Artificial Intelligence and Machine Learning are driving significant advances in operations across satellite networks. With increasingly complex networks and accelerating volumes of data, artificial intelligence and machine learning are shortening down time for outages, proactively detecting anomalies, and automatically recommending fixes. As the satellite industry evolves, these techniques will feature more prominently—not only in the cloud but also at the network edge, where individual sites are most vulnerable.
Dr. Eric Anderson
Eric Anderson is President of And One Technologies and an angel investor in emerging space and IoT. He has contributed to dozens of space products, missions, and programs within small and large companies, government and academia. He currently supports technology and business aspects of several space, near-space, and air system developments with an emphasis on the delivery of data and services via new technologies, channels, and business models.
As Chief Technologist for Space at Moog, he helped lead the company’s space business and collaborated with worldwide colleagues on business strategy, technology and innovation across multiple markets. Eric was part of the leadership team at the nationally-recognized small company CSA Engineering, serving several years as President. He earned BS, MS and Ph.D. degrees in Aeronautics and Astronautics at MIT, was on the technical staff at Jet Propulsion Laboratory, worked at Sikorsky Aircraft and serves as board chair for the Kenya-focused non-profit The Kilgoris Project.
Dr Gregory Falco
Dr. Gregory Falco is an Assistant Research Professor at Johns Hopkins University where his lab, the Autonomy OWL, focuses on matters of assured autonomy, space system cybersecurity, space habitation and future satellite capabilities. His work on space cybersecurity has been incorporated into national policy and he actively works with government agencies, the military and private companies to improve their space asset resilience. Dr. Falco completed his PhD at MIT in Cybersecurity and was previously listed in Forbes 30 Under 30 for his contributions to Enterprise Technology.
Prof. Akash Patel
Akash Patel is an Architect with Microsoft’s new Azure Space business where his role is to create the best cloud network management capabilities for Satellites and other Space related endeavors. His previous role as the Head of Artificial Intelligence programs for Lockheed Martin Space enables him to work with both commercial and government partners to better allow new AI and ML methods to propagate throughout customers mission areas. He is a PhD Candidate at University of Denver where his dissertation is on using a system of satellites, air, and water sensor data to better predict hurricane intensity and trajectory using Bi-Directional LSTM’s and other deep learning techniques. He received a Bachelors of Science from Purdue University in Aeronautical and Astronautical Engineering and a Masters of Science from University of Texas at El Paso.
Rich Waterman
Rich Waterman is a Vice President for Space Systems Integration for the Parsons Corporation. He is responsible for the execution and growth of space systems work for Parsons. He currently leads the $100M Launch Manifest Systems Integrator (LMSI) program, managing a team of employees and subcontractors to deliver small satellite mission manifest systems integration supporting the U.S. Air Force. Rich has supported national security, civil, and commercial space efforts for over 30 years including supporting the sale, integration, and launch of commercial and government payloads on American and Russian space launch systems working for companies including International Launch Services, Lockheed Martin, General Dynamics, and venture capital-funded organizations. Rich holds a Master’s and Bachelor of Science in Aerospace Engineering, from the University of Michigan.
Christopher Worley
Christopher Worley is director of Digital Innovation for Defense & Civil Solutions, a mission area of the Space & C2 Systems product line at Raytheon Intelligence and Space. He leads software development, Artificial Intelligence and Machine Learning, Digital Engineering and advanced digital technology incubation, development and transition for the mission area.
Prior to RI&S, Worley served in the U.S. Air Force for 25 years as an Intelligence Officer, most recently as the Defense Threat Reduction Agency Director of Intelligence and previously as the Air Force Technical Applications Center’s Commander. In these positions, and throughout his career as an Intelligence Weapons Officer, Worley advised Department of Defense executives on the spectrum of Intelligence, Surveillance and Reconnaissance technical capabilities, sensor operations and information technology integration.
Worley has extensive international experience across the inter-agency and with Congress. Specifically, he led operations in 59 different nations and worked directly with the United Nations, the International Atomic Energy Agency with Nuclear Weapon Treaty monitoring, and the development of Weapons of Mass Destruction counter-proliferation strategies.
In previous assignments, Chris was responsible for developing the Air Force’s first Wing-level technology innovation laboratory, establishing and commanding a signals intelligence squadron as an expansion of the Air Force Distributed Common Ground System, and leading requirements and assessments for the Under Secretary of Defense for Intelligence’s ISR Task Force.