Bio-Medical Process Simulation Professors and Supervisors in Germany

Cristóbal Curioمشاهده پروفایل

استاد

Reutlingen UniversityGermany

Prof. Dr.-Ing. Cristóbal Curio is a Professor of Cognitive Systems at the Faculty of Informatics, Reutlingen University since 2014. He also serves as Prodekan for Research. His academic career includes roles at Max Planck Institute for Biological Cybernetics (2004-2013) and Ruhr-University Bochum. Research focuses on cognitive architectures, deep learning, and experimental methodologies applied to robotics, computer vision, and biomedical engineering. Key projects include EU-funded HEIDI and AIDA initiatives, and BMBF KI Delta Learning. Education: 1992-1998: Electrical Engineering and Computer Science degrees at Ruhr-University Bochum and Purdue University 1998-2003: PhD in Computer Science, Ruhr-University Bochum 2014: Habilitation, University of Tübingen Teaching: Courses include Cognitive Systems (Master's), Advanced Image Processing, and Applied Artificial Intelligence. Labs: Leads the Angewandte Künstliche Intelligenz and Ambient Assisting Cloud Lab . Research interests span cognitive systems, neural networks, and human-centric computing with applications in healthcare and autonomous systems. Active in EU and national research programs, publishing extensively on topics like robotic pose estimation, medical image analysis, and human-robot interaction.

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Jan Henrik Finkeمشاهده پروفایل

مدرس

Technical University of BraunschweigGermany

Jan Henrik Finke is a Lecturer and Head of the Division for Pharma and Bio Particle Technology at the Institute for Particle Technology (iPAT) within the Faculty of Mechanical Engineering at Braunschweig University of Technology. He also serves as a Senior Scientist at the Fraunhoig Institute for Surface Engineering and Thin Films since 2020, and previously held a part-time Substitute Professorship in Pharmaceutical Technology at Friedrich-Schiller-University Jena during the 2021/22 academic year. Dr. Finke completed his doctorate in 2014 with research focused on 'Manufacturing colloidal drug delivery systems in customized microsystems: Characterization of process efficiency and interactions.' He studied Pharmacy at the University of Münster from 2002-2006 and has since built an extensive career in pharmaceutical technology and particle engineering. His research interests span pharmaceutical technology, particle engineering, drug delivery systems, microsystems engineering, and 3D printing of pharmaceuticals. Dr. Finke's work focuses on developing innovative approaches for drug formulation, particularly for poorly water-soluble compounds, and advancing manufacturing processes for pharmaceutical products including probiotic formulations and personalized medicine. Analysis of his recent publications (2023-2025) reveals a strong focus on pharmaceutical manufacturing challenges, particularly tablet production with living microorganisms, advanced drug delivery systems, and the application of computational modeling to pharmaceutical processes. His work bridges fundamental particle technology with practical pharmaceutical applications, with increasing emphasis on personalized medicine approaches through 3D printing technologies. Dr. Finke has made significant contributions to understanding the survival of microorganisms during pharmaceutical processing, the development of novel drug delivery systems, and the optimization of manufacturing processes for complex pharmaceutical formulations. His research has practical implications for improving drug bioavailability and developing personalized medication approaches. As Head of the Pharma and Bio Particle Technology division, Dr. Finke leads research efforts focused on particle-based pharmaceutical technologies, including nanoparticle formulations, solid lipid nanoparticles, and advanced manufacturing techniques for drug delivery systems. His work connects engineering principles with pharmaceutical sciences to address challenges in modern drug development and manufacturing.

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Marc Halfmannمشاهده پروفایل

پژوهشگر

University of TübingenGermany

Marc Halfmann is a researcher at the University of Tübingen , affiliated with the Leibniz Institute for Knowledge Media under the Faculty of Mathematics and Natural Sciences . His work focuses on developing advanced multi-user interfaces for medical and educational applications. PhD in Cognitive Science (2015) Diploma in Bioinformatics (2010) Research Specializations: Halfmann pioneers interactive touch and VR/MR systems for interdisciplinary contexts, including medical decision-making and educational simulations. His projects span: Multi-touch tumor conference systems Immersive archaeological environments Spatial cognition research Human factors in virtual environments Educational technology development Medical informatics applications Technical Contributions: He develops experimental VR environments and applications for: Eye tracking integration Knowledge space visualization Museum education tools Material science exploration Marine biology visualization Historical documentation

