جست‌وجوی استاد و پژوهشگر

Mahnoor Shahidمشاهده پروفایل

پژوهشگر

• Neuro Symbolic AI
• Symbol Grounding
• Natural Language Processing
• +۶ مورد دیگر

Mahnoor Shahid is a Researcher at the University of Duisburg-Essen , affiliated with the Faculty of Computer Science and the Chair of Information Systems and Sustainable Supply Chain Management . Specializes in Neuro Symbolic AI , aiming to create explainable and adaptable AI systems PhD candidate with prior experience as a Research Assistant at DFKI Education : B.Sc. Computer Science (NED University, Pakistan, 2014-2017) M.Sc. Data Science and Artificial Intelligence (Saarland University, Germany, 2020-2023) Research Interests : Symbol Grounding and Common Sense Reasoning in AI Natural Language Processing and Language Models Domain Adaptation and Transfer Learning Machine Learning Privacy for responsible AI Recent Research Trends : Developing neuro-symbolic architectures for generalization and compositional reasoning Advancing NILM (Non-Intrusive Load Monitoring) with domain adaptation techniques Exploring prompt analysis in LLM platforms for inverse generativity Building python packages for BERT probing and joint learning Applying creative AI to text-to-image generation Investigating web security through ML-based threat detection Labs & Projects : Active in the Rhine-Ruhr Institute of Information Systems Maintains open-source python packages for NILM analysis Key contributor to tools like nilm_analyzer and nilm_analyzer_tutorials

• Control Systems
• Wireless Communications
• Network Optimization
• +۳ مورد دیگر

Dr. Michael Reyer is a Professor and holds the Chair of Intelligent Control Systems at the Faculty of Electrical Engineering and Information Technology, RWTH Aachen University. He serves as Deputy Chair and is based at the ICT Cube 1 in the Electrical Engineering building (room 302) at Kopernikusstr. 16, Aachen. His primary research areas include: Control Systems and Intelligent Automation Wireless Communications (LTE, OFDM, MIMO) Network Optimization and Resource Allocation Machine Learning for Communication Networks Natural Language Processing for Social Media His publication record from 2011 to 2021 demonstrates a dual focus: advancing wireless network technologies (including cognitive radio, LTE planning, and MIMO channel modeling) and developing NLP techniques for social media analysis. This interdisciplinary work bridges electrical engineering and computer science, with applications in 4G/5G networks and user-generated content processing. As head of the Chair of Intelligent Control Systems, he leads research efforts in intelligent control and communication systems at RWTH Aachen University.

Nadine Ansorgمشاهده پروفایل

مدرس

• Post-conflict transformation
• Security sector reform
• Peacekeeping
• +۳ مورد دیگر

Dr. Nadine Ansorg is a Lecturer in International Conflict Analysis at the University of Kent, specializing in post-conflict institutional reform and security sector governance. With extensive fieldwork experience in Sub-Saharan Africa (DR Congo, Togo, Burkina Faso), her research bridges academic analysis with policy-oriented solutions for sustainable peace. Current Affiliation: University of Kent (since 2017) Past Roles: Research Fellow at GIGA Institute for African Affairs (2016-2017), Post-Doctoral Researcher at University of Kent (2015-2016) Research Focus: Combines feminist and intersectoral approaches to examine security sector reform (SSR) frameworks across 42 post-conflict societies. Analyzes amnesty laws' impact on societal impunity through historical institutionalist perspectives. Investigates regional conflict dynamics in East Africa and comparative institutional configurations for divided societies. Key Contributions: Authored seminal work on state-society relations in SSR, co-developed the Justice Sector Governance and Reform Dataset. Her research has informed policy debates through participation in conferences like the Conflict Research Society Annual Conference and British International Studies Association events.

Rainer Schweickertمشاهده پروفایل

پژوهشگر ارشد

• Monetary Aspects of Regional Integration
• Institutional Economics
• Macroeconomic Stability
• +۳ مورد دیگر

Rainer Schweickert is Senior Research Fellow at the Kiel Institute for the World Economy, affiliated with Kiel University. He holds a Diplom (MA) in Economics from University of Mannheim (1988) and PhD from Kiel University (1993). Since 1988, he has researched monetary and institutional aspects of regional integration, macroeconomic stability in transition economies, and European Neighbourhood Policy. Schweickert's work examines how economic systems shape policy outcomes, comparing institutional frameworks across developed and developing nations. His research analyzes varieties of capitalism, reform implementation challenges, and EU integration dynamics. Publications demonstrate consistent focus on institutional economics, with recent works examining political business cycles, public debt dynamics, and transition economies. Methodologically, his approach combines comparative institutional analysis with macroeconomic modeling. As Head of Research Grants (2007-2020) and LEAR for EU Projects (2015-2020), Schweickert managed international research collaborations. His work informs policy discussions on European integration, transition economies, and development strategies. He has led projects analyzing institutional convergence in Central and Eastern Europe and drivers of governance quality in resource-dependent economies.

