The Machine Learning Center at Georgia Tech (ML@GT) has recognized six Ph.D. students as its first ML@GT Fellows. The students – Mehrdad Ghadiri, Maksim Sorokin, Shixiang (Woody) Zhu, Sejoon Oh, Austin Xu, and Sajad Khodadadian – were selected based on their research projects that are focused on the advancement of machine learning (ML) and artificial… Continue reading The Machine Learning Center Awards Inaugural ML@GT Fellows
Scott Freitas, a third-year Ph.D. student in the Machine Learning Center at Georgia Tech (ML@GT) and the School of Computational Science and Engineering (CSE), has been named a 2021 IBM Ph.D. Fellowship Award recipient. Freitas’ research focuses on applied and theoretical machine learning with a strong emphasis on cybersecurity. This award will provide Freitas the… Continue reading ML Student Earns Prestigious IBM Ph.D. Fellowship Award
Andrew McRae, a Ph.D. student in the School of Electrical and Computer Engineering (ECE) has been recognized with the Colonel Oscar P. Cleaver Award for a second time. McRae is just one of two students to be a double Cleaver Award recipient. “A Ph.D. program is long and tedious and often seems futile. This award… Continue reading Machine Learning Student Earns Electrical Engineering Award for a Second Time
Machine learning Ph.D. students Joanne Truong and Andrew Silva have been recognized as 2021 Apple Scholars. The program honors the contributions of emerging leaders in engineering and computer science at the graduate and post-graduate level. Truong and Silva are members of the program’s second cohort and are the first Georgia Tech students to be awarded… Continue reading Two Ph.D. Students Recognized as 2021 Apple Scholars – A First for Georgia Tech Students
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
Two Georgia Tech machine learning Ph.D. students, Caleb Ziems and Kevin Tynes Jr., have been recognized as fellows of the National Science Foundation Graduate Research Fellowship Program (NSF GRFP). NSF GRFP recognizes outstanding students in NSF-supported STEM fields who are pursuing research-based master’s or doctoral degrees at an accredited United States institution. Ziems and Tynes… Continue reading Two Machine Learning Students Named 2021 NSF Graduate Research Fellows
Joanne Truong, a second-year robotics Ph.D. student, has been selected as a 2021 Adobe Research Fellow in the Intelligent Agents and Assistants area. Truong’s research focuses on the next generation of artificially intelligent agents in sim2real, robotics, and embodied artificial intelligence (AI) spaces. This research helps robots physically interact with their environments to improve human’s… Continue reading Robotics Ph.D. Student Named 2021 Adobe Research Fellow
Liyan Xie has been selected as a 2020 EECS Rising Star to attend an intensive workshop in November. The workshop is open to graduate students and postdoctoral researchers and is aimed at increasing the numbers of women interested in pursuing academic careers in electrical engineering, computer engineering, computer science (EECS.) Xie, a Ph.D. student in… Continue reading Student Selected for Competitive Workshop for Females in Engineering and Computer Science
Machine Learning Center at Georgia Tech (ML@GT) and School of Computational Science and Engineering (CSE) Ph.D. student Xinshi Chen is being recognized for her work in machine learning with a prestigious fellowship. Chen specializes in principled machine learning research with a focus on learning-based algorithm design and deep learning structured data. Her work has garnered the attention… Continue reading Google Awards ML@GT Student for Outstanding Machine Learning Research
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
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