8 citations · 13 across the 6 of their papers we have counts for
6 papers
ViSTR-GP: Online Cyberattack Detection via Vision-to-State Tensor Regression and Gaussian Processes in Automated Robotic Operations
Navid Aftabi, Philip Samaha, Jin Ma +3
Industrial robotic systems are central to automating smart manufacturing operations. Connected and automated factories face growing cybersecurity risks that can potentially cause i…
DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers
Navid Aftabi, Abhishek Hanchate, Satish Bukkapatnam +1
Industry 4.0's highly networked Machine Tool Controllers (MTCs) are prime targets for replay attacks that use outdated sensor data to manipulate actuators. Dynamic watermarking can…
Two-echelon Electric Vehicle Routing Problem in Parcel Delivery: A Literature Review
Nima Moradi, Niloufar Mirzavand Boroujeni, Navid Aftabi +1
Multi-echelon parcel delivery systems using electric vehicles (EVs) are crucial for managing urban logistics complexity and promoting sustainability. In multi-echelon systems, part…
Feed-Forward Neural Networks as a Mixed-Integer Program
Navid Aftabi, Nima Moradi, Fatemeh Mahroo
Deep neural networks (DNNs) are widely studied in various applications. A DNN consists of layers of neurons that compute affine combinations, apply nonlinear operations, and produc…
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
Navid Aftabi, Dan Li, Paritosh Ramanan
Cybersecurity of Industrial Cyber-Physical Systems is drawing significant concerns as data communication increasingly leverages wireless networks. A lot of data-driven methods were…
An Integrated Cyber-Physical Risk Assessment Framework for Worst-Case Attacks in Industrial Control Systems
Navid Aftabi, Dan Li, Ph. D. +2
Industrial Control Systems (ICSs) are widely used in critical infrastructures that face various cyberattacks causing physical damage. With the increasing integration of the ICSs an…