Lecture Series “Robust AI”: Tarek Gaber

The next lecture in out lecture series will be given by Tarek Gaber (University of Salford / UK) on the topic of “Adversarial Machine Learning in Real-Time Systems: Challenges and Defenses for Sensor-Driven AI”.

When & where: June 26, 4:15 pm – 6pm, at Hochschule Bielefeld (HSBI), auditorium D2 or online, link: https://hsbi-de.zoom-x.de/j/61049139324

Abstract: Adversarial attacks on AI models threaten the integrity of sensor-driven and time-series systems embedded in critical infrastructure, including smart grids, autonomous platforms, and industrial IoT. This talk examines vulnerabilities across the machine learning lifecycle, from training-time data poisoning to test-time adversarial perturbations. Drawing on recent work in adversarial-aware learning and synthetic attack generation, we explore defense strategies suited to real-time, resource-constrained environments. Emphasis is placed on the temporal complexity and structural nuances of sequential data. Attendees will gain insights into robust model design, adaptive mitigation techniques, and open research challenges in securing AI-enabled cyber-physical systems.

Bio: Tarek Gaber is a Senior Lecturer (Associate Professor) in Cyber Security and Artificial Intelligence at the University of Salford (UK) and a Visiting Professor of Computer Science at Suez Canal University (Egypt). He previously served as Programme Leader for the MSc Cyber Security programme at Salford. His research focuses on developing resilient AI models, secure digital infrastructures, and applied AI solutions for industry and public sector transformation. Dr. Gaber has authored over 120 scholarly publications—including journal articles, conference papers, book chapters, and edited volumes—with more than 40 published in Q1 journals. He has led or co-led research projects totalling over £7 million, funded by Innovate UK, GCHQ, Research England, and UKAEA. He has contributed to several Knowledge Transfer Partnerships (KTPs) and collaborated with SMEs on deploying secure, explainable AI in real-world settings. His work integrates cybersecurity, AI robustness, and interdisciplinary innovation across critical domains.