جست‌وجوی استاد و پژوهشگر

• Psychosomatic rehabilitation
• Art therapy research
• Occupational therapy
• +۳ مورد دیگر

Prof. Dr. Jörg Oster is a full Professor at Nürtingen-Geislingen University (HfWU), where he conducts research and teaches in the area of psychosomatic rehabilitation and art therapy. His work integrates clinical outcome research with artistic therapies, focusing on patient characteristics, migration-related health issues, and evidence-based rehabilitation strategies. Research Interests Psychosomatic rehabilitation outcomes and prognostic factors Art therapy and creative arts therapies in healthcare Occupational therapy and work-related rehabilitation measures Migration, health, and rehabilitation access International Classification of Functioning (ICF) applications in rehabilitation research Across more than 25 peer-reviewed contributions since 2008, Oster’s publications reveal a consistent focus on the effectiveness of inpatient and outpatient psychosomatic rehabilitation, the role of artistic therapies, and the influence of patient-related and environmental factors on long-term functional and social outcomes. Studies range from randomized evaluations of telephone aftercare to qualitative analyses of patient experiences in art therapy sessions. Scientific Outputs & Contributions Principal investigator of the large-scale “Berufsgruppenanalyse Künstlerischer Therapeutinnen und Therapeuten (BgA-KT)” project mapping the professional landscape of artistic therapists in Germany Lead author on multiple final reports for German Pension Insurance-funded rehabilitation studies Editorial and review contributions to specialist journals in art therapy and psychosomatic medicine Collaborating extensively with colleagues such as Prof. Dr. Joachim von Wietersheim, Prof. Dr. G. Müller, and Dr. C. Braunger, Prof. Oster has secured continuous third-party funding and generated practice-relevant evidence that informs national rehabilitation guidelines.

Valentina Stolyarovaمشاهده پروفایل

مدرس

• Autism Spectrum Disorders
• Mental Health
• Psychotherapy
• +۳ مورد دیگر

Valentina Stolyarova is a Lecturer at the School of Medicine, Department of Medicine, Nazarbayev University in Kazakhstan. With a medical degree and specialized training in psychiatry, she has worked across various mental health institutions, including Karaganda Regional Children’s Mental Hospital and roles in acute psychoses and neuroses departments. Since 2017, she has focused on clinical and research roles in mental health, autism, and pandemic response. Education: Karaganda State Medical Academy (2005), Psychiatry Internship (2005-2006), Magistracy in Psychology (2014-2015) Current Role: Lecturer in Department of Medicine, Nazarbayev University School of Medicine Research Interests : Autism Spectrum Disorders, Obsessive-Compulsive Disorders, Systemic Family Psychotherapy, Erickson's Hypnosis, and Role-Playing Therapies. Her work bridges clinical practice with public health, particularly in Kazakhstan. Key Projects : An Educational Intervention for Autism Patient Management in Kazakhstan (2023-2025) Nicotine Replacement Therapy for Smoking Cessation (2022-2024) Mental Health Effects of Pandemic Frontline Care (2021-2022) Diagnosing Special Educational Needs in Kazakhstan (2019-2020) Scientific Collaborations : Collaborates with international researchers on pandemic mental health, autism diagnosis, and smoking cessation. Her work is cited in Scopus, with an h-index of 56.

Olaf Parczykمشاهده پروفایل

استاد

• Probabilistic Combinatorics
• Extremal Combinatorics
• Ramsey Theory
• +۳ مورد دیگر

Dr. Olaf Parczyk is a research assistant at the Zuse Institute Berlin (ZIB) in the Interactive Optimization and Learning Laboratory under Sebastian Pokutta. In the winter term 2024/25, he served as a substitute professor at Freie Universität Berlin (FU Berlin) in the Department of Mathematics and Computer Science. Previously, he was a Math+ Postdoc at FU Berlin, a visiting fellow at the London School of Economics funded by a DFG fellowship (Grant PA 3513/1-1), and a postdoctoral researcher at TU Ilmenau. He earned his Ph.D. at Goethe University Frankfurt, supervised by Yury Person. Education: Bachelor's in Mathematics, Freie Universität Berlin (2013) Master's in Mathematics, Freie Universität Berlin (2014) Ph.D. in Mathematics, Goethe University Frankfurt (2017) Olaf's research lies at the intersection of probabilistic and extremal combinatorics, Ramsey theory, and machine learning. He focuses on embedding problems for graphs and hypergraphs, particularly those involving randomness. His work includes advancements in Ramsey-type problems, Hamiltonian cycles, and universality in sparse graphs. Recent publications highlight his contributions to Dirac-type theorems for graphs of bounded bandwidth, Ramsey multiplicity bounds, and resilience properties in hypergraphs. He has also explored applications in group testing and positional games under random perturbations. Key Awards: DFG Fellowship (Grant PA 3513/1-1) Olaf has supervised multiple theses, including ongoing Master's students Eva Schinzel and Niall Smith, and Bachelor's student Pascal Weihnhart (2025). He has taught courses in discrete mathematics, probability theory, and seminars on random graphs and extremal combinatorics at FU Berlin and TU Ilmenau.