• Information Systems
• Digital Collaboration
• IT Project Teams
• +۶ مورد دیگر

Yulin Fang is a Professor in the Department of Information Systems at the College of Business, City University of Hong Kong. With an extensive publication record spanning over two decades, Professor Fang has established herself as a leading researcher in information systems, particularly in digital collaboration, team creativity, and knowledge management. Her research has appeared consistently in top-tier journals including MIS Quarterly, Information Systems Research, and Journal of Management Information Systems. Professor Fang's research interests encompass Information Systems, Digital Collaboration, IT Project Teams, Knowledge Management, Social Media in Business, E-commerce, Crowdfunding, Agricultural Computing, and Generative AI Applications. Her work demonstrates a progression from foundational IS topics to contemporary issues, with recent publications focusing on UAV-based agricultural monitoring and generative AI applications. This evolution reflects her ability to adapt research focus to emerging technological trends while maintaining rigorous theoretical foundations. Her most recent publications (2024-2025) reveal a strong focus on practical applications of emerging technologies, particularly in the areas of team creativity with collaboration tools, generative AI impacts on work processes, and agricultural technology applications. The research shows interdisciplinary connections between information systems, organizational behavior, and domain-specific applications. Professor Fang has maintained long-term research collaborations with scholars including Kai H. Lim (23 publications), Huifang Li (15 publications), and Heshan Sun (12 publications), indicating stable research partnerships that have produced significant scholarly contributions over time. Her advising and grant activities are not explicitly detailed in the publication record, but her extensive publication output suggests successful research funding and mentorship of junior scholars. Professor Fang's lab or research group appears to focus on digital collaboration environments, with recent work expanding into agricultural technology applications.

• Computer Science Education
• Artificial Intelligence Education
• K-12 Computer Science
• +۵ مورد دیگر

Fred G. Martin is a Professor in the Department of Computer Science at the University of Massachusetts Lowell's Manning College of Information Sciences. With a research career spanning over 25 years, his work has evolved from foundational educational robotics in the 1990s to contemporary AI literacy initiatives for K-12 students. His current research focuses on developing accessible tools and curricula that make artificial intelligence concepts tangible for middle school learners. Dr. Martin's research interests center on computer science education, particularly AI education for K-12. His work bridges theoretical computer science concepts with practical, age-appropriate learning experiences. He has pioneered approaches to teaching machine learning concepts through interactive tools like TrainYourSnakeAI for reinforcement learning and ChemAIstry for model training. His research consistently emphasizes ethical considerations in AI education, as seen in projects like AI MyData that integrate ethics into machine learning curricula. Martin's work demonstrates how complex AI concepts can be made accessible through carefully designed educational interfaces that balance engagement with conceptual accuracy. Analysis of Martin's recent publications reveals a clear trajectory toward increasingly sophisticated AI education tools for younger learners. His work has evolved from general computational thinking and robotics education to specialized AI literacy frameworks. The research shows strong emphasis on three interconnected themes: 1) developing age-appropriate metaphors for complex AI concepts, 2) creating interactive software tools that make abstract concepts tangible, and 3) investigating how students' mental models of AI develop through structured learning experiences. His collaborations often involve interdisciplinary teams including computer scientists, education researchers, and classroom teachers. Dr. Martin has been instrumental in building professional networks for computer science educators, particularly through projects that connect university researchers with K-12 teachers. His work on 'Building Teacher and Community Networks for Sustainable Middle School Computer Science Education' demonstrates his commitment to creating sustainable models for CS education beyond isolated curriculum initiatives. He has secured substantial research funding for projects focused on AI education, as evidenced by the scale and scope of his collaborative work across multiple institutions. Through initiatives like the 'iSENSE' project and more recent AI education tools, Martin has established research environments that bridge university labs with classroom settings. His work often involves creating physical or digital 'exhibits' that allow students to interact with AI concepts in hands-on ways, reflecting his longstanding interest in tangible interfaces for learning. These environments serve as testbeds for both educational research and practical curriculum development.