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Georgios Priniotakisمشاهده پروفایل

استاد

Dresden University of TechnologyGermany

Prof. Georgios Priniotakis is a Full Professor at the University of West Attica (UNIWA), specializing in Innovative Textile Technologies for Multifunctional Clothing Products . He serves as Head of the Department of Industrial Design and Production Engineering and represents Greece in international research networks like AUTEX and COST Action. His work bridges smart textiles, environmental sustainability, and occupational safety. Education: M.Sc. in Fiber Science and Technology (1992), University of Leeds Ph.D. in Conductive Textiles (2005), Ghent University Research Interests span smart clothing for medical and military applications, conductive textile sensors, sustainable materials from waste, and ergonomic design. He focuses on systems modeling, wearable health monitoring, and integrating AI into textiles. Article Trends highlight advancements in smart textile sensors , sustainable design , machine learning for disaster response, and biomimetic approaches to eco-design. His work intersects textile engineering with environmental science and medical technology . Scientific Leadership: AUTEX Lifetime Achievement Award 2025 Coordinator for EU-funded projects (e.g., DISOLEA, SECOVE, REWAFT) Grants & Projects include EU programs like Erasmus+, COST, and Horizon 2020, focusing on smart textiles, education innovation, and disaster management. He has over 350 citations and an h-index of 12 (Google Scholar).

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Thomas Koschمشاهده پروفایل

استاد

Humboldt UniversityGermany

Thomas Kosch serves as Professor at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. His research group Human-Computer Interaction for Scientific Software develops innovative interfaces for scientific applications, with laboratory facilities at Rudower Chaussee 25, 12489 Berlin-Adlershof and administrative correspondence via Unter den Linden 6, 10099 Berlin. His research spans Human-Computer Interaction, Virtual/Augmented Reality, Artificial Intelligence, and Neurophysiological Computing. Key interests include cognitive augmentation through EEG/EMG systems, motor learning with electrical muscle stimulation, large language model integration in UX workflows, and privacy implications of tracking technologies. His work bridges theoretical HCI frameworks with empirical validation through controlled experiments involving physiological measurements and immersive environments. Analysis of his 15 most recent publications (all 2025) reveals three dominant trends: (1) Critical examination of LLM limitations through prompt-hacking and deceptive design studies, (2) Neurophysiological validation of cognitive phenomena using multimodal sensing (EEG/eye-tracking), and (3) Application-driven XR solutions for veterinary care, navigation, and motor assessment. These works consistently employ rigorous user studies with quantitative behavioral metrics. No scientific awards are documented in the provided materials, though his publication volume in top-tier venues (e.g., CHI, UIST) indicates significant field contributions. Professor Kosch actively supervises doctoral candidates, with at least one PhD defense (Michael Piechotta, Dipl.-Bio-Inf.) scheduled for September 2025. His research group likely secures competitive grants supporting equipment-intensive projects involving EEG systems, VR setups, and physiological sensors, though specific funding sources aren't detailed. The Human-Computer Interaction for Scientific Software group operates as an interdisciplinary hub combining computer science, cognitive psychology, and domain-specific applications. Current projects involve developing open-source tools like MorphoHaptics for medical imaging, MIRAGE for fall hazard detection, and Senscon for physiological sensing integration in VR controllers.

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Assaf Talمشاهده پروفایل

استاد

Leipzig UniversityGermany

Prof. Assaf Tal is a faculty member in the Department of Bio-Medical Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on developing advanced neuroimaging methodologies using magnetic resonance spectroscopy (MRS) and imaging (MRI) to investigate brain function and disease mechanisms. His primary research interests center on neuroimaging physics and brain disease monitoring , with specific emphasis on: Developing novel MRS/MRI techniques combining spin physics and signal processing Tracking neurochemical changes during cognitive processes Detecting and monitoring neurodegenerative diseases including multiple sclerosis, traumatic brain injury, and Alzheimer's Disease Understanding brain encoding mechanisms across neurochemical, electrophysiological, and structural levels His work bridges biomedical engineering with clinical neuroscience to create improved diagnostic and monitoring tools. Prof. Tal's recent publications (2022-2025) demonstrate strong focus on functional MRS and advanced spectral-temporal analysis , with significant contributions to motion correction, uncertainty estimation, and microstructural modeling in neuroimaging. His research shows increasing integration of computational methods like Bayesian inference and machine learning for precision neuroimaging. His laboratory develops specialized software tools including the Visual Display Interface (VDI) for MRS data processing and simulation, supporting both preclinical and clinical neuroimaging research.

