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Olaf Steinbach is a University Professor (Univ.-Prof.) at the Institute of Applied Mathematics at Graz University of Technology. His academic career spans over three decades with continuous research activity from 1992 to the present, including publications scheduled for 2026. He serves as a project manager for several research initiatives including the Special Research Area (SFB) F90 Computational Electric Machine Laboratory, which runs from 2022 to 2026. Professor Steinbach's research interests primarily focus on Numerical Analysis and Computational Mathematics . His work centers around developing and analyzing advanced numerical methods, particularly Finite Element Methods (FEM) and Boundary Element Methods (BEM), for solving partial differential equations (PDEs) and optimal control problems. His research spans both theoretical aspects (such as error analysis, stability, and convergence) and practical applications (including electric machines, electromagnetics, and biomechanics). He has made significant contributions to space-time finite element methods, which treat time as an additional dimension in the discretization process, leading to more robust and efficient solvers for time-dependent problems. Analysis of his recent publications (2021-2026) reveals a strong focus on optimal control problems governed by partial differential equations, with particular emphasis on elliptic, parabolic, and hyperbolic PDEs. His work demonstrates a consistent pattern of developing robust numerical methods with rigorous error analysis, often incorporating regularization techniques to handle challenging constraints. The applications span computational electromagnetics (particularly electric machines), fluid dynamics, and wave propagation problems. His research increasingly incorporates advanced computational techniques including parallel computing and isogeometric analysis. Professor Steinbach has supervised numerous doctoral students and has been actively involved in organizing academic events, including summer schools on Boundary Element Methods. His collaborative network extends across multiple disciplines and institutions, reflecting the interdisciplinary nature of his work in computational mathematics. His research has been supported through multiple significant projects including DK-W1244 Doctoral Program on Partial Differential Equations, the EU CASOPT project on optimization of industrial devices, and the ongoing Special Research Area on Computational Electric Machine Laboratory. These projects demonstrate his leadership in establishing research frameworks that bridge theoretical mathematics with practical engineering applications. Professor Steinbach maintains an active research group within the Institute of Applied Mathematics, collaborating closely with researchers in computational engineering, electrical engineering, and biomechanics. His work on the Computational Electric Machine Laboratory represents a particularly strong interdisciplinary effort combining mathematical theory with electrical engineering applications.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +4 more

Leigh David is a Professor of Chemistry at the University of Manchester, holding the Sir Samuel Hall Chair since 2014. Previously, he held prestigious roles such as the Forbes Chair of Organic Chemistry at the University of Edinburgh (2001–2012) and Chair of Synthetic Chemistry at the University of Warwick (1998–2001). His research focuses on synthetic molecular machines, supramolecular chemistry, and molecular knots, with notable contributions to the design of molecular motors and catenanes. David earned a BSc (Special Honours) and PhD in Chemistry from the University of Sheffield (1981–1987). He conducted postdoctoral research at the National Research Council of Canada (1987–1989) before joining the University of Manchester Institute of Science and Technology, where he advanced from Lecturer (1989–1996) to Readership (1996–1998). His research interests include developing synthetic strategies for molecular-scale machines, exploring applications in nanotechnology, and investigating dynamic covalent chemistry. Key areas involve creating molecular knots, interlocked structures, and systems capable of programmable motion. David has received numerous accolades, including the Royal Society Bakerian Medal (2013), ERC Advanced Grants (2008, 2014), and the Feynman Prize for Nanotechnology (2007). His work has been recognized globally through fellowships in the Royal Society (2009) and Royal Society of Edinburgh (2005). He leads a research group advancing molecular robotics and has secured major grants, such as the EPSRC Senior Research Fellowship (2005–2010). His lab focuses on translating molecular systems into functional devices with applications in materials science and biotechnology.