Casey Kenningtonمشاهده پروفایل

دانشیار

• Interactive Spoken Dialogue Systems
• Semantics
• Human-Robot Interaction
• +۳ مورد دیگر

Casey Kennington is an Associate Professor in the Department of Computer Science at Boise State University. His primary research focuses on interactive spoken dialogue systems, semantics, human-robot interaction, and language acquisition. He leads the Speech, Language and Interactive Machines Group (SLIM Group), which explores embodied AI, incremental processing, and multimodal interaction. His work bridges computational linguistics, robotics, and cognitive science, with applications in education and healthcare. Key research areas include: Dialogue Systems: Developing incremental and multimodal dialogue frameworks for real-time human-robot interaction. Language Grounding: Investigating symbol grounding through object permanence and perceptually-driven models. Child Language Acquisition: Improving ASR for children and designing child-oriented spellcheckers like KidSpell. Robotics: Building systems that integrate emotion displays and multimodal learning for social robots. Notable contributions include the OpenDial toolkit for probabilistic dialogue systems and the PentoRef corpus for task-oriented dialogue analysis. His work emphasizes ethical AI design, particularly in child-robot interactions and educational technologies. Awards and recognition are not explicitly listed in the provided texts, though his impactful research in dialogue systems and robotics is widely cited in venues like ACL, SIGDIAL, and LREC. He actively contributes to conferences such as the Workshop on Dialogue and Robots (SLIVAR) and collaborates on interdisciplinary projects with educational institutions and industry partners.

• Neuroscience
• Neurophysiology
• Systems Neuroscience
• +۵ مورد دیگر

Professor Björn Kampa is a faculty member at RWTH Aachen University specializing in Molecular and Systemic Neurophysiology. Based at Worringerweg 3, Building 5350, Room 0.113 in Aachen, Germany, he leads research on cortical circuit function and neuronal development. His work bridges experimental neurophysiology with computational approaches to investigate fundamental brain mechanisms, particularly in visual processing and neural plasticity. Contact is available via kampa@brain.rwth-aachen.de. Dr. Kampa's research spans Systems Neuroscience , Molecular Neuroscience , and Computational Neuroscience , with emphasis on cortical circuit dynamics, dendritic physiology, and sensory processing. He employs advanced techniques including two-photon calcium imaging, electrophysiology, and computational modeling to study neuronal maturation, visual perception, and the impact of genetic modifications on brain function. His work frequently examines mouse models of retinal degeneration and cortical interneuron function. Analysis of his 2023-2025 publications reveals three dominant research thrusts: First, visual system neuroscience exploring cortical plasticity in degenerative models and sensory enhancement mechanisms. Second, neuronal development focusing on human neuron maturation and dendritic spine dynamics. Third, computational neurotechnology developing spike sorting tools, holography frameworks, and network analysis methods. These themes consistently integrate experimental data with theoretical modeling to address fundamental questions in cortical function.

• Library Management
• Library Architecture
• Cultural Spaces Design
• +۳ مورد دیگر

Dr. Jonas Fansa serves as a Lecturer and Director of the Central and State Library Berlin, actively participating in the Board of Directors. His professional focus centers on library management and architectural design, with significant contributions to the strategic development of cultural infrastructure in Berlin. He has been instrumental in advocating for sustainable building practices, innovative space utilization, and community-oriented library projects. His work frequently explores the intersection of public institutions with urban development, emphasizing the role of libraries as vital civic spaces. Fansa's research spans over two decades, addressing topics such as library site selection (e.g., Galeries Lafayette proposal), participatory design processes (2018), and the integration of journalism with library services (2019). He has consistently promoted sustainable reuse of buildings and experimental architectural concepts like temporary extensions. His writings frequently appear in journals like BuB and Library Research and Practice . His publications highlight trends in library architecture emphasizing functional efficiency (2020), cultural policy analysis (2023), and future-oriented visions for libraries (2017). Despite prolific output, no formal scientific awards are noted. His advisory roles and institutional projects reflect a commitment to both traditional library functions and innovative, forward-thinking approaches to cultural spaces. Fansa collaborates with architectural firms and municipal bodies, exemplified by his leadership in the Central and State Library’s expansion initiatives. His work underscores libraries' evolving role as hubs for community engagement and cultural preservation in urban environments.

