Vedhus Hoskere's current research interests are highly interdisciplinary, at the intersection of civil engineering, computer science and robotics. His doctoral work at the University of Illinois with Billie F. Spencer Jr. focused on developing artificial intelligence, machine learning and computer vision solutions for rapid and automated civil infrastructure inspection and monitoring. For his research toward automated post-earthquake building inspections, Hoskere received the Liu Huixian Earthquake Engineering Scholarship in 2018. 

ML/AI, Network Analysis models, Data Visualization, applied in the Energy, Maritime, Global Logistics, Homeland Security, and Political Science. · Time-series forecasting, Risk Management, Process Optimization, Data Scraping (web, social media, etc.) for Business,

Marketing, and Policy Analysis purposes. · Network Design for global supply chains - with applications in Energy, Maritime/Transport, and other industries. Multidisciplinary applications of Data Science & Data Analytics and the use of Python, R, Stata, etc.

Bayesian Inference, Data Mining, Natural Language Processing, Sentiment Analysis, Opinion Spam, and Web Mining.