جست‌وجوی استاد و پژوهشگر

Tobias Bauerمشاهده پروفایل

پژوهشگر

• Neuroimaging
• Neurology
• Neuroradiology
• +۷ مورد دیگر

Dr. Tobias Bauer, MD, BSc, is a postdoctoral researcher and assistant physician at the University of Bonn, affiliated with the Department of Neuroradiology and the Clinic and Polyclinic for Epileptology. He is a member of the Translational Neuroimaging Working Group led by PD Dr. med. Theodor Rüber, under the directorship of Prof. Dr. med. Alexander Radbruch and Prof. Dr. med. Rainer Surges. His work bridges clinical practice and advanced neuroimaging research, focusing on autoimmune encephalitis and epilepsy. University: University of Bonn School: Medical Faculty Department: Department of Neuroradiology Position: Researcher Email: tobias.bauer@ukbonn.de Dr. Bauer studied nautical science at Wismar University, mathematics at FernUniversität Hagen, and human medicine at the University of Bonn, where he earned his doctorate on structural connectivity in limbic encephalitis. His research focuses on image-guided phenotyping of autoimmune encephalitis using 7T MRI and data-driven modeling. He aims to develop clinically relevant biomarkers for improved diagnosis and treatment planning in both adults and children. The recent publications highlight a strong trend in computational neuroimaging, machine learning for lesion detection, and multimodal MRI analysis in epilepsy. His work spans from fundamental brain connectivity studies to translational applications, including portable MRI and AI benchmarks. This reflects a cohesive research program integrating clinical neurology, advanced imaging, and data science. Scientific awards include: Merit Award, Organization for Human Brain Mapping (2022) Medical Excellence Award, Manfred-Lautenschläger-Foundation (2021) BONFOR SciMed Grant (2019) Cusanuswerk Scholarship (2019) BonnNI Structured MD Program (2018) Dr. Bauer has been supported by multiple grants and is actively involved in national and international collaborations. He supervises no students explicitly mentioned, but contributes to a vibrant research environment in the Translational Neuroimaging Group. His lab focuses on developing imaging biomarkers and disease models in autoimmune encephalitis, leveraging ultrahigh-field MRI and computational tools.

Nic Schaubمشاهده پروفایل

استاد

• Household finance
• Behavioral finance
• Financial intermediation
• +۳ مورد دیگر

Nic Schaub is a Professor at the WHU Otto Beisheim School of Management, affiliated with the Finance and Accounting Group. His research focuses on household finance, behavioral finance, and financial intermediation, with a particular emphasis on investor behavior under macroeconomic shocks like inflation and the impact of digital information on financial decisions. His work bridges theoretical frameworks with empirical evidence, such as analyzing historical events (e.g., the German hyperinflation) and modern phenomena like social media-driven trading. Recent studies include regulatory policy effects, retirement savings strategies, and inflation expectations modeling. Key contributions span over a decade, addressing topics from hedge fund liquidity during crises to the role of data providers in market transparency. His publications appear in high-impact journals such as the Review of Financial Studies and Management Science. No scientific awards are explicitly listed, but his consistent output reflects academic influence. While no advisees or lab affiliations are noted, his research often collaborates with institutions studying behavioral economics and financial markets.

Wolfram Leibnizمشاهده پروفایل

استاد

• Sustainability science
• Urban governance
• Transformation
• +۵ مورد دیگر

Wolfram Leibniz is a full-time Professor and Chair of Spatial Development and Transformation at Dresden University of Technology, while also serving as Director of the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2019. He co-founded the Urban Transformations journal and leads the Dresden Leibniz Graduate School. His career spans academic roles at Sungkyunkwan and Yonsei Universities in South Korea, alongside leadership positions in EU working groups and research fellowships in France and Germany. Ph.D. in Urban and Regional Planning (Dr.-Ing.), University of Stuttgart/UPC Barcelona 2003 BA/MA in Architecture and Urban Planning (Dipl.-Ing.), University of Stuttgart 1997 His research synthesizes urban resilience , governance innovation , and systemic transformation , with a focus on social-ecological systems and transition management . Key article themes include grassroots niches , transformative capacity metrics , and smart city sustainability , spanning journals like AMBIO , Journal of Cleaner Production , and Current Opinion in Environmental Sustainability . Scientific accolades include: Best Paper Award, ISOCARP 2019 Breuninger Fellowship 2010 DAAD Scholarships 1997-1998 Land Baden-Württemberg Dissertation Scholarship 1998 As a scientific advisor for projects like TRANS-LEARN (Sweden) and ENVISION (Portugal), and member of strategic boards including the Leibniz Association's Sustainability Group and the Coalition for Advancing Research Assessment (CoARA), Wolfram bridges academia and policy through transdisciplinary research on urban sustainability transitions.