• Neural Mechanisms of Information Processing
• Color Vision
• Vision and Eye Movements
• +۳ مورد دیگر

Prof. Dr. Thomas Wachtler is a Professor and Group Leader in the Department of Computational Neuroscience at the Faculty of Biology, Ludwig-Maximilians-Universität München. He directs the INCF G-Node, a key neuroinformatics initiative focused on data management standards. His research bridges sensory neuroscience and computational modeling, emphasizing invariant representations in visual processing, color perception, and the impact of eye movements on neural coding. Collaborating with interdisciplinary teams, he develops tools for neurophysiological data storage and sharing (e.g., odML, NIX format) to ensure reproducibility in neuroscience. Education: Doctorate in Neuroscience (exact details not specified in text) Affiliations: German Neuroinformatics Node (G-Node), RTG 2175: Perception in Context and its Neural Basis Research interests include: - Contextual computations in color vision - Neural mechanisms compensating eye movement effects - Neuroethology of honeybee communication (vibration signals) - Open science practices and FAIR data standards Key contributions: - Developed metadata standards (odML) and data formats (NIX) - Investigated Bayesian priors in hue perception - Analyzed saccadic remapping of visual context Lab members include PhD candidates like Reema Gupta and Felix Schrader, focusing on perception, neuroethology, and data workflows. Active in national (NFDI-Neuro) and international (INCF) initiatives to advance neuroscience research infrastructure.

Nathalie Bredellaمشاهده پروفایل

استاد

• Architectural History
• Media and Technology Studies
• Gender Studies
• +۳ مورد دیگر

Prof. Dr. Nathalie Bredella is Chair of Architectural Theory at Leibniz University Hannover. Her work bridges architectural history with media/technology studies, focusing on digital transformation and gender studies. She holds a doctorate from Leibniz University Hannover and habilitation from ETH Zürich. She has held visiting professorships at TU Munich, Karlsruhe Institute of Technology, and Berlin University of the Arts. Key research areas include architectural media theory, urban studies, and digital tool agency. Education: Architecture degrees from TU Berlin and Cooper Union New York, followed by doctoral studies at Leibniz Hannover and habilitation at ETH Zürich. Research emphasizes the digital turn in architecture, media infrastructures, and gendered dimensions of built environments. Publications include monographs like The Architectural Imagination at the Digital Turn (2022) and edited volumes on computational design and urban soundscapes. Awards include fellowships at IKKM Weimar and MECS Leuphana. Active in international collaborations, including guest lectures at ETH Zurich and leadership in feminist digital architecture studies.

• Galaxy Formation
• Intergalactic Medium
• Cosmological Simulations
• +۳ مورد دیگر

Joop Schaye is a Professor at Leiden Observatory, Leiden University, specializing in galaxy formation and the intergalactic medium. He leads research on cosmological hydrodynamical simulations including the FLAMINGO and COLIBRE projects, with past work on OWLS and EAGLE. He teaches advanced courses including 'Large-scale structure and galaxy formation' and supervises multiple PhD students and postdoctoral researchers. Professor Schaye's research focuses on understanding galaxy formation processes and the properties of the intergalactic medium. His work heavily utilizes cosmological hydrodynamical simulations to model complex astrophysical phenomena. Current projects include FLAMINGO and COLIBRE, while past simulation efforts encompass OWLS and EAGLE. His research group investigates various aspects of galaxy evolution, gas dynamics in galaxy clusters, and the connections between dark matter halos and observable galaxy properties. Analysis of Professor Schaye's recent publications reveals a strong focus on galaxy formation simulations, particularly examining feedback mechanisms, metal enrichment processes, and the properties of galaxy groups and clusters. His work frequently utilizes data from the EAGLE simulation suite and observational surveys like MUSE. Recent research emphasizes the connections between gas flows, galaxy properties, and the role of numerical methods in accurately modeling astrophysical phenomena. Scientific Awards: No specific scientific awards were mentioned in the available information. Professor Schaye supervises a research group comprising multiple PhD students including Jeger Broxterman, William McDonald, and Elia Pizzati, as well as several postdoctoral researchers. His group receives funding for research on galaxy formation simulations and observational studies of galaxy evolution. Current projects include FLAMINGO and COLIBRE, building on the successful EAGLE simulation project. Professor Schaye leads a research group at Leiden Observatory focused on galaxy formation simulations and observational studies. His team includes PhD students, postdoctoral researchers, and associates. The group collaborates on major simulation projects including FLAMINGO and COLIBRE, and participates in observational surveys such as MUSE. The group maintains a strong presence in the international astrophysics community through publications and collaborations.

