Thank You for Celebrating 50 Years of Systems and Information Engineering

Thank you to the alumni, students, faculty, staff, and friends who joined us on September 18–19 to celebrate 50 years of excellence, innovation, and impact in the Department of Systems and Information Engineering at UVA Engineering. We are grateful to everyone who helped make the anniversary weekend a meaningful celebration of our past, present, and future.

Why Systems Engineering at UVA

Systems Engineering at UVA combines systems thinking — a holistic focus on how interconnected parts influence each other — with a rigorous foundation in probability and statistics. We train students to identify, scope, and frame the right problem, not just solve predefined ones, a skill increasingly vital in an age of generative AI. Faculty bring real-world challenges into the classroom through year-long capstone experiences with industry and government clients, fostering a tight-knit community with flexible coursework spanning the humanities, other engineering fields, and study abroad. The program seeks to develop leaders prepared to shape the future.

Our discipline is deeply technical and built upon four interconnected areas: Human Technology Interaction, Operations Research & Analytics, Information & Intelligent Automation, and Systems Methodology. Students develop fluency in methods ranging from optimization and stochastic processes to machine learning, data engineering, and cognitive modeling — building the quantitative depth needed to tackle problems that no single engineering discipline can solve alone.

Explore Our Research

  • Operations Research and Analytics

    Focused on the development and application of analytical methods to improve decision-making by employing techniques such as modeling, statistics, and optimization to arrive at optimal or near-optimal solutions to decision-making problems.

  • Information and Intelligent Automation

    Exploring smart, intelligent, and automated technology and method development and innovative ways these intelligent systems can improve society.

  • Human Technology Interaction

    Involves the application of scientific principles, methods, and data drawn from a variety of disciplines to the design and development of engineering systems to facilitate the interaction between humans (the users) and technology.

  • Systems Methodology

    Advancing systems science and engineering: the study of how system components interact, and of the methods that ensure complex engineered systems deliver verifiable performance.

Greg Gerling and a graduate student in the lab

Our Research Labs & Groups

Our Systems labs span risk analysis, collaborative robotics, human-AI interaction, haptics, and health technology — applying rigorous methods to improve safety, resilience, and human well-being.