Nathaniel D. Bastian, PhD is a science, technology, engineering and mathematics (STEM) leader, researcher, and educator with specialization in computational methods, techniques and tools from artificial intelligence, operations research, data science,industrial/systems engineering, and economics to research, design, develop, test and deploy solutions to enable the improvement and enhancement ofdecision-making in the national security and defense domain. As a technical program manager, he is skilled in working with stakeholders to understand and define their requirements, planning and executing different phases of technology solution research, design, development and testing, leading and managing cross-functional technical teams while ensuring project and risk management for solution delivery. As an analytics and innovation professional, he has expertise in data-centric, decision-driven problem framing coupled with solution architecture and engineering for innovative product development while providing expert technical translation of actionable insights to enable effective descriptive, diagnostic, predictive and/or prescriptive decisions. He is an an author of 200+ refereed publications and a recipient of $8M+ in governmental research funding/grants. He is a Senior Member of IEEE and INFORMS, as well as an active member of MORS, ACM and AAAI.

DISCIPLINARY EXPERTISE

– Mathematical optimization, simulation, decision theory, machine/statistical learning, computational intelligence, statistical computing, information theory, network science, econometrics, production economics, systems design

RESEARCH INTERESTS

– Stochastic multi-objective optimization, sequential decision-making under uncertainty, and uncertainty quantification

– Neuro-symbolic artificial intelligence for representation, learning, inferencing, reasoning, and metacognition

– Security, robustness, resiliency, antifragility, and assurance of artificial intelligence enabled autonomous systems

– Artificial intelligence for cybersecurity, networking, and other C5ISRT applications in resource-constrained settings

Education History

  • B.S., Engineering Management (Electrical Engineering) w/ Honors, United States Military Academy
  • M.S., Econometrics and Operations Research, Maastricht University
  • M.Eng., Industrial Engineering, Pennsylvania State University
  • Ph.D., Industrial Engineering and Operations Research, Pennsylvania State University

Work Experience

Adjunct Professor, Johns Hopkins University