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TU Dresden
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Graduate School

The in-depth research-oriented training after the master's degree is a central activity area of SECAI. Due to the special, interdisciplinary orientation of the school, there are not only doctoral students but also so-called clinician scientists, who have already completed a doctoral thesis and whose goal in SECAI is a (first) major publication.

Each year SECAI hires a cohort of about ten doctoral students and clinician scientists, typically starting in September. Calls for the positions of the Graduate School are usually published in spring of the corresponding year. You can find them on our job portal when they are open. The school favors a “tight” three-year model for completing doctoral theses, but also understands that this plan may need adjustment due to interdisciplinary differences, e.g., clinician scientists finishing in two years, personal circumstances and professional causes.

In addition to the doctoral students and clinician scientists directly funded by SECAI, other AI researchers of comparable career stages will be integrated into the School. These associate members will be closely integrated scientifically and organizationally and will have access to all SECAI funding programs. In addition, SECAI networks with other thematically relevant graduate programs and implements joint activities.

Graduate School

Rajab Aghamov
Rajab Aghamov
supervised by Christel Baier, Markus Krötzsch
supervised by Ronald Tetzlaff, Stefanie Speidel
Topic: Temporal Explainability Methods for Surgical Skill Assessment, Concept Based Explainability, AI Alignment, Technical AI Safety
Max Beining
Max Beining
supervised by Jens Meiler, Christian Mayr
Julia Belyaeva
Julia Belyaeva
supervised by Jens Meiler, Sayan Mukherjee
supervised by Peter Stadler, Carsten Lutz
Topic: Learning the Rules of Molecular Design
Hoang Dao
Hoang Dao
supervised by Ivo Sbalzarini, Peter Stadler
Zdravko Dugonjić
Zdravko Dugonjić
supervised by Roberto Calandra, Stefanie Speidel
Deianira Fejzaj
Deianira Fejzaj
supervised by Thomas Mikolajick, Martin Bogdan
Tom Friese
Tom Friese
supervised by Bjoern Andres, Markus Krötzsch
Adnan Haidar
Adnan Haidar
supervised by Ronald Tetzlaff, Thomas Mikolajick
Max Haufe
Max Haufe
supervised by Roberto Calandra, Christian Mayr
Simon Hosemann
Simon Hosemann
supervised by Carsten Lutz, Sebastian Rudolph
supervised by Stefanie Speidel, Guido Montúfar
Topic: Multi-Modal Generative Artificial Intelligence for Computational Pathology and Precision Oncology
supervised by Stefanie Speidel, Bjoern Andres
Topic: Semantic Analysis of Surgical Videos
supervised by Markus Krötzsch, Sebastian Rudolph
Topic: Reliable and Robust Rule-Based Reasoning in Large-Scale Data Analysis
Charvi Jain
Charvi Jain
supervised by Jens Lehmann, Ivo Sbalzarini
Radhika Juglan
Radhika Juglan
supervised by Jakob Kather, Sayan Mukherjee
Jonas Karge
Jonas Karge
supervised by Sebastian Rudolph, Markus Krötzsch
Pascal Kettmann
Pascal Kettmann
supervised by Sebastian Rudolph, Carsten Lutz, Markus Krötzsch
Johannes Klier
Johannes Klier
supervised by Kristin Reiche, Jens Meiler
supervised by Markus Krötzsch, Carsten Lutz
Topic: Rule-based Reasoning in Knowledge Representation
Deniz Kucukahmetier
Deniz Kucukahmetier
supervised by Ivo Sbalzarini, Peter Stadler, Sayan Mukherjee
Tim Langer
Tim Langer
supervised by Christian Mayr, Stefanie Speidel
Charlotte Langer
Charlotte Langer
supervised by Stephanie Schiedermair, Sabine Müller-Mall
Toni Oestereich
Toni Oestereich
supervised by Jens Meiler, Christian Mayr
supervised by Kristin Reiche, Jens Lehmann
Topic: Integration of Structured Knowledge into Language Models for Cell Biology
Fatima Rani
Fatima Rani
supervised by Frank H.P. Fitzek, Ivo Sbalzarini, Stefanie Speidel
supervised by Jochen Hampe, Jakob Kather
Topic: Adaptive / Context Sensitive Data Provision in Mobile Applications
Maximilian Salomon
Maximilian Salomon
supervised by Peter Stadler, Sayan Mukherjee
supervised by Martin Bogdan, Peter Stadler
Topic: Spiking Neural Network Model of Homeostatic Affective Regulation
Jonas Schulz
Jonas Schulz
supervised by Frank H.P. Fitzek
Johnny Alexander Jimenez Siegert
Johnny Alexander Jimenez Siegert
supervised by Jens Meiler, Christian Mayr

Associated Researchers

Sophie Adama
Sophie Adama
supervised by Martin Bogdan
supervised by Ivo Sbalzarini
Johannes Busch
Johannes Busch
supervised by Roberto Calandra
Ella Cassidy
Ella Cassidy
supervised by Peter Stadler
supervised by Markus Krötzsch
Topic: Rule-based Reasoning, Formal Verification
Richard Golnik
Richard Golnik
supervised by Peter Stadler
Piotr Gorczyca
Piotr Gorczyca
supervised by Sebastian Rudolph
Ali Kanso
Ali Kanso
supervised by Jens Meiler, Jens Lehmann
Max Kirchner
Max Kirchner
supervised by Stefanie Speidel
Ken Nakahara
Ken Nakahara
supervised by Roberto Calandra
Fabian Naumann
Fabian Naumann
supervised by Bjoern Andres
Vasileios Ntinas
Vasileios Ntinas
supervised by Ronald Tetzlaff
Elaldi Onur
Elaldi Onur
supervised by Jens Meiler
supervised by Jens Meiler
Topic: Machine learning for structural biology and molecular design
supervised by Carsten Lutz
Topic: Logical Expressiveness of Graph Neural Networks
supervised by Frank H.P. Fitzek
Topic: Biocomputing and Synthetic Biological Intelligence with the Cortical Labs CL-1 for energy-efficient AI
Steffen Seitz
Steffen Seitz
supervised by Ronald Tetzlaff
Arina Shelashen
Arina Shelashen
supervised by Peter Stadler
supervised by Ivo Sbalzarini
supervised by Stefanie Speidel
Topic: 3D/4D scene perception and understanding in surgical scenes

Alumni

Moritz Hehl
Moritz Hehl
supervised by Max von Renesse, Guido Montúfar
Dominik Rusovac
Dominik Rusovac
supervised by Sebastian Rudolph, Markus Krötzsch
Carolin Schimmelpfennig
Carolin Schimmelpfennig
supervised by Kristin Reiche
Gregory Veldhuizen
Gregory Veldhuizen
supervised by Jakob Kather
Danush Kumar Venkatesh
Danush Kumar Venkatesh
supervised by Stefanie Speidel, Bjoern Andres
Christian Vielhaus
Christian Vielhaus
supervised by Frank H.P. Fitzek, Stefanie Speidel