جست‌وجوی استاد و پژوهشگر

• Energy Efficient Buildings
• Indoor Climate
• Energy System Optimization
• +۴ مورد دیگر

Dr.-Ing. Rita Streblow is a leading researcher at RWTH Aachen University's Institute for Energy Efficient Buildings and Indoor Climate, where she heads the Digital Energy Neighbourhoods team (since 2021). Formerly, she served as Chief Engineer at the same institute (2007-2023) and held a professorship in Digitale Vernetzung von Gebäuden, Energieversorgungsanlagen und Nutzenden at Technische Universität Berlin (2019-2024). Since 2025, she has been an Associate Member of the Einstein Center Digital Future. She earned her doctorate from RWTH Aachen in 2011 with a thesis on thermal comfort modeling. Her research spans energy-efficient building systems , smart grid integration , and HVAC optimization , with focal areas including: Digitalization of energy neighborhoods and local market mechanisms Thermal comfort modeling for inhomogeneous environments Semantic interoperability in building automation Retrofit strategies for residential and office buildings Analysis of her recent publications reveals strong emphasis on smart building technologies , district-scale energy management , and data-driven fault detection , with recurring themes of IoT integration, open-source tool development, and policy-relevant energy planning. She has received notable scientific awards including: Borchers-Plakette, RWTH Aachen (2012) Award for Young Researchers, German Society of Refrigeration and Air Conditioning (2011) She leads experimental research at the Urban Energy Lab 4.0 and collaborates on national projects like PLUG-N-HARVEST (adaptive façade retrofits) and AGENT (multi-agent energy systems).

Annette Kopp-Schneiderمشاهده پروفایل

استاد

• Medical Biometry
• Biostatistics
• Clinical Trials
• +۷ مورد دیگر

Prof. Dr. Annette Kopp-Schneider is Head of Department at the German Cancer Research Center (DKFZ) and affiliated with the Faculty of Medicine at the University of Heidelberg. She holds a professorial rank and leads research in medical biometry with a focus on clinical trial methodology in precision oncology. Diploma in Mathematics, RWTH Aachen, 1984 Dr. rer. nat. in Mathematics, RWTH Aachen, 1987 Habilitation in Medical Biometry, University of Heidelberg, 1997 Her research interests include clinical trials for precision oncology , dose-response modeling , and biologically based mechanistic modeling of cell systems . She develops advanced statistical methods for trial design, particularly in pediatric oncology and settings with small sample sizes. Her work emphasizes rigorous control of type I error when borrowing historical data and optimal experimental designs for drug combinations. The recent publications reflect a strong trend in methodological biostatistics , particularly in Bayesian and frequentist approaches to clinical trial design , external data incorporation , and transparent evaluation in biomedical image analysis . Her contributions span oncology, toxicology, and translational medicine, with a consistent focus on statistical rigor and reproducibility. She has contributed to major initiatives such as the Pediatric Precision Oncology INFORM Registry, advancing personalized treatment for children with cancer. Her methodological work supports fair comparisons in hybrid and single-arm trials and improves the reliability of challenge-based research in medical imaging. Prof. Kopp-Schneider is actively engaged in grant-funded research and mentoring within her department. She leads a team focused on biostatistical innovation in clinical research, particularly in oncology settings where data are sparse and traditional designs face limitations. She is involved in collaborative teams working on biomedical image analysis challenges and pediatric cancer registries. Her lab contributes to open science through toolkits for challenge analysis and transparent reporting guidelines like BIAS (Transparent Reporting of Biomedical Image Analysis Challenges).

• Cybernetics
• Computational Architecture
• Digital Twins
• +۷ مورد دیگر

Liss C. Werner is a computational design researcher at Dessau International Graduate School of Architecture , focusing on the intersection of cybernetics, architecture, and digital systems. Her work explores bio-computational reactors, digital twins for buildings, and slime mold-based architectural models. She contributes to urban planning through GIS-based tools and investigates historical cybernetic principles in design. Key Research Areas: Cybernetics, computational architecture, bio-digital integration, digital twins, and urban systems. Collaborations: Projects with scholars in Germany, Austria, and Sweden, including studies on microbial fuel cells and particle physics applications. Theoretical Contributions: Extended Gordon Pask's Conversation Theory into architectural design, proposed 'sixth ecology' frameworks, and critiqued bio-digital fantasies in design. Tools & Methods: Uses Python OpenCV, Grasshopper/Rhinoceros, Arduino-Uno, and parametric CAD environments for bio-reactor monitoring and urban optimization. Publications: 15 recent works cover topics from digital infrastructure in the Anthropocene to cybernetic feedback mechanisms in architecture, with a focus on adaptive geometries and human-machine co-evolution.

