Team of Experts

Biography:

Dr. Alicia I. Ruvinsky, Ph.D., PMP, is a Research Computer Scientist with over 20 years of experience advancing Artificial Intelligence, data science, and machine learning across government, industry, and academia. At the U.S. Army Engineer Research and Development Center (ERDC) Information Technology Laboratory, she lead high-impact initiatives in predictive analytics, large language modeling, and cybersecurity, and helped define the laboratory's Cybersecurity Research Strategy. Her career is marked by a transition from early research in pro-social multi-agent systems to delivering mission-critical solutions for defense, including previous senior leadership roles at Lockheed Martin Advanced Technology Laboratories where she managed multimillion-dollar projects for DARPA, IARPA, and ONR.

A prolific researcher and innovator, Dr. Ruvinsky holds a patent pending in human-centric acquisition modeling and has authored over 20 peer-reviewed publications. Her work has earned prestigious honors, including the HENAAC/Great Minds in STEM Award, the Alex Baylot Award for leadership, and multiple Research and Development awards from ERDC and Lockheed Martin. Beyond her technical achievements, she is a dedicated mentor and advocate for STEM education, guiding international research collaborations and serving as a judge for national AI competitions. She remains committed to the responsible integration of AI into scalable, practical solutions for defense and society.

Personal Mission Statement: To lead with honesty and authenticity, leveraging my diverse background and experience to solve complex problems through creative strategy and confident execution.

Research Interest:

Dr. Ruvinsky's research focuses on the intersection of Artificial Intelligence and its practical application across military, civil works, and industrial sectors. She is particularly interested in developing innovative approaches to large-scale data analytics and modeling, with a specialized emphasis on enhancing the performance and resilience of air and ground military vehicles and strengthening cybersecurity frameworks. Central to her work is the study of human-AI interactions and teaming, where she seeks to optimize how humans and autonomous agents collaborate to improve situational awareness and facilitate complex decision-making in high-stakes environments.