SMILE: Synchronized Multi-Sensor Integrated Learning Environment
Virtual image processing environment for research
PowerDué: Low Power and Time Sync for the IoT
CROSSMobile: Using Drones on Networks to Improve Infrastructure
1988 Ph.D., EECS, Massachusetts Institute of Technology
1982 MS, Computer Engineering, Syracuse University
1977 Bachelor of Engineering, EE, Youngstown State University
Communications technologies for monitoring the great outdoors
ECE’s Bob Iannucci has worked with the USGS building a low-power, wide-area wireless network (LP-WAN) platform that can be used to sense a host of environmental factors.
Teaching drones how to learn on the fly
Electrical and computer engineering (ECE) and CMU Silicon Valley Professor Bob Iannucci and ECE Ph.D. candidate Ervin Teng are asking how drones can mimic this behavior by becoming curious themselves. To do so, they are using machine learning and a simulation training tool to teach drones how to learn in real-time in what they call “autonomous curiosity.”
Drones in the Matrix
CMU-SV’s Bob Iannucci and his team are working on a number of projects to train drones through real-time deep learning.
The initiatives underway in the College’s departments embody the value we place on progress. Here are some of our current projects and prides.