Monique Reisمشاهده پروفایل

استاد

• Accounting
• Finance
• Controlling
• +۳ مورد دیگر

Monique Reis is a Professor of General Business Administration, specializing in Accounting, at Fulda University of Applied Sciences (Germany). She has headed the Master’s program in Accounting, Finance, and Controlling since 2014 and served on the board of the Faculty of Economy's Friends and Sponsors Association until 2016. Her expertise spans national and international accounting standards (HGB, IFRS, US-GAAP), corporate taxation, and tax law reforms. Doctorate in International Corporate Taxation (University of Würzburg) Teaching areas: HGB/IFRS Financial Statements, National/International Tax Law Former partner at Dr. Peemöller/Dr. Reis GbR (2000-2011) Co-founder of German Institute for Certification in Accounting e.V. (2005-2011) Her research focuses on corporate accounting harmonization, tax optimization strategies, and fiscal challenges in multinational operations. She has published extensively on IFRS conversion, VAT reforms, and business succession taxation. Reis has lectured at institutions like DATEV eG and IHK Würzburg on topics including consolidation practices, charitable organization taxation, and IFRS/US-GAAP comparisons. She also developed ZFU-certified distance learning courses in accounting and tax law.

William Arlidgeمشاهده پروفایل

پژوهشگر

• Fisheries Management
• Conservation Biology
• Social-Ecological Systems
• +۳ مورد دیگر

William Arlidge is a postdoctoral researcher at the Leibniz Institute of Freshwater Ecology and Biotechnology (IGB Berlin) in the Department of Fish Biology, Fisheries and Aquaculture. His work bridges social and ecological systems, focusing on sustainable natural resource management, biodiversity target setting, and bycatch modeling. He employs social network analysis to study information dissemination in fishing communities and examines social influence on conservation compliance. Research Interests Developing strategies to reconcile fisheries growth with biodiversity conservation Modeling social-ecological interactions in recreational and commercial fisheries Analyzing human behavior’s impact on rule adherence in conservation Investigating workplace conditions affecting conservation professionals Project Focus The marEEchange project (2023–2025) explores how anglers perceive ecological regime shifts in the western Baltic cod fishery, aiming to improve fisheries governance and reduce human impacts on biodiversity. Publication Trends His recent work spans conservation ethics, marine mammal-fisheries conflicts, mental health in conservation careers, and behavioral drivers in small-scale fisheries. Articles frequently address human dimensions of bycatch, socio-economic trade-offs, and psychological factors in environmental stewardship. Laboratory Affiliation He is part of IGB’s Integrative Recreational Fisheries Management research group, which emphasizes interdisciplinary approaches to fisheries sustainability.

Christian Klaesمشاهده پروفایل

استاد

• Neurotechnology
• Brain-Computer Interfaces
• Neuroscience
• +۷ مورد دیگر

Prof. Dr. Christian Klaes leads the KlaesLab at the Ruhr-University Bochum 's Department of Neurotechnology , focusing on advanced neuroprostheses and assistive devices for paralysis rehabilitation. His work integrates neuroscience , machine learning , and virtual reality to decode brain signals for controlling exoskeletons and BCI systems . Key research areas: Brain-Computer Interfaces , Neural Implants , VR-based Neurorehabilitation , and AI-driven Medical Diagnostics Collaborations with Caltech , German Primate Center , and University of Madeira expand his interdisciplinary impact. Recent publications highlight advancements in EEG decoding accuracy , spike sorting algorithms , and somatosensory feedback systems , demonstrating his lab's contributions to neural signal processing and embedded AI platforms for future implants. Current projects include developing smart upper-limb exoskeletons , exploring terahertz brain imaging , and pioneering phantom touch illusions for sensory augmentation in VR environments.

