Students13

• Vangjush Komini“Learning from Representation Geometry: Toward Robust Supervised and Unsupervised Learning”2026 · KTH · doctoral
• Harald Ng“Context-Aware Consensus for Efficient State Machine Replication”2026 · KTH · doctoral
• Edvin Listo Zec“Decentralized deep learning in statistically heterogeneous environments”2025 · KTH · doctoral
• Ahmed E. Samy“Representation Learning on Graphs”2025 · KTH · doctoral
• Amir Hossein Akhavan Rahnama“Evaluating the Faithfulness of Local Feature Attribution Explanations”2025 · KTH · doctoral
• Jin Yifei“Generalizable Representation for Wireless Networks Optimization through Native Graph Topology”2025 · KTH · doctoral
• Debaditya Roy“Towards Trustworthy Machine Learning For Human Activity Recognition”2024 · KTH · doctoral
• Lodovico Giaretta“Towards Decentralized Graph Learning”2023 · KTH · doctoral
• Stefanos Antaris“Enabling Enterprise Live Video Streaming with Reinforcement Learning and Graph Neural Networks”2022 · KTH · doctoral
• Sana Imtiaz“Privacy preserving behaviour learning for the IoT ecosystem”2021 · KTH · doctoral
• Amira Soliman“Graph-based Analytics for Decentralized Online Social Networks”2018 · KTH · doctoral
• Nuno Apolonia“On Service Optimization in Community Network Micro-Clouds”2018 · KTH · doctoral
• Muhammad Anis Uddin Nasir“Mining Big and Fast Data: Algorithms and Optimizations for Real-Time Data Processing”2018 · KTH · doctoral