Doctoral Candidates / Projects

Our approx. 50 doctoral candidates are at the heart of our graduate school. Get to know our doctoral candidates on their profiles below and learn more about their research projects. 

Additionally, the GSB Graduate Council is the voice of our doctoral candidates in academic administrative matters for the Graduate School of BioEngineering (GSB) at the Technical University Munich. We are the channel through which student concerns are brought to the attention of the project leaders, mentors and administrative staff of the GSB. 

It is essential that we hear the concerns of the doctoral candidates within the GSB, and we welcome any of your suggestions, comments or complaints!

Our current doctoral students representatives are Judith Zimmermann and Dhritiman Das. 
 
The Graduate School of BioEngineering (GSB) provides a highly stimulating environment for doctoral research. Our graduate centre attracts outstanding candidates from a variety of academic backgrounds. At the moment, the doctoral candidates are working on the following topics:

 

Afshari, Parastoo

Hybrid cellular Resolution optoacoustic and fluorescence multi-modal Imaging

Alberts, Esther

Multi-modal brain tumor segmentation and tumor texture quantification for tumor type classification

Ali, Zakiullah

Endoscopic Multimodal Biophotonic Imaging

Basak Chowhury, Kaushik

Modeling of ultrasound transducers for optoacoustic imaging

Baurecht, Hansjörg

Detecting Signals in Genomewide Association Studies 

Bild, Raffael

Differentially Private Processing of Biomedical Data

Busam, Benjamin

Pose Computation in Medical 3D Vision

Coello, Eduardo

Accelerated Magnetic Resonance Spectroscopic Imaging

Cömert, Suat

Mechanisms for a Continuum-Robot Type Motion of a Catheter or Guidewire

Das, Dhritiman

Next-generation compressed sensing techniques for a fast- and data- driven reconstruction of multi-contrast MRI 

Dionisio Parra, Beatriz

MR Imaging of the brain: Quantitative white matter metricsto study neurodegenerative disorders

Duliu, Alexandru 

3D muitispectrai reconstruction and visuahzation for skin cancer detection

Esposito, Marco

Collaborative Robotic Imaging

Feldotto, Benedikt

Biomimetic Learning with a Neurorobotic Infant Model 

Göbl, Rüdiger

Advanced ultrasound processing in neurosurgery

Golkov, Vladimir

Variational methods and deep learning for high-dimensional and non- Euclidean medical data 

Graf, Eva

Healthcare Robotics

Gutjahr, Ralf

Predevelopment of Multi-Energy Algorithms for Photon Counting Computed Tomography 

Hafalir, Fatih

Phase Contrast MRI for the Application of Cardiovascular Flow Measurement

Hariharan, Sai Gokul

Enhancement of Biomedical Images

Hehn, Nicolas

Development and Evaluation of an MRI spatial distortion correction tool for the PRONIA prognostic prototype 

Hundshammer, Christian

Multimodal tumor characterization using [18F]FDG-PET, hyperpolarized [1-13C]pyruvic acid mapping and pH in vivo mapping

Jang, Jihye

Cardiovascar MR imaging of scar and diffuse fibrosis in patients with ventricular arrhythmia 

Kubala, Eugen

13C Metabolic Magnetic Resonance Imaging with Hyperpolarized 13C- labelled Metabolics 

Lahiani, Amal

Enabling medical diagnosis in oncology using deep learning methods from digital pathology

Lautenschläger, Ronald

Pseudonymity in Translational Research 

Liu, Shufang

Modeling of Cardiac Motion Patterns by Reconstruction of Temporal Dynamic Deformation Sequences

Liu, Xin

Development of Silent Diffusion MR Acquisition Schemes with Reduced Distortion

Löb, Rebekka

Resolution modeling and anatomically regularized parametric reconstruction for simultaneous PET/MR data
  

Malekzadeh, Jaber

Development of Combined Ultrasound-Optoacoustic Endoscope and External Probe for Clinical Applications

Molina Romero, Miguel

Brain Tissue Microstructure Characterization with Diffusion and Relaxation MRI

Muhammad, Marwan

Investigation of Hyprid Ultrasound - Optoacoustic Imaging

Rempfler, Markus

Graph Inference in Biomedical Image Analysis

Rieke, Nicola

Assistive Computer Vision for Medical Interventions: Learning to Track Instruments in Real-Time

Rincón Domíguez, Teresa

Acquisition and reconstruction techniques for RF field (B1+) mapping integrating motion compensation for cardiac magnetic resonance imaging

Salehi, Mehrdad

Advanced Medical Ultrasound Imaging 

Schultheiß, Manuel

Machine Learning and Convolutional Networks Applied on Biomedical CT Data

Sekuboyina, Anjany Kumar

iBack: Individualized treatment planning in chronic back pain patients by advanced imaging and multi-parametric biomechanical models 

Shah, Amitkumar

Tracking and Navigation in Intra-operative Imaging 

Spengler, Helmut

Anonymisierung biomedizinischer Daten mittels statistischer Methoden 

Stefan, Philipp

Multidisciplinary Team OR Simulation: Training, Assessment, Technology Evaluation

Tetteh, Giles

Analyzing Vascular Networks extracted from clinical Magnetic Resonance Angiographic Images 

Ulas, Cagdas

Advanced Reconstruction Techniques for Perfusion MR Imaging

Vivar, Gerome

Deep Learning and Big Data Mining of Multimodal Imaging and Spatio-Temporal Sensor Data in Vestibular and Balance Disorders

Walter, Florian

Embodied Closed-Loop Learning in Neurorobotics. Applications of Neurobiological Mechanisms of Learning in Robot Cognition and Control

Weiss, Jakob

Real-Time Processing and Visualization of Live OCT Data for Augmented Reality Ophthalmology

Wolf, Johannes

Modelling of X-Ray Phase-Contrast Mammography 

Wu, Mingming

MR Thermometry Applications of MR Image Guided Therapy 

Wunner, Felix

Development of a holistic Additive-Manufacturing Technology Platform for Melt-Electrospinning 

Zimmermann, Judith

Quantitative image analysis of velocity encoded flow magnetic resonance Imaging in patients with congenital heart defects