Ashwin Aravindakshan, PhD

Associate Professor Ashwin Aravindakshan's research focuses on optimizing advertising resource allocation across different regions and media over time. He studies dynamic advertising models and customer behavior dynamics to help managers improve communication and targeting strategies, ultimately optimizing marketing mixes at the individual level. His expertise includes advertising allocation and attribution models, direct-to-consumer marketing, customer loyalty dynamics, time series analysis in marketing, and spatiotemporal models. His work has been published in journals such as Marketing Science, Operations Research, and Journal of Marketing Research. He teaches courses in Marketing Management, Customer Relationship Management, and New Product Development. Aravindakshan earned his Ph.D. in business administration with a specialization in marketing from the Robert H. Smith School of Business at the University of Maryland in 2007, following a BTech in aerospace engineering from the Indian Institute of Technology in 2001.