• Low-latency communication
• Medium access protocols
• Digital Twin
• +۶ مورد دیگر

Yash Deshpande is a researcher at the Chair of Communication Networks at Technical University of Munich (TUM), focusing on reliable low-latency communication systems for AI-enabled robotics and industrial applications. He joined the chair in January 2021 after completing his MSCE at TUM. B.Sc./M.Sc. in Electronics, University of Pune (2016-2018) MSCE in Communications Engineering, TUM (2021) His research spans medium access protocols , digital twin latency modeling, and networked control systems . Current projects include 6G Future Lab Bavaria, AI.NET ANTILLAS, and 5G Testbed Bayern extensions. Recent publications address tree algorithms with interference cancellation , deterministic networking integration with 5G , and reproducible wireless channel emulation . Collaborative work includes industrial digital twins (AI.Fabrik) and network-aware timing bounds in precision protocols. He contributes to IEEE conferences (INFOCOM, GLOBECOM, CASE) and journals (IEEE Transactions on Communications, Information Theory), with emphasis on stochastic network models and learning-based MAC protocols .

• Neuromodulation
• Age-related Cognitive Decline
• Neurodegenerative Diseases
• +۳ مورد دیگر

Martin Dahl is a Research Scientist at the Max Planck Institute for Human Development, Center for Lifespan Psychology, and leads the Lifespan Neuromodulation of Cognition (LINE) group since October 2022. He holds faculty positions at IMPRS COMP2PSYCH and focuses on multi-modal brain imaging techniques to investigate age-related cognitive changes. B.Sc. in Psychology (2011), Justus Liebig University Gießen M.Sc. in Psychology (2014), University of Konstanz PhD in Psychology (Dr. rer. nat., 2020), Freie Universität Berlin His research centers on neuromodulatory systems, particularly dopaminergic and noradrenergic pathways, examining their role in age-related cognitive decline, Alzheimer's disease, and neural synchronization mechanisms. Current projects include non-invasive brain imaging protocols and biomarker development for neurodegenerative disorders. Recent publications analyze locus coeruleus integrity, neurotransmitter interactions, and dietary influences on cognitive health. His work spans neuroimaging methodology, clinical applications, and theoretical frameworks for aging research. Scientific Awards Margret and Paul Baltes Award (Developmental Psychology Section, DGPs) Otto Hahn Medal (Max Planck Society) Young Investigator Award for "Advancement of Clinical and Cognitive Neuropsychology" (GNP e.V.)

Nora Würzمشاهده پروفایل

مدرس ارشد

• Small Area Estimation
• Machine Learning in Statistics
• Poverty Mapping
• +۳ مورد دیگر

Dr. Nora Würz serves as an Academic Councillor (Senior Lecturer) at the Chair of Statistics and Econometrics within the Faculty of Social Sciences, Economics and Business Administration at the University of Bamberg since 2022, where she leads teaching and research initiatives in advanced statistical methodologies. Her academic journey includes a Bachelor's degree in Integrated Life Sciences from Friedrich-Alexander University Erlangen-Nuremberg (2015) and a Master's degree in Statistics through the Joint Masters Program of Berlin universities (2017). She completed her PhD at Freie Universität Berlin (2017-2022) under the German Academic Scholarship Foundation, with her dissertation winning the Federal Statistical Office's 2023 'Statistical Science for the Society' prize. Dr. Würz specializes in small area estimation under data constraints, pioneering integrations of machine learning (particularly random forests) with traditional statistical models. Her research addresses critical gaps in poverty mapping, regional unemployment estimation using mobile network data, and construction of consumer price indices, with strong emphasis on real-world applications in official statistics and policy analysis. Her publication trajectory reveals a strategic evolution toward leveraging non-traditional data sources (mobile networks, aggregated census data) and advanced computational techniques to solve persistent challenges in regional statistics, particularly where population microdata is inaccessible. This work has established new methodological standards for income indicator estimation and small area modeling transformations. Her scientific recognition includes: Statistical Science for the Society prize (Federal Statistical Office, 2023) Young Scientist Award (German Statistical Society, 2023) Gerhard Fürst Prize (Federal Statistical Office, 2018) Dr. Würz contributes significantly to statistical infrastructure through R package development (saeTrafo, povmap) and methodological guidelines for European statistical projects. Her research program receives ongoing support from official statistical agencies and focuses on translating methodological innovations into practical tools for national statistical offices. As core faculty within the Chair of Statistics and Econometrics, she collaborates with Prof. Timo Schmid on European projects related to small area estimation, while maintaining active partnerships with the Federal Statistical Office and UK Office for National Statistics through EMOS (European Master in Official Statistics) initiatives.