• Synthetic molecular machines
• Supramolecular chemistry
• Molecular knots and links
• +3 more

Silvia Arber holds a joint appointment as Full Professor for Neurobiology/Cell Biology at the Biozentrum, University of Basel, and serves as Senior Group Leader at the Friedrich Miescher Institute (FMI) in Basel, Switzerland. Her laboratory investigates the organization, function, and development of neuronal circuits controlling motor behavior, with a particular focus on how these circuits enable precise movement control. Arber obtained her PhD in 1996 from the Friedrich Miescher Institute under Pico Caroni, followed by postdoctoral training with Thomas Jessell at Columbia University (1996-2000), where she studied transcription factors in spinal cord neuronal differentiation. Her educational background includes Biology II studies at the Biozentrum of the University of Basel with graduation in Cell Biology (1987), a diploma thesis at the FMI (1990), and graduate work at the FMI (1992). Her research program centers on elucidating how neuronal circuits orchestrate accurate motor behavior in response to sensory cues and voluntary movement initiation. Using mouse as a model system, her laboratory employs multi-faceted approaches including advanced mouse genetics, viral technologies for transsynaptic circuit tracing, optogenetics and pharmacogenetics for functional manipulation, quantitative behavioral analysis, electrophysiology, and gene expression profiling. Her work has revealed precise synaptic interactions within dedicated motor circuit modules throughout the nervous system and how these impact function, with implications for understanding diseases causing motor deficits and spinal cord injury. Analysis of Arber's publication record shows a consistent focus on motor circuit organization, with particular emphasis on transcriptional control mechanisms, circuit connectivity mapping, and the relationship between developmental processes and functional circuit organization. Her work bridges molecular, cellular, and systems neuroscience, providing fundamental insights into how the nervous system controls movement. The Brain Prize (2022) Elected to the National Academy of Sciences of the United States (2020) Physiological Society Annual Review Prize Lecture (2019) Pradel Research Award (2018) W. Alden Spencer Award (2018) Louis-Jeantet Prize for Medicine (2017) ERC Advanced Grant (2010-2015) EMBO Member (2005) EMBO Young Investigator Award (2001) While specific students are not listed in the provided materials, Arber's laboratory has received significant research funding including an ERC Advanced Grant (2010-2015) and multiple prestigious awards supporting her research program. Her laboratory at the Biozentrum (Room 11.038) collaborates closely with the Friedrich Miescher Institute, where she serves as Senior Group Leader. The research group employs cutting-edge technologies for neural circuit analysis and has contributed fundamental insights into motor circuit organization, with implications for understanding and potentially treating movement disorders and spinal cord injuries.

• Molecular and cellular mechanisms of neuronal differentiation
• Neuronal circuit development and connectivity
• Motor system development and function
• +7 more

Dr. Ajay V. Singh is an Associate Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur, India. He leads the Combustion and Propulsion Laboratory and has established himself as a leading researcher in combustion science and propulsion technology in India. His work on detonation physics has positioned IIT Kanpur at the forefront of this field with the unveiling of "India's First Detonation Tube Research Facility". Dr. Singh's educational background includes: PhD in Mechanical Engineering from University of Maryland, College Park (2015) M.Tech in Aerospace Engineering from Indian Institute of Technology Kanpur (2008) B.Tech in Mechanical Engineering from U.P. Technical University, Lucknow (2006) His research spans fundamental and applied aspects of combustion science with particular focus on high-speed propulsion systems, detonation cycle engines, gas turbine combustion, soot formation and oxidation, flame-synthesized functional nanoparticles, and fire dynamics. His innovative work bridges theoretical understanding with practical applications in aerospace propulsion, energy systems, and fire safety engineering. The media has widely covered his research, with features in India Today, Times of India, Hindustan Times, and Republic Bharat. Dr. Singh's publication record shows a clear trend toward increasingly sophisticated detonation research and fire dynamics studies, with recent work focusing on turbulent wind-driven flames, detonation inhibition mechanisms, and alternative fuel combustion. His articles consistently address challenges in high-speed propulsion and fire safety, demonstrating both theoretical depth and practical relevance. His scientific contributions have been recognized with numerous prestigious awards including the Distinguished Paper Award from the Combustion Institute (the only faculty member in India to receive this honor), a nomination for the Silver Combustion Medal, multiple Best Paper Awards, and the Exemplary Performance in Teaching Award. As an educator and mentor, Dr. Singh has guided numerous PhD and Master's students through their research. His Combustion and Propulsion Laboratory is supported by multiple research grants from agencies including ISRO, ARDB, SERB, and ANRF. He has developed specialized courses including "Explosion and Detonation Physics," which is the first of its kind at IIT Kanpur. Dr. Singh's laboratory serves as a hub for cutting-edge research in combustion science, featuring India's first Detonation Tube Research Facility and advanced experimental setups for studying flame dynamics, soot formation, and detonation physics. His international collaborations include institutions such as Stanford University, University of Maryland, Peking University, and Beijing Institute of Technology.

