Find Academic Supervisors

• Differential-algebraic Equations
• Systems and Control Theory
• Data-driven Modelling
• +3 more

Jan Heiland is a Lecturer at Technische Universität Ilmenau and a researcher at the Max Planck Institute for Dynamics of Complex Technical Systems (MPI Magdeburg). His primary affiliation is with the working group on Optimization-based control at TU Ilmenau. He holds a PhD in Applied Mathematics from TU Berlin. **Research Interests**: He specializes in Differential-algebraic Equations, Systems and Control Theory, Data-driven Modelling, and Flow Control. His work bridges applied mathematics with engineering, focusing on nonlinear systems, model reduction, and computational methods for fluid dynamics. **Grants & Projects**: He leads or contributes to projects like LPV Approximations for Nonlinear Controller Design, MaRDI (Mathematical Research Data Initiative), and the Research Training Group MathCoRe. Collaborations include work with Philips on MRI Fingerprinting and projects on DMD models for flow problems. **Teaching**: Current courses include Numerical Solutions of Partial Differential Equations and Scientific Computing 1. Past courses cover Numerical Methods and Computational Mathematics. **Key Contributions**: His research emphasizes low-dimensional modeling, robust controller design for large-scale systems, and the integration of machine learning techniques. Notable publications focus on autoencoder-based reduced-order modeling and Riccati equation solutions.

Sebastian WernerView profile

Professor

• Serverless Cloud Computing
• Distributed Cloud Applications
• Sustainability in Distributed Systems
• +3 more

Dr.-Ing. Sebastian Werner is an Acting Professor leading the SWK research group at the University of Hamburg (UHH) since October 2024. He holds a PhD from TU Berlin's Information Systems Engineering group and has extensive experience in postdoctoral research and teaching. His academic focus lies in serverless computing, distributed systems, and cloud-native architectures. He teaches modules such as SE 1, SEE, and SWA at UHH, ensuring continuity in the SWK group's educational offerings. Research Interests: Sebastian’s work emphasizes sustainability, maintainability, and trustworthiness in distributed architectures. He has contributed to EU projects like TEADAL and DITAS, exploring cloud continuum data management and serverless platforms. His dissertation, 'Serverless Data Processing: Application Platform (Co-) Design,' highlights his expertise in scalable computing solutions. Key Projects: Includes the BMBF-funded SMILE project (2020), focusing on serverless migration and cloud application measurement. His research spans fog computing, blockchain-based systems, and edge performance benchmarking. Awards: Received the BMBF Software Campus - SMILE project award in 2020. Grants & Collaborations: Active in EU-funded initiatives and industry collaborations, such as the Gaia-X 4 Future Mobility project. His team at SWK includes researchers like Stephanie Schulte, Leif Bonorden, and Alireza Hakamian.

Daniel GoldmannView profile

Professor

• Recycling Technology
• Resource Efficiency
• Waste Processing
• +2 more

Daniel Goldmann is Professor for Raw Material Processing and Recycling at Technische Universität Clausthal, where he also serves as Scientific Director of CUTEC Environmental Technology Research Institute and chairs the Recycling Cluster for Strategic Metals (REWIMET). He holds engineering degrees from TU Clausthal (Diploma 1989, PhD 1992). Research focuses on advanced resource recovery technologies across waste streams, with particular expertise in: Electrochemical treatment systems Bioelectrochemical energy recovery Sludge processing and nutrient recycling Circular economy implementation Industrial wastewater management Goldmann coordinates major research initiatives including BMBF-funded projects on resource efficiency and leads development of the Recycling 4.0 framework for digitalized resource management. His work bridges fundamental research and industrial application through collaborations with companies globally. Honors include: ÖkoGlobe Award (2007) European Business Award for the Environment (2006) BDI Environmental Award for Industry (2005) Volkswagen Research Prize (2001) Publications demonstrate continuous innovation in: Electrode material development Process intensification strategies Resource recovery from complex matrices Industrial symbiosis models

• Virtual Reality
• Human-Computer Interaction
• Educational Technology
• +3 more

Christoph W. Borst is a professor at the University of Louisiana at Lafayette, USA, specializing in Virtual Reality (VR) and Human-Computer Interaction (HCI). His research focuses on enhancing educational VR environments through attention guidance, emotion recognition, and multimodal sensing (EEG, eye-tracking). He collaborates with researchers like Jason Woodworth, Adil Khokhar, and Arun Kulshreshth on projects involving spatial interaction, distraction classification, and pedagogical agents. His work includes developing time-continuous emotion rating interfaces, gaze-driven attention restoration systems, and VR tools for teaching molecular reactions and geosciences. Key publications address VR classroom monitoring, collaborative dataset exploration, and haptic feedback optimization for precision tasks. Articles highlight applications in rehabilitation, energy education, and simulated welding training. Research interests span VR attention mechanisms Emotion detection in immersive environments Machine learning for student distraction classification Interactive 3D visualization techniques

