جست‌وجوی استاد و پژوهشگر

Will Crichtonمشاهده پروفایل

استادیار

• Programming Languages
• Human-Computer Interaction
• Type Systems
• +۴ مورد دیگر

Will Crichton is an Assistant Professor of Computer Science at Brown University. His research bridges programming language theory and cognitive psychology to improve developer experience, particularly in Rust and type systems. He has developed tools like Flowistry (Rust IDE plugin) and Argus (trait error debugger) used by over 100,000 developers. Education: PhD from Stanford University (2022), advised by Pat Hanrahan and Maneesh Agrawala Prior Roles: Postdoctoral researcher with Shriram Krishnamurthi at Brown University His research focuses on: Type Systems: Creating usable type-level programming frameworks like Tyrade Rust Ecosystem: Ownership models, trait error debugging, and learning tools Human Factors: Applying cognitive psychology to programming language design Key contributions include: Interactive visualizations for Rust (AquaScope) Scientific programming workshops and educational materials Foundational work on security type systems and session types in Rust

Karsten Nebeمشاهده پروفایل

استاد

• Usability Engineering
• Human-Centered Design
• Digital Manufacturing
• +۱۲ مورد دیگر

Karsten Nebe is a Professor of Usability Engineering and Digital Manufacturing at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences in Kamp-Lintfort, Germany. He has held this position since 2011 and also serves as the Program Director of the Master's program in Usability Engineering and Director of FabLab Kamp-Lintfort, one of the world's largest makerspaces. His academic background includes a doctorate in Computer Science with a minor in Psychology, focusing on the integration of software engineering and usability engineering in business processes. His research lies at the intersection of usability engineering, human-centered design, digital manufacturing, artificial intelligence, and innovation management . Key areas include user-centered development of interactive systems, maturity models for UX in enterprises, innovative human-machine interaction concepts, computational fabrication, and AI integration in software development. He also leads research in cross-innovation and sustainable design methodologies. His recent publications reflect a strong trend toward integrating human factors into assistive systems, evaluating ergonomic standards (DIN/ISO), and exploring AI’s role in human-centered development. He actively contributes to international standardization through DIN and ISO, particularly in usability and human-centered design domains. Best Student Paper Award (2023, Proceedings Healthcare and Medical Devices) 2nd Best Paper Award (2021, Fab16 Research Papers Stream) Prof. Nebe regularly supervises bachelor's and master's theses and leads collaborative research and contract innovation projects with industry. He offers consulting and training in human-centered design, design thinking, strategic UX integration, and AI-supported software development. He is deeply involved in practical collaborations, including contract research and innovation projects focused on technical prototyping in mechanics, electronics, and manufacturing. He leads the FabLab Kamp-Lintfort , a central facility supporting students and the community with access to modern fabrication technologies. He also co-founded the Cross Innovation Lab - Lower Rhine , fostering interdisciplinary innovation. The lab supports workshops, open access prototyping, and volunteer engagement in digital fabrication.

Christian Clemenمشاهده پروفایل

استاد

• Building Information Modeling (BIM)
• Geomatics
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Prof. Dr.-Ing. Christian Clemen is a faculty member at the Faculty of Spatial Information at HTW Dresden. He specializes in BIM-GIS interoperability , 3D modeling , and digital twin technologies, with a focus on standardization and practical implementation. Active in ISO/TC 59/SC 13/JWG 14 (BIM-GIS) and chairs the DVW AK3 'BIM' (2023–2026). Leads projects like VideoBIM , ClimaLiftControl , and BIM4HEI (ERASMUS+/EU). Develops open-source tools such as IfcTerrain for BIM-GIS data conversion. His research explores topological analysis , point cloud registration , and automated construction monitoring . Recent publications address BIM standardization , terrain modeling , and collaborative workflows . He supervises PhD students like Enrico Romanschek and has mentored graduates such as Tim Kaiser. Teaching includes modules like 3D Modeling , Coordinate Reference Systems , and Building Information Modeling (BIM) across geomatics and green tech programs. He serves as an External Examiner at TU Dublin and contributes to Leitfaden Geodäsie und BIM (Version 3.0).