• Combustion and Reacting flows
• Experimental Combustion and Fluid Dynamics
• Computational Fluid Dynamics
• +19 more

Prof. Dr. Andreas Stadlbauer is a medical physicist affiliated with the Clinical Institute for Diagnostic and Interventional Radiology at St. Pölten University Hospital and the Department of Neurosurgery at Friedrich-Alexander University Erlangen-Nuremberg. He holds an adjunct professorship at the University of Erlangen-Nuremberg and contributes to both clinical and academic research in biomedical imaging and AI applications in oncology. University: Friedrich-Alexander University Erlangen-Nuremberg Hospital Affiliation: St. Pölten University Hospital Department: Department of Neurosurgery Academic Rank: Adjunct Professor His research focuses on advanced MRI techniques, particularly physio-metabolic imaging of brain tumors, oxygen metabolism, and the integration of artificial intelligence in clinical diagnostics. He has led research on glioma classification, tumor microenvironment characterization, and deep learning models for radiomic analysis. The recent publications highlight a strong trend toward AI-driven diagnostic tools in neuro-oncology, particularly in differentiating glioblastomas from metastases and predicting genetic mutations using machine learning. His work emphasizes the clinical translation of complex imaging data into actionable insights. Artificial Intelligence in Oncology Medical Imaging and Radiomics Brain Tumor Metabolism Deep Learning for MRI Analysis Oxygen Metabolism Imaging Clinical Decision Support Systems Prof. Stadlbauer has been involved in seed-funded research projects developing deep learning algorithms for clinical integration. He collaborates extensively with neurosurgeons, radiologists, and oncologists across institutions, contributing to multidisciplinary tumor boards and translational research initiatives. He completed his doctorate in medical physics in 2004, habilitation in 2008, and an MBA in Health Management in 2010. His academic journey reflects a blend of technical expertise and leadership in healthcare innovation.

• Biomedical Imaging
• Medical Physics
• Artificial Intelligence in Medicine
• +7 more