Anirban MukhopadhyayView profile

Researcher

• Medical AI
• Image-guided Surgery
• Medical Image Segmentation
• +3 more

Anirban Mukhopadhyay is a leading researcher in Medical AI at TU Darmstadt, Germany, heading the Medical & Environmental Computing (MEC-Lab). His work focuses on developing AI systems for image-guided diagnosis and surgery. He collaborates with RACOON, a consortium of 38 German hospitals, and hosts the AI-Ready Healthcare podcast. His research spans neural cellular automata (NCA), federated learning, and medical image segmentation. Key projects include: MEC-Lab : Specializes in assistive AI for healthcare, emphasizing bio-inspired algorithms and low-power device applications. RACOON : Combats COVID-19 through AI-driven radiology collaboration among German hospitals. Publications : Over 100 peer-reviewed papers on medical imaging, surgical robotics, and AI ethics, with a focus on NCA-based solutions and federated learning frameworks. Research interests emphasize: Medical image segmentation (e.g., Med-NCA , GAUDA ) Continual learning for evolving medical data AI ethics and human-AI collaboration in clinical settings His work bridges theoretical advances (e.g., NCA) with practical applications in surgery, radiology, and pathology. Recent trends show a focus on edge computing, robustness in AI systems, and interdisciplinary collaboration with clinicians.

• Electrochemical Energy Storage
• Fuel Cells and Electrolyzers
• Renewable Energy Systems
• +3 more

Prof. Richard Hanke-Rauschenbach is a Professor at Leibniz University Hannover, leading the Section of Electrical Energy Storage Systems within the Faculty of Electrical Engineering and Computer Science. He holds key roles including Executive Director of the Electrical Energy Storage Systems Section, Chairperson of the Power Engineering Admissions Board, and member of the Executive Board of the Leibniz Research Centre Energy 2050. His research focuses on electrochemical energy storage, particularly in proton exchange membrane water electrolysis (PEMWE), fuel cell technologies, and hydrogen systems. He also contributes to energy system modeling, materials science for energy applications, and decarbonization strategies. Research interests include catalyst optimization, membrane durability, and system integration of renewable energy storage. His work addresses challenges in hydrogen production efficiency, degradation mechanisms in electrochemical cells, and large-scale energy infrastructure. He collaborates with the Laboratory of Nano and Quantum Engineering and leads initiatives in the Leibniz Research Centre Energy 2050. Publications highlight advancements in PEMWE cell performance, material characterization, and hydrogen-powered aviation. His interdisciplinary approach bridges electrochemistry, materials engineering, and system-level energy solutions. Current projects explore low-carbon steam generation, green hydrogen supply chains, and flexible heat supply systems for Germany's energy transition. Prof. Hanke-Rauschenbach actively participates in academic governance, serving on faculty councils and examination boards. His lab's activities include developing novel electrolyzer designs, predictive maintenance algorithms for energy systems, and computational tools for stack performance analysis.

Jonas NicodemusView profile

Researcher

• Port-Hamiltonian Systems
• Model Order Reduction
• System Identification
• +3 more

Jonas Nicodemus is a doctoral researcher at the University of Stuttgart, specializing in data-driven modeling and control theory for complex physical systems. His work focuses on port-Hamiltonian systems , model order reduction , and physics-informed machine learning . Education: M.Sc. in Engineering Cybernetics, University of Stuttgart (2021) B.Sc. in Engineering Cybernetics, University of Stuttgart (2018) His research develops structure-preserving methods for system identification and control, including energy-matching techniques for reduced-order models and enhanced PINNs for mechanical systems. Key publications address stability preservation in dynamic mode decomposition and control strategies for multi-link manipulators. He contributes to open-source projects like PortHamiltonianSystems.jl and PortHamiltonianModelReduction.jl , emphasizing reproducibility and computational efficiency.

• Automation Technology
• Industrial Automation
• Energy Systems
• +6 more

Professor Alexander Fay is a faculty member at Ruhr University Bochum, leading the Automation Engineering department within the Faculty of Electrical Engineering and Information Technology. His roles include Head of Department and a prominent researcher in automation technology, Industry 4.0, and cyber-physical systems. Educated at TU Braunschweig, he has extensive industry experience from ABB and academic leadership at HSU/UniBw Hamburg. His research focuses on automation systems, energy optimization, and autonomous robotics, with notable contributions in digital twin frameworks, agent-based control, and industrial data management. He has been honored with awards such as the MIT Review's 'Top 100 Young Innovators' and the Golden Badge of Honour from NAMUR. His work integrates interdisciplinary approaches, emphasizing practical applications in manufacturing, energy systems, and aerospace maintenance. Key collaborations include projects on modular electrolysis plants and U-space drone traffic management. His academic output spans over 70 publications in top-tier journals and conferences, reflecting expertise in automation theory and industry-relevant solutions.

