جستجوی استاد راهنمای دانشگاهی

Daria Katharina Bendenمشاهده پروفایل

پژوهشگر ارشد

• Student motivation and achievement
• Educational and occupational choices in STEM
• Teachers' professional competencies
• +۲ مورد دیگر

Daria Katharina Benden serves as a Postdoctoral Researcher at the University of Bonn's Bonn Center for Teacher Education (BZL) within the Empirical Educational Research and Educational Psychology research group led by Prof. Dr. Fani Lauermann. She also holds a Postdoctoral Fellowship at the College for Interdisciplinary Educational Research (CIDER). Her academic journey includes bachelor's and master's degrees in Mathematics and Physics Teacher Education from the University of Bonn, followed by a summa cum laude Ph.D. in Psychology from TU Dortmund University in 2022. Her research focuses on critical aspects of educational psychology in STEM contexts, particularly examining student motivation trajectories, educational and occupational choices in math-intensive fields, and teachers' professional competencies. She investigates how digital self-testing and self-reflection tools can support students in postsecondary education transitions, along with assessing digital competencies required by both students and instructors in modern educational environments. Her work reveals important gender differences in motivational variability and identifies early warning signs of academic disengagement through short-term motivational assessments. Benden's publication portfolio demonstrates strong methodological rigor through longitudinal analyses, random intercept cross-lagged modeling, and network analysis approaches applied to large datasets from math-intensive study programs. Her research consistently addresses the critical challenge of student retention in STEM fields through examination of expectancy-value dynamics, test engagement factors, and motivational alignment patterns. Notably, her work shows that greater motivational alignment between expectancy and value beliefs can paradoxically indicate disengagement in challenging academic contexts. International awards for young scholars from European Association for Research on Learning and Instruction (EARLI SIG-8) International awards for young scholars from American Educational Research Association (AERA MotSIG) As an active researcher, Benden regularly presents at major international conferences including AERA and EARLI, with upcoming presentations scheduled through 2025. Her collaborative work spans multiple institutions including TU Dortmund University and involves significant contributions to theoretical frameworks in educational psychology, particularly regarding situated expectancy-value theory applications in higher education STEM contexts.

Mads Kyedمشاهده پروفایل

استاد

• Mathematics
• Numerical Analysis
• Simulation
• +۳ مورد دیگر

Mads Kyed serves as Professor of Mathematics, Numerics and Simulation at Flensburg University of Applied Sciences within the Faculty of Mechanical Engineering, Process Engineering and Maritime Technologies. His research specializes in: Numerical methods for engineering systems Mathematical simulation techniques Computational applied mathematics Process engineering modeling Work focuses on bridging theoretical mathematics with mechanical and maritime technology applications through advanced numerics. Administrative leadership includes: Chairmanship of Research and Knowledge Transfer Committee Ombudsperson representation for scientific integrity Membership in Extended Senate and Faculty 1 Professor Council

Christoph Glockمشاهده پروفایل

استاد

• Supply Chain Management
• Production planning and control
• Warehouse management
• +۳ مورد دیگر

Christoph Glock is Professor and Head of the Production and Supply Chain Management field at the Department of Law and Economics, Technical University of Darmstadt, a position held since 2018. He previously served as Dean (2020-2022) and Pro-Dean (2018-2020) of the department and maintains an Adjunct Professorship at Toronto Metropolitan University. His academic foundation includes a PhD (2009) and habilitation (2011) from Julius-Maximilians-Universität Würzburg, where his doctoral research focused on supply chain coordination models. Glock's research program centers on mathematical optimization of global supply chains, with six core pillars: Supply Chain Management, Production Planning and Control, Warehouse Management, Environmentally Oriented Production Management, Management of Trading Companies, and Human Factors in Logistics. His work uniquely integrates human behavioral elements into operational decision models while addressing sustainability constraints in production systems, often developing novel algorithms for inventory routing and warehouse automation under real-world uncertainties. His exceptional scholarly impact is evidenced by consistent top rankings in German business research evaluations, including 5th place overall and 1st among professors under 40 in the 2020 Wirtschaftswoche ranking. Key honors include the Bernard J. LaLonde Best Paper Award (2022) from the Council of Supply Chain Management Professionals and the International Journal of Production Research Best Paper Award (2018). Editorial leadership includes Subject Editor roles at Applied Mathematical Modelling and Area Editor for Logistics at Computers & Industrial Engineering . Ranked 5th in 2020 Wirtschaftswoche Business Research Ranking (1st under 40) Bernard J. LaLonde Best Paper Award (2022) Athene Award for Teaching Excellence (2020) Three MIM Conference Commended Paper Awards (2019, 2022) Multiple Best Reviewer Awards from top journals As a highly active academic citizen, Glock serves on 6 editorial boards and has reviewed for over 30 journals including European Journal of Operational Research and Journal of Operations Management , earning recognition as an Outstanding Reviewer. His research group at TU Darmstadt collaborates with industry partners on human-centric warehouse automation projects while advising doctoral candidates in supply chain optimization, though specific student names aren't documented in source materials.