Martin Aigner is Associate Professor and Private Lecturer at the Karl Landsteiner Private University of Health Sciences, where he heads the Clinical Department of Psychiatry and Psychotherapeutic Medicine at Tulln University Hospital. He also teaches at the Medical University of Vienna and the University for Continuing Education Krems. A board member and president (2022–2025) of the Austrian Society for Psychiatry, Psychotherapy, and Psychosomatics (ÖGPP), he is also involved in the Austrian Pain Society and Austrian Balint Society. His research interests center on the integration of biological, psychological, and social factors in psychiatry, with key areas including transitional psychiatry, obsessive-compulsive and mood disorders, the gut-brain axis, and the impact of environmental toxins like mycotoxins on mental health. He leads the PhD program in 'Mental Health and Neuroscience' and supervises doctoral research. His recent publications reflect a strong trend in interdisciplinary mental health research, combining clinical psychiatry with neuroscience, nutrition, and digital health. Themes include neurofeedback for addiction, microbiome influences on depression, and psychosomatic manifestations in chronic conditions. His work often involves neuroimaging and clinical trials. Three scientific prizes from the Austrian Pain Society Scientific prize from the Vienna Association for Neurology and Psychiatry Contributor to WFSBP guidelines on pharmacological treatment of eating disorders Co-author of guidelines for post-viral conditions He serves as principal investigator in multiple funded projects, including studies on depression and the microbiome, probiotics, and psychosis triggers. He is also co-investigator in follow-up care and community mental health initiatives. Aigner is editor-in-chief of psychopraxis. neuropraxis and advocates for digital health literacy and sustainable mental health structures, particularly in youth care. He leads the Research Center for Transitions Psychiatry, emphasizing early intervention, resilience, and patient empowerment through recovery companions. His team includes habilitated senior physicians, fostering innovation in clinical and research settings.

• Psychiatry
• Neurology
• Psychotherapeutic Medicine
• +12 more

Prof. Elmar Rueckert is the Chair of the Cyber-Physical-Systems Institute at Montanuniversität Leoben in Austria since March 2021. He holds a PhD in Computer Science from TU Graz (2014) and previously served as a Senior Researcher at TU Darmstadt (2014–2018) and Assistant Professor at the University of Lübeck (2018–2021). His research focuses on Cyber-Physical Systems, Robotics, Machine Learning, and Human Motor Control, with applications in industrial automation, healthcare robotics, and environmental sustainability. Key research interests include stochastic machine/deep learning, reinforcement learning, brain-computer interfaces, and tactile learning. His work bridges robotics, neuroscience, and AI, emphasizing practical applications such as autonomous navigation, exoskeleton control, and sensor-based recycling technologies. Rueckert has led projects like the AI Robot Lab funded by Robert Bosch Stiftung and the KIRAMET recycling initiative. Recent publications highlight advancements in neural networks for industrial condition monitoring, multimodal robotic learning, and environmental infrastructure modeling. Awards include the German Young Researcher Award (2019) and the Advanced Robotics Best Paper Award (2018). Rueckert advises a team of researchers, including notable students like Daniel Tanneberg (PhD graduate, 2019) and Linus Nwankwo (best student paper winner, 2023). His lab develops open-source tools like ROMR and collaborates on datasets like EnvoDat for robotic spatial reasoning.

• Cyber-Physical Systems
• Robotics
• Machine Learning
• +9 more

Catherine Sackley serves as Professor of Rehabilitation at King's College London, where she was Head of the Department of Population Health Sciences (2014-2022), overseeing Physiotherapy, Primary Care, Public Health, and Global Health divisions with 220+ academic staff and 2,000 medical students. She concurrently holds the position of Head of Physiotherapy and develops clinical research partnerships with King’s Health Partners and King’s Sierra Leone Partnership. Her educational foundation includes: 1982: Associateship in Physiotherapy, Sheffield City Polytechnic 1986: MSc Rehabilitation Studies, University of Southampton 1991: PhD, University of Nottingham Sackley's research centers on stroke and Parkinson's disease rehabilitation through rigorous methodology, specializing in randomized controlled trials of complex interventions, cohort studies, and systematic reviews. She pioneers patient and public involvement frameworks to ensure clinical relevance, with particular emphasis on care home settings for elderly stroke survivors and culturally adapted interventions in low-resource contexts like Sierra Leone. Her publication portfolio reveals sustained leadership in high-impact rehabilitation science, with recent work focusing on pharmacological adjuncts for stroke recovery (e.g., co-careldopa trials), Parkinson's disease management, and care home interventions. Articles consistently appear in top-tier journals including The Lancet (JIF 26.3) and JAMA Neurology (98th percentile), demonstrating methodological innovation in cluster-randomized designs and global health applications. Key recognitions include: Princess Margaret Lecture, UK Stroke Forum (2018) Fellowship of the Chartered Society of Physiotherapy (2018) NIHR Inaugural Senior Investigator (2008) Honorary Fellowship of the Royal College of Occupational Therapy (2008) Inaugural Distinguished Scholar, Society for Research in Rehabilitation (2013) As principal investigator, she directs £15M+ in active research funding including NIHR Global Health grants for stroke care in Sierra Leone (£1.98M) and Parkinson's voice treatment trials (£1.94M), with additional projects addressing rheumatoid arthritis mobility and dementia care. Her grant portfolio spans clinical trials, health systems strengthening, and implementation science across UK and Sub-Saharan African contexts. Sackley actively cultivates translational research capacity through King’s Sierra Leone Partnership and integrates global health perspectives into rehabilitation training programs at King's College London.