• Computational Mechanics
• Materials Science
• Machine Learning Applications
• +۳ مورد دیگر

Binh Nguyen serves as a Postdoctoral Researcher at the Institute of Engineering Mathematics within the Department of Civil Engineering at the University of Duisburg-Essen since October 2024, specializing in advanced computational methods for material science. His academic foundation includes: PhD in Computational Mechanics from Leibniz University Hannover (2016-2021) Dr. Nguyen's research integrates computational mechanics with artificial intelligence, focusing on FFT-based homogenization techniques, deep material networks, and multi-physics simulations for heterogeneous materials. His current ERC-funded project challenges conventional representative volume element approaches for random heterogeneous materials, pushing boundaries in predictive material modeling through novel numerical frameworks. His scholarly recognition includes: Marie Curie Postdoctoral Fellowship (2023-2024) With extensive international research experience across imec and KU Leuven, Dr. Nguyen has contributed to MEMS development and ERC-funded computational projects, maintaining active collaborations within European materials research networks while advancing his work on beyond-RVE methodologies at Duisburg-Essen. He operates within the Institute of Engineering Mathematics research ecosystem, leveraging high-performance computing infrastructure for large-scale material simulations and methodological innovation in computational homogenization.

• Continuum Mechanics
• Fracture Mechanics
• Computational Mechanics
• +۳ مورد دیگر

Tim Sentler is a Researcher at the Institute of Engineering Mathematics, University of Duisburg-Essen, Germany. He holds a Master of Science degree in Mechanical Engineering with a focus on Applied Mechanics and Fluid Mechanics from Karlsruhe Institute of Technology (KIT), where he completed his studies between 2022 and 2025. Education: B.Sc. in Mechanical Engineering (2017–2022), Karlsruhe Institute of Technology (KIT), major in Continuum Mechanics. M.Sc. in Mechanical Engineering (2022–2025), KIT, major in Applied Mechanics and Fluid Mechanics. Research Focus: Current project: "Beyond Representative Volume Elements for Random Heterogeneous Materials" (ERC funded). Specializes in computational mechanics, fracture mechanics, and material modeling with regularization techniques. Contact: Email: tim.sentler@uni-due.de Room V15 R04 H08, Universitätsstraße 2, 45141 Essen, Germany.

• Hepatology
• Liver Cirrhosis
• Portal Hypertension
• +۳ مورد دیگر

Dr. Johannes Kluwe is a physician-scientist at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the First Medical Clinic and Polyclinic within the Medical Faculty. His clinical and research work focuses on hepatology, particularly on liver cirrhosis, portal hypertension, and metabolic liver diseases. His primary research interests include TIPS (Transjugular Intrahepatic Portosystemic Shunt) procedures, NAFLD/MASLD (Non-alcoholic/Metabolic Dysfunction-Associated Steatotic Liver Disease), and complications of liver cirrhosis. His work spans clinical research, molecular mechanisms of liver disease, and development of diagnostic and prognostic tools. Dr. Kluwe's recent publications (2021-2025) demonstrate a strong focus on improving outcomes in portal hypertension management, developing prognostic scoring systems like the Freiburg index of post-TIPS survival (FIPS), and investigating the molecular mechanisms underlying NAFLD progression. His research integrates advanced imaging techniques like 4D flow MRI with clinical outcomes to develop personalized treatment approaches for patients with liver disease. He has contributed to important clinical guidelines, including the recent amendment introducing the new MASLD nomenclature, reflecting his leadership role in the German hepatology community. His collaborative work extends across multiple disciplines including radiology, cardiology, and critical care medicine. Dr. Kluwe serves as a principal investigator in several clinical studies, including the STOPPIT trial examining proton-pump inhibitor use in liver cirrhosis, and is actively involved in multicenter research collaborations across Germany and internationally.