Aimée Sousa Calepsoمشاهده پروفایل

پژوهشگر

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Aimée Sousa Calepso is a doctoral researcher at the Visualization Institute (VISUS) of the University of Stuttgart , affiliated with the Sedlmair Working Group and the Cluster of Excellence IntCDC . Her work focuses on Virtual Reality , Augmented Reality , and Haptics , with expertise in User Studies and Situated Analytics . Research Projects: Cyber-Physical Wood Fabrication Platform (RP 4-1) Cyber-Physical Fabrication Platform: Fluid Fabrication (RP 4-2) Situated Analytics (AP 34) Her recent publications analyze collaborative robotics, AR/VR applications for construction workflows, and spatial user interaction. She holds an M.Sc. degree and contributes to interdisciplinary research at the intersection of architecture, engineering, and computational systems.

Martin Emptingمشاهده پروفایل

استاد

• Medicinal Chemistry
• Anti-Infective Drug Discovery
• Fragment-Based Drug Design
• +۷ مورد دیگر

Professor Martin Empting is a leading researcher in medicinal chemistry and anti-infective drug discovery at the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), affiliated with Saarland University. He leads the research group focused on Antiviral & Antivirulence Agents, developing synthetic drug molecules targeting bacterial and viral pathogens. His academic background includes a doctorate from the Technical University of Darmstadt and a habilitation in Pharmaceutical and Medicinal Chemistry from Saarland University. Empting's research interests span: Fragment-Based Drug Design Targeted Protein Degradation Quorum Sensing Inhibition Anti-Virulence Strategies Herpesviral Infections Pseudomonas aeruginosa pathogenesis His work integrates chemical biology, computational modeling, and high-throughput screening to discover novel therapeutics. Recent publications reveal a strong trend in dual-targeting strategies, particularly combining traditional antibiotics with quorum sensing inhibitors to combat biofilm-related infections. His research bridges virology and bacteriology, with significant contributions to understanding and disrupting pathogen communication systems. The development of nanoparticle-based delivery systems further highlights his translational approach to overcoming drug resistance. Scientific awards received include: Dr. Anton Keller Foundation Prize Family Bottling Foundation Prize Empting conducts independent research following a postdoctoral period at HIPS. He supervises a research group focused on anti-infective development but no specific students are named in the provided materials. His laboratory develops innovative assays for target validation and employs advanced technologies like phage display and fragment-based design.

Heiko Riegerمشاهده پروفایل

استاد

• Theoretical Biophysics
• Statistical Physics
• Computational Physics
• +۱۲ مورد دیگر

Prof. Dr. Heiko Rieger is a full Professor in the Department of Theoretical Physics at Saarland University , within the Faculty of Natural Sciences and Technology . He leads a research group focused on theoretical biophysics, statistical physics, and computational physics, with significant involvement in the Collaborative Research Center SFB 1027, which investigates the physical principles of biological functioning. His research interests lie primarily in non-equilibrium systems , encompassing a broad range of phenomena including: The biophysics of killing , particularly how cytotoxic T cells eliminate infected or cancerous cells. Tumor growth dynamics , vascularization, interstitial fluid flow, and drug delivery. Active matter , collective behavior of self-propelled particles, and pattern formation. Stochastic search processes and optimization strategies in biological and physical contexts. Quantum phase transitions , relaxation, and thermalization in isolated quantum systems. Imbibition and fluid flow in nano-porous media. His recent publications (2024–2025) demonstrate a strong trend toward interdisciplinary modeling at the interface of physics and biology. Key themes include non-reciprocal interactions in flocking and active matter, stochastic thermodynamics in particle-field systems, collective chemotactic search , and crosstalk in cytoskeletal components during cell migration. His work combines analytical theory with computational simulations, often in collaboration with experimental groups. Prof. Rieger actively supervises a team of postdoctoral researchers and PhD students, contributing to the training of the next generation of theoretical physicists. His group members include Astik Haldar, Anil Kumar Dasanna, Marc Thome, Atul Tanaji Mohite, Jiwon Choi, Barbara Schmidt, Johannes Sicks, Marwa Hijazi, and Ivan Hornak. His research is supported through institutional affiliations and collaborative grants, notably within SFB 1027. He has no listed scientific awards in the provided text, but his extensive publication record in high-impact journals such as Physical Review Letters , Nature Communications , Biophysical Journal , and European Physical Journal underscores his scientific impact. The Rieger group is based at Campus E2.6, Room 4.17, Saarbrücken, and is part of a vibrant theoretical physics community at Saarland University.