• Rehabilitation
• Stroke
• Parkinson's disease
• +4 more

Peter Holzer is a Full Professor of Experimental Neurogastroenterology (emeritus since 2016) at the Medical University of Graz. He holds leadership roles such as Chair of the Ombuds Committee for Good Scientific Practice (2018–2027) and served as Dean of Doctoral Studies (2012–2020). His academic career includes fellowships at UCLA and the University of Cambridge. He leads the Research Unit of Translational Neurogastroenterology within the Otto Loewi Research Centre. Education: PhD in Physiology and Biochemistry from the University of Graz (1978). His research focuses on gut-brain interactions, particularly microbiota signaling, neuropeptides, and neurogenic inflammation. He explores how gut-derived signals influence brain function and behavior, with contributions to understanding opioid systems and vagal afferent pathways. His work is supported by grants from Austrian ministries, the European Union, and private foundations. Notable awards include the Brain, Behavior, and Immunity Impact Award (2020), the Grand Decoration of Honour (2006), and recognition as a Highly Cited Researcher in Pharmacology (2003). Publications span neuropharmacology, gastrointestinal pharmacology, and translational models, emphasizing mechanisms linking gut health to neurobehavioral outcomes. His research has advanced treatments for gastrointestinal and neuroinflammatory disorders.

• Neurogastroenterology
• Gut-Brain Axis
• Neuropeptides
• +4 more

Prof. Matthias Harders is a Professor at the Department of Computer Science, University of Innsbruck. His work focuses on medical imaging, haptic systems, virtual reality, and data-driven simulation. He leads research in interactive visualization tools, medical device development, and machine learning applications in healthcare and environmental engineering. Research areas include haptic augmented reality for surgical training, deformable medical image registration, and synthetic data generation for retinal imaging. Notable projects include SPBView for eye movement analysis and the PoRi device for post-stroke rehabilitation. His work bridges computer science with biomedical applications, emphasizing real-world impact in healthcare technology. Publications span medical simulation, machine learning for biogas prediction, and perceptual interfaces. He collaborates on EU-funded projects involving VR/AR systems and has contributed to open-source tools for point cloud analysis and surgical planning.

• Medical Imaging
• Haptic Systems
• Computer Graphics
• +6 more

Christian Keysers is a leading full professor of Social Neuroscience at the University of Amsterdam and head of the Social Brain Lab at the Netherlands Institute for Neuroscience (NIN). He has held tenured positions since 2000, focusing on the neural basis of empathy, mirror neurons, and social cognition across species. Department Head, Social Brain Lab, NIN (2010–now) Full Professor, Social Neuroscience, University of Amsterdam (2014–now) Full Professor, Social Brain, University of Groningen (2007–2014) His research explores how mirror neurons and embodied cognition underpin empathy, using neuroimaging, electrophysiology, and animal models. He has pioneered cross-species approaches, linking empathic mechanisms in humans and rodents to prosocial behavior and moral conflict. Recent publications highlight his work on predictive coding , altruism , and touch interventions . His findings have been published in Nature Neuroscience , Current Biology , and PLoS Biology . Scientific Awards: ERC Consolidator Grant (2012) VICI Grant (2016) Marie Curie Excellence Grant (2005) IPPY Prize for 'The Empathic Brain' (2012) Keysers actively shapes European research policy as a member of the Future and Emerging Technologies advisory board and the Young Academy of Europe. His book 'The Empathic Brain' won critical acclaim for science communication.