• Infection Biology
• Microbial Adhesion
• Biophysics
• +3 more

Jan Philipp Jung is an infection biologist leading a research group on host-pathogen interactions and microbial adhesion at Saarland University's Institute for Medical Microbiology and Hygiene since 2021. He holds a Dr. rer. nat. in medical microbiology (2017) and studied biotechnology at Kaiserslautern University. His work focuses on biophysical mechanisms of microbial adhesion to biotic and abiotic surfaces, utilizing atomic force microscopy (AFM) techniques like single-cell force spectroscopy and elasticity mapping. Key research topics include Giardia duodenalis adhesion mechanisms, Staphylococcus aureus colonization of medical devices, and Candida albicans interactions with tooth enamel. He collaborates in the Collaborative Research Center 1027 and the SPP 2332 PoP consortium. His group investigates diverse pathogens (bacteria, fungi, protists) and develops data-driven models for 'virtual parasites.' Education: PhD in Medical Microbiology (Saarland University, 2017); MSc Biotechnology & Bioprocess Engineering (Kaiserslautern University) Research Focus: Adhesion biophysics, host-pathogen interfaces, AFM-based techniques Publications span microbial adhesion quantification, SARS-CoV-2 diagnostics, and cancer-cell functionality. His lab (Jung Group) emphasizes translational insights into infection biology and biomedical applications.

Fiete WinterView profile

Researcher

• Acoustic Engineering
• Signal Processing
• Spatial Audio
• +3 more

Dr.-Ing. Fiete Winter is a Researcher at the Institut für Nachrichtentechnik under the Fakultät für Informatik und Elektrotechnik at Universität Rostock. His work focuses on Spatial Audio , Wave Field Synthesis , and Binaural Synthesis , with contributions to acoustic modeling, array design, and open-source tool development. He is a key contributor to the Two!Ears project, which emphasizes reproducible research and acoustic database creation. His research interests include sound field reconstruction , spatial aliasing analysis , and time-domain rendering techniques . He has developed open-source tools for sound field synthesis and contributed to the Two!Ears Database of binaural room impulse responses. His work often bridges theoretical models (e.g., geometric analysis, modal beamforming) with practical implementations in real-time systems. Recent publications highlight advancements in loudspeaker array design, spatial bandwidth limitation, and psychoacoustic evaluation of synthesized sound fields. His interdisciplinary approach integrates signal processing, psychoacoustics, and acoustic engineering to address challenges in immersive audio systems.

Alexander RiedelView profile

Researcher

• Business Process Management
• Finance Transformation
• Shared Services Optimization
• +3 more

Dr. Alexander Riedel is a researcher specializing in business process optimization, finance transformation, and shared services. He has contributed to academic publications focusing on governance frameworks, performance management, and strategic sourcing. His work frequently addresses challenges in cross-border operations, organizational restructuring, and digital transformation. Research Focus: Riedel’s research explores how organizations can enhance operational efficiency through shared services models, effective governance, and process quality. His studies often intersect with global finance systems, cross-border taxation, and the application of technology in business processes. Publications Overview: His articles and edited volumes analyze contemporary trends in shared services, future-proofing business processes, and adapting to the digital age. Key themes include organizational performance metrics, cross-functional collaboration, and strategic capabilities for modern enterprises. Labs/Teams: No specific lab or team affiliations explicitly mentioned in the provided texts.

Majd LatahView profile

Researcher

• Security of mission-critical systems
• Software-defined networking
• Decentralized security
• +3 more

Dr. Majd Latah is a Researcher (Postdoc) at the Department of Informatics, University of Hamburg, working under Prof. Mathias Fischer. His research focuses on cybersecurity for mission-critical systems, software-defined networking (SDN), and blockchain integration in network security. He holds a PhD from Ozyegin University. Key research areas include secure aircraft systems, decentralized security frameworks, and digital twin networks. His work emphasizes blockchain-based authentication protocols (e.g., HostSec, DPSec) and hybrid intrusion detection systems for SDNs. He has collaborated on projects like DTN-Core and CWT-DPA, addressing cross-domain authorization and distributed security challenges. Latah has published extensively on SDN security, blockchain applications, and AI-driven network optimization. His contributions span both theoretical frameworks (e.g., AI-enabled SDN overviews) and practical implementations (e.g., DoS attack detection systems). Affiliations include the Computer Networks research group at UHH, where he contributes to lab activities and team projects. His educational background includes studies at Ozyegin University under Dr. Kübra Kalkan.

