Counter UAS Winter Summit
March 31 - April 02, 2020
| Washington D.C.
Focus Day
9:00 am - 9:50 am
Registration & Coffee
Grab a cup of coffee, and get to know your fellow attendees.
9:50 am - 10:00 am
CHAIRPERSON'S OPENING REMARKS
10:00 am - 11:00 am
AI-Enabled UAS Detection and Negation
Dr. Houbing Song -
Assistant Professor of Electrical Engineering and Computer Science,
Embry-Riddle Aeronautical University
• Building a network of wireless acoustic sensors to identify sUAS
• Using AI to distinguish between sUAS and other flying objects
• Computer-based “brain” called a neural network that is continuously learning and getting smarter at detection
Dr. Houbing Song
Assistant Professor of Electrical Engineering and Computer ScienceEmbry-Riddle Aeronautical University
11:00 am - 11:45 am
MORNING NETWORKING BREAK
11:00 am - 11:45 am
Acoustic Countermeasures v SWARMS and secondary use for IFF
Randall Nichols -
Professor of Practice, Director, Unmanned Aircraft Systems,
Kansas State University Polytechnic Campus & Professor Emeritus - Cybersecurity Utica College
• Local radar systems
• Integrated microphone / RF signature detection systems
• Acoustical systems for passive detection / offensive destruction
Randall Nichols
Professor of Practice, Director, Unmanned Aircraft SystemsKansas State University Polytechnic Campus & Professor Emeritus - Cybersecurity Utica College
12:45 pm - 1:45 pm
Networking Lunch
1:45 pm - 2:45 pm
Advances in Military Application of Laser Systems to Counter sUAS
Michael Cathcart, Ph.D., -
Principal Research Scientist,
Georgia Institute of Technology Atlanta
-Current directed energy platforms
-Research and development challenges
-Military application priorities
Michael Cathcart, Ph.D.,
Principal Research ScientistGeorgia Institute of Technology Atlanta
2:45 pm - 3:30 pm
Afternoon Networking Break
Hungry? So are we! Sit down to a tasty meal while discussing the topics so far and what’s to come in
the day.
3:30 pm - 4:30 pm
CUAS Security Performance Metrics and Requirements
John Russell -
R&d S&e, Systems Research And Analysis,
Sandia National Laboratories
• The metrics presented are based on an established methodology that has been applied to Detection and Neutralization of threats to High Security Applications for over 40 years
• The Performance Metrics feed into an analysis methodology to estimate security effectiveness of CUAS
• CUAS requirements will build from performance metrics, resulting analysis, and the amount of security risks and non-security risks decision makers are willing to accept.