• Social Neuroscience
• Neural Basis of Empathy
• Mirror Neurons
• +5 more

Dr. Philippa Warren is a Senior Lecturer at King's College London's Institute of Psychiatry, Psychology & Neuroscience (IoPPN), where she leads an independent research group focused on spinal cord injury recovery mechanisms. Based at the Wolfson Sensory, Pain and Regeneration Centre, she holds a prestigious Wellcome Trust & Royal Society Sir Henry Dale Fellowship and serves as Race Equality Champion for her department. Her research interests center on understanding physiological deficits following neurological trauma, with particular focus on respiratory and locomotor function recovery after spinal cord injury. Using advanced techniques including respiratory physiology, X-ray videography, neuroimaging, chemogenetics, and viral vector therapeutics, her lab develops translational approaches to restore normal breathing and movement in chronic injury cases. Her work bridges basic neuroscience with clinical applications, targeting the spinal-motor axis for therapeutic intervention. Warren's publication record demonstrates consistent focus on chronic spinal cord injury recovery, particularly respiratory function restoration. Her research shows progression from basic mechanisms of neural plasticity to development of specific therapeutic approaches including viral vector delivery systems, chondroitinase treatments, and neurotrophin-based interventions. The work spans from fundamental physiological characterization to pre-clinical therapeutic development. Sir Henry Dale Fellowship (Wellcome Trust & Royal Society) King's Prize Fellowship Guarantors of Brain Travel Award (2018) Trainee Professional Development Award (2018) Dr. Warren actively supervises research within her laboratory and contributes significantly to educational programs, co-leading Stem Cell and Spinal Cord Injury MSc programs while lecturing across undergraduate and postgraduate courses. Her research is supported by multiple major grants including projects from the Wellcome Trust, EPSRC, MRC, and International Spinal Research Trust, totaling millions in funding for investigations into chronic motor recovery, respiratory function restoration, and neural circuit dissection. The Warren Laboratory, situated within King's College London, represents a dynamic team applying state-of-the-art approaches to address the critical challenges of spinal cord injury recovery, with particular emphasis on respiratory function that affects quality of life for millions worldwide.

• Spinal Cord Injury
• Neuroscience
• Respiratory Physiology
• +7 more

Guilherme Maia de Oliveira Wood is a University Professor and head of the Neuropsychology/Neuroimaging department at the University of Graz, where he has been employed since 2011. His research focuses on developing high-tech tools for neuropsychological rehabilitation, clinically testing their efficacy, and understanding the mechanisms influencing neural plasticity. He is actively involved in the interdisciplinary Master's program 'Computational Social Systems' offered jointly by the University of Graz and Graz University of Technology. His educational background includes: Psychology studies at the Federal University of Minas Gerais (1994-1999), Brazil Doctorate in Psychology at RWTH Aachen (2001-2005), Germany Habilitation in Psychology at the University of Salzburg (2005-2011) Wood's research interests center on combining technological innovation with cognitive science, particularly in neuropsychology and neurofeedback applications. He investigates neural plasticity as the brain's ability to organize itself as a dynamic system, with special attention to psychosocial influences on treatments and rehabilitation. His work bridges technical neuroimaging approaches with ethical considerations regarding neurotechnologies. His recent publications demonstrate a strong interdisciplinary approach spanning neuroscience, psychology, data science, and ethics. The articles reveal consistent focus on methodological rigor in neuroimaging, cognitive mechanisms in learning and rehabilitation, and critical examination of psychosocial factors influencing scientific evidence interpretation. His work increasingly addresses the emotional embedding of scientific communication and placebo effects in neurofeedback research. Wood actively supervises master's students through the 'Computational Social Systems' program and offers thesis topics on brain aging, neurofeedback mechanisms, graph theory applications in neuroscience, and the relationship between motor learning and cognitive function. He leads an FWF-funded research project investigating brain plasticity through fMRI-based neurofeedback training. He is affiliated with several research initiatives including COLIBRI (Complexity of Life), Human Factor in Digital Transformation X, and Neurofeedback Research Graz. His laboratory employs multi-sequence MRI techniques including T1-weighted recordings, diffusion-weighted imaging, resting-state fMRI, and GABA spectroscopy to investigate changes in brain structure, function, and chemistry in response to neurofeedback training.

