Autonometrics was founded in 2014 to assist clients in taking a principled data-driven approach to the conceptual design, implementation, and operational assessment of autonomous systems. We specialize in using evidence-based analytics to inform the entire system life cycle of autonomous systems development.
To provide the best service to our clients, the founding staff has decades of experience working with autonomous vehicles, supervisory control of automated and autonomous systems, and advanced data mining techniques. With a strong foundation in cutting-edge research and experience in transportation, energy, and IT systems, Autonometrics is able to deliver solutions that will fulfill the needs of next-generation use of autonomous vehicles and systems.
Autonometrics uses evidence-based analytics to inform the entire system life cycle of autonomous systems development.
Mary L. Cummings Ph.D
Mary L. 'Missy' Cummings received her B.S. degree in mathematics from the United States Naval Academy, Annapolis, MD in 1988, a M.S. degree in space systems engineering from the Naval Postgraduate School, Monterey, CA in 1994, and a Ph.D. degree in systems engineering from the University of Virginia, Charlottesville, VA in 2004. A naval officer and military pilot from 1988 to 1999, she was one of the Navy's first female fighter pilots. She has held engineering faculty positions with the Engineering Fundamentals Department at Virginia Tech, the Aeronautics and Astronautics Department at the Massachusetts Institute of Technology, and is currently with the Department of Mechanical Engineering at Duke University, Durham, NC, and is the director of the Humans and Autonomy Laboratory. She has co-authored more than 200 peer-reviewed publications and serves on several national technology and policy committees.
Alexander J. Stimpson Ph.D
Alexander J. Stimpson received the B.S. degree in biological engineering from the University of Florida, Gainesville, FL in 2007, and the M.S. and Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology (MIT), Cambridge, MA in 2011 and 2014, respectively. He is currently a postdoctoral associate in the Department of Mechanical Engineering at Duke University, Durham, NC. He specializes in the application of machine learning models to complex data sets involving human-machine interaction. His current research interests include human supervisory control, decision support systems, artificial intelligence, and data mining.
Sarah A J Russell MBA, MSc
Sarah A J Russell received her BSc in Geology from Durham University, UK in 1994, an MSc in Mining Geology from the Camborne School of Mines, UK in 1995 and an MBA from Curtin University, Australia in 2006. Sarah is the Director of Autonometric’s Australian business and is motivated to apply world-class Human Systems Integration practices to improve the efficiency and effectiveness of their clients’ automation and remote operations efforts. She has spent 20 years working in the mining industry with Rio Tinto, one of the world’s leading diversified mining companies. Most recently, she was a senior leader within Rio Tinto’s Innovation Group, responsible for devising and implementing the company’s Mine of the FutureTM vision, which includes automating multiple elements of the company’s value chain. Prior to this, she held senior positions in various parts of Rio Tinto’s business, including its Iron Ore’s Operations Centre, Procurement, External Affairs, Mining Executive to the Iron Ore CEO, Mine Geology and Exploration.