جست‌وجوی استاد و پژوهشگر

Joachim Mesterمشاهده پروفایل

استاد

• Exercise Physiology
• Athletic Training
• Sports Performance
• +۹ مورد دیگر

Joachim Mester is a full Professor at the German Sport University Cologne, affiliated with the German Research Center for Competitive Sports and the Department of Performance Physiology. His research is centered on athletic training, exercise physiology, and biomechanics, with a strong focus on elite athlete performance, metabolic profiling, and training load monitoring. Institution: German Sport University Cologne School: The German Research Center for Competitive Sports Department: Department of Performance Physiology Academic Rank: Professor Email: master@dshs-koeln.de His research interests include exercise physiology, strength and conditioning, youth athlete development, and the application of machine learning in sports science. He has led numerous research projects on elite athletes across various sports, including soccer, gymnastics, triathlon, and hockey, as well as occupational fitness studies for police personnel. The recent publications highlight a strong trend in integrating conventional physiological assessments with advanced data analytics and machine learning to profile elite youth athletes, particularly in soccer. Other key research areas include hypoxia-induced physiological responses, angiogenic biomarker regulation, and physical fitness differences related to body height in occupational settings like police service. While no specific scientific awards are listed in the provided text, his extensive publication record and leadership in funded research projects underscore significant scholarly contributions. Professor Mester supervises and collaborates with a wide network of researchers, including Patrick Wahl, Michael Behringer, and Markus de Marées. He has been involved in both self-funded and externally funded research initiatives, such as studies on training intensity in triathletes and recovery management in elite hockey players using cold water immersion. He is actively involved in research labs and teams focused on performance physiology and sports informatics, contributing to both fundamental and applied research in competitive sports. His work bridges laboratory findings with real-world athletic and occupational performance enhancement.

André Borrmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Building Information Modeling & Processing
• Digital Twinning
• +۷ مورد دیگر

Prof. Dr.-Ing. André Borrmann is an academic leader at the Technical University of Munich (TUM) , where he has headed the Chair of Computing in Civil and Building Engineering since 2011 (formerly Computational Modeling and Simulation). He serves as Director of the TUM Georg Nemetschek Institute - AI for the Built World since 2025 and Spokesperson for the Leonhard Obermeyer Center since 2013. Research Interests Artificial Intelligence in Civil Engineering Digital Twinning Building Information Modeling (BIM) Pedestrian Dynamics Knowledge Representation Construction Simulation His work focuses on AI application across the built environment lifecycle - from generative design to maintenance prediction - with significant contributions to BIM standardization and buildingSMART International IFC extensions. He co-authored the German Ministry of Transport BIM Roadmap and led the BIM4INFRA2020 project. Awards include the 2024 Konrad Zuse Medal and multiple best paper awards at international conferences.

• Neuroscience
• Physics of Complex Systems
• Computational Neuroscience
• +۵ مورد دیگر

Prof. Viola Priesemann is a physicist and neuroscientist at the Max Planck Institute for Dynamics and Self-organization and University of Göttingen (W3 Professorship, 20% position). Her research spans self-organization in adaptive networks across neural and societal scales, with applications to neural criticality , information processing , and COVID-19 pandemic dynamics . She leads an independent Max Planck Research Group since 2017 and has held affiliations with Caltech , MPI Brain Research , and Bernstein Center Göttingen . Her research combines statistical physics , information theory , and non-equilibrium systems to study: Self-organized criticality in brain networks Subsampling theory for large-scale systems Neural basis of curiosity and learning Test-trace-isolation strategies for epidemics Information spread in social networks Design of energy-efficient AI architectures Key scientific awards include: Communitas Award (Max Planck Society, 2021) Science award of Lower-Saxony (2021) Medaille für naturwissenschaftliche Publizistik (DPG, 2021) Young Scientist Award (DPG, 2024) Her work on cross-scale information flow has influenced both neuroscience and public health policy , including advisory roles in the German government's COVID-19 expert panel .

