robotics
  • System Design & Optimization
Additional Research:

Mathematical optimization methodsStatisticsComputer vision


IRI Connections:

Steven French

Steven French

Steven French

Dean and John Portman Chair, College of Design

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.

steven.french@design.gatech.edu


IRI Connections:

Surya Kalidindi

Surya Kalidindi

Surya Kalidindi

Regents' Professor, School of Mechanical Engineering and Materials Science and Engineering
Rae S. & Frank H. Neely Chair, Woodruff School of Mechanical Engineering

Surya Kalidindi is a Regents Professor, and Rae S. and Frank H. Neely Chair Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, Georgia, USA with joint appointments in the School of Materials Science and Engineering as well as the School of Computational Science and Engineering. Surya earned a Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 1992, and joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor. After twenty years at Drexel University, Surya moved into his current position at Georgia Tech. Surya’s research efforts have made seminal contributions to the fields of crystal plasticity, microstructure design, and materials informatics. Surya has been elected a Fellow of ASM International, TMS, and ASME. In 2016, he and his group members have been awarded the top prize as well as one of the runner-up prizes in the national Materials Science and Engineering Data Challenge sponsored by the Air Force Research Lab in partnership with the National Institute of Standards and Technology and the U.S. National Science Foundation. He has also been awarded the Alexander von Humboldt Research Award, the Vannever Bush Faculty Fellow, the Government of India’s Vajra Faculty Award, and the Khan International Award.

surya.kalidindi@me.gatech.edu

404.385.2886

Office Location:
B-H 192

ME Profile Page

  • MINED Experimental Group
  • Google Scholar

    Research Focus Areas:
    • Computational Materials Science
    Additional Research:

    Multiscale Modeling; Crystallization; computational mechanics; Materials Informatics; Data Analytics


    IRI Connections:

    Ada Gavrilovska

    Ada Gavrilovska

    Ada Gavrilovska

    Senior Research Scientist

    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.

    ada@cc.gatech.edu

    404.894.0387

    Website

    Research Focus Areas:
    • Big Data
    • High Performance Computing
    Additional Research:

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


    IRI Connections:

    Tushar Krishna

    Tushar Krishna

    Tushar Krishna

    ON Semiconductor Junior Professor, School of Electrical and Computer Engineering

    Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

    Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

    tushar@ece.gatech.edu

    404.894.9483

    Office Location:
    Klaus 2318

    ECE Profile Page

  • Personal Research Site
  • Google Scholar

    Research Focus Areas:
    • Computer Engineering
    • Gigatechnology
    • High Performance Computing
    • Machine Learning
    • Micro and Nano Device Engineering
    • Miniaturization & Integration
    • System Design & Optimization
    Additional Research:

    Networks-on-Chip (NoC)Interconnection NetworksReconfigurable Computing and FPGAsHeterogeneous ArchitecturesDeep Learning Accelerators


    IRI Connections:

    Hyesoon Kim

    Hyesoon Kim

    Hyesoon Kim

    Associate Professor

    Dr. Hyesoon Kim received her Ph.D. degree in electrical and computer engineering from the University of Texas at Austin. Her research interests include high-performance energy-efficient computer architectures, programmer-compiler-architecture interaction, low-power high-performance embedded processors, and compiler and hardware support for dynamic optimizations, virtual machines, and binary instrumentation.

    hyesoon@cc.gatech.edu

    Website

    University, College, and School/Department

    IRI Connections:

    John Wise

     John Wise

    John Wise

    Associate Professor

    Professor John Wise uses numerical simulations to study the formation and evolution of galaxies and their black holes. He is one of the lead developers of the community-driven, open-source astrophysics code Enzo and has vast experience running state-of-the-art simulations on the world’s largest supercomputers. He received his B.S. in Physics from the Georgia Institute of Technology in 2001. He then studied at Stanford University, where he received his Ph.D. in Physics in 2007. He went on to work at NASA’s Goddard Space Flight Center just outside of Washington, DC as a NASA Postdoctoral Fellow. Then in 2009, he was awarded the prestigious Hubble Fellowship which he took to Princeton University before arriving at Georgia Tech in 2011, coming back home after ten years roaming the nation.

    jwise@physics.gatech.edu

    Website

    University, College, and School/Department
    Additional Research:
    • Computational Astrophysics
    • High Performance Computing

    IRI Connections:

    Haesun Park

     Haesun Park

    Haesun Park

    Regents' Professor and Chair, School of Computational Science and Engineering

    Dr. Haesun Park is a Regents' Professor and Chair in the School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, U.S.A. She was elected as a SIAM Fellow in 2013 and IEEE Fellow in 2016 for her outstanding contributions in numerical computing, data analysis, and visual analytics. She was the Executive Director of Center for Data Analytics 2013-2015 and was the director of the NSF/DHS FODAVA-Lead (Foundations of Data and Visual Analytics) Center 2008-2014. She has published extensively in the areas of numerical computing, large-scale data analysis, visual analytics, text mining, and parallel computing. She was the conference co-chair for SIAM International Conference on Data Mining in 2008 and 2009 and an editorial board member of the leading journals in computational science and engineering such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Matrix Analysis and Applications, and SIAM Journal on Scientific Computing. She was the plenary keynote speaker at major international conferences including SIAM Conference on Applied Linear Algebra in 1997 and 2015, and SIAM International Conference on Data Mining in 2011. Before joining Georgia Tech, she was a professor in Department of Computer Science and Engineering, University of Minnesota, Twin Cities 1987- 2005 and a program director in the Computing and Communication Foundations Division at the National Science Foundation, Arlington, VA, U.S.A., 2003 - 2005. She received a Ph.D. and an M.S. in Computer Science from Cornell University, Ithaca, NY in 1987 and 1985, respectively, and a B.S. in Mathematics from Seoul National University, Seoul, Korea in 1981 with the Presidential Medal for the top graduate.

    hpark@cc.gatech.edu

    Website

    Research Focus Areas:
    • Big Data
    • High Performance Computing
    • Infrastructure Ecology
    Additional Research:

    Bioinformatics; Computer Vision


    IRI Connections:

    Yi Deng

    Yi Deng

    Yi Deng

    Professor
    BBISS Co-lead: Microclimate Monitoring and Prediction

    yi.deng@eas.gatech.edu

    404-385-1821

    Office Location:
    ES&T 3248

    EAS Profile

  • Website
  • BBISS Initiative Lead Project - Microclimate Monitoring and Predication at Geor…
  • Research Focus Areas:
    • Climate & Environment
    • Geosystems
    • Global Change
    Additional Research:
    Hydroclimate variability at regional scalesPolar-tropical interactionFeedbacks of ENSO and Annular ModesProbabilistic graphical models and climate networks

    IRI Connections: