Dr. Terekhov’s primary research interests span across enterprise information, decision support systems, and include data science and machine learning applications in healthcare and financial technologies. Teaching experience includes undergraduate-level courses such as decision analysis, queueing, and project management.
His work is motivated by emerging practice and research issues in the industry, where Dr. Terekhov advanced as a performance-focused leader with a distinguished career driving the design and implementation of advanced analytical tools, including data capture, integration, analysis, and reporting solutions that generate actionable insights to enhance decision-making. Dr. Terekhov is skilled in collaborating with business, leadership, teams and other stakeholders to identify needs, define strategy, and guide the delivery of tools, systems, interfaces and analytics to measure performance against goals, identify trends, and respond immediately to new opportunities or business issues.
His research has been presented at Informs and POMS, published in Production and Operations Management journal, with multiple healthcare-related papers circulated in the official journal of the American Society of Anesthesiologists.
Additional research interests include Economics of Information Systems, Healthcare Analytics, Fintech, Social Media Analytics, Decision Support Systems, Data Science, Machine Learning, and Artificial Intelligence.