Next month, the Machine Learning Center at Georgia Tech (ML@GT) will host the inaugural ML@GT Lab Lightning Talks. Scheduled for Dec. 4, the event will feature 22 labs affiliated with the center.
Representatives from these labs will have the opportunity to share research interests, work, and unique aspects of their lab in three minutes or less to interested graduate students, faculty, and members of the public.
During the event, attendees will get a glimpse of ML@GT’s interdisciplinary nature while learning about labs focused on robotics, computer vision, optimization, forecasting, artificial intelligence, machine learning theory and more – all at lightning speed.
“Our faculty work across campus and across research interests. We hope that attendees will walk away with a better understanding of who ML@GT is, and potentially find a lab they’d like to collaborate with in the future,” said Irfan Essa, ML@GT executive director.
Participating labs include:
- Yao’s Group – Yao Xie, H. Milton Stewart School of Industrial Systems and Engineering (ISyE)
- Huo Lab – Xiaoming Huo, ISyE
- FLASH – Tuo Zhao, ISyE and School of Computational Science and Engineering (CSE)
- Financial Services Innovation Lab – Sudheer Chava, Scheller College of Business
- LF Radio Lab – Morris Cohen, School of Electrical Computing and Engineering (ECE)
- Polo Club of Data Science – Polo Chau, CSE
- Network Science – Constantine Dovrolis, School of Computer Science
- CLAWS – Srijan Kumar, CSE
- Rehg Lab – Jim Rehg, School of Interactive Computing (IC)
- Control, Optimization, Algorithms, and Randomness (COAR) Lab – Siva Theja Maguluri, ISyE
- Entertainment Intelligence Lab and Human Centered AI Lab – Mark Riedl, IC
- Social and Language Technologies (SALT) Lab – Diyi Yang, IC
- FATHOM Research Group – Swati Gupta, ISyE
- Zhang’s CompBio Lab – Xiuwei Zhang, CSE
- Statistical Machine Learning – Ashwin Pananjady, ISyE and ECE
- AdityaLab – B. Aditya Prakash, CSE
- OLIVES – Ghassan AlRegib, ECE
- Robotics Perception and Learning (RIPL) – Zsolt Kira, IC
- Eye-team – Irfan Essa, IC
- Mark Davenport, ECE
- Statistical Machine Learning for Imaging and Health – Jing Li, ISyE
- Law and Ethics – Deven Desai, Scheller College of Business
The event will be held from 2 to 3:30 p.m. ET on Dec. 4 via Bluejeans. Registration is required.
Allie McFadden | Communications Officer | email@example.com