• Biliary Atresia
• Pediatric Surgery
• Transplant Surgery
• +۳ مورد دیگر

Dr. Omid Madadi-Sanjani is a physician-scientist and academic faculty member at the University Medical Center Hamburg-Eppendorf (UKE), where he serves in the Clinic and Polyclinic for Visceral Transplant Surgery. Holding the academic title of Privatdozent, he is actively involved in both clinical practice and research, with a specialized focus on pediatric hepatobiliary diseases, particularly biliary atresia. His work bridges clinical practice with translational research, contributing significantly to the understanding and management of complex liver conditions in children. Dr. Madadi-Sanjani's research primarily centers on biliary atresia, with particular emphasis on optimizing the Kasai hepatoportoenterostomy procedure and subsequent management strategies. He has made notable contributions to the field through the development of the Clavien-Madadi classification system for unexpected events in pediatric surgery, which has been implemented and validated across multiple European centers. His work spans clinical investigations, translational studies using animal models, and large-scale collaborative efforts through European Reference Networks. Analysis of his recent publications reveals several key trends in his research program. He has been instrumental in standardizing diagnostic approaches and treatment protocols for biliary atresia across European centers. His work increasingly focuses on identifying early predictors of outcomes, optimizing post-Kasai management to prolong native liver survival, and determining appropriate timing for liver transplantation. Additionally, he has contributed to understanding the immunological aspects of biliary atresia pathogenesis and exploring novel therapeutic approaches such as rectal budesonide administration. Dr. Madadi-Sanjani is deeply involved in collaborative research networks, particularly within the European Reference Network for Rare Liver Diseases (RARE-Liver). His work often involves multicenter studies that bring together pediatric hepatologists, surgeons, and researchers across Europe to address critical questions in the management of rare pediatric liver conditions. He has contributed to evidence-based guidelines for the surgical management of conditions like necrotizing enterocolitis in premature neonates and has explored the impact of the COVID-19 pandemic on pediatric surgical research.

Maximilian Hartelمشاهده پروفایل

استاد

• Orthopedic Surgery
• Trauma Surgery
• Biomechanics
• +۶ مورد دیگر

Privatdozent Dr. med. Maximilian Hartel is affiliated with the Clinic and Polyclinic for Trauma Surgery and Orthopaedics at the University Medical Center Hamburg-Eppendorf (UKE). Holding the academic title of Privatdozent, he has completed his habilitation and is qualified to teach at the university level within the Medical Faculty of the University of Hamburg. Dr. Hartel's research focuses on biomechanical analysis and surgical techniques for complex fractures, with particular emphasis on pelvic, acetabular, and tibial plateau fractures. His work integrates advanced technologies like 3D printing into surgical planning and education, demonstrating a commitment to innovation in orthopedic trauma care. He has published extensively in high-impact orthopedic journals, with numerous first and corresponding author positions indicating leadership in his field. His recent publications reveal a strong focus on comparative biomechanical studies of different fixation techniques, innovative surgical approaches, and the application of 3D printing to improve preoperative decision-making. His research consistently bridges laboratory findings with clinical applications, contributing to evidence-based improvements in fracture management protocols. Dr. Hartel frequently collaborates with colleagues at UKE, particularly with K-H. Frosch, D.M. Thiesen, and N. Hinz, demonstrating an integrated approach to orthopedic research. Notable contributions include biomechanical comparisons of screw fixation techniques for pelvic fractures, analyses of 3D printing's impact on surgical planning, and investigations into novel approaches for complex fracture patterns. His work on socioeconomic aspects of fracture care, particularly work-related pelvic injuries, demonstrates a comprehensive approach that considers both clinical and societal impacts of orthopedic trauma. Dr. Hartel maintains an active research program with publications spanning from 2011 to 2025, indicating sustained scholarly productivity. His work appears in leading journals such as Injury, European Journal of Trauma and Emergency Surgery, and Archives of Orthopaedic and Trauma Surgery, reflecting recognition within the international orthopedic community.