Christian Meilickeمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Knowledge Graphs
• Ontology Matching
• +۵ مورد دیگر

Christian Meilicke is a Researcher at the Data and Web Science Group (DWS) within the School of Business Informatics and Mathematics at the University of Mannheim. His work focuses on artificial intelligence, ontology matching, and knowledge graph completion, with recent contributions to rule-based methods and their applications in business process modeling. He is heavily involved in teaching, coordinating courses such as 'Modeling Business Processes' and 'Artificial Intelligence.' His research interests include the integration of open and structured knowledge, probabilistic reasoning frameworks, and improving the efficiency of knowledge base systems. He has explored topics like inductive logic programming, automated debugging of ontologies, and the use of Markov Logic Networks for root cause analysis in IT systems. In terms of trends, his recent publications emphasize combining symbolic rule-based approaches with machine learning for knowledge graph tasks, such as activity recommendation and link prediction. He also investigates explainability in embeddings and temporal forecasting in knowledge graphs. His work often bridges theoretical advancements with practical applications in business informatics and data integration. No scientific awards have been explicitly mentioned. Christian has advised no formal students listed here but has contributed to teaching and mentoring through his courses and tutorials. His research and teaching are closely tied to the DWS Group, which focuses on data-centric AI and semantic technologies.

• Mathematical Biology
• Computational Modeling
• Biophysics
• +۳ مورد دیگر

Sabine Fischer is a Professor for Supramolecular and Cellular Simulations at the University of Würzburg’s Center for Computational and Theoretical Biology (CCTB). She holds a PhD in Mathematics from the University of Nottingham (2009) and completed postdoctoral research at the University of Cambridge (2009-2011) and the University of Frankfurt (2011-2017). Her work focuses on mathematical modeling and data-driven simulations of biological processes across subcellular, multicellular, and multi-tissue scales. Key research areas include agent-based modeling of parasite collective behavior (e.g., Project 7 of SPP 2332 PoP), cell-cell interactions, and morphological modeling with Blender. Her group develops tools for image analysis and applies methods ranging from classical statistics to machine learning. Education: Diploma in Mathematics, University of Würzburg PhD in Mathematical Biology, University of Nottingham (2009) Professional Experience: Postdoc, University of Cambridge (2009-2011) Postdoc, University of Frankfurt (2011-2017) Development Engineer, h.a.l.m. Elektronik GmbH (2017-2018) Professor, University of Würzburg (since 2018) Her research integrates experimental data with computational models to study processes like mouse blastocyst differentiation, tissue-level organization, and parasitic locomotion. Current projects emphasize agent-based modeling of Trypanosoma collective behavior and the development of open-source tools like VESNA for 3D vessel analysis.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

Tobias Bergمشاهده پروفایل

استاد

• Financial Intermediation
• Corporate Finance
• Empirical Methods
• +۳ مورد دیگر

