Naveena Karusala is an assistant professor in the School of Interactive Computing at Georgia Tech. Her research investigates how we can center care work in the design of AI technologies to enable sustainable futures of work, with a focus on the domains of healthcare and social services. Her work has received recognition at premier venues for Human-Computer Interaction, such as ACM CHI and ACM CSCW. She holds a PhD in Computer Science from the University of Washington, and a Bachelor's in Computer Science from Georgia Tech. Naveena also serves on the ACM SIGCHI Executive Committee as Vice-President for Communications.

I am an Assistant Professor at Georgia Institute of Technology’s School of Interactive Computing. I design culturally informed STEM education technologies and increase access to computer science education in sustainable ways for low-income students and underserved communities. My work prioritizes identity development, engagement, and long-term sustainability of interventions.

Prior to Georgia Tech, I was a post-doctoral researcher at Carnegie Mellon’s Robotics Academy. I have a PhD in Human-Computer Interaction from Carnegie Mellon’s HCI Institute and was advised by Amy Ogan and Ken Koedinger.

My research has contributed to the design of a tablet-based learning system used to supplement formal education by over 500 students in rural Tanzania, programmable video games codesigned with children to increase computational thinking and coding skills among low income and marginalized youth in the United States, codesign of a state-wide Artificial Intelligence middle school curriculum, and active collaboration with several schools and organizations. As a passion project, I review children’s storybooks that celebrate African history and culture.

Alan Ritter is an associate professor in the School of Interactive Computing at Georgia Tech. His research interests include natural language processing, information extraction, and machine learning. He completed his Ph.D. at the University of Washington and was a postdoctoral fellow in the Machine Learning Department at Carnegie Mellon.  His research aims to solve challenging technical problems that can help machines learn to read vast quantities of text with minimal supervision.  His work has been featured in the press including WIRED, TNW and VentureBeat.  Alan is the recipient of an NSF CAREER, an Amazon Research Award, a Sony Faculty Innovation Award, and several paper awards presented at the Annual Meeting of the Association for Computational Linguistics.

I am an assistant professor in the School of Interactive Computing at Georgia Tech. Before joining Georgia Tech, I spent two wonderful years at Virginia Tech as a faculty member. Prior to this, I was a postdoctoral fellow in the Visual Computing Group at Harvard University, and received my Ph.D. from Human-Centred Computing Department, Monash University, Australia.

My research encompasses a wide range of topics within the fields of Visualization (VIS), VR/AR, and Human-Computer Interaction (HCI). I actively contribute to these communities and regularly publish my work in leading venues such as IEEE VIS, ACM CHI, IEEE TVCG, EuroVis, and IEEE VR. I am honored to have received three best paper honorable mention awards, notably from IEEE VIS in 2016 and 2022, as well as ACM CHI in 2021. I also serve as a program committee member for several prestigious conferences in my fields, including IEEE VIS 2022/23/24, ACM CHI 2023/24, and IEEE VR 2022/23/24.

Wei Xu is an associate professor in the School of Interactive Computing at the Georgia Institute of Technology. Xu received her Ph.D. in Computer Science from New York University, and her B.S. and M.S. from Tsinghua University. Her research interests are in natural language processing, machine learning, and social media. Her recent work focuses on text generation, stylistics, information extraction, robustness and controllability of machine learning models, and reading and writing assistive technology. She is a recipient of the NSF CAREER Award, CrowdFlower AI for Everyone Award, Criteo Faculty Research Award, and Best Paper Award at COLING'18. She has also received funds from DARPA and IARPA and is part of the Machine Learning Center and NSF AI CARING Institute at Georgia Tech.

Dr. Danfei Xu is an Assistant Professor in the School of Interactive Computing at Georgia Tech. Dr. Xu received a B.S. in Computer Science from Columbia University in 2015 and a Ph.D. in Computer Science from Stanford University in 2021. His research goal is to enable physical autonomy in everyday human environments with minimum expert intervention. Towards this goal, his work draws equally from Robotics, Machine Learning, and Computer Vision, including topics such as imitation & reinforcement learning, representation learning, manipulation, and human-robot interaction. His current research focuses on visuomotor skill learning, structured world models for long-horizon planning, and data-driven approaches to human-robot collaboration.