Hana AlgülView profile

Professor

• Pancreatic Cancer
• Tumor Metabolism
• Cancer Immunology
• +3 more

Prof. Hana Algül is a Professor at the Technical University of Munich (TUM), leading the Chair of Tumor Metabolism within the TUM School of Medicine and Health. She holds a dual background in clinical medicine and scientific research, having earned degrees from the University of Ulm and the University of California Davis. Since 2003, she has served as a Clinician Scientist at TUM's Klinikum rechts der Isar, focusing on pancreatic cancer mechanisms and translational research. Her academic career includes key roles in clinical trials (e.g., NEONAX) and drug development. Her research emphasizes tumor metabolism's role in pancreatic cancer progression, particularly autophagy regulation, immune-tumor interactions, and cachexia pathways. She investigates carcinogenesis triggers and immune modulation strategies, aiming to identify novel therapeutic targets. Notable contributions include studies on KRAS-driven cancers, biomarker discovery via imaging, and the impact of clinical trials during pandemics. Prof. Algül’s work integrates preclinical models (mouse studies) with clinical data, addressing both molecular mechanisms and patient outcomes. Her team explores synergistic drug combinations (e.g., SHP2/ERK inhibition) and biomarkers for personalized treatment. She has published extensively on pancreatic cancer subtypes, metastasis pathways, and the effects of systemic therapies like olaparib in BRCA-mutated cancers. Education: MD from University of Ulm, Postdoctoral work at University of California Davis Labs/Teams: TUM Cancer Center, Klinikum rechts der Isar Research Group Key Projects: NEONAX trial (perioperative chemotherapy), POLO trial (olaparib maintenance), Hourglass subtyping framework

Philipp SchulzeView profile

Researcher

• Model Reduction
• Port-Hamiltonian Systems
• Numerical Mathematics
• +5 more

Philipp Schulze is a Researcher and Lecturer at Technische Universität Berlin's Faculty II - Mathematics and Natural Sciences, within the Institute of Mathematics. His primary focus is on modeling, simulation, and optimization of real processes, particularly in the realm of model reduction for complex systems. Current roles include Lecturer for Model Reduction (Summer 2024) and Research Associate in the Department of Modeling, Simulation and Optimization of Real Processes under Prof. Tobias Breiten. Education: Bachelor's in Energy and Process Engineering (2008–2012) Master's in Scientific Computing (2011–2014) PhD in Mathematics (2023) Research Interests: Structure-preserving model reduction, port-Hamiltonian systems, numerical methods for transport-dominated phenomena, and applications in fluid dynamics, combustion, and two-phase flows. His work emphasizes energy-based approaches and nonlinear approximation techniques for systems with complex dynamics. Publications: Recent work focuses on nonlinear embeddings for Hamiltonian systems, error bounds for port-Hamiltonian model reduction, and efficient simulations of wildland fires and two-phase flows. Contributions highlight the development of reduced-order models that preserve physical structures like energy conservation and port-Hamiltonian properties. Grants & Awards: No specific awards listed, but active in collaborative projects involving digital twins and combustion control. Labs/Teams: Part of TU Berlin's Modellierung, Simulation und Optimierung realer Prozesse group and previously worked with Prof. Volker Mehrmann's Numerical Mathematics team.

Johan LiotierView profile

Researcher

• Polymer Chemistry
• Materials Science
• Functional Polymers
• +5 more

Dr. Johan Liotier is a Postdoctoral Researcher at the Cluster of Excellence livMatS (Freiburg Center for Interactive Materials and Bioinspired Technologies) at the University of Freiburg. His research focuses on synthesizing small molecules capable of functionalizing and crosslinking non-functional polymers via C,H-insertion chemistry. These molecules enable the creation of stimuli-responsive 3D networks using orthogonal triggers like light and temperature, with applications in reversible crosslinking through cleavable moieties. His primary supervisor is Prof. Dr. Jürgen Rühe. Key research areas include polymer functionalization, photochromic materials, photovoltaic systems, and sustainable materials upcycling. He has contributed to advancements in dye-sensitized solar cells and photochromic dyes, with a focus on optimizing optoelectronic properties and dynamic optical control. His work bridges organic chemistry, materials science, and energy technologies, emphasizing practical applications in adaptive materials and renewable energy systems. Education: Ph.D. in Chemistry (university detail not explicitly stated) Affiliations: Cluster of Excellence livMatS, University of Freiburg Grants/Projects: LivMatS-funded research on polymer crosslinking and functionalization Dr. Liotier actively participates in academic events like the livMatS Colloquium series and contributes to initiatives such as the Master Lab program and Research Data Management at FIT. His research philosophy emphasizes sustainability through material upcycling and responsiveness to external stimuli, positioning him at the forefront of next-generation materials science.