• Polymers and Composites
• Nanocomposites
• 3D Printing
• +۶ مورد دیگر

Dr. Feras Korkees is a Senior Lecturer in Materials Science and Engineering at Swansea University , specializing in polymers, composites, and 3D printing. He holds qualifications including a PhD, PGDip, BSc, and professional memberships (IEng, AIMMM, FHEA). His research focuses on long-term material behavior, graphene nanocomposites, and industrial applications of composite technologies. Research Interests: Graphene-reinforced carbon fiber/epoxy composites, 3D printed composites, moisture absorption, and mechanical characterization. Publications: Key areas include environmental impact studies, diffusion mechanisms, and optimization of composite structures. Recent work spans 2023–2018, with collaborations across polymer engineering and aerospace sectors. Teaching: Modules on polymer structure/process, composites, and advanced materials. Supervises postgraduate research in composite design and performance.

Ralf Plattfautمشاهده پروفایل

استاد

• Process Management
• Business Process Innovation
• Digital Transformation
• +۵ مورد دیگر

Ralf Plattfaut is Professor for Information Systems and Transformation Management at the University of Duisburg-Essen since 2023, where he leads the business process innovation and automation lab. Previously, he served as Professor for Business Informatics at South Westphalia University of Applied Sciences (2019-2023) and as Associate Partner at McKinsey & Company (2013-2019). His academic journey includes research positions at the European Research Center for Information Systems at University of Münster and visiting fellowships at Queensland University of Technology and University of Liechtenstein. His educational background includes: Master of Science in Information Systems (MScIS) from WWU Münster (2009), thesis on 'Lean Enterprise Content Management' Bachelor of Science in Information Systems (BScIS) from Hochschule Liechtenstein (2008), thesis on 'IT-Controlling - Investitionsrechnung und Simulation auf Basis des ARIS-Toolset' Studies in Information Systems at WWU Münster (2004-2009) with core subjects in Business Administration, Information Systems, and Finance PhD studies in Information Systems at University of Münster (2009-2013) Plattfaut's research focuses on business process management, digital transformation, and process automation. His work bridges academic theory with practical business applications, particularly examining how organizations implement and govern process innovations. He has made significant contributions to understanding Robotic Process Automation adoption, process mining applications, and the challenges of digital transformation in various sectors including healthcare, utilities, and public administration. His publication portfolio shows a clear trajectory from foundational work on process modeling and IT controlling through to contemporary research on AI-supported process automation and the societal implications of digital transformation. Recent work increasingly addresses the intersection of process management with emerging technologies while maintaining focus on practical implementation challenges faced by organizations. His scientific recognition includes multiple best paper nominations and awards at premier conferences including ICIS, HICSS, and BPM. Notably, he won the MINTchallenge for innovative teaching and received awards for research on public sector process management and RPA implementation challenges. As an active academic leader, Plattfaut serves on editorial boards for Information Systems and e-Business Management and Intelligent Systems in Accounting, Finance and Management journals. He has chaired tracks at major conferences including Wirtschaftsinformatik and Business Process Management conferences. His funded research projects demonstrate strong connections between academic inquiry and practical business needs, with recent grants from DFG, BMBF, and state ministries supporting research on process automation, process mining in utilities, and lightweight IT governance. Plattfaut maintains an active consulting practice supporting organizations on digital transformation journeys, particularly focusing on business process innovation. He also serves on the Advisory Board 'Digitale Region menschlich gestalten' for the Regional Development Programme 'Regionale 2025'.

