Yanni Loukissas

Yanni Loukissas's profile picture
yanni.loukissas@lmc.gatech.edu

Yanni Loukissas is an Associate Professor of Digital Media in the School of Literature, Media, and Communication at Georgia Tech. His research is focused on helping creative professionals think critically about the social implications of emerging technologies. His forthcoming book, All Data Are Local: Thinking Critically in a Data-Driven Society (MIT Press, 2019), is addressed to a growing audience of practitioners who want to work with unfamiliar sources both effectively and ethically. He is also the author of Co-Designers: Cultures of Computer Simulation in Architecture (Routledge, 2012) and a contributor to Simulation and its Discontents (MIT Press, 2009). Before coming to Georgia Tech, he was a lecturer at the Harvard Graduate School of Design, where he co-coordinated the Program in Art, Design and the Public Domain. He was also a principal at metaLAB, a research project of the Harvard Berkman Center for Internet and Society. He has taught at Cornell, MIT, and the School of the Museum of Fine Arts. Originally trained as an architect at Cornell, he subsequently attended MIT, where he received a Master of Science and a PhD in Design and Computation. He also completed postdoctoral work at the MIT Program in Science, Technology and Society. Website:  http://loukissas.lmc.gatech.edu/

Associate Professor

James Budd

James Budd's profile picture
jim.budd@design.gatech.edu

Jim Budd brings 15 years of academic and research leadership in human-centered, interactive product design, as well as two decades of corporate design experience to the school. Most recently, he was associate professor of industrial and interaction design at Emily Carr University of Art and Design in Vancouver, British Columbia, Canada, where he headed the Wearables and Interactive Products Lab. Jim Budd is the past chair of Georgia Tech's School of Industrial Design. 

Professor Emeritus, School of Industrial Design
University, College, and School/Department

Kait Morano

Kait Morano 's profile picture
kmorano@gatech.edu

Kait Morano is a Research Scientist II at the Institute for People and Technology (IPaT). Her interests include urban planning, climate change, and spatial analysis, and her work focuses on designing innovative, equitable strategies to build community resilience. At IPaT, she serves as the Resilience Planning Director of the Coastal Equity and Resilience (CEAR) Hub.

Kait holds a bachelor’s in Geography from Virginia Tech and a master’s of City and Regional Planning from Georgia Tech, where she specialized in Geographic Information Systems. Prior to joining IPaT, Kait worked in local government on the Georgia coast, at the Center for Spatial Planning Analytics and Visualization at Georgia Tech, and as an ORISE Fellow at the Centers for Disease Control and Prevention.

Research Scientist II

Judy Hoffman

Judy Hoffman's profile picture
judy@gatech.edu

Judy Hoffman is an associate  professor in the School of Interactive Computing at Georgia Tech, a member of the Machine Learning Center, and a Diversity and Inclusion Fellow. Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has received numerous awards including the Samsung AI Researcher of the Year Award (2021), the NVIDIA female leader in computer vision award (2020), AIMiner top 100 most influential scholars in Machine Learning (2020), MIT EECS Rising Star in 2015, and is a recipient of the NSF Graduate Fellowship. In addition to her research, she co-founded and continues to advise for Women in Computer Vision, an organization which provides mentorship and travel support for early-career women in the computer vision community. Prior to joining Georgia Tech, she was a research scientist at Facebook AI Research. She received her PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016 after which she completed postdocs at Stanford University (2017) and UC Berkeley (2018).

Associate Professor; College of Computing
Additional Research

Machine LearningComputer VisionArtificial Intelligence

University, College, and School/Department
Google Scholar
https://scholar.google.com/citations?hl=en&user=mqpjAt4AAAAJ&view_op=list_works&sortby=pubdate

Omer Inan

Omer Inan's profile picture
omer.inan@ece.gatech.edu

Omer T. Inan received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from Stanford University in 2004, 2005, and 2009, respectively.

He worked at ALZA Corporation in 2006 in the Drug Device Research and Development Group. From 2007-2013, he was chief engineer at Countryman Associates, Inc., designing and developing several high-end professional audio products. From 2009-2013, he was a visiting scholar in the Department of Electrical Engineering at Stanford. In 2013, he joined the School of ECE at Georgia Tech as an assistant professor.

Inan is generally interested in designing clinically relevant medical devices and systems, and translating them from the lab to patient care applications. One strong focus of his research is in developing new technologies for monitoring chronic diseases at home, such as heart failure.

He and his wife were both varsity athletes at Stanford, competing in the discus and javelin throw events respectively.

Professor, School of Electrical and Computer Engineering
Linda J. and Mark C. Smith Chair, School of Electrical and Computer Engineering
Phone
404.385.1724
Office
TSRB 417
Additional Research
  • Medical devices for clinically-relevant applications
  • Non-invasive physiological monitoring
  • Home monitoring of chronic disease
  • Cardiomechanical signals
  • Medical instrumentation
Google Scholar
https://scholar.google.com/citations?hl=en&user=CURXz5UAAAAJ&view_op=list_works&sortby=pubdate

Juba Ziani

Juba Ziani's profile picture
jziani3@gatech.edu

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

Alex Endert

Alex Endert's profile picture
endert@gatech.edu

Alex Endert is an Associate Professor in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, where he works with his students to design and study how interactive visual tools help people make sense of data and AI. His lab often tests these advances in domains, including intelligence analysis, cyber security, decision-making, manufacturing safety, and others. His lab receives generous support from sponsors, including NSF, DOD, DHS, DARPA, DOE, and industry. In 2018, he received a CAREER award from the National Science Foundation for his work on visual analytics by demonstration. He received his Ph.D. in Computer Science from Virginia Tech in 2012. In 2013, his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award.

Assistant Professor
Phone
404-385-4477
Additional Research

Visual Analytics

Mary Ann Weitnauer

Mary Ann Weitnauer's profile picture
mary.ann.weitnauer@ece.gatech.edu
Associate Chair-Academic; Senior Associate Chair
Phone
404-894-9482
Additional Research

Wireless Communication; Cooperative Diversity; Distributed MIMO; MAC and Routing for Wireless Multi-Hop Networks; Millimeter Wave Communications

University, College, and School/Department

Irfan Essa

Irfan Essa's profile picture
irfan@cc.gatech.edu

Irfan Essa is a Professor in the School of Interactive Computing and Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology. Professor Essa works in the areas of Computer Vision, Artificial Intelligence, Machine Learning, Robotics, Computer Graphics, and Social Computing, with potential impact on Content Creation, Analysis and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research.He has published over 150 scholarly articles in leading journals and conference venues on these topics and several of his papers have also won best paper awards. He has been awarded the National Science Foundation CAREER Award and was elected an IEEE Fellow. He has held extended research consulting positions with Disney Research and Google Research and also was an Adjunct Faculty Member at Carnegie Mellon's Robotics Institute. He joined Georgia Tech in 1996 after his earning his Master's (1990), Ph.D. (1994), and holding a research faculty position at the Massachusetts Institute of Technology Media Lab (1988-1996).

Senior Associate Dean; College of Computing
Professor; School of Interactive Computing
Phone
404.894.6856
Additional Research

Healthcare Security; Machine Learning; Mobile & Wireless Communications; Computer Vision and Robotics; Computer Graphics and Animation; Computational Photography and Video; Intelligent and Aware Environments; Digital Special Effects; Computational Journalism; Social Computing

Research Focus Areas