Ines Schwarzbachمشاهده پروفایل

مدرس

• Geoinformatics
• GIS Applications
• Spatial Data Management
• +۴ مورد دیگر

Ines Schwarzbach serves as a Lecturer for Geoinformatics at the Dresden University of Applied Sciences within the Faculty of Spatial Information. She holds the position of Appointee for the laboratory of geoinformatics and for data processing, overseeing technical operations and educational resources in this specialized field. Her academic background includes a Diplom-Ingenieur (Dipl.-Ing.) degree, indicating completion of an advanced engineering program equivalent to a Master's degree in the German higher education system. This qualification forms the foundation for her technical expertise in geospatial technologies and systems. In her research, Schwarzbach focuses on practical applications of geospatial technologies with particular emphasis on: Development and implementation of GIS applications for diverse domains Spatial data management systems and database architectures Web-based geospatial services and interoperability standards Historical map georeferencing and digitization techniques Multimedia presentation of spatial-temporal relationships Evaluation and testing of geoportal software systems Integration of geospatial technologies with archaeological and cultural heritage documentation Her publication record demonstrates a consistent research trajectory from 2002 to 2020, showing evolution from foundational work on Web Map Servers to more sophisticated applications integrating GIS with historical documentation, archaeology, and multimedia presentation systems. A notable pattern in her work is the strong emphasis on practical implementation, educational aspects, and testing methodologies for geospatial technologies. Schwarzbach has secured and contributed to numerous research projects with external partners including: Dresden City Museums - Technical Collections (historical maps georeferencing project, 2018-2019) Technische Sammlungen Dresden (Camera City Dresden project, 2014-2017) Staatliche Kunstsammlungen Dresden (Modernism network exhibition visualization, 2012) MairDumont (SVG visualization methods for cartographic data, 2012) BTU Cottbus (CISAR archaeological information system development, 2007-2012) Saxon State Chancellery (eGovernment initiatives for geospatial services, 2006-2007) As Appointee for the laboratory of geoinformatics, she oversees the technical infrastructure for geospatial computing at the university, ensuring students have access to current technologies and methodologies. Her teaching portfolio includes core courses such as Application Development for Geomatics, GIS Applications, Spatial Data Management, and Geographic Information Systems across multiple degree programs in Geoinformatics and related fields.

Ambros Gleixnerمشاهده پروفایل

استاد

• Mathematical Optimization
• Operations Research
• Computational Mathematics
• +۷ مورد دیگر

Ambros Gleixner is a Professor at HTW Berlin since 2020 and an affiliated researcher at the Zuse Institute Berlin (ZIB) since 2008. His research focuses on computational aspects of mixed-integer linear and nonlinear programming, with emphasis on exact rational arithmetic and algorithm verification. PhD in Mathematics (2015), Technische Universität Berlin Diplom (MSc) in Mathematics (2008), Technische Universität Berlin Vordiplom (BSc) in Mathematics (2004), Universität Bayreuth His work spans mathematical optimization, operations research, and computational mathematics. At ZIB, he leads projects like developing the MINLP solver SCIP , the LP solver SoPlex , and verifying integer programming results through VIPR . Recent publications highlight advancements in exact rational MIP, GPU-parallel algorithms, and energy system optimization. Scientific Awards : MERIT Visiting Scholar at University of Melbourne (2013) Teaching : Offers bachelor's theses in optimization and computational mathematics. Requires students to have attended relevant seminars and possess programming skills. Office hours by email appointment through Ambros.Gleixner@HTW-Berlin.de . Labs & Teams : Principal investigator at ZIB's Mathematical Algorithmic Intelligence division, Research Campus MODAL , and Linear, Integer, and Constraint Programming project.

• Database Systems
• Natural Language Processing
• Digital Forensics
• +۵ مورد دیگر

Antje Raab-Düsterhöft is a researcher at Hochschule Wismar with a distinguished academic career spanning over three decades, evidenced by her continuous publication record from 1993 to 2024. Her work demonstrates sustained research activity and significant contributions to multiple areas within computer science. Her primary research interests include: Database Systems and Conceptual Modeling Natural Language Processing for Database Interfaces Digital Forensics and Cybersecurity Information Retrieval and Web Search Technologies Social Media Analysis Human-Computer Interaction Analysis of her publication history reveals a clear evolution in research focus. She began with foundational work in database design and natural language interfaces in the 1990s, progressed to linguistic-based search facilities in the early 2000s, and has more recently focused on digital forensics, social media analysis, and advanced cybersecurity topics. Her 2024 publications on data security and forensic strategies for software-defined networks demonstrate her continued relevance in addressing contemporary technological challenges. Dr. Raab-Düsterhöft has maintained extensive research collaborations throughout her career, most notably with Bernhard Thalheim (15 co-authored publications), Meike Klettke (9 publications), Andreas Heuer (7 publications), and Edith Buchholz (7 publications). These long-term partnerships indicate her integration within established research communities and her collaborative approach to academic work.