• Scientific Computing
• Numerical Analysis of PDEs
• High-Performance Computing
• +۷ مورد دیگر

PD Dr. Florian Frank is Privatdozent (senior lecturer with full teaching licence) for Applied Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and heads the Bavarian research project „Parallel mesh loading and partitioning for large-scale simulation“ . His expertise spans high-performance computing, phase-field and discontinuous Galerkin methods, digital-rock physics, and reactive transport in porous media. Education & career 2022 – Venia legendi (private lecturer), Mathematics, FAU 2019 – Dr. habil., Mathematics, FAU 2013 – Dr. rer. nat., Applied Mathematics, FAU 2008 – Graduate Mathematician, University of Frankfurt 2021-2022 (acting) W2 Professor Scientific Computing, FAU 2018-2021 (acting) W2 Professor Mathematical Modelling, FAU 2017-2018 Senior Postdoc, CAAM, Rice University, USA 2014-2017 Postdoc, CAAM, Rice University, USA Research interests Frank focuses on the development and analysis of numerical schemes for partial differential equations that govern multiphase, multicomponent and reactive processes in porous or biological media. Key themes include discontinuous Galerkin and finite-volume methods , physics-preserving discretizations , high-performance computing , and digital-rock-based pore-scale simulations . He couples phase-field approaches with (Navier–)Stokes, Cahn–Hilliard, Nernst–Planck and density-gradient equations to quantify flow, transport, colloid dynamics and interfacial phenomena. Recent publications reveal a clear trend toward data-driven modelling : convolutional neural networks are trained with direct numerical simulation data to predict permeability and diffusion coefficients from 3-D micro-CT images, while advanced preconditioners and regularization techniques accelerate multiphase thermodynamic computations. Awards & recognition 2020 – Emmy-Noether-Prize der Naturwissenschaftlichen Fakultät, FAU 2017 – Promotion to Senior Postdoctoral Research Associate , George R. Brown School of Engineering, Rice University Projects, tools & supervision Frank currently leads a Bavarian state-funded project on parallel mesh handling for large-scale simulations. Together with collaborators he maintains the open-source MATLAB/GNU Octave toolbox FESTUNG for discontinuous Galerkin methods. Since 2018 he has (co-)supervised ten BSc and MSc theses on topics ranging from Stokes preconditioning to enriched Galerkin shallow-water solvers, regularly serves as reviewer for more than a dozen international journals, and is guest editor of special issues in Computational Geosciences and Oil & Gas Science and Technology .

• Computer Vision
• Artificial Intelligence
• Extended Reality
• +۴ مورد دیگر

Prof. Dr. Helge Rhodin is a faculty member at the University of Bielefeld, serving as Head of the Visual AI for Extended Reality Group within the Faculty of Engineering. His research activities are centered at the Center for Cognitive Interaction Technology (CITEC), a central academic institute at the university focused on interdisciplinary research in cognitive systems, robotics, and human-computer interaction. His office is located in CITEC building room 3-225, with secretariat contact via susanne.strunk@uni-bielefeld.de. Professor Rhodin's research focuses span multiple cutting-edge areas in computer vision and artificial intelligence. His primary interests include Computer Vision, Artificial Intelligence, Extended Reality, Human-Computer Interaction, 3D Reconstruction, and Motion Capture. His work demonstrates strong interdisciplinary connections between the university's 'Socio-Technical World' strategic research area, which examines how humans, robots, and AI interact in complex environments. Analysis of Professor Rhodin's recent publications reveals a consistent focus on advancing techniques for human and object representation in virtual and augmented environments. His work spans from fundamental computer vision techniques like keypoint detection and motion capture to advanced applications in digital twin generation, neural rendering, and animal behavior analysis. Notably, his research shows practical applications in sports science (particularly skiing analysis) and biological motion tracking. Within the university governance structure, Professor Rhodin serves as a member of both the Habilitation Committee and the Faculty Conference of University Professors within the Faculty of Engineering, indicating his active participation in academic leadership and quality assurance processes.

• Financial Mathematics
• Applied Mathematics
• Quantitative Finance
• +۱ مورد دیگر

Burcu Aydogan is a Researcher at the Chair for Mathematics for Uncertainty Quantification within RWTH Aachen University . Her work focuses on quantitative finance, algorithmic trading, and stochastic volatility modeling. Research Interests Financial Mathematics Quantitative Finance Stochastic Processes Algorithmic Trading Market Making Strategies High-Frequency Trading Selected Publications Recent work includes studies on optimal market making models, stochastic volatility applications in high-frequency trading, and computational methods for American option pricing. Key themes involve portfolio optimization, risk management, and liquidity dynamics. Contact Email: aydogan@uq.rwth-aachen.de