Professor Tobias Berg is a Professor of Banking at Goethe University Frankfurt and a Research Professor at the Halle Institute for Economic Research (IWH). His academic journey includes roles as Tenured Associate Professor (2016–2019) and Full Professor (2020–2023) at Frankfurt School of Finance & Management, alongside visiting positions at NYU Stern and the European Central Bank. He holds a Ph.D. in Finance from Technical University of Munich and Humboldt University Berlin, and a Diploma in Mathematics from University of Marburg. His research focuses on financial intermediation, corporate finance, and climate finance, with notable work on credit supply shocks, spillover effects in corporate finance, and green transition economics. His articles span topics like BNPL dynamics, climate divestment, and loan pricing disparities between the U.S. and Europe. Editor roles at Review of Finance and Review of Financial Studies underscore his academic leadership. Current research explores CBDC geopolitical impacts and biodiversity stress testing in finance. Education: Ph.D. in Finance, Technical University of Munich/Humboldt University Berlin (2008–2013) Diploma in Mathematics, University of Marburg (1999–2004) Research Interests: Financial Intermediation, Corporate Finance, FinTech, Climate Finance, Empirical Methods, Risk Management. His work bridges theoretical frameworks with real-world applications, such as analyzing how credit shocks impact firm growth and green heating adoption linked to wealth distribution. Grants & Labs: Affiliated with Leibniz Institute for Financial Research (SAFE) and Frankfurt Institute for Risk Management and Regulation (FIRM). Active in teaching at undergraduate, graduate, and executive levels, including courses on climate finance and fintech.

Miriam Clincyمشاهده پروفایل

استاد

• Mathematics Education
• Physics Education
• STEM Teacher Training
• +۳ مورد دیگر

Prof. Miriam Clincy is a Professor of Mathematics, Physics, and STEM Teacher Training at Hochschule Esslingen University of Applied Sciences. She holds roles as University Representative for Higher Education and Associated Member of the Tübingen School of Education (TüSE). Her work focuses on innovative educational technologies, particularly online assessment systems like STACK in Moodle, and teacher training methodologies. Education: PhD in Physics, University of Edinburgh (2003) Physics Diploma (M.Sc. equivalent), Universität Heidelberg & University of Edinburgh (2000) Research Interests: Prof. Clincy bridges theoretical physics and STEM education. Key areas include online testing innovations, peer feedback systems, and teacher training through simulation-based assessments. She also maintains research on non-equilibrium systems from her earlier work in statistical mechanics. Publications: Recent work emphasizes educational technology (e.g., sandbox testing environments, Moodle integration) alongside foundational physics contributions in driven systems and phase transitions. Awards: Baden-Württemberg-Zertifikat für Hochschuldidaktik (2020) Advising & Grants: As Dean of Study (2019–2021), she oversaw TVET teacher training accreditation. Current projects include collaborative initiatives with the University of Tübingen and participation in the „Lehre hoch n“ network for educational innovation. Labs/Teams: Active in Hochschule Esslingen’s Basic Sciences faculty, contributing to curriculum development and assessment frameworks.

Reiner Rummelمشاهده پروفایل

استاد

• Physical Geodesy
• Satellite Gravimetry
• Gravitational Field Analysis
• +۳ مورد دیگر

Reiner Rummel is a Carl von Linde Senior Fellow at Technische Universität München (TUM), holding a professorial academic rank within the Department of Astronomical and Physical Geodesy. His career includes leadership roles such as former head of TUM’s Institute for Astronomical and Physical Geodesy, and professorships at Delft University of Technology. He has contributed significantly to satellite gravimetry, Earth’s gravitational field analysis, and geodetic observing systems. Education: Engineering diploma from TU München (1970), PhD from Technical University of Darmstadt (1974, dissertation on stochastic methods in geodesy). Postdoctoral research at Ohio State University (1974–76) and German Geodetic Research Institute (1976–78). Professional roles include membership in international academies (e.g., German Academy of Sciences Leopoldina, Royal Netherlands Academy) and leadership in ESA’s GOCE mission advisory group. Research focuses on physical geodesy, satellite-based gravitational field determination, and spectral methods. Notable achievements include advancing the GOCE mission’s scientific outcomes and developing methodologies for Earth’s gravity field analysis. Awards include the Bavarian Order of Merit (2008), Vening Meinesz Medal (1998), and honorary doctoral degrees from multiple universities. Publications span over four decades, emphasizing satellite gravimetry applications, dynamic ocean topography, and geodetic system unification. His work bridges geodesy with climate science, oceanography, and solid Earth dynamics. Current affiliations include TUM’s Institute for Advanced Study and leadership in global geodetic networks. Awards: Over 10 major honors, including medals from geophysical societies and academy memberships. Key Projects: GOCE mission science, Integrated Global Geodetic Observing System (IGGOS), and height system unification initiatives.

