cPacket is delighted to acknowledge and thank Christopher Paolini with the Department of Electrical and Computer Engineering at SDSU College of Engineering for our continued research collaboration on real-time, line-speed network anomaly detection methods. We have been collaborating with Dr. Paolini and his students for some time now and are impressed by their expertise and dedication. As part of this collaboration, Lukas Hadamik recently completed his Computer Engineering Master's thesis “Training and Deployment of Autoencoders for Network Anomaly Detection” as a joint San Diego State University and Bundeswehr University Munich student, which explored the challenges and opportunities of applying deep autoencoders for early detection of anomalies. We are delighted that data from our network observability and analysis products cClear®, cVu® and cStor® is being used to further research using AI and ML for network incident detection and look forward to continuing our collaboration and friendship in the future. #SDSU #EngineeringCollege #ComputerEngineering #NetworkVisibility #NetworkObservability