Vivek Hari Sridharمشاهده پروفایل

پژوهشگر

• Collective Behavior
• Movement Ecology
• Decision-Making
• +۴ مورد دیگر

Dr. Vivek Hari Sridhar is a post-doctoral researcher at the Max Planck Institute of Animal Behavior in Konstanz, Germany, affiliated with the Department for the Ecology of Animal Societies . His research focuses on spatiotemporal computation in biological systems, particularly how individual neural interactions drive collective decision-making and movement patterns in animals. Education Bachelors: Manipal Institute of Technology (2008–2012) Masters: Erasmus Mundus Masters Programme in Evolutionary Biology (2013–2015) PhD: International Max Planck Research Society for Organismal Biology/University of Konstanz (2015–2020) Research Interests Dr. Sridhar investigates how simple neural interactions scale to emergent group-level behaviors in animal collectives, using tools from computer vision, machine learning, statistical physics, and individual-based modeling. His work bridges the gap between individual decision-making and collective dynamics across evolutionary timescales. Software Development He is the primary developer of Tracktor , an open-source OpenCV-based object tracking software designed for analyzing animal behavior in diverse environments. The tool supports single- and multi-object tracking while maintaining identity, with applications in adaptive thresholding and spatiotemporal data extraction.

Jacob M. Gravingمشاهده پروفایل

پژوهشگر

• Animal Behavior
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Jacob M. Graving is a Research Scientist at the Max Planck Institute of Animal Behavior, working in the Advanced Research Technology (ART) Unit within Central Scientific Services. Based in Konstanz, Germany, he focuses on developing advanced computational methods for measuring and analyzing animal behavior in both laboratory and field environments. Dr. Graving's research spans the intersection of artificial intelligence, data science, and animal behavior. His work combines computer vision, deep learning, and Bayesian statistical methods to create scalable, interpretable tools for behavioral analysis. He collaborates extensively with neuroscientists, biologists, physicists, and engineers to develop end-to-end pipelines from experimental design to computational analysis. A central theme in his research is building AI systems that go beyond prediction to test hypotheses and reveal scientific mechanisms. His publication record shows consistent contributions to understanding collective animal behavior, with recent work on locust swarming mechanisms challenging traditional alignment-based theories. His research demonstrates how AI can be used not just for prediction but for hypothesis testing and revealing underlying biological mechanisms. Dr. Graving leads the development of open-source tools like DeepPoseKit, which has been featured in prestigious outlets including Quanta Magazine, Nature Methods, and Nature News & Views. His work on drone-based tracking systems and automated barcode systems for animal tracking demonstrates his commitment to developing practical, field-deployable technologies. He maintains active engagement with the scientific community through GitHub, Bluesky, and academic conferences, reflecting his dedication to open science and interdisciplinary collaboration.

Jim Hollanمشاهده پروفایل

استاد مهمان

• Human-Computer Interaction
• Distributed Cognition
• Multimodal Interfaces
• +۳ مورد دیگر

Jim Hollan is a Visiting Professor at the Department of Cognitive Science, University of California, San Diego (UCSD), and codirector of the Distributed Cognition and Human-Computer Interaction Lab. He is a pioneer in bridging digital and physical worlds through multimodal interfaces, paper-digital integration, and activity-enriched computing. His collaborative research spans human-computer interaction, distributed cognition, and medical informatics. Research Interests : Human-Computer Interaction, Distributed Cognition, Multimodal Interfaces, Paper-Digital Integration, Activity Tracking, Collaborative Interaction Scientific Awards : SIGCHI Lifetime Research Award Honorable Mention Award at CHI 2021 Publication Trends : Recent work focuses on visualization psychology, audiovisual data analysis, computational notebooks, and 4D interaction models, often addressing cognitive consequences of technology, multimodal healthcare interfaces, and activity history mining. Students & Collaborators : Amaya Becvar Weddle (PhD, 2008), Gaston Cangiano (Ph.D., 2011), Anne Marie Piper (Ph.D., 2011), Adam Rule (Ph.D., 2018), Amy Rae Fox (Ph.D., 2022), Arvind Satyanarayan (Honors UCSD CS, Ph.D. Stanford 2017), and others across Cognitive Science, Computer Science, and Sociology.