• Artificial Intelligence and Law
• Large Language Models
• Legal Task Automation
• +۳ مورد دیگر

Wijnand van Woerkom serves as a Senior Research Fellow at the Max Planck Institute for the Study of Crime, Security and Law, leading the Minerva Fast Track Research Group 'Artificial Justice'. His work centers on the integration of artificial intelligence with legal frameworks, specifically examining the applicability and performance measurement of large language models in legal contexts. His academic foundation includes: BSc in Artificial Intelligence (2017) from the University of Amsterdam MSc in Logic (2021) from the University of Amsterdam PhD in AI & Law from Utrecht University focusing on a fortiori case-based reasoning, conducted under the Hybrid Intelligence Centre Dr. van Woerkom's research critically analyzes which legal tasks can be effectively automated through LLMs and develops methodologies to quantify model performance. His interdisciplinary approach bridges formal computational techniques with practical legal applications. Additional expertise spans mathematical domains including category theory and term rewriting systems , demonstrating his capacity to integrate abstract mathematical frameworks with AI development. His recognition includes the prestigious Minerva Fast Track Fellowship awarded by the Max Planck Society. Minerva Fast Track Fellowship During his doctoral work, he contributed to the Hybrid Intelligence Centre's mission of synthesizing machine and human cognitive capabilities. His current research group 'Artificial Justice' represents a dedicated initiative exploring justice-oriented AI implementations within legal systems.

Henning Jacob Jessenمشاهده پروفایل

استاد

• Bioorganic Chemistry
• Inositol Pyrophosphates
• Magic Spot Nucleotides
• +۳ مورد دیگر

Prof. Dr. Henning Jacob Jessen holds the Chair of Bioorganic Chemistry at the University of Freiburg's Institute of Organic Chemistry. His research integrates chemistry and biology to investigate cellular phosphate conjugates, including inositol pyrophosphates, magic spot nucleotides, and condensed phosphates. Research focuses on developing chemical tools for biological studies, metabolic pathway analysis, and therapeutic applications. Key areas include enzymatic synthesis of phosphate derivatives, metabolic flux analysis, structural biology of phosphate transporters, and inhibitor design for kinases. Recent publications demonstrate innovation in: Advanced LC-MS methods for metabolite profiling Chemoenzymatic synthesis of inositol derivatives Structural mechanisms of phosphate transporters Mathematical modeling of metabolic flux Development of kinase inhibitors with therapeutic potential He leads a large research group with multiple postdoctoral researchers and PhD students investigating phosphate biochemistry across biological systems.

Filip Sadloمشاهده پروفایل

استاد

• Computer Science
• Scientific Visualization
• Flow Visualization
• +۵ مورد دیگر

Prof. Filip Sadlo is a Full Professor of Computer Science at Heidelberg University's Interdisciplinary Center for Scientific Computing (IWR), leading the Visual Computing Group. He serves as Dean of Studies for the Department of Informatics since 2022 and holds roles in multiple academic organizations including VGTC Executive Committee (2022–2025) and Associate Director of IWR (2022–present). His research focuses on visualization of complex scientific data, flow analysis, vector field topology, and high-performance computing. Education: PhD in Computational Visualization from ETH Zurich (2010), with prior roles at European Forest Institute and University of Freiburg. Research Interests: Specializes in visualization techniques for fluid dynamics, vector fields, and uncertainty quantification. Key areas include Lagrangian coherent structures, advection-diffusion processes, and interactive visualization systems. His work bridges computational methods with real-world applications in engineering and environmental science. Publications: Over 80 peer-reviewed papers since 2004, emphasizing visualization algorithms for dynamic systems, topological data analysis, and scientific computing. Recent work explores metacognition in data visualization and discontinuous vector field analysis. Grants & Projects: Principal investigator in DFG-funded projects on visualization in meteorology and MRI-based diagnostics, as well as initiatives in data integration and simulation science (e.g., SFB-TRR 191, HIDSS4Health). Labs & Teams: Heads the Visual Computing Group, fostering interdisciplinary research in computational visualization and scientific computing.

