Indy is a world leader in inventing and implementing novel systems techniques that make distributed systems more reliable, predictable, and manageable. These include contributions and interests in both: a) core Distributed Systems topics, as well as b) Distributed Systems + X topics. Core distributed systems topics include batch processing, stream processing, and distributed storage---in all these areas his work has solved problems faced by open-source distributed systems used widely in industry. In the past he has worked on peer to peer systems, and nature-inspired distributed systems. Distributed Systems + X topics include collaborations and research results in Distributed Machine Learning, Distributed Systems + IoT, verification of Distributed Systems, and others. Prof. Gupta also collaborates with industry, contributing to their production systems as well as helping shine light on their production systems. His research results are in use by multiple prominent companies. Prof. Gupta runs one of the most diverse groups in the CS department---about 50% of his PhD students are women.