His general areas of research are data mining, supply chain analytics, urban computing, and large scale optimization, with a focus on developing effective and efficient data mining techniques for emerging big data & supply chain applications. His ongoing research projects include intelligent transportation and logistics services, data-driven operations and supply chain management, supply chain network design and optimization, multi & omnichannel business. He has published prolifically in top venues of knowledge discovery and data mining.