• Bioinformatics
• Computational Molecular Design
• Molecular Modeling
• +۲ مورد دیگر

Dr. Christiane Ehrt is a Postdoc researcher at the Center for Bioinformatics within the Faculty of Mathematics, Informatics and Natural Sciences at the University of Hamburg. Her work focuses on computational molecular design, integrating bioinformatics and systems biology approaches to advance molecular modeling and computational chemistry. Research Interests: Dr. Ehrt's research emphasizes the development and application of computational methods for molecular design, including but not limited to: Algorithmic approaches for predicting molecular interactions High-throughput computational screening of biochemical systems Integration of experimental and computational data in drug discovery Publications: No specific articles listed in the provided text, but her research aligns with broader themes in bioinformatics and molecular modeling. Awards: None explicitly mentioned in the provided materials. Advising/Grants: No information available on current or past advisees or grant leadership roles. Labs/Teams: Affiliated with the Center for Bioinformatics and the Computational Molecular Design group at the University of Hamburg.

Timo Gerkmannمشاهده پروفایل

استاد

• Statistical Signal Processing
• Machine Learning
• Speech and Audio Processing
• +۳ مورد دیگر

Prof. Timo Gerkmann is a Professor at the University of Hamburg's Department of Informatics, leading the Signal Processing Research Group. His research focuses on statistical signal processing and machine learning for speech and audio applications, including communication devices, hearing aids, audiovisual media, and human-machine interfaces. He previously held roles at Technicolor Research & Innovation, KTH Royal Institute of Technology, and Siemens Corporate Research. His work emphasizes generative models, diffusion-based approaches, and acoustic signal enhancement. He currently serves as Senior Area Editor of the IEEE/ACM Transactions on Audio, Speech, and Language Processing. Research Interests: Statistical Signal Processing for Speech and Audio Machine Learning Applications in Acoustic Environments Diffusion Models for Audio Restoration Audio-Visual Speech Enhancement Human-Machine Interaction Systems Acoustic Scene Analysis Publications Highlight Trends: Recent works focus on diffusion models for speech enhancement, generative approaches to dereverberation, and audiovisual multimodal analysis. He has pioneered frameworks like ReverbFX datasets and FlowDec codecs, emphasizing perceptual quality and unsupervised domain adaptation. Advising & Grants: While no specific students or grants are listed, his research group actively publishes in top venues, indicating sustained academic contributions. His work bridges theoretical signal processing with applied systems engineering. Labs/Teams: Leads the Signal Processing (SP) Research Group at UHH, specializing in cutting-edge audio technologies and human-centric signal processing solutions.

• Knowledge Representation
• Spatial and Temporal Cognition
• Multimodal Interaction
• +۳ مورد دیگر

Prof. Christopher Habel is a Professor in the Department of Computer Science at the University of Hamburg, leading the WSV work area. His research focuses on spatial and temporal cognition, multimodal interaction, and accessibility technologies. He holds the formal title of Head of Department WSV and is affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. Habel's work bridges cognitive science, artificial intelligence, and human-computer interaction with an emphasis on assistive technologies for visually impaired individuals. Key research projects include the CINACS International Research Training Group, exploring auditory-haptic access to spatial graphics, and the development of multimodal comprehension systems integrating text, graphics, and tactile feedback. His contributions span theoretical frameworks in cognitive linguistics and practical implementations of verbal assistance systems for tactile maps and haptic graph exploration. Over 30 years of academic activity is reflected in his extensive publication record (1984–2015), with recent work emphasizing cross-linguistic studies, event recognition in virtual environments, and the design of multimodal interfaces for cognitive robotics. His research integrates computational models with empirical studies on human perception and language processing.