• Econometrics
• Time Series Analysis
• Statistical Learning
• +۶ مورد دیگر

Karsten Reichold is an Assistant Professor at TU Wien, affiliated with the Institute of Statistics and Mathematical Methods in Economics within the Faculty of Mathematics and Geoinformation. His research bridges econometrics, time series analysis, and statistical learning, with a focus on robust inference in cointegrating regressions and forecasting applications in macroeconomics. His research interests include: Econometrics and time series modeling Statistical learning methods in economics Bootstrap and resampling techniques Empirical macroeconomic forecasting Stochastic processes and cointegration Panel data and polynomial cointegration The recent publication trend indicates a strong methodological focus on bootstrap inference, particularly self-normalized test statistics in cointegrating regressions, with implementation provided through open-source MATLAB code. His work emphasizes practical, ready-to-use econometric tools for robust statistical inference. Karsten Reichold has not been mentioned as receiving any scientific awards in the provided material. He is actively involved in teaching, offering courses such as Selected Topics in Econometrics, Stationary Processes and Time Series Analysis, and Introduction to Stochastic Processes. No information is available regarding student advisement or external research grants. He contributes to the academic community by sharing reproducible research code on GitHub. He leads and maintains research software repositories related to cointegration and panel FM-OLS estimation, promoting open science and computational reproducibility in econometrics.

Ute Susanne Kadenمشاهده پروفایل

پژوهشگر

• Ecology
• Environmental Science
• Conservation Biology
• +۵ مورد دیگر

Dr. Ute Susanne Kaden is a researcher at the Helmholtz Centre for Environmental Research (UFZ) , Department of Conservation Biology and Social-Ecological Systems, where she has worked since 2017. She completed her PhD at the University of Natural Resources and Life Sciences, Vienna in 2024, following an M.Sc. and B.Sc. in Geoecology from TU Bergakademie Freiberg (2016, 2014). Her research focuses on nitrogen dynamics in floodplains , denitrification quantification , and restoration of wetland complexes for climate adaptation and biodiversity conservation. Her work addresses critical projects such as: AZOTE : Nitrate retention in riparian zones ElBiota : Biodiversity in Elbe floodplains BioClim-Wetlands : Climate adaptation through wetlands Restore4Life : Wetland restoration in Danube Basin SpongeBoost : Green infrastructure for freshwater ecosystems Her peer-reviewed publications (2018–2024) demonstrate expertise in: Nitrogen cycling in groundwater-river interaction zones Quantifying denitrification potentials Hydromorphological controls on floodplain ecosystems Software tools for inundation mapping (QGIS plugin) Transboundary wetland restoration strategies

• Neuroimaging
• Neuroinformatics
• Cognitive Neuroscience
• +۳ مورد دیگر

Volkmar Glauche is a Researcher at the Freiburg Brain Imaging Center (FBI) within the University of Freiburg. He leads the AG Glauche research group, specializing in the development and extension of the Statistical Parametric Mapping (SPM) software package, originally developed at the Wellcome Department of Cognitive Neurology. His work focuses on enhancing SPM's capabilities through MATLAB-based tools, including pipeline configuration systems and specialized toolboxes. The group contributes to neuroimaging analysis by creating open-source solutions such as the MATLAB Batch System and SPM extensions (Volumes, Diffusion, Render3D toolboxes). He is based at the Neurozentrum (Breisacher Straße 64, Freiburg) and the Department of Psychiatry and Psychotherapy (Hauptstraße 5, Freiburg).