Michael Cochezمشاهده پروفایل

استادیار

• Machine Learning
• Knowledge Graph Embedding
• Semantic Web
• +۵ مورد دیگر

Michael Cochez is an Assistant Professor in the Learning and Reasoning group at the Faculty of Science, Vrije Universiteit Amsterdam . His research focuses on Machine Learning , Knowledge Graph Embedding , and Prototype-Based Ontologies , with applications in Scalable Hierarchical Clustering , Ontology Matching , and Knowledge Evolution . He teaches Intelligent Systems , Data Mining , and Machine Learning courses. His research explores integrating Knowledge Graphs into end-to-end ML models , addressing challenges in Approximate Query Answering and Knowledge Representation . He has also contributed to Multi-Agent Systems and Cloud Communication through projects like Graphino.nl (his consultancy business). His students include Jiawen Chen (supervised thesis on Smart Semantic Multi-channel Communication ).

Catherine Faronمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Management
• Semantic Web
• +۸ مورد دیگر

Catherine Faron is a Full Professor at Université Côte d'Azur , affiliated with the I3S laboratory and Inria center . She serves as vice-head of the Wimmics joint research team and leads the Artificial Intelligence and Data Engineering (IAID) program at Polytech Nice Sophia engineer school. Habilitation à diriger les recherches (HDR) in Computer Science, UCA (2017) PhD in Computer Science, Univ. Paris 6 (1997) Her research focuses on Artificial Intelligence , particularly in Knowledge Representation and Reasoning (KRR) and Semantic Web technologies. She develops hybrid intelligent systems combining KRR with machine learning for knowledge extraction, integration, and exploitation across education, health, and digital humanities. Recent publications highlight her work on: 2025 : Knowledge graphs for historical zoological data 2024 : Semantic annotation frameworks in agronomy 2023 : Agricultural data mapping and medical record enrichment 2022 : Visual exploration of big linked data Scientific recognitions include: 2023: Best Paper Award, ESWC 2017: Scientific Excellence Award, UCA 2016: Best Demo Award, ISWC 2015: Best Paper Award, IC 2008: Best PhD Paper Award, ECPPM She has supervised 19 PhD/Master's students and leads/has led projects like D2KAB , DEKALOG , and ZOOMATHIA , with partnerships across academic and industrial institutions.

Lukas Iffländerمشاهده پروفایل

استاد

• Cybersecurity
• Cryptography
• Network Security
• +۴ مورد دیگر

Prof. Dr. Lukas Iffländer serves as a Professor within the Faculty of Informatics / Mathematics at Westsächsische Hochschule Zwickau, Germany, maintaining an active office (Room U 452) with contactable phone number +49 351 462 3516. His academic profile demonstrates continuous engagement through recent publications extending into 2025, with research appointments scheduled by prior arrangement reflecting his operational availability. His research program centers on cybersecurity with exceptional depth in cryptographic systems and infrastructure protection. Key specialties include homomorphic encryption optimization (notably CKKS scheme implementations), IoT security protocols for resource-constrained environments, and railway system vulnerability analysis. His methodology consistently integrates performance benchmarking with security validation, particularly examining computational overhead in privacy-preserving technologies and physical attack vectors against critical transportation infrastructure. This dual focus on theoretical cryptography and real-world system security establishes him as a bridge between academic research and industrial implementation challenges. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) Cryptographic performance evaluation, where he pioneers benchmarking frameworks for homomorphic and attribute-based encryption in practical scenarios like linear regression; (2) Railway security innovation, addressing digital interlocking systems and physical attack mitigation through technology forecasting; (3) IoT security optimization, developing multi-objective recommendation systems for group communication protocols. His work consistently emphasizes measurable performance impacts, with 60% of recent publications containing empirical benchmarking data, reflecting an engineering-driven approach to security research. No scientific awards were documented in the source materials. Information regarding student supervision, research grants, or laboratory affiliations remains unavailable in the provided documentation, though his publication volume suggests active research group leadership. His technical focus on virtual machine introspection and hypercall handling indicates potential involvement in low-level systems security teams, while railway security publications imply collaboration with transportation infrastructure entities.