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Mohammad Sadeghiمشاهده پروفایل

پژوهشگر ارشد

Hamburg University of TechnologyGermany

Mohammad Sadeghi is a Research Fellow at the Institute of Mechatronics in Mechanical Engineering, Hamburg University of Technology, specializing in robotics, haptic systems, and sensor design. He holds a Dr.-Ing. degree and maintains active roles in research supervision and collaborative industry projects. His academic foundation includes: M.Sc. in Mechanical Engineering from Ferdowsi University, Mashhad, Iran B.Sc. in Mechanical Engineering from Birjand University, Birjand, Iran Dr. Sadeghi's research integrates robotics with medical applications, focusing on wearable exoskeletons for telerehabilitation, bio-inspired whisker sensors, and magnetoelectric actuator systems. His methodological approach combines finite element simulation, inverse optimization, and machine learning to solve challenges in human-robot interaction and precision sensing. Recent work demonstrates growing emphasis on mixed reality integration for industrial haptic feedback and minimally invasive surgical applications. Publication analysis reveals dual research thrusts: medical robotics (40% of recent output) featuring rehabilitation devices and surgical sensors, and magnetoelectric systems (35%) for bioimaging and precision actuation, complemented by biomaterials and manufacturing optimization studies. Recognition includes: Hamburg Innovation Call for Transfer award (2024) for surgical precision enhancement via whisker sensors He supervises six active theses on topics including magnet-based whisker sensors and mixed reality haptic feedback, with Kyrillos Adeeb's 2024 singularity-avoidance project completed. Industry collaborations with Schaeffler (robotic manufacturing), MBJ GmbH (solar robotics), and bAhead (liquid handling systems) demonstrate translational impact. His experimental work utilizes the institute's Haptics Lab and PHiLsLab for hardware-in-the-loop validation of autonomous systems.

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Bruno Moerschbacherمشاهده پروفایل

استاد

University of MünsterGermany

Prof. Dr. Bruno Moerschbacher leads the Molecular Phytopathology group at the Institute of Biologically Based Plant Protection (IBBP), University of Münster. His research spans 30+ years and focuses on functional biopolymers like chitosans, their enzymatic modification, and applications in sustainable agriculture and biomedical fields. The group comprises ~20 students, postdocs, and technicians with strong international collaborations. Research bridges fundamental studies on chitosan structure-function relationships and applied development for bio-based economy Key projects: CARAPAX (antimicrobial chitosans), NanoBioSaccharides (biomedical applications), PolyModE (non-random acetylation patterns), ChitoBioEngineering (industrial production), and CuChi-BCA (plant protection with copper combinations) Collaborations with industry partners led to 3 chitosan-based plant protectants (1 EU-approved) Service unit ChitoProf offers chitosan structural analysis to academia/industry His work has catalyzed the transition from petroleum-based to bio-based materials, with recent focus on third-generation chitosans. Students and postdocs from India, Brazil, Mexico, and Europe have been integral to his research. Projects are funded by EU, German ministries (BMBF, BMWi, BMEL), DFG, and DAAD fellowships.

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Ralf Brunsمشاهده پروفایل

استاد

Hannover University of Applied Sciences and ArtsGermany

Prof. Dr. Ralf Bruns is a full-time Professor in the Department of Computer Science at the Faculty of Business and Information Technology, Hannover University of Applied Sciences and Arts. His office is located at Ricklinger Stadtweg 120, 30459 Hanover, with direct contact available via phone (+49 511 9296 1817) and email. His research focuses on cutting-edge computational methodologies including: Real-time data stream processing systems Bio-inspired algorithms ( evolutionary and swarm intelligence ) Machine learning applications in enterprise systems Semantic Web technologies for knowledge representation Software architecture patterns for event-driven systems Complex Event Processing (CEP) frameworks His publications demonstrate a consistent focus on event-driven architectures applied to logistics, healthcare, IoT, and urban mobility systems. Recent work emphasizes agent-based modeling and real-time analytics for decision support in dynamic environments. Prof. Bruns leads two key research initiatives: the Software Architecture Working Group (AG SWA) and the Smart Data Analytics Research Cluster . He also serves as faculty representative in the Fachbereichstag Informatik (FBTI) and contributes to academic selection committees.

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