Juba Ziani

Juba Ziani's profile picture
jziani3@gatech.edu
ISyE Profile Page

Juba Ziani is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. Prior to this, Juba was a Warren Center Postdoctoral Fellow at the University of Pennsylvania, hosted by Sampath Kannan, Michael Kearns, Aaron Roth, and Rakesh Vohra. Juba completed his Phd at Caltech in the Computing and Mathematical Sciences department, where he was advised by Katrina Ligett and Adam Wierman.

Juba studies the optimization, game theoretic, economic, ethical, and societal challenges that arise from transactions and interactions involving data. In particular, his research focuses on the design of markets for data, on data privacy with a focus on "differential privacy", on fairness in machine learning and decision-making, and on strategic considerations in machine learning.

Assistant Professor
Office
Room 343 | Groseclose | 765 Ferst Dr NW | Atlanta, GA
Additional Research

Game Theory Mechanism Design Markets for Data Differential Privacy Ethics in Machine Learning Online Learning

Google Scholar
https://scholar.google.com/citations?hl=en&user=1bwPKXpo97YC&view_op=list_works&sortby=pubdate
Personal Webpage

Yunan Luo

Yunan Luo's profile picture
yunan@gatech.edu
CoC Faculty Profile Page

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.

Assistant Professor, Computational Science and Engineering
Additional Research
  • Artificial Intelligence
  • Bioengineering
  • Bioinformatics
  • Biomaterials
  • Cancer Biology
  • Drug Discovery
  • Machine Learning
  • Protein Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=N8RBFoAAAAAJ&view_op=list_works&sortby=pubdate

Diego Cifuentes

Diego Cifuentes 's profile picture
diego.cifuentes@isye.gatech.edu
ISyE Profile Page

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.

Assistant Professor
Office
Groseclose 326
Additional Research

Mathematical optimization methodsStatisticsComputer vision

Google Scholar
https://scholar.google.com/citations?hl=en&user=WLExEWYAAAAJ&view_op=list_works&sortby=pubdate

Steven French

Steven French's profile picture
steven.french@design.gatech.edu

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.

Dean and John Portman Chair, College of Design

Surya Kalidindi

Surya Kalidindi's profile picture
surya.kalidindi@me.gatech.edu
ME Profile Page

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.

Regents' Professor, School of Mechanical Engineering and Materials Science and Engineering
Rae S. & Frank H. Neely Chair, Woodruff School of Mechanical Engineering
Phone
404.385.2886
Office
B-H 192
Additional Research

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

Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=C2k6mYwAAAAJ&view_op=list_works&sortby=pubdate
MINED Experimental Group

Ada Gavrilovska

Ada Gavrilovska's profile picture
ada@cc.gatech.edu
Website

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.

Senior Research Scientist
Phone
404.894.0387
Additional Research

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

Research Focus Areas

Tushar Krishna

Tushar Krishna's profile picture
tushar@ece.gatech.edu
ECE Profile Page

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.

ON Semiconductor Junior Professor, School of Electrical and Computer Engineering
Phone
404.894.9483
Office
Klaus 2318
Additional Research

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

Google Scholar
https://scholar.google.com/citations?hl=en&user=P__ztgcAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn Personal Research Site

Hyesoon Kim

Hyesoon Kim's profile picture
hyesoon@cc.gatech.edu
Website

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.

Associate Professor
University, College, and School/Department

John Wise

 John Wise's profile picture
jwise@physics.gatech.edu
Website

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.

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