Digital Transformation & Advanced Technologies

Transforming data into actionable information using advanced technologies.

We utilize our extensive understanding of the nation’s critical infrastructure and rapidly changing technology to enhance efficiency and provide bold, mission-oriented solutions.


In an age of rapid digital transformation, organizations must embrace advanced technology solutions to maintain a competitive advantage. At LST, we leverage cutting-edge practices and technologies in modeling and simulation to perform research and development tasks. Whether modeling aircraft performance through extensive analysis using big data, simulating aircraft encounters by applying genetic algorithms to mutate the temporal dimension, or applying Machine Learning (ML) algorithms to classify airports given a parameterized set of characteristics, we are equipped to handle the future challenges of aviation with innovative solutions. As Artificial Intelligence (AI) and ML rise to the forefront of data analytics, LST is ready to extract meaningful insights and inform business decisions by leveraging the vast swath of data from federal government agencies.


LST develops models and tools that support resiliency operations from planning through recovery. We help our customers improve processes and outcomes with real-time analytical tools that support decision-making. By implementing resiliency models and tools, organizations can more effectively prepare for and adapt to evolving threats to withstand and recover from deliberate attacks, accidental failures, natural disasters, and other service-impacting events. LST has developed key user interfaces for air traffic and technical operations personnel to provide real-time updates of infrastructure assets, coordinate air space transition, assess air travel’s impact, and generate status updates to keep stakeholders informed.


Our data science framework brings the tools, processes, and domain talent to turn data into information in a world flooding with data. Our framework uses statistics, data processing methods, processes, modeling and simulation, algorithms, AI, and ML from structured and unstructured data to understand and analyze operational events with data. Our interdisciplinary approach partners data scientists, IT systems, and functional domain experts to access data, validate data trustworthiness, define the operating context, and develop use cases. Our systems experts identify vital systems and authoritative data, while our operations team establish the operational context for the data. Applying our data science framework enables AI and ML tools to create predictive model designs to anticipate air traffic flow disruptions and allow airspace users to plan contingencies for irregular operations.


With a deep understanding of the National Airspace System (NAS) and Air Traffic Management (ATM) operations, we apply advanced AI and ML analytical techniques to demonstrate how FAA information services can be delivered over System Wide Information Management (SWIM). These information services inform operational decision makers to help understand challenges and improve ATM. The FAA’s goal of an Information-Centric NAS is evolving to integrate new airspace users, technologies, capabilities, and techniques for advanced probabilistic and predictive modeling. Improved modeling—informed by decision support tools and built on a foundation of advanced information exchange over SWIM—will enhance planning for air traffic operations to enable continuous NAS modernization. The application of AI/ML capabilities will support the optimization of vast NAS/ATM data through improved probabilistic and predictive modeling, enabling the transformation to info-centric operations.


Our air traffic operations experts perform research, engineering, and information architecture activities to help transition our nation’s critical infrastructure to a more info-centric NAS. Our robust understanding of the current NAS and Air Traffic Control (ATC) operations allows us to provide practical and innovative ideas that support integrating new operations and entrants into the NAS, including exploration, development, and maturation of products and execution of demonstration and validation exercises for changes needed across the operational landscape affected by Unmanned Aircraft System (UAS) operations. Crucial to the successful implementation of the functional changes is a holistic view across the UAS “domains” [UAS Traffic Management (UTM), Urban Air Mobility (UAM), Advanced Air Mobility (AAM), Upper Class E Traffic Management (ETM)] that considers the implications of planned NAS/ATM evolution for traditional operations and their supporting processes and procedures.


We apply the latest tools and processes to rapidly move government clients from analog processes to automated, digitized operational business solutions. Our staff has experience employing tool-centric automation and modernizing communication systems in real-time and back-office systems to provide a range of rapid solutions for the most challenging government concerns. We support new entrance integration into the NAS, investigating, analyzing, and developing technologies to convert analog communication to digital (machine-readable) information, defining methods and processes for automated systems to communicate with humans through verbal, textual, and graphical interactions.  This process brings alternate communication paths for remotely piloted and autonomous aircraft operations.