School Welcomes New Faculty Members
The School of Computer Science (SCS) has welcomed six new faculty members for the 2022-2023 academic year.
"It has been exciting to see these six new faculty members join our SCS family this year and contribute to advancing different research areas in our school," said SCS Chair and the Stephen Fleming Chair for Telecommunications Vivek Sarkar. “I have no doubt that they will have a deep impact on our School, College, and Institute in the years to come."
Suguman Bansal joined the School in spring 2023 as an assistant professor. Her research is focused on formal methods and their applications to artificial intelligence (AI), programming languages, and machine learning. Before joining Tech, Bansal was an National Science Foundation/Computing Research Association Computing Innovation Postdoctoral Fellow at the University of Pennsylvania. She completed her Ph.D. at Rice University.
Anand Iyer joined SCS in spring 2023 as an assistant professor. He is interested in the systems and networking space, with a current focus in systems that span the cloud, the network, and the edge in enabling efficient data analysis and machine learning. He received a Ph.D. in computer science from the University of California at Berkeley and spent time as a researcher at Microsoft Research.
Yingyan (Celine) Lin joined in fall of 2022 as an associate professor. She received a Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign in 2017. Her research includes algorithm or accelerator innovations for efficient machine learning systems. Lin leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations, from algorithm to architecture down to chip design, aiming to promote green AI and enable ubiquitous machine learning powered intelligence.
Will Perkins joined SCS in the fall of 2022 as an associate professor. Previously, he was faculty at the University of Illinois at Chicago, the University of Birmingham in the UK, and an NSF postdoc at Georgia Tech. His research interests generally include algorithms, statistical physics, and discrete mathematics.
Kexin Rong joined in fall of 2022 as an assistant professor. She received a Ph.D. in computer science from Stanford University in 2021 and a B.S. in computer science from the California Institute of Technology in 2015. She is interested in developing systems and tools to help simplify large-scale data analytics, i.e., making it easy for non-experts to use their large and complex datasets, by synthesizing techniques from data management, machine learning, and human-computer interaction. She is part of the Georgia Tech database group.
Jan van den Brand joined the School in fall of 2022 as an assistant professor. Previously, he was a postdoctoral researcher at UC Berkeley and the Simons Institute for the Theory of Computing. He received his Ph.D. in computer science from KTH and was awarded the EATCS and SMC Dissertation awards. His research is on the design and analysis of efficient algorithms and data structures with a focus on optimization and dynamic problems.
A wrongful arrest. A “racist robot.” A call for new laws.— Georgia Tech Computing (@gtcomputing) November 10, 2023
A @GeorgiaTech experiment trained a robot to seemingly act out racist behavior, to prove bias can exist in #AI. @MatthewGombolay opens up his lab to show where research can help address tough social issues. https://t.co/21F7IV0vbH pic.twitter.com/P3GD29lth1