Yvonne Brandenburgerمشاهده پروفایل

استاد

• Architectural Design
• Urban Planning
• Virtual Reality (VR) Applications
• +۴ مورد دیگر

Prof. Yvonne Brandenburger is a Professor of Architectural Planning and Design at the University of Applied Sciences Erfurt, and serves as Vice-President for Research and Transfer, as well as 1st Deputy of the President. Her work focuses on digital transformation in construction, virtual reality (VR) applications for cultural heritage preservation, and sustainable building practices. She leads projects like the 'XR-Partizipationsräume' initiative for social inclusion in urban development and the 'DigiLearnBIM' educational platform. Her research spans BIM implementation, cost efficiency in construction, and Bauhaus VR reconstructions, collaborating with institutions like the University of Erfurt and Friedrich-Schiller-Universität Jena. Brandenburger chairs the VDI Guideline Committee for economic efficiency in building elements and holds roles in the German Research Foundation's Architecture and Civil Engineering board, the Thuringian Chamber of Architects, and buildingSMART Germany. Her research projects include federal and state-funded programs on sustainable housing, LCC integration in planning, and VR museology. She actively publishes on digital tools in architecture education and has exhibited VR reconstructions across Germany, including at the Bauhaus Museum Weimar and Leipzig's National Library. Her grants include BMBF funding for interactive urban XR systems (2021-2024), Thuringian support for VR museum projects (2020-2022), and federal initiatives on affordable housing design. She bridges academia and industry through BIM digitization projects and advises on policy for cultural digitization and construction innovation.

• Artificial Intelligence
• Natural Language Processing
• Linked Data
• +۸ مورد دیگر

Professor Kai Eckert holds the position of Professor for Artificial Intelligence at the Department of Computer Science, Mannheim University of Applied Sciences since March 2023. His research focuses on Artificial Intelligence, Natural Language Processing, Linked Data, and their applications in Social Sciences, Information Science, and Digital Humanities. He has contributed to projects like JudaicaLink and Linked Open Citation Database, emphasizing data integration and provenance. Research Interests: His work spans AI-driven solutions for data management, semantic technologies, and domain-specific knowledge bases. Notable areas include RDF validation, metadata modeling (RDF-Star, Named Graphs), and cross-lingual summarization (X-SCITLDR). He explores ethical and technical aspects of data provenance in scholarly communication and library systems. Publications: Over 35+ peer-reviewed works since 2007. Key themes include semantic web applications, metadata provenance (e.g., Dublin Core extensions), and crowdsourced ontology development. Recent trends highlight AI in social networks (cyberbullying detection) and multilingual NLP systems. Grants & Collaboration: Active in EU-funded initiatives and international conferences (e.g., ISWC, ESWC). Developed tools like Semtinel for interactive indexing and ICE-Map for KOS evaluation. Collaborates with institutions like Stuttgart Media University and Springer.

Bastian Schröterمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Urban Energy Transition
• Decarbonization Strategies
• +۴ مورد دیگر

Prof. Bastian Schröter is a Professor of Energy Technology at the University of Applied Sciences Stuttgart, focusing on sustainable energy systems and urban decarbonization. He holds a PhD from the University of Augsburg and has extensive industry experience with Siemens and McKinsey. His research emphasizes regional energy transition, greenhouse gas accounting, and water-energy interactions. Education: PhD (Dr. rer. nat.) in Environmental Science, University of Augsburg (2010-12) M.Sc. Physics, Universities of Jena, Grenoble, and Munich (2002-07) Research Interests: Urban energy systems and decarbonization strategies GIS-based modeling for renewable energy potential analysis Policy frameworks for sustainable infrastructure His projects include SektorSim³ (mobility-energy transition) and CircularGreenSimCity (resource-efficient urban planning). Grants & Projects: Funded by BMWi and BMBF for EnSys-LE (local energy markets) and INSOURCE (food-water-energy nexus) EU Horizon Project W4RES (women in renewable energy) Awards & Roles: Member of Stuttgart's Climate Innovation Council Alumni of the German Academic Scholarship Foundation Labs/Teams: Leads the Competence Center for Sustainable Energy Technology at HFT Stuttgart, collaborating with institutions like ewi Research & Scenarios and the City University of New York.