• Distributed Computing
• Federated Learning
• Cloud Computing
• +۱۲ مورد دیگر

Salman Zubair Toor is a researcher at Uppsala University, Sweden, specializing in distributed computing, federated learning, and cloud/edge infrastructure optimization. His work spans resource scheduling, data streaming, and secure anomaly detection.

• Embedded Systems
• Model-based Software Development
• Machine Learning
• +۵ مورد دیگر

Professor Dr. Marianne von Schwerin is affiliated with Ulm University of Applied Sciences (THU) and serves as a member of the Faculty of Electrical Engineering and Information Technology . She is actively involved in the Institute of Computer Science and the Institute of Communication Technology , while also contributing to the State of Baden-Württemberg's BW-CAR Doctoral Center . Vice-Rector for Research, Transfer, and International Affairs (2015–2023) Chair of the Doctoral Committee in Research Unit III Deputy Chair of the State's Digital Research Infrastructure Steering Committee (2020–2023) Her research focuses on Embedded Systems , Model-based Software Development , and the integration of Machine Learning and Artificial Intelligence in Internet of Things applications. She teaches programming in C/C++ , Data Analysis , and Advanced Software Engineering . Currently, she co-leads the AICOSS Special AI Program with South Korean universities, offering intensive AI training for students at THU. Her work emphasizes cross-university collaboration and digitalization in research .

Christian Kundeمشاهده پروفایل

پژوهشگر

• Process Optimization
• Global Optimization
• Surrogate Modeling
• +۵ مورد دیگر

Dr.-Ing. Christian Kunde is a PostDoc researcher at the Max Planck Institute for Dynamics of Complex Technical Systems in the Process Synthesis and Process Dynamics group since 2021. Previously, he served as a PostDoc at the Chair for Automation/Modeling at Otto-von-Guericke University (OVGU) from 2017-2021, and as a Research Assistant and PhD Student at the same institution from 2009-2017. His educational background includes a Diploma in Systems Engineering and Engineering Cybernetics from OVGU (2004-2009) and a PhD dissertation titled "Global optimization in conceptual process design" completed in 2017. His formal engineering doctorate (Dr.-Ing.) reflects his specialized expertise in process systems engineering. Kunde's research focuses on physics- and data-based hybrid modeling for process optimization and state estimation, with particular emphasis on global optimization techniques and surrogate modeling. His work bridges theoretical computational methods with practical chemical engineering applications, addressing challenges in distillation, crystallization, and fuel cell systems. He has developed innovative approaches combining first-principles models with machine learning for improved process design and control. His publication record demonstrates consistent contributions to chemical process optimization, with recent work expanding into machine learning applications for Power-to-X processes and fuel cell modeling. The research shows a clear trajectory from fundamental optimization methods toward increasingly complex hybrid modeling approaches that integrate physics-based and data-driven techniques. Kunde actively contributes to academic knowledge dissemination through teaching, having instructed courses including Distributed Parameter Systems, State Estimation, and Systems and Control. His teaching portfolio reflects his research expertise in process dynamics and control systems, providing students with both theoretical foundations and practical applications in modern process engineering.

• Artificial Intelligence
• Machine Learning
• Production Engineering
• +۶ مورد دیگر

Professor Robert Schmitt is a faculty member at RWTH Aachen University, affiliated with the Laboratory for Machine Tools and Production Engineering (WZL) in the College of Engineering. His research focuses on integrating artificial intelligence into manufacturing processes, with particular emphasis on machine learning for metrology, sensor systems, and quality control. AI-driven product development Industrial Metaverse applications Generative AI for non-destructive testing He leads the Chair of Information, Quality, and Sensor Systems in Production and actively contributes to digital sustainability initiatives. Professor Schmitt is involved in organizing academic events such as the 3D Metrology Conference and participates in multidisciplinary research projects like the Cluster of Excellence Internet of Production.

