جستجوی استاد راهنمای دانشگاهی

Jochen Freyمشاهده پروفایل

استاد

• Measurement Technology
• Electrical Engineering
• Microelectronics
• +۳ مورد دیگر

Prof. Dr.-Ing. Jochen Frey serves as Vice President of Technische Hochschule Mittelhessen (THM) since April 2020. His academic role includes strategic university development and research leadership, including membership in the steering group of the Research Campus of Central Hessen. He holds a professorship in Measurement Technology and Sensors at the Department of Electrical and Information Technology. Education: Married with two children, Frey earned his A-levels at Werner von Siemens School (1995), a Diploma in Electrical Engineering (microelectronics specialization, University of Siegen, 2001), and a Dr.-Ing. in Message Processing (University of Siegen, 2007). Research & Roles: Research focuses on measurement systems, optical technologies, and AI-driven healthcare applications (e.g., respiratory monitoring in children). Former roles include Managing Director of THM's Center for Quality Development (2017–2020) and Dean of the Electrical and Information Technology Department (2012–2017). Leadership in Senate (2013–present) and involvement in interdisciplinary research initiatives like the Research Campus of Central Hessen. Awards & Grants: While no explicit awards are listed, his roles in securing over €10M in annual research funding and leading high-impact projects reflect his contributions to applied sciences. Labs & Collaboration: Active in THM's interdisciplinary Centres of Competence, particularly in optical technologies (Lotus Centre) and AI (KITE Centre). Collaborates with regional optics companies and universities like Justus Liebig University Gießen.

Shu-Chen Liمشاهده پروفایل

استاد

• Cognitive Neuroscience of Aging
• Neuromodulation
• Brain and Behavioral Plasticity
• +۵ مورد دیگر

Prof. Shu-Chen Li holds the Chair of Lifespan Developmental Neuroscience at TU Dresden's Faculty of Psychology since 2012. Her research focuses on cognitive neuroscience of aging, neuromodulation, and prenatal developmental influences. She completed her Ph.D. in Cognitive Psychology at the University of Oklahoma (1994) and Habilitation at Free University Berlin (2006). Current roles: Speaker of the Excellence Cluster 'Tactile Internet with Human-in-the-Loop', Board Member of Körber-Stiftung Research interests include: Neural mechanisms of decision-making across the lifespan Age-related changes in brain plasticity Developmental impacts of prenatal exposures Applications of neurotechnology in aging studies Her recent work emphasizes: Neuroimaging studies of valuation processes in older adults Development of full-body motion datasets for aging research Integration of tactile internet technology with neurocognitive studies Notable contributions include: Leading interdisciplinary projects combining neuroscience with engineering Over 140 peer-reviewed publications (SCOPUS h-index 51) Pioneering studies on dopamine's role in spatial navigation aging

Tim Lauerمشاهده پروفایل

پژوهشگر

• Computational Psychology
• Moral Psychology
• Natural Language Processing
• +۲ مورد دیگر

Dr. Tim Lauer is a Senior Researcher at the Leibniz Institute for Psychology (ZPID), specializing in Computational Psychology and Moral Psychology. He holds a PhD in Psychology (Dr. rer. nat., 2022) from Goethe University Frankfurt and a Data Science Professional qualification (2022) from DSR Berlin. His research focuses on computational methods applied to psychological phenomena, including scene perception, object recognition, and social influence dynamics in academic contexts. Prior to ZPID, he worked as a Research Employee in Experimental Psychology at Goethe University (2017–2021). Research Interests: Computational Psychology Moral Psychology Natural Language Processing Computer Vision Machine Learning Key Contributions: Lauer’s work bridges cognitive psychology and computational modeling, addressing questions like how contextual materials influence object recognition and how social platforms shape academic communication. His recent studies analyze the #TwitterMigration to Mastodon through a computational lens, exploring researcher behavior and network dynamics. Awards & Grants: No awards explicitly listed, though involvement in third-party funded projects at ZPID suggests grant-funded research activity. His work is supported by institutional resources and collaborations. Labs & Teams: Affiliated with ZPID’s Big Data in Psychology and Moral Computing Lab , integrating large-scale data analysis with ethical considerations in AI-driven psychology research.

