Walid Gomaa — accepted AI-conference papers

2025

Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks

Ahmed Shokry, Walid Gomaa, Tobias Zaenker, Murad Dawood, Rohit U. Menon, Shady A. Maged +2

IROS 2025

Autonomous assembly is an essential capability for industrial and service robots, with Peg-in-Hole (PiH) insertion being one of the core tasks. However, PiH assembly in unknown environments is still challenging due to uncertainty in task parameters, such as the hole position and orientation, resulti

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2020

Detecting Adversarial Attacks In Time-Series Data

Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi

ICASSP 2020accepted

In recent times, deep neural networks have seen increased adoption in highly critical tasks. They are also susceptible to adversarial attacks, which are specifically crafted changes made to input samples which lead to erroneous output from such models. Such attacks have been shown to affect differen…

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