Francis daCosta founded and acted as CTO for MeshDynamics (wireless mesh networking), Advanced Cybernetics Group (embedded software for robot control systems and other mission-critical military applications), and Knowmadic (web-based big data extraction).
Previously, he served as an adviser to the United States Air Force Robotics and Automation Center of Excellence (RACE). He also held senior technical positions at MITRE, Northrop Grumman, Ingersoll-Rand, and Xerox. His entrepreneurial projects have also included autonomous robotic systems and adaptive process controllers.
Mr. daCosta has a MS from Stanford University and a BS from the Indian Institute of Technology, along with post-graduate work in artificial intelligence at the University of California, Los Angeles. He is currently involved in a stealth-mode Internet of Things start-up and has authored or co-authored 15 patents incorporating a variety of technology innovations including adaptive control, self-healing mesh networks, sensor fusion, machine learning, distributed control, and automatic robot programming. His intellectual interests include machine intelligence, subsumption architectures, emergence, and consilience.
Room: N-123 | Time: 5:00pm - 5:50pm
The only systems on earth that have ever scaled to the size and scope of the Internet of Things are natural systems: pollen distribution, ant colonies, redwoods, and so on. From examining these natural systems, I developed the concept of the three-tiered IoT network architecture described in the book: simple end devices, networking specialist propagator nodes, and information-seeking integrator functions operating within an organically grown ecosystem. I hope that you’ll read my explanation of why terse, self-classified messages, networking overhead isolated to a specialized tier of devices, and publish/subscribe relationships are the only way to fully distill the power of the coming Internet of Things. And I hope especially for your feedback, pro and con.