Martin Kolbمشاهده پروفایل

استاد

• Stochastic Processes
• Probability Theory
• Mathematical Physics
• +۳ مورد دیگر

Roles & Affiliations: Martin Kolb is a Professor (W3) at Paderborn University's Institute of Mathematics (Applied Mathematics and Stochastics group leader). He previously held roles including Professor (W2) at Paderborn (2014–2017), Lecturer at University of Reading (2012–2014), and Harrison Early Career Professor at Warwick University (2011–2012). Education: PhD in Mathematics from TU Kaiserslautern (2009), Diploma in Mathematics from Ludwig-Maximilians-University Munich (2005). Studied at University of Copenhagen (2002–2003). Research Interests: Focuses on stochastic processes, probability theory, and mathematical physics. Key topics include quasi-stationary distributions, Fleming-Viot models, spectral asymptotics, and applications in quantum computing (e.g., Photonic Quantum Computing project). His work bridges theoretical mathematics with computational methods and physical systems. Scientific Engagement: Organized major events like the Weierstrass-Lecture series (since 2019) featuring Fields medalists and co-organized workshops such as the Oberwolfach Workshop on Stochastic Processes (2020). Active in conference committees for topics like 'Stochastic Processes under Constraints' (2016). Labs/Teams: Leads research projects including 'PhoQC: Photonic Quantum Computing' and 'Super-Brownian Motion with single point source'.

Georg Jahnمشاهده پروفایل

استاد

• Cognitive Psychology
• Geropsychology
• Human-Machine Interaction
• +۴ مورد دیگر

Prof. Dr. Georg Jahn is a faculty member at Chemnitz University of Technology , affiliated with the College of Behavioural and Social Sciences and the Department of Psychology . His research focuses on Applied Geropsychology and Cognition , with expertise in hybrid societies, cognitive ergonomics, mental workload measurement, skill acquisition with human-machine interfaces, eye tracking, multiple object tracking, diagnostic reasoning, and spatial cognition. Education: Doctorate (Dr. phil.) in Psychology, University of Regensburg (2001) Habilitation (Venia legendi Psychology), Chemnitz University of Technology (2013) Research Trends: His recent work explores virtual reality applications in aging, human-robot interaction, cognitive processes in diagnostic reasoning, and resilience engineering for autonomous systems. Key subfields include spatial updating, anthropomorphic cues, intergenerational contact, and telepresence technology. Team Members: Collaborators include Dr. Matthias Beggiato, Judith Haubner, Silvio Heß, Cornelia Hollander, Tim Kuball, Jenny Rettstatt, Lou Frankenstein, Kerstin Klöppel, Daniel Trommler, Xie Ning, and Kerstin Klöppel.

• Visualization
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Steffen Koch is a Senior Lecturer at the Institute for Visualization and Interactive Systems (VIS), University of Stuttgart. His work bridges visualization, virtual reality, and digital humanities, focusing on tools for analyzing text, spatiotemporal data, and cultural datasets. He collaborates extensively with institutions like the Visualisierungsinstitut der Universität Stuttgart and IEEE. Research Interests : Visualization techniques, virtual/augmented reality applications, digital humanities, text analytics, and human-in-the-loop systems. Key Publications : 2024 ChoreoVis (dance formation analysis), 2024 ViSCitR (hotel review comparison), 2023 Animated Transitions (small-scale visualization design), 2021 Sparse Spherical K-Means (document clustering), and 2016 VA 2 (evaluation methodology). Techniques Developed : Triangulation of eye-tracking and interaction data, pyramid tag maps for document exploration, multifocus navigation in text analysis, and real-time social media monitoring tools. His recent work trends emphasize human-centric visualization , combining machine learning with interactive interfaces for complex tasks in cultural analysis, social media monitoring, and temporal data exploration. While no explicit awards are listed, his prolific output in top venues like IEEE Transactions and Computer Graphics Forum indicates recognition in visualization and digital humanities communities. He frequently collaborates with Thomas Ertl, Johannes Knittel, and Markus John, spanning applications from religious history to cinematic storytelling.

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Yao Wang is a Research Associate at the Institute for Visualization and Interactive Systems (VIS) within the Department of Collaborative Artificial Intelligence (CAI) at the University of Stuttgart , Germany. Research Interests : His work bridges Computer Science and Artificial Intelligence , focusing on: 3D Reconstruction and Multi-View Stereo techniques Semantic Segmentation of aerial imagery Structure from Motion with semantic constraints Heuristic algorithms for image processing Publications Trends : Recent work emphasizes Computer Vision advancements in aerial data analysis, integrating Machine Learning for geospatial modeling, photogrammetry, and large-scale scene reconstruction. Research Affiliation : Active in the Institute for Visualization and Interactive Systems , contributing to collaborative AI and computer vision projects.