• Automated Reasoning
• Theorem Proving
• Artificial Intelligence
• +۳ مورد دیگر

Stephan Schulz is a Professor at the Baden-Wuerttemberg Cooperative State University Stuttgart (DHBW Stuttgart) in the Faculty of Engineering, where he serves as the Program Director for Computer Science. His office is located in room B 3.14 at Lerchenstraße 1, 70174 Stuttgart, Germany. Professor Schulz is a leading researcher in automated reasoning and theorem proving, with extensive experience teaching computer science courses including Formal Languages and Automata, Logic and Foundations of Computer Science, Compiler Construction, and Algorithms. Professor Schulz's primary research interest lies in automated reasoning, specifically developing efficient algorithms and intelligent search control for automatic theorem proving. His long-term goal is integrating high-performance inference mechanisms with machine learning techniques to create robust reasoning systems across diverse domains. He is the principal developer of the E Theorem Prover, a high-performance system for full first-order logic with equality that has performed exceptionally well in international competitions like CASC. His recent publications demonstrate a clear trend toward extending theorem proving capabilities to higher-order logic while maintaining performance. Schulz has made significant contributions to practical aspects of automated reasoning, including watchlist implementations, contradiction detection in large theories, and the integration of machine learning techniques to improve search heuristics in theorem provers. Professor Schulz has received multiple prizes for his work on the E Theorem Prover, though specific award names are not detailed in the available information. His contributions to the field have been recognized through leadership roles in major conferences. Professor Schulz actively mentors students through project work (Studienarbeiten) at DHBW Stuttgart and has taught numerous courses throughout his career at institutions including the University of Miami, Mona Institute of Applied Sciences, Universität Hildesheim, and INRIA/MPI. While specific grant information isn't provided, his sustained development of the E Theorem Prover suggests ongoing research support. Professor Schulz is significantly involved with several workshop and conference series including the International Workshop on the Implementation of Logics (IWIL), Practical Aspects of Automated Reasoning (PAAR), and Artificial Intelligence and Theorem Proving (AITP). His current roles include PC co-chair for the 15th IWIL (2024) and 9th AITP (2024), and PC member for multiple other conferences including the 25th LPAR (2024) and 12th IJCAR (2024).

Horst Schulteمشاهده پروفایل

استاد

• Control Systems Engineering
• Electrical Engineering
• Mathematical Modeling of Dynamic Systems
• +۴ مورد دیگر

Prof. Dr.-Ing. Horst Schulte is a Professor at the Department of Engineering I, HTW Berlin - University of Applied Sciences. His expertise lies in Control Systems Engineering, Electrical Engineering, and Renewable Energy Systems, with a focus on modeling, fault-tolerant control, and computational intelligence applications. Department of Engineering I, HTW Berlin Chair in Control Systems Group ResearchGate profile with 214 publications Research Interests include: Model-based and data-driven control systems Wind and photovoltaic power plants Takagi-Sugeno fuzzy systems Robust and fault-tolerant control Dynamic virtual power plants (DVPP) Computational intelligence in energy systems Scientific Awards : 10th Annual ISGAN Award (2024) HTW Berlin Research Award (2018/19) Best Paper in Control Theory (2013) Best BMBF Project of the Month (2012) Key Contributions involve power tracking control for renewables, fault reconstruction in wind turbines, and innovative converter control schemes. His work bridges theoretical control methods with practical energy system implementations.

• Game-Based Learning
• Cybersecurity Education
• Open Educational Resources (OER)
• +۳ مورد دیگر

Prof. Dr. René Röpke is a faculty member at Vienna University of Technology in the Learning Technologies department. His work bridges game-based learning, cybersecurity education, and open educational resources (OER), with a focus on interactive systems and data-driven educational strategies. Key research areas include gamification , learning analytics , and AI-integrated curriculum design . Active in the DELFI Conference (German e-learning conference) and collaborative projects like AIStudyBuddy and WebWriter . His recent publications highlight innovations in anti-phishing education, Python programming exercise generation, and AI-driven study path analytics. Themes center on personalized learning , collaborative group dynamics , and open science practices . He frequently contributes to conference proceedings and co-edits academic volumes. Projects emphasize human-centered design , including tools for OER conversion, dynamic difficulty adjustment in games, and interactive visualizations for curriculum analytics. His work often integrates psychological factors like extraversion into educational technology frameworks.

