Towards Eliciting and Analyzing Security Requirements Using Ontologies through Use Case Scenarios (Work-in-Progress). - Omar Ochoa; Jessica Steinmann; Yevgeniy Lischuk (ICSSA, 2018)

Generating Constant Screw Axis Trajectories With Quintic Time Scaling For End-Effector Using Artificial Neural Network And Machine Learning. - Aryslan Malik; Yevgeniy Lischuk; Troy Henderson; Richard Prazenica (CCTA, 2021)

A Deep Reinforcement-Learning Approach for Inverse Kinematics Solution of a High Degree of Freedom Robotic Manipulator. - Aryslan Malik; Yevgeniy Lischuk; Troy Henderson; Richard Prazenica (Robotics, 2022)