Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering (ISyE) announced that Assistant Professor Siva Theja Maguluri has been appointed to a Fouts Family Early Career Professorship for a three-year term. Endowed by ISyE alumnus J. Louis Fouts (BIE 90), the Fouts Family Faculty Fund is designed to enhance the ability of ISyE to attract and retain eminent teacher-scholars.

Maguluri is a core faculty member of the Center for Machine Learning and the Decision and Control Laboratory at Georgia Tech, and his research interests span the areas of control, optimization, algorithms, and applied probability. He works on fundamental problems in queuing theory, stochastic optimization, distributed optimization, and reinforcement learning. He applies these tools for scheduling, resource allocation, and revenue optimization in a variety of systems including data centers, cloud computing, wireless networks, block chain, and ride-hailing systems. 

“I am honored to be appointed as a Fouts Family Early Career Professor, and I thank the Fouts family for their generosity,” said Maguluri. “The professorship will enable me to continue the research in our group on developing a Lyapunov theory of stochastic recursions, which provides a unified framework to study problems in seemingly different areas such as reinforcement learning, stochastic optimization, and cloud computing. 

“I am fortunate to have the opportunity to work with brilliant Ph.D. students in ISyE who will be supported by the professorship and will make fundamental contributions toward developing this theory. I also thank the ISyE faculty for their constant support,” he added.

Maguluri is also a passionate and creative instructor, and his pedagogical dedication was recently recognized when he received the Institute-level CTL/BP Junior Faculty Teaching Excellence Award.

He earned his Ph.D. in electrical and computer engineering in 2014 from the University of Illinois Urbana-Champaign. Before coming to ISyE, Maguluri was a research staff member in the Mathematical Sciences Department at IBM T. J. Watson Research Center.