• Photography Technology
• Analog Photography
• Digital Image Processing
• +۳ مورد دیگر

Heiko Diekmeier serves as a Technical Director of the Photography Lab and Lecturer at the Academy of Media Arts Cologne (KHM), where he provides essential technical support for the photography department and project assistance for students and faculty. His responsibilities encompass overseeing all photographic work in the lab and conducting comprehensive introductions to photo studio techniques, digital image processing, and analog recording technology. Mr. Diekmeier specializes in multiple areas of photographic technology with particular expertise in: Analog photography processes and black and white film development Digital image processing and output systems including Photoshop Studio photography techniques and advanced flash methods 35mm and medium format camera systems operation Scanner and printer technologies for professional output Technical foundations of aperture, shutter speed, and depth of field As an integral part of the Photography Department's educational framework, he plays a critical role in ensuring students develop both artistic approaches and technical proficiency in photographic work through hands-on instruction and lab supervision. Mr. Diekmeier actively participates in the Basic Photography Seminar alongside Andreas Langfeld and Claudia Trekel, teaching the technical components of photography to undergraduate and graduate students during weekly sessions held at the Photography Lab in Witschgasse 9-11. He maintains close collaboration with the Cologne Drama School for practical applications of photographic techniques in motion and portrait studies, providing students with real-world experience in both studio and location settings.

Stefan Wolfgang Picklمشاهده پروفایل

استاد

• Operations Research
• Risk Management
• Complex Systems Optimization
• +۳ مورد دیگر

Prof. Dr. Stefan Pickl is a full Professor of Operations Research at Universität der Bundeswehr München, where he leads the Chair of Operations Research and the Core Competence Center COMTESSA. His research integrates operations research, risk management, and complex systems optimization, with applications in critical infrastructure resilience, disaster reduction, and network security. Education includes a diploma in Mathematics and Philosophy from TU Darmstadt (1993), a doctorate (1998), and habilitation (2005) from TU Darmstadt and Universität zu Köln. He was an ERASMUS scholar at EPFL Lausanne. Research focuses on: Optimization of stochastic systems and game-theoretic frameworks for decision support. Risk analysis in transportation security (e.g., BMBF projects RIKOV and REHSTRAIN). Resilience modeling for critical infrastructure against hybrid threats. His recent publications emphasize stochastic positional games, humanitarian logistics, and ethical infrastructure challenges, reflecting interdisciplinary collaboration across computer science, engineering, and social sciences. Awards include three Best Paper Awards (CASYS 2003, 2005, 2007) and the Acquisition Research Symposium Award (2013). He secured significant grants for projects like RIKOV (terrorism risk in rail transport) and REHSTRAIN (high-speed train resilience). Leads the COMTESSA research team with 15+ members, including junior professors, scientists, and engineers. Collaborates with international centers like MUNICH AEROSPACE, CENETIX-NPS, and CODE.

Eric Müller-Budackمشاهده پروفایل

پژوهشگر

• Automatic multimedia indexing
• Multimedia and multimodal information retrieval
• Computer vision
• +۵ مورد دیگر

Dr. Eric Müller-Budack is a researcher at the Leibniz Information Centre for Science and Technology (TIB) in Hannover, Germany, where he works in the Visual Analytics research group. His work focuses on bridging computer vision with information retrieval to analyze multimedia content, particularly news media and sports analytics. His educational background includes: Ph.D. in Computer Science from Leibniz University Hannover (2021), passed with distinction Müller-Budack's research primarily centers on automatic analysis of multimedia content, with particular emphasis on cross-modal consistency between images and text. His work has significant applications in news verification, misinformation detection, and sports analytics. He develops advanced computer vision techniques combined with natural language processing to create systems that can understand complex relationships between different media types, enabling more reliable analysis of digital content in real-world scenarios. His recent publications demonstrate a clear trend toward using large vision-language models for multimodal analysis tasks, particularly in news verification and misinformation detection. His research increasingly focuses on practical applications of these technologies in diverse domains including sports analytics, patent analysis, and film studies, showing how computer vision can be applied to solve domain-specific problems across multiple disciplines. Among his notable achievements: Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2020 Best Paper Award at CLEOPATRA@ESWC 2020 Honorable Mention Award at TPDL 2018 PhD passed with Distinction (2021) Nominated for GI-Dissertationspreis (2022) Nominated for Leibniz Dissertation Award (Top 10) (2022) Best Paper Award at International Conference on Multimedia Retrieval (ICMR) 2024 Müller-Budack has been instrumental in developing TIB AV-Analytics, a computational tool for film and video analysis that serves both scholarly research and practical applications in media analysis. His collaborative work with researchers like Ralph Ewerth demonstrates strong interdisciplinary connections between computer science, journalism, sports science, and cultural heritage studies, creating bridges between theoretical research and real-world applications.