• Numerical Methods for SDE
• PINNs
• Monte Carlo Methods
• +۵ مورد دیگر

Sankarasubramanian Ragunathan holds a Doctorate in Natural Sciences (Dr. rer. nat.) and is currently affiliated with the Chair of Mathematics for Uncertainty Quantification (MATH4UQ) at RWTH Aachen University. His academic journey includes a B.Tech in Mechanical Engineering from Amrita Vishwa Vidyapeetham, India, and an M.Sc. in Simulation Sciences from RWTH Aachen, completed in 2021. Research Focus: Higher-order numerical schemes, Monte Carlo methods, and stochastic differential equations (SDEs) for exit time computations. Expertise in Physics-Informed Neural Networks (PINNs) and uncertainty quantification. Recent publications highlight his work on multilevel Monte Carlo methods, adaptive algorithms for Itô diffusions, and applications to aerospace engineering. His career spans academia and industry, including a role as Associate Software Engineer at Bosch Global Software Technologies Pvt. Ltd., where he specialized in CFD simulations. Key Article Trends: Development of higher-order numerical techniques, Monte Carlo optimizations, and interdisciplinary applications in fluid dynamics and stochastic processes.

Christoph Revermannمشاهده پروفایل

پژوهشگر

• Biomedicine
• Environmental Protection
• Education
• +۴ مورد دیگر

Dr. Christoph Revermann is a scientific researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) and the Office for Technology Assessment at the German Bundestag (TAB) . Since 1997, he has worked on interdisciplinary projects spanning biomedicine, environmental protection, AI, and civil security, with a focus on technology assessment and policy advisory . He served as deputy head of TAB from 2012 to 2023. Education: Dipl.-Biol. in biology and social studies from the University of Göttingen (1985), Dr. rer. nat. in anthropology (1994). Research interests include: Biomedical and biotechnological innovations Environmental sustainability and climate change mitigation (e.g., forest conversion, light pollution) Educational technology (eLearning, AI in education) Civil security and observation technologies Climate engineering and nanotechnology Recent projects highlight his work on AI applications in education and offshore wind farm environmental impacts. His publications analyze crisis prediction systems (2024), natural forest conversion (2024), and electromagnetic field health effects (2022). Scientific roles include: Co-authoring 15+ TAB reports (2014–2024) Editorial board member for TAB-Brief (2018–2020) Contributing to EU eLearning benchmarks and sustainability labels

Moritz Herrmannمشاهده پروفایل

پژوهشگر

• Empirical Machine Learning
• Manifold Learning
• Representation Learning
• +۵ مورد دیگر

Dr. Moritz Herrmann is a postdoc researcher and Reproducibility & Open Science Transfer Coordinator at the Munich Center for Machine Learning (MCML). He is affiliated with the Biometry in Molecular Medicine working group led by Prof. Anne-Laure Boulesteix at Ludwig-Maximilians-Universität München, and contributes to initiatives like the LMU Open Science Center , Open Science Initiative in Statistics (OSIS) , and Open Science Initiative in Medicine (OSIM) . Ph.D. in Statistics from LMU (2022), M.Sc. in Statistics (2018), and B.Sc. in Mathematics/Sports Science (2014) His research focuses on Empirical Machine Learning , Manifold Learning , and Metascience , with emphasis on epistemological foundations and reliability in ML research. He advocates for open science practices and data literacy, as outlined in his ICML 2024 position paper on rethinking empirical ML research. As a member of the Empirical Machine Learning research focus group and the Statistical Learning and Data Science Chair , Herrmann bridges statistical methodology with biomedical applications. His work spans outlier detection, cluster analysis, and reproducibility frameworks, reflected in his recent publications in journals like Biometrical Journal and Data Mining and Knowledge Discovery .

Michael Dowlingمشاهده پروفایل

استاد

• Strategic Management
• Innovation Management
• Technology Management
• +۳ مورد دیگر

Michael Dowling is a Professor and Chair Holder at the Institute of Business Administration within the Faculty of Business and Economics at the University of Regensburg, Germany. His research focuses on strategic management, innovation ecosystems, and technology commercialization, with specialized expertise in telecommunications industry dynamics and international cooperative relationships. His primary research domains include: Strategic Management : Analyzing competitive dynamics, privatization outcomes, and governance structures Innovation & Technology : Studying convergence trends, R&D strategies, and market entry barriers Telecommunications : Examining regulatory impacts, service innovation, and global value chains Cooperative Networks : Investigating 'coopetition' models, alliance governance, and buyer-seller relationships Publication analysis reveals consistent focus on technology-driven market transformation from 1991-1998, particularly exploring: Telecommunications deregulation impacts New venture growth through strategic alliances Cross-national technology diffusion patterns Cooperative-competitive relationship management