Max Robotics — Global Service Robot Directory + US Certification

About

Matilda Nkoom is an emerging leader in cybersecurity, specializing in the security of the Internet of Robotic Things (IoRT). Her research focuses on fortifying interconnected robotic systems against sophisticated cyber threats, particularly Distributed Denial of Service (DDoS) attacks. Nkoom’s major contributions include pioneering the application of federated learning and differential privacy to IoRT security, enabling collaborative threat detection without compromising data privacy. Her comprehensive review on machine learning-based intrusion detection for IoRT, published in 2024, has already garnered 12 citations, establishing a foundational reference for the field. In her 2025 work, she advanced this approach by integrating differential privacy clustering, demonstrating how to secure robotic networks while preserving individual node confidentiality. Her investigations into Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Gated Recurrent Units (GRUs) for DDoS detection provide critical insights into optimal model selection for resource-constrained robotic environments. Nkoom’s innovative fusion of federated learning with privacy-preserving techniques positions her at the forefront of next-generation IoRT security, offering scalable solutions that balance robust defense with data sovereignty.