• Data Science
• Network Science
• Computational Social Science
• +۵ مورد دیگر

Yu-Ru Lin is an Associate Professor at the School of Computing and Information , University of Pittsburgh , and serves as Research & Academic Director at the Institute for Cyber Law, Policy and Security (Pitt Cyber) . With secondary appointments in Political Science, Computer Science, and the Intelligent Systems Program, their interdisciplinary work bridges computational methods with social science inquiry. Research interests focus on: Social and political network analysis Computational social science Data mining and visualization Digital accountability in political communication Policy diffusion analytics Trust-distrust dynamics in networked societies Key research themes include: Developing network theories for misinformation and extremism Designing visual analytics for policy diffusion and group bias detection Studying collective behavior during emergencies Creating computational tools for social data analysis Major grants include NSF awards for: Public policy diffusion analytics COVID-19 misinformation mitigation Urban mobility and smart city initiatives Understanding extremism in cyber-social spaces Scientific leadership roles: Editor-in-Chief of ICWSM Editorial board member at Frontiers in Big Data, EPJ Data Science, PLOS ONE, and Nature Scientific Reports Co-chair roles at KDD Humanitarian Mapping Workshop, WWW Web & Society Track, and multiple SBP-BRiMS graduate programs As founder of the Pitt Computational Social Dynamics Lab (PICSO LAB) , they lead research on social media analysis, network modeling, and urban informatics through projects like PittSmartLiving – a $1.4M NSF-funded initiative exploring real-time transit incentives and community engagement.

Holger Dellمشاهده پروفایل

دانشیار

• Algorithms
• Computational Complexity
• Parameterized Complexity
• +۷ مورد دیگر

Holger Dell is an Associate Professor at the IT University of Copenhagen, where he conducts research and teaching in theoretical computer science, with a focus on algorithms and complexity. He has previously held positions as Professor at Goethe University Frankfurt, Independent Research Group Leader at Saarland University, and postdoctoral fellow at UC Berkeley, Paris Diderot, and UW Madison. Research Interests: His research centers on the design of efficient algorithms for discrete problems and proving intractability results. Key areas include combinatorial counting problems, algebraic graph algorithms, and complexity theory, with recent work on solving polynomial equations over finite fields and the parameterized complexity of network dynamics. Recent Publications: His recent publications reflect a strong emphasis on theoretical foundations and algorithmic problem-solving in discrete mathematics and network systems. They span topics from computational algebra to dynamic network models, showing a deep integration of mathematical theory and computer science. Scientific Awards: No specific awards mentioned in the provided text. Teaching and Advising: Holger is deeply committed to innovative teaching, particularly through alternative grading systems like Grading for Growth . He is currently developing Algo-Learn , a self-testing e-learning platform that automatically generates and grades exercises for undergraduate algorithms and data structures courses. There is no mention of formal PhD or Master’s advisees in the provided content. Grants: He leads a DFG-funded project on the parameterized complexity of network dynamics, indicating active external research funding. Labs and Teams: While no formal lab name is provided, his GitHub repositories and research projects suggest he collaborates on algorithm visualization tools and open-source scientific software. His work on the color refinement algorithm demo and the COVID-19 plots indicates engagement in both educational and public-interest computing projects.

Steffen van Bergeremمشاهده پروفایل

پژوهشگر

• Logic in Computer Science
• Finite Model Theory
• Complexity Theory
• +۵ مورد دیگر

Steffen van Bergerem is a postdoctoral researcher at the Institute of Computer Science, Humboldt University of Berlin, within the Faculty of Mathematics and Natural Sciences. He is affiliated with the Chair of Logic in Computer Science under Prof. Dr. Nicole Schweikardt, where he conducts research in logic, complexity, and computational learning theory. His research focuses on the intersection of logic and computational complexity, particularly in finite model theory and descriptive complexity of learning. His work bridges theoretical computer science with machine learning foundations, aiming to characterize learning problems through logical definability. He has contributed to academic service through co-organizing the Logic Mentoring Workshop (with LICS 2023 and CSL 2024/2025) and participating in Dagstuhl seminars and research camps. He has served as a reviewer for major conferences including LICS, STACS, MFCS, and CSL. Reviewer, LICS 2024 Reviewer, STACS 2024 Reviewer, MFCS 2023 Reviewer, IPEC 2023 Reviewer, CSL 2023, CSL 2022 Reviewer, WoLLIC 2021 Steffen has mentored students at RWTH Aachen and Humboldt University, supervising bachelor’s and master’s theses, proseminars, and practical labs on topics such as information theory and search games on graphs. He has taught courses including Formal Systems, Automata, and Processes; Complexity Theory; and a graduate course on Graph Decompositions. He is active in open-source software development, contributing to projects like markdown-it and markdown-it-sanitizer, and maintains a GitHub presence with involvement in the logic-mentoring-workshop community.