Wolfgang Bitterمشاهده پروفایل

پژوهشگر

• Search as Learning
• Video-based Learning
• Multimodal Learning Resources
• +۳ مورد دیگر

Wolfgang Bitter is a Researcher at the German National Library of Science and Technology (TIB), part of the Leibniz Information Centre for Science and Technology. He is affiliated with the Visual Analytics research group within TIB's Research & Development division, focusing on the intersection of information retrieval, educational technology, and human-computer interaction. Dr. Bitter's primary research interests center around search as learning and video-based learning . His work specifically investigates how users gain knowledge through web search activities and how multimedia elements, particularly videos, impact the learning process. A core aspect of his research involves defining, analyzing, and predicting complexity in multimodal learning resources such as web pages or videos. His approach combines methods from information retrieval, learning analytics, and cognitive science to understand how different interface designs, visual elements, and resource formats affect knowledge acquisition during search activities. Analysis of Dr. Bitter's publication record reveals a consistent focus on understanding the cognitive processes involved in learning through information search. His research spans multiple disciplines including educational technology, human-computer interaction, information retrieval, and learning analytics. Key themes in his work include measuring knowledge gain during web search, analyzing the impact of visual complexity on learning outcomes, and developing methods to predict learning effectiveness from user interactions with multimodal resources. His research often employs eye-tracking data, user studies, and machine learning techniques to model and understand the search-as-learning phenomenon. Dr. Bitter collaborates extensively with researchers across multiple institutions, particularly with colleagues at the Leibniz Universität Hannover. His work bridges theoretical understanding of learning processes with practical applications for improving educational technologies and search interfaces. While specific grant information isn't provided in the available materials, his research appears to be supported through institutional funding at TIB and likely collaborative research projects with academic partners. As part of the Visual Analytics research group at TIB, Dr. Bitter contributes to the lab's mission of developing advanced methods for analyzing and visualizing complex data. The group focuses on applying visual analytics techniques to various domains including educational technology, sports science, and information retrieval. Dr. Bitter's specific contribution centers on applying these techniques to understand and enhance learning processes through search and video-based resources.

Dirk Blömkerمشاهده پروفایل

استاد

• Stochastic partial differential equations
• Surface growth
• Cahn-Hilliard equation
• +۱۱ مورد دیگر

Dirk Blömker is a Professor in the Institute of Mathematics at the University of Augsburg (since 2006). His research focuses on Stochastic Partial Differential Equations (SPDEs) with applications to surface growth models , phase separation (Cahn-Hilliard, Allen-Cahn), stochastic bifurcation , and multiscale analysis (amplitude/modulation equations, fast diffusion). He also works on filter theory (Ensemble Kalman) and numerics of SPDEs . Habilitation : RWTH Aachen (2006) Doctorate : University of Augsburg (2000) Diploma : University of Münster (1997) Intermediate Diploma : University of Münster (1993) Abitur : Gymnasium Lengerich (1989) His work spans rigorous mathematical analysis of SPDEs (existence/uniqueness, blow-up, regularity) and numerical methods (convergence analysis, a-posteriori bounds). Recent articles examine fractional noise, Lévy processes, and ensemble Kalman inversion. Collaborators include Luigi Bianchi, Claudia Schillings, and Philipp Wacker. He has held academic positions at RWTH Aachen (Assistant/Acting Lecturer), University of Bonn (Acting Lecturer), and University of Warwick (DFG Research Fellowship).

