Syed Izhan Khilji
Research Scientist
MSc, BSc
i.khilji@dsg.tuwien.ac.at
+43 676 9854119
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About
Syed Izhan Khilji is a Research Scientist working on secure and reliable AI for critical infrastructure, with a particular focus on Internet-of-Energy systems. His research brings together adversarial machine learning and reinforcement learning to develop AI methods that are robust, reliable, and ready for real-world deployment. He is especially interested in approaches that combine learning-based models with physical and geometric constraints.
Syed holds an MSc in Computer Science from the University of Buckingham, UK (2024 - 2025), and a BEng in Intelligent Systems and Machine Learning from NED University of Engineering and Technology, Pakistan (2017 - 2021). He joined DSG in May 2026 through a Marie Curie Doctoral Fellowship within the SAILING Project.
Research Interests
- Adversarial Machine Learning for Critical Infrastructure
- Reinforcement Learning for large-scale optimization and control
- Physics-Informed Neural Operators
- Secure AI for Internet-of-Energy Systems
- Geometric Deep Learning on non-Euclidean manifolds
- Federated Learning and privacy-preserving ML
Doctoral Research Direction
Syed’s doctoral research investigates robust and secure AI methods for distributed energy systems. His work focuses on adversarial robustness under physical constraints, privacy-preserving collaborative learning in non-IID settings, and structure-aware learning over complex energy network topologies.
Thesis & Project Supervision
Students interested in topics that fit Syed’s research interests are welcome to contact him about Bachelor or Master thesis projects. He can (co-)advise theses in areas related to secure AI, adversarial machine learning, reinforcement learning, and Internet-of-Energy systems.