Alexander Alexeev

Alexander Alexeev is a Senior Lecturer in Data Analysis and Modeling at the Paul H. O'Neill School of Public and Environmental Affairs, Indiana University, where he has taught since 2017. His academic background spans physics and public affairs, with dual doctoral degrees from Indiana University and Ukrainian institutions.

His educational credentials include:

• Ph.D. in Public Affairs, Indiana University, 2010
• MPA/MSES, Indiana University, 2003
• Ph.D. in Physics, Mechnikov Odessa State University (Ukraine), 1996
• Physics Diploma with Distinction, Mechnikov Odessa State University (Ukraine), 1986

Dr. Alexeev's research integrates quantitative methods across environmental policy and cybersecurity domains. He specializes in developing econometric models for risk assessment, particularly in environmental taxation systems and cyber-threat evaluation. His work emphasizes practical applications of benefit-cost analysis in decentralized governance structures and security investment frameworks.

His publication record (2012-2022) reveals a strategic focus on modeling complex policy interventions, with cybersecurity economics and environmental fiscal policy as dominant threads. Key contributions include extending foundational risk models like Gordon-Loeb for cyber investments and analyzing double-dividend effects in environmental tax systems, demonstrating consistent methodological rigor across interdisciplinary contexts.

Notable recognitions include:

• O’Neill Undergraduate Teaching Award (2023)
• Trustees Teaching Award (2019)
• Muskie Fellowship (2001-2003)

Dr. Alexeev contributed to the U.S. ARL Cybersecurity Collaborative Research Alliance project \"Models for Enabling Continuous Reconfigurability of Secure Missions\" (2014-2019), developing risk-assessment frameworks for mission-critical systems. His teaching portfolio spans graduate/undergraduate courses in statistical modeling and policy analysis, training students in quantitative methods without formal PhD advisee listings. Current research continues to bridge physics-derived modeling techniques with contemporary policy challenges in security and environmental economics.