Nine Machine Learning Faculty Members Win Teaching Awards

Nine faculty members at the Machine Learning Center at Georgia Tech (ML@GT) were recognized by the Georgia Tech Center for Teaching and Learning (CTL) for receiving outstanding responses on the Course Instructor Opinion Survey (CIOS). The awards honor excellence in teaching for spring and fall 2020. Three faculty members – Siva Theja Maguluri, Matthieu Bloch,… Continue reading Nine Machine Learning Faculty Members Win Teaching Awards

Learning Machines: Swati Gupta Explains Optimization

Welcome to Learning Machines, where we chat with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and what the future holds for their field. Today we talked with Swati Gupta, Fouts Family Early Career Professor and assistant professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE).… Continue reading Learning Machines: Swati Gupta Explains Optimization

Assistant Professor Named to IEEE’s AI’s 10 to Watch List

Diyi Yang, an assistant professor at the Machine Learning Center at Georgia Tech (ML@GT) and School of Interactive Computing has been named to IEEE’s The Future of AI: AI’s 10 to Watch 2020 list. The list recognizes 10 young academics who have demonstrated outstanding achievements in artificial intelligence. Yang has distinguished herself by pioneering an… Continue reading Assistant Professor Named to IEEE’s AI’s 10 to Watch List

Learning Machines: Neurocomputing Explained by Chris Rozell

Welcome to Learning Machines, where we chat with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and what the future holds for their field. Today we talked with Chris Rozell, a professor in the School of Electrical and Computer Engineering and ML@GT faculty member, where he explained what exactly neurocomputing… Continue reading Learning Machines: Neurocomputing Explained by Chris Rozell

Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference

A mathematician by trade, Molei Tao, typically uses mathematics to design algorithms and solve physical science problems like how planets move. Recently, he became attracted to machine learning, an area that according to him, contains numerous interesting problems that are mathematically exciting and can benefit from modern mathematical tools. This year, Tao published his first… Continue reading Tao Wins Best Paper Award at Artificial Intelligence and Statistics Conference

Learning Machines: Natural Language Processing Explained with Diyi Yang

Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work. Today we talked with Diyi Yang, an assistant professor in ML@GT and the School of Interactive Computing. Yang’s lab, Social and Language Technologies (SALT), combines… Continue reading Learning Machines: Natural Language Processing Explained with Diyi Yang

Learning Machines: Polo Chau Explains Data Visualizations

Welcome to Learning Machines, where we’ll talk with faculty members from the Machine Learning Center at Georgia Tech (ML@GT) about their main research area and the future of their work. Today we talked with Polo Chau, the associate director for corporate relations at ML@GT, an associate professor in the School of Computational Science and Engineering,… Continue reading Learning Machines: Polo Chau Explains Data Visualizations

ML@GT Expands Natural Language Processing and Data Science Research with New Faculty Hires

At the start of the 2020 fall term, Wei “Coco” Xu, Alan Ritter, Shihao Yang, and Jing Li will join the Machine Learning Center at Georgia Tech (ML@GT) as faculty members. Xu and Ritter join as the center continues to expand its footprint in the natural language processing field. “We are happy and excited to… Continue reading ML@GT Expands Natural Language Processing and Data Science Research with New Faculty Hires

Dellaert Wins Test of Time Award for a Second Time This Year

For the second time this summer, Frank Dellaert has been awarded a Test of Time Award. This time, the award comes from Robotics Science and Systems (RSS) and recognizes Dellaert’s papers, Square Root SAM and Square Root SAM: Simultaneous localization and mapping via square root information smoothing. The latter is co-authored by Michael Kaess, an… Continue reading Dellaert Wins Test of Time Award for a Second Time This Year

Van Hentenryck Transforms Theories into Products Used Worldwide

At the Machine Learning Center at Georgia Tech (ML@GT), we’re lucky to have over 150 faculty members affiliated with our mission. With faculty from all six colleges on Georgia Tech’s campus plus several from Georgia Tech Research Institute (GTRI) and the Enterprise Innovation Institute (EI2), our professors bring a broad range of skills and areas of expertise. Pascal Van… Continue reading Van Hentenryck Transforms Theories into Products Used Worldwide