• Neuropsychology
• Neurofeedback
• Neural Plasticity
• +7 more

Anita Kidritsch is a Professor and Senior Researcher at the Institute of Health Sciences, Department of Health Sciences, St. Pölten University of Applied Sciences. She serves as Deputy Head of Studies and leads research in interprofessional education, digital rehabilitation, and health communication. Her work spans both academic and clinical domains, with significant contributions to physiotherapy, neurology, and dance medicine. Dr. Kidritsch earned her Master of Science from FH Campus Vienna in 2011 and is currently pursuing her PhD at the University of West Attica in the Department of Public and Community Health. Her educational background supports her interdisciplinary approach to health sciences research and teaching. Her research focuses on interprofessional education and training, digitalization in health education, neurology, physiotherapy, and movement analysis. She investigates how digital methods can enhance interprofessional collaboration in healthcare education and practice, with particular attention to the International Classification of Functioning (ICF) framework. Her work also explores dance therapy applications for aging populations and balance improvement. Analysis of her recent publications reveals a strong emphasis on digital solutions for interprofessional healthcare education, with significant contributions to the INPRO and DIRENE projects. Her research spans multiple disciplines including rehabilitation science, digital health technologies, gerontology, and neurology, with a consistent focus on practical applications in clinical settings and educational environments. Dr. Kidritsch actively collaborates across the DA-CH region (Germany, Austria, Switzerland) and participates in numerous international research initiatives focused on improving healthcare through interprofessional collaboration and digital innovation. She serves as an official at Physio Austria in the professional networks for Digitalization and Technology as well as Neurology, and is a board member of tamed eV, Organisation for Dance Medicine. Her professional activities extend to the International Association for Dance Medicine and Science (IADMS), where she contributes her expertise in movement analysis and rehabilitation.

• Interprofessional Education
• Digital Rehabilitation
• Physiotherapy
• +7 more

Stephanie Josephine Eder is a researcher affiliated with the Faculty of Life Sciences, Department of Neuroscience and Developmental Biology. Holding BSc and MSc degrees, her work spans interdisciplinary research at the intersection of neuroscience, psychology, and computational modeling. Education: BSc, MSc in Life Sciences disciplines Her research focuses on behavioral and physiological responses to stimuli, including fear responses, motor command modulation in confined environments, and nonconscious processing in auditory tasks. She also investigates evolutionary behavioral strategies in C. elegans and transcriptional regulation in neurodevelopment. Recent projects include the ÖAW-Doc-Stipendium (2024-2026) on modulation of distributed motor commands. She has published 10 peer-reviewed articles, including datasets (e.g., SpiderPhy) and gene regulatory studies (e.g., ONECUT3). Her work contributes to the UN Sustainable Development Goals through psychological and physiological insights. Scientific Awards: Out of the Box Award 2022 Eder has presented at conferences including Science to Science poster sessions on motor responses (2024), C. elegans behavior (2023), and consumer psychology (2019). Her collaborations span neuroscience, computer science, and molecular biology domains.

• Neuroscience
• Behavioral Neuroscience
• Developmental Biology
• +3 more