Alexander Eckerمشاهده پروفایل

استاد

• Machine Learning
• Computational Neuroscience
• Visual Perception
• +۳ مورد دیگر

Prof. Dr. Alexander Ecker is Professor of Data Science at the Institute of Computer Science, University of Göttingen, and concurrently holds the prestigious Max Planck Fellow position at the Max Planck Institute for Dynamics and Self-Organization. Since 2020 he also serves on the Executive Board of the Campus Institute Data Science in Göttingen. He leads the Neural Data Science research group, comprising 14 PhD students and 2 postdoctoral researchers, focusing on the interface of machine learning and computational neuroscience. His educational background includes a Dr. rer. nat. in Neuroscience (2014) from the Graduate School of Neural and Behavioral Sciences/IMPRS, University of Tübingen, followed by post-doctoral and group-leader positions at the University of Tübingen and the Max Planck Institute for Biological Cybernetics. Research Interests Machine Learning & Deep Learning: developing novel algorithms for representation learning and generative modeling. Computational Neuroscience: large-scale data-driven modeling of visual cortical circuits. Visual Perception: bridging biological vision and computer vision via biologically inspired architectures. His work has produced a steady stream of influential publications (2019-2025) in leading journals such as Nature Communications , Nature , Nature Methods , PLOS Computational Biology , ICLR , NeurIPS , and CVPR . The publications trend toward integrating high-resolution neural recordings with state-of-the-art machine-learning models to uncover principles of sensory processing, neuron-type classification, and behavior. Scientific Awards & Honors Max Planck Fellow, Max Planck Institute for Dynamics and Self-Organization (ongoing) Executive Board Member, Campus Institute Data Science, Göttingen (since 2020) Teaching, Advising & Grants Regularly teaches advanced courses: “Deep Learning for Image Synthesis”, “Current Topics in Deep Learning”, and “Graph Machine Learning”. Supervises 14 current PhD students and 2 postdocs within the Neural Data Science Group. Offers numerous Bachelor’s and Master’s thesis projects, with topics ranging from neuronal morphology clustering to primate vocalization analysis. Leads or co-leads large collaborative consortia with labs in Göttingen, Tübingen, Baylor College of Medicine, and other institutions across the US and Germany. Labs & Teams The Neural Data Science Group operates at the Institute of Computer Science, University of Göttingen, and is tightly integrated with the Max Planck Institute for Dynamics and Self-Organization. The group maintains active collaborations with over a dozen partner laboratories, including groups led by Fabian Sinz, Andreas Tolias, Thomas Euler, Tim Gollisch, and Viola Priesemann, fostering an interdisciplinary environment that spans computer science, physics, biology, and psychology.

• Building Information Modeling
• Digital Twinning
• Information Management
• +۵ مورد دیگر

Prof. Dr.-Ing. Sebastian Esser serves as Group Lead for Information Management at the Chair of Computing in Civil and Building Engineering at Technical University of Munich. His research focuses on advancing Building Information Modeling (BIM) methodologies, particularly in infrastructure and railway applications. He contributes significantly to international standardization efforts including IFC-Road and IFC-Rail projects, and leads research initiatives such as RIMcomb and BauPuls360. Dr. Esser's research spans several critical areas in digital construction: Graph-based version control systems for BIM collaboration Digital twin development for infrastructure management Semantic modeling of built environments BIM-based regulation checking for railway infrastructure Interdisciplinary model coordination techniques Knowledge representation in civil engineering His work bridges theoretical computer science with practical civil engineering applications, focusing on improving data interoperability and workflow efficiency in construction projects. Analysis of his recent publications reveals a strong emphasis on graph-based approaches to BIM challenges. His research has evolved from foundational work on BIM programming interfaces to sophisticated implementations involving knowledge graphs, semantic reasoning, and digital twin architectures. Key trends include increasing integration of semantic web technologies with BIM standards, development of specialized query interfaces like GraphQL for construction data, and application of formal methods to infrastructure modeling problems. Dr. Esser actively supervises numerous bachelor's and master's theses annually, with recent topics covering graph-based entity alignment, BIM-GIS integration for flood assessment, incremental model updates, and digital twin implementations. His teaching portfolio includes courses such as Bau- und Umweltinformatik, BIM.fundamentals, BIM.infra, and Semantic Modeling of the Built World, demonstrating his commitment to educating the next generation of digital construction professionals. He is involved in multiple research initiatives including DFG FOR 5672 (The information backbone of robotized construction), SPP 2187 (Adaptive modularized constructions), and AM2PM (Additive to Predictive Manufacturing). His laboratory work spans the BIM-Lab and related computational infrastructure supporting his research in digital construction technologies.

