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May 2021

ML@GT Buzz


The Machine Learning Center Celebrates Its First Class of Graduates

This spring the ML@GT will honor its first graduating class. The three graduates - Cyrille Combettes, Harsh Shrivistava, and Haoming Jiang – will be the first students awarded a doctorate degree in machine learning from Georgia Tech.


This New Tool Can Track the Environmental Cost of Your Machine Learning Model

Researchers at Georgia Tech have rolled out a new tool that tackles sustainability, reproducibility, and accountability at once. Read more about EnergyVis, the machine learning energy consumption tracker.

Meet ML@GT: Woody Zhu

Fourth-year ML Ph.D. student Woody Zhu uses data to help police departments better serve their communities and would love to travel back in time to witness the Apollo 11 landing. Learn more about Woody in this month's edition of Meet ML@GT.

Isbell Named Member of the American Academy of Arts & Sciences

What do Martin Luther King Jr., Oprah Winfrey, Albert Einstein, and College of Computing Dean Charles Isbell have in common? They are all members of the American Academy of Arts & Sciences! Congratulations, Charles!

Two Ph.D. Students Recognized as 2021 Apple Scholars — A First for Georgia Tech

Congratulations to ML@GT Ph.D. students Joanne Truong and Andrew Silva on being named 2021 Apple Scholars. Truong and Silva are members of the program’s second cohort and are the first Georgia Tech students to be awarded the scholarships.

Van Hentenryck Wins Institute Awards for Pedagogy

ML@GT and ISyE's Pascal Van Hentenryck has received the 2021 Teaching Excellence Award for Online Teaching. Due to Covid-19, Van Hentenryck successfully shifted his courses online in addition to a CS summer camp for middle & high school students. With this win, Van Hentenryck will be Georgia Tech's nominee for the Regents’ Teaching Excellence Award from the University System of Georgia. He has also been the recipient of many teaching honors, including the 2020 Student Recognition of Excellence in Teaching: Class of 1934 Award.

Celebrating Asian American and Pacific Islander Heritage Month

May is Asian American and Pacific Islander Heritage Month and we are honored to celebrate the AAPI community in ML@GT. Check out the ML@GT alumni, faculty, and current students who are featured in the College of Computing's Creating the Next Generation celebration.


Nine Machine Learning Faculty Members Win Teaching Awards

Nine ML@GT faculty members were honored with an award for teaching excellence. Congrats Siva Theja Maguluri, Pascal Van Hentenryck, Matthieu Bloch, Matthew Gombolay, Swati Gupta, Jake Abernethy, Kishore Ramachandran, Shihao Yang, and Cassie Mitchell!

Two Machine Learning Students Named 2021 NSF Graduate Research Fellows

ML@GT Ph.D. students Caleb Ziems and Kevin Tynes Jr. were selected as fellows of the National Science Foundation Graduate Research Fellowship Program. Their research explores issues like cyberbullying and mRNA drug delivery.


Students and Faculty Honored at College of Computing Awards

Several ML@GT students and faculty were recognized at the 30th Annual College of Computing Awards. Congratulations all!

Dissertation Awards:
- Abhishek Das (advisor: Dhruv Batra)
- Minsuk Kahng (advisor: Polo Chau)
- Sanidhya Kashyap (advisor: Taesoo Kim)
- Honorable Mention: Samira Samadi (advisor: Santosh Vempala)

Outstanding Graduate Research Assistant Award:
- Erik Wijmans (advised by: Irfan Ess and Dhruv Batra)
- Zongchen Chen (advised by: Erica Vigoda)

Outstanding Graduate Teaching Assistant Award:
- Ari Schlesinger (advisor: Annie Antón)

Outstanding Junior Faculty Award:
- Diyi Yang

Faculty Mentor Award:
- Vivek Sarkar

Researchers Present Eight Papers at Top ML and Statistics Conference

Last month, ML@GT presented eight papers at AISTATS. One paper was accepted as an oral presentation, an accomplishment that only 3.1% of more than 1,500 accepted papers achieved.

Student Awarded Fellowship to Enhance AI in Fintech Transparency

Haekyu Park has won the 2021 JP Morgan AI Research Ph.D. Fellowship. Park received the award for her human-centered approach to increasing machine learning interpretability.

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