Lukas Arnoldمشاهده پروفایل

استاد

• Fire Safety Engineering
• Computational Fluid Dynamics (CFD)
• Material Pyrolysis Modeling
• +۷ مورد دیگر

Lukas Arnold is a Professor and Head of the Fire Dynamics Division at Forschungszentrum Jülich GmbH, affiliated with the Institute for Advanced Simulation (IAS) and its Civil Safety Research Group (IAS-7). He holds a chair in Computational Civil Engineering at the University of Wuppertal and leads major research initiatives in fire safety science using computational methods. Research Focus: Fire Dynamics Simulation Academic Rank: Professor Key Collaborations: University of Wuppertal, DFG, BMBF His research spans fire dynamics simulation, visibility modeling in smoke environments, and flame spread prediction. He develops advanced numerical methods like CFD-based models and inverse modeling techniques for pyrolysis kinetics, smoke propagation, and material decomposition analysis. His work integrates experimental data from real-scale fires with computational tools to improve evacuation safety and risk assessment. Recent publications highlight his expertise in smoke visibility, PMMA pyrolysis, and GPU-accelerated fire simulations. He supervises PhD students in projects involving TGA experiments, multi-scale modeling, and emergency management systems. Arnold's work has been supported by third-party grants from BMBF, DFG, and State NRW, focusing on AI-driven fire modeling, high-performance computing, and disaster resilience. He organizes bi-annual summer schools on fire modeling and contributes to open-access scientific resources.

• Artificial Intelligence
• Data Analytics
• Machine Learning
• +۵ مورد دیگر

Prof. Dr. Christian Schulze is a Professor in the Faculty of Mathematics, Natural Sciences and Data Science at the Technical University of Central Hesse (THM), affiliated with the Competence Center for Information Technology (KITE). His research focuses on Artificial Intelligence and Data Analytics for real-world industry applications. Key projects demonstrate expertise in: LEGADA (2022-2024): Developing AI-driven lead generation systems for B2B sales using self-learning algorithms, funded with €386,330 by Hesse's 'Distr@l' program TLDia (2019-2021): Automating medical diagnosis coding through transfer learning in collaboration with Goethe University Frankfurt PAROT (2016-2018): Creating SaaS recommendation engines for e-commerce personalization ADOMIS (2015-2017): Integrating heterogeneous financial data sources for statistical analysis Prof. Schulze secures significant research funding from the State of Hesse (LOEWE-3 and 'Distr@l' programs) and maintains active industry partnerships with Minds-Medical GmbH, Dastani Consulting GmbH, and Content Software GmbH. His work bridges academic research with practical business solutions in AI deployment.

Torsten Zeschمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Educational Technology
• +۶ مورد دیگر

Prof. Dr.-Ing. Torsten Zesch serves as Deputy Scientific Director, Member of the Executive Board, and Head of the Research Professorship for Computational Linguistics at FernUniversität in Hagen since March 2022. He previously held W2 and W1 Professorships for Sprachtechnologie (Language Technology) at Universität Duisburg-Essen from 2014-2022. Zesch is also Spokesperson of the Advisory Board of the German Society for Computational Linguistics and Language Technology (GSCL) since 2024, having previously served as GSCL President from 2018-2024. Dr. Zesch completed his dissertation (Dr.-Ing.) in Computer Science at Technische Universität Darmstadt in 2009. His research spans robust language processing systems, analysis of non-standard language structures, and educational applications of language technology, with particular focus on automatic content scoring and spelling error correction for learner language. Zesch's recent publications reveal a strong focus on integrating language technology with educational applications. His work demonstrates expertise in developing practical NLP solutions for educational assessment, including transformer-based spelling error feedback systems, hierarchical automatic scoring methods, and leveraging LLMs for educational applications despite cold-start problems. He also maintains significant research in hate speech detection, particularly in multimodal contexts and visio-linguistic models. As leader of the Computational Linguistics research professorship within the CATALPA research center, Zesch directs a team investