Georgia Tech’s H. Milton Stewart School of Industrial & Systems Engineering (ISyE) welcomes four new faculty hires, who bring their knowledge and expertise to ISyE. These hires are H. Milton Stewart Associate Professor Mohit Singh, who served as a researcher at Microsoft Research prior to ISyE; Siva Theja Maguluri, who comes to ISyE from the IBM T.J. Watson Research Center; He Wang, who received his Ph.D. in operations research from MIT before joining iSyE; and Tuo Zhao, who received his Ph.D. in computer science from Johns Hopkins University before coming to ISyE.

About Mohit Singh

Mohit Singh joined ISyE as the H. Milton Stewart Associate Professor. Prior to this, he served as a researcher in the Theory Group at Microsoft Research in Redmond, Washington.

Singh’s research interests include discrete optimization, approximation algorithms, and convex optimization. His research is focused on optimization problems arising in cloud computing, logistics, network design, and machine learning.

Singh received the Tucker Prize in 2009 given by the Mathematical Optimization Society for an outstanding doctoral thesis “Iterative Methods in Combinatorial Optimization.” He also received the best paper award for his work on the traveling salesman problem at the Annual Symposium on Foundations of Computer Science (FOCS) in 2011.

Previously, Singh was an assistant professor at McGill University from 2010-2011 and a postdoctoral researcher at Microsoft Research, New England from 2008-2009. He obtained his Ph.D. in 2008 from Tepper School of Business at Carnegie Mellon University.

About Siva Theja Maguluri

Siva Theja Maguluri is an assistant professor in the H. Milton Stewart School of Industrial & Systems Engineering (ISyE) at Georgia Tech.

Maguluri's research interests are in the broad area of optimization and performance analysis of various stochastic systems, with a particular focus on scheduling and resource allocation problems for data centers, cloud computing, and communication networks. His research spans and uses tools and techniques from queuing theory, stochastic networks, control theory, game theory, stochastic processes, and optimization.

He received his Ph.D. in electrical and computer engineering in 2014 from the University of Illinois at Urbana Champaign. Prior to that, he earned two master’s degrees from the University of Illinois at Urbana Champaign – one in applied mathematics (2014) and one in electrical and computer engineering (2011). In 2008, he earned his B. Tech. degree in electrical engineering from the Indian Institute of Technology Madras.

Before joining Georgia Tech, Maguluri was a research staff member in the Mathematical Sciences Department at the IBM T. J. Watson Research Center.

About He Wang

He Wang is an assistant professor in ISyE.

His research interests are in the areas of revenue management, supply chain and logistics, and statistical learning. His current research focuses on the interface between machine learning and operations management, where he develops data-driven methods for applications including inventory management and dynamic pricing.

He is a finalist for the 2015 IBM Service Science Best Student Paper Award and a second-place recipient of the 2013 CSAMSE Best Paper Award.

Wang received his Ph.D. in operations research in 2016 and his M.S. in transportation in 2013, both from the Massachusetts Institute of Technology. In 2011, he received a B.S. in industrial engineering and a B.S. in math from Tsinghua University in China.

Tuo Zhao

Tuo Zhao is an assistant professor at ISyE.

His current research focuses on developing a new generation of optimization algorithms with statistical and computational guarantees as well as user-friendly open source software for machine learning and scientific computing.

Zhao received his Ph.D. degree in computer science at Johns Hopkins University (JHU) in 2016. He was a visiting student in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health from 2011 to 2012, and the Department of Operations Research and Financial Engineering at Princeton University from 2014 to 2016.

He was the core member of the JHU team winning the INDI ADHD 200 global competition on fMRI imaging-based diagnosis classification in 2011. He received the Siebel scholarship in 2014, a Baidu Fellowship in 2015-2016, and a Chinese Government Scholarship for Outstanding Graduates Abroad in 2016. Zhao was the co-recipient of the 2016 ASA Best Student Paper Award on Statistical Computing and the 2016 INFORMS SAS Best Paper Award on Data Mining.