Ida Nadia Sedjro Djenontinمشاهده پروفایل

استادیار

• Environmental Geography
• Forest-Agricultural Systems
• Landscape Restoration
• +۶ مورد دیگر

Dr. Ida Nadia Sedjro Djenontin is an Assistant Professor in the Department of Geography at Penn State University, jointly affiliated with the Institute of Energy and the Environment (IEE) and the Alliance for Education, Science, Engineering, and Design with Africa (AESEDA). She holds a Ph.D. from Michigan State University and previously served as a Visiting Fellow at the London School of Economics. Her research examines human-environment dynamics in African forest-agricultural systems, with emphasis on: Landscape restoration governance and equity implications Climate adaptation/mitigation strategies for vulnerable communities Sustainable intensification of agriculture Knowledge co-production with local stakeholders Dr. Djenontin's publications reveal a strong focus on Malawi, where she models land-use changes, evaluates restoration programs, and studies cleaner energy adoption. Recent articles (2023–2025) cluster around three themes: Restoration policy : Critiquing global narratives and monitoring frameworks Resource nexus : Integrating water-energy-food systems via collaborative learning Livelihood resilience : Linking tree plantations, agroforestry, and well-being She leads significant grants, including a $1.3M NSF project on ecosystem restoration. While no awards are listed, her leadership in climate justice workshops and policy guidelines (e.g., for equitable agricultural intensification) underscores her impact. Through IEE and AESEDA, she coordinates interdisciplinary teams for field-based projects in Sub-Saharan Africa, emphasizing youth inclusion and community-driven solutions.

• Early Childhood Education
• Play Pedagogy
• Resilience Research
• +۶ مورد دیگر

Professor Tanja Brandl-Götz serves as Professor of General Pedagogy with a focus on Early Childhood Education and Program Director for the Bachelor's program in Early Childhood Education at Protestant University of Applied Sciences Nuremberg. A member of the Social Science Institute for Research and Transfer (SWIFT), she brings over two decades of combined academic and practical experience in social pedagogy, having previously led the Fachakademie for Social Pedagogy Hensoltshöhe and coordinated the Familienzentrum Sonnenhof project. Her educational background includes a PhD in Philosophy from Friedrich-Alexander-Universität Erlangen-Nürnberg (2016), Diploma in Educational Sciences from Philipps-Universität Marburg (2007-2009), Diploma in Social Work from Evangelische Fachhochschule Nürnberg (2003-2007), and certification as a state-recognized educator (1998-2001). Additional qualifications include systemic counseling training (2016) and Social Business Administration studies (2007-2008). Brandl-Götz's research centers on early childhood education dynamics, with expertise in play pedagogy, resilience development, and qualitative social research methodologies. She investigates pedagogical processes through the lens of children's perspectives, examining how educational partnerships function during crises like the pandemic and addressing emerging issues such as gender diversity in childhood development. Her work consistently bridges theoretical frameworks with practical applications in kindergarten settings. Analysis of her 15 most recent publications (2011-2025) reveals evolving research trajectories: early work focused on foundational pedagogical theories and play-based learning, transitioning to resilience frameworks during the pandemic, and most recently addressing children's agency in educational design and gender diversity. The publications demonstrate strong interdisciplinary connections between educational theory, child psychology, and social policy implementation. Outstanding Teaching Award 2014 (recognized in Forum der Lehre proceedings) As Program Director, Brandl-Götz oversees curriculum development and student supervision for the Early Childhood Education program, emphasizing reflective practice and theory-practice integration. Her leadership in projects like the Familienzentrum Sonnenhof and 'Kita als sicherer Ort' safety initiative demonstrates successful grant acquisition and implementation. Current research focuses on participatory educational design informed by children's perspectives. Through her membership in SWIFT, Brandl-Götz contributes to interdisciplinary research transfer initiatives that connect academic scholarship with practical applications in social pedagogy and early childhood education settings across Bavaria.