• Melanoma Research
• Immunotherapy
• Dermato-Oncology
• +۵ مورد دیگر

Christoffer Gebhardt is a Professor at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Medical Faculty and the Clinic and Polyclinic for Dermatology and Venereology. His research focuses on melanoma, immunotherapy, and dermatological oncology, with extensive contributions to understanding biomarkers and treatment responses in skin cancer patients. He actively participates in numerous clinical trials and collaborative research efforts within the European dermatological oncology community. Professor Gebhardt's research interests center on melanoma biology and treatment, particularly examining biomarkers that predict response to immune checkpoint inhibitors. His work spans from basic mechanisms of immunotherapy resistance to real-world clinical applications, with special emphasis on liquid biopsy techniques, coagulation markers as predictors of treatment response, and sex-specific differences in melanoma outcomes. His research bridges laboratory findings with clinical practice, aiming to improve personalized treatment approaches for melanoma patients. His publication record demonstrates a strong focus on translational research in melanoma and skin cancer, with recent work highlighting the importance of biomarkers like D-dimers, complement factors, and circulating tumor DNA in predicting treatment response. Gebhardt's research increasingly explores the integration of novel immunotherapies and targeted treatments, with particular attention to real-world evidence from large patient registries like ADOREG. Professor Gebhardt is actively involved in major professional organizations including the European School of Dermato-Oncology, the Working Group for Dermatological Oncology (ADO), and the European Liquid Biopsy Society. He regularly participates in and organizes key conferences such as the German Skin Cancer Congress and contributes to editorial activities for journals including J DTSCH DERMATOL GES and J EUR ACAD DERMATOL.

• Global Banking
• Development Finance
• Financial Intermediation
• +۲ مورد دیگر

Ralph de Haas is a part-time Associate Professor of Finance at Tilburg University and holds multiple prominent affiliations, including Director of Research at the European Bank for Reconstruction and Development (EBRD) in London, Research Associate at ZEW, CEPR Research Fellow, Fellow at the European Banking Center, and Visiting Senior Fellow at the Institute of Global Affairs (London School of Economics and Political Science). Education: PhD in Economics, Utrecht University Research Interests focus on global banking , development finance , and financial intermediation , with recent work on randomized controlled trials for financial inclusion in Morocco and Turkey. His research intersects with sustainable financial markets and pensions. Scientific Awards: Willem F. Duisenberg Fellowship Prize (2014) Publications appear in leading peer-reviewed journals such as the Journal of Financial Economics , Review of Financial Studies , and American Economic Journal: Applied Economics . His work spans themes like banking systems, financial inclusion, and economic development. Collaborations include roles at ZEW's Research Unit 'Pensions and Sustainable Financial Markets' and leadership at the EBRD, where he drives research strategies aligned with development finance.

• Macroeconomics
• Public Finance
• Political Economy
• +۷ مورد دیگر

Facundo Piguillem is a Professor of Economics at the Einaudi Institute for Economics and Finance (EIEF) . His research focuses on Macroeconomics, Public Finance, Political Economy , and Government Debt . He has made significant contributions to understanding redistribution, fiscal rules, unemployment insurance , and aging economies . His recent work includes: 2025: Hyperbolic Discounting with Random Gratification (Time-Inconsistent Preferences) 2025: Fiscal Unions with Present Biased Governments (Federal Policy Design) 2025: Optimal Redistribution with Government Debt (OLG Models) 2025: Fiscal Rules and Discretion with Risk of Default (Debt-Dependent Deficit Limits) He has co-organized the Rome Workshop on Macroeconomics (Pizzanomics) and the Summer Workshop in Political Economy since 2012, fostering interdisciplinary research in fiscal policy and macroeconomic dynamics.

Hajo Wiemerمشاهده پروفایل

پژوهشگر

• Usable Artificial Intelligence
• Production Engineering
• Data Mining
• +۶ مورد دیگر

Hajo Wiemer is a Researcher at the Department of Process Informatics and Machine Data Analysis within the Faculty of Mechanical Science and Engineering at Dresden University of Technology . His work bridges data-driven methodologies with mechanical engineering, focusing on machine learning, thermal error compensation, and digital twins. Research Focus: Usable AI, additive manufacturing, and data mining in production systems. Key Contributions: Development of the DMME framework, ontology-based data management, and thermal simulation-driven models. Dr. Wiemer’s recent publications emphasize machine learning robustness , domain-specific AI applicability , and data-driven quality assurance in cyber-physical systems. He actively collaborates on projects like AMTwin and SaxFDM, addressing challenges in interdisciplinary engineering data integration.