Christoph H. Lampert

Christoph H. Lampert is a Professor at the Institute of Science and Technology Austria (ISTA), leading the Machine Learning and Computer Vision Group. His research focuses on creating robust, fair, and verifiable machine learning systems with strong theoretical foundations.

• Academic Rank: Professor (ISTA)
• Research Focus: Machine Learning, Computer Vision, Robustness, Fairness, Formal Verification
• Editorial Roles: Action Editor (JMLR), Former Editor (IJCV), Associate Editor-in-Chief (TPAMI)

His recent publications explore robust deep learning architectures, formal verification of neural networks, and fairness in multi-source learning environments. Research keywords span neural network design, algorithmic accountability, and structured data modeling.

Scientific achievements include:

• DARPA Disruptive Ideas award (2023)
• ISTA Alumni Award (2023)

He has mentored numerous PhD students including:

• Bernd Prach (2022 thesis: Robust image classification with 1-Lipschitz networks)
• Egor Zverev, Nikita Kalinin, Hossein (Qualifying Exam passed 2023-2025)
• Alex Peste (2023 thesis: Robustness and Fairness in Machine Learning)
• Mary Phuong (2021 thesis: Underspecification in Deep Learning)
• Amelie Royer (2020 thesis: Computer Vision applications)
• Alexander Kolesnikov (2018 thesis: Weakly-Supervised Segmentation)
• Alex Zimin (2018 thesis: Dependent data learning)