Klaes Björnمشاهده پروفایل

پژوهشگر

• Geochemistry
• Soil Genesis
• Biogeochemical Processes
• +۴ مورد دیگر

Dr. Björn Klaes is a Scientific Employee in the Department of Geology at the University of Trier , Germany. His research focuses on geochemical processes in diverse environments. Research Areas: Rock weathering biogeochemistry, fjord nutrient export dynamics, paleoclimate reconstructions, and environmental impacts of forestry operations. Key Projects: Investigated element transport in Patagonian fjords, analyzed stalagmite records for Holocene climate variability, and participated in multi-proxy studies of South African and Mongolian lake sediments. His recent publications (2022-2025) emphasize soil formation mechanisms , climate-soil interactions , and methodological developments in 3D geological modeling. Fieldwork spans from Patagonian Andes to Mongolian steppes. Contact: klaesb@uni-trier.de | Office: University of Trier, Campus II, Behringstraße 21, Trier

Markus Casperمشاهده پروفایل

استاد

• Hydrology
• Physical Geography
• Water Balance Modeling
• +۵ مورد دیگر

Markus Casper is a full professor at the University of Trier , holding a position in Physical Geography within Faculty VI . His career spans from being a Junior Professor (2003-2009) to a Universitätsprofessor (W2) since 2009. He has been involved in significant roles such as member of the University of Trier Senate, the DFG-funded Modelbildung und Simulation working group, and leadership in the German Hydrological Society. Education: Diplom in Geoökologie (University of Karlsruhe, 1995), Dr.-Ing. (University of Karlsruhe, 2002). Research Interests: Dr. Casper’s work focuses on hydrological modeling , catchment classification , and climate change impacts on water balance . Key projects include: DFG-funded mesoscale hydrological modeling with remote sensing data assimilation (2019-2022) SOFI : Smart soil information for farmers (BMEL-funded, 2019-2022) Catchment regionalization with Self-Organizing Maps (SOM) (DFG, 2012-2017) His research integrates groundwater-surface water interactions , soil erosion , and remote sensing for process identification. Scientific Trends: His recent articles emphasize multi-criteria model evaluation , machine learning (SOM) in hydrology , and uncertainty quantification in water balance simulations. Themes include climate nonstationarity , pedotransfer functions , and soil-vegetation-atmosphere modeling . Advising: He has supervised numerous doctoral students, including Gayane Grigoryan (climate impacts on water balance), Philipp Reiter (hydrological modeling), and Hadis Mohajerani (hydrological processes). Completed works address flood prediction , SVAT modeling , and land use sustainability . Labs & Teams: He leads the Modelbildung und Simulation working group at the University of Trier and collaborates with institutions like the University of Leipzig, FH Trier, and LUWG Mainz. His team utilizes GIS pools , hydrological test basins , and field laboratories for runoff and erosion studies.

• Metal-Organic Frameworks (MOFs)
• Nanoporous Materials
• Piezoelectricity
• +۸ مورد دیگر

Monique A. van der Veen is an Associate Professor in the Department of Chemical Engineering at Delft University of Technology , Netherlands. She obtained her PhD in 2010 from University of Leuven under Thierry Verbiest and Dirk De Vos. After postdoctoral work at University of Leuven and Max-Planck Institute of Polymer Research, she established her research group at TU Delft in 2013. Key Affiliations : Catalysis Engineering section, e-Refinery and Pro2Tech institutes Contact : +31 (0)15 27 86458 | M.A.vanderVeen@tudelft.nl | Building 58, E2.180 Research Interests focus on nanoporous materials for electronics, sensing, and separations. Key projects include: Ferroelectric MOFs for energy harvesting and flexible electronics Confined water clusters for desert air water harvesting Photocatalytic MOFs for solar fuel synthesis Ultrafast spectroscopy to study molecular dynamics Article Trends reveal expertise in Metal-Organic Frameworks (MOFs) , Covalent Organic Frameworks (COFs) , and hybrid materials . Her group combines experimental synthesis with computational screening and advanced spectroscopy . Scientific Recognition : ERC Starting Grant (2017) Athena Prize by NWO (2018) VIDI Grant by NWO (2020) Advising : Mentors PhD candidates Jelco Albertsma (CO adsorbent materials) and Chunyu Huang (MOF-based veterinary disease sensors). Labs : Leads research in e-Refinery and Pro2Tech institutes.