• Neuro-Fuzzy Systems
• Fuzzy Logic
• Neural Networks
• +۵ مورد دیگر

Dr. Detlef D. Nauck is a Chief Research Scientist and Technical Group Leader at BT Group's Intelligent Systems Research Centre, and a Visiting Senior Lecturer at Otto-von-Guericke University of Magdeburg's Faculty of Computer Science. His career spans both academic and industrial research environments, with significant contributions to Neuro-Fuzzy Systems and interpretable artificial intelligence. His academic foundation includes: Master's degree in Computer Science (1990) from Technical University of Braunschweig Ph.D. in Computer Science (1994) from Technical University of Braunschweig Habilitation in Computer Science (2000) from Otto-von-Guericke University of Magdeburg Dr. Nauck's research focuses on creating transparent AI systems that combine neural networks' learning capabilities with fuzzy logic's interpretability. His work addresses critical challenges in data analysis, particularly in handling mixed data types, missing values, and symbolic attributes while maintaining model transparency. He has developed practical applications across various domains where understanding decision processes is as important as the decisions themselves. His publication record shows consistent evolution from foundational work on neuro-fuzzy controllers to advanced applications in data mining and knowledge discovery. The research demonstrates a clear progression toward increasingly complex data analysis challenges while maintaining the core principle of model interpretability. Professional recognition includes: Author of the influential book 'Foundations of Neuro-Fuzzy Systems' (Wiley, 1997) Development of NEFCLASS, a widely recognized framework for interpretable classification Extensive contributions to both theoretical and applied aspects of soft computing Significant impact on the field through numerous tutorials and conference presentations Dr. Nauck maintains an active research program that bridges academic theory and industrial application. His dual affiliation allows him to contribute to practical implementations of intelligent systems at BT Group while mentoring the next generation of researchers through his academic position. He leads research in the Neural Networks and Fuzzy Systems group at Otto-von-Guericke University, accessible through their website at http://fuzzy.cs.uni-magdeburg.de, continuing to advance the field of interpretable artificial intelligence with practical relevance.

• Public Economics
• Taxation
• Political Economy
• +۴ مورد دیگر

Felix J. Bierbrauer is a Professor of Economics at the University of Cologne, Department of Economics, and a core member of ECONtribute: Markets & Public Policy—a major Cluster of Excellence under Germany’s Excellence Strategy. His institutional affiliations span the Center for Economic Policy Research (CEPR), CESifo Network, Max Planck Institute for Research on Collective Goods, and Germany’s Federal Ministry for Economic Affairs and Climate Action (as board advisor). His research centers on public economics, specializing in optimal taxation, political economy of fiscal policy, and mechanism design. He investigates how tax systems can achieve efficiency and redistribution under political constraints, with recent work addressing joint taxation, carbon pricing, and public goods provision under uncertainty. His theoretical frameworks consistently incorporate real-world limitations like coalition stability and informational asymmetries. Analysis of his 2020-2025 publications reveals intensifying focus on politically feasible tax reforms and environmental policy interfaces. Over half his recent work examines taxation of couples and carbon pricing—reflecting engagement with current policy debates. Publications in Econometrica and American Economic Review demonstrate sustained theoretical rigor, while VoxEU columns and ministry advisory roles highlight policy impact. As a full Professor within ECONtribute, he accesses substantial research infrastructure including interdisciplinary workshops, visiting scholar programs, and collaborative networks across German and European institutions. His advisory role for the Federal Ministry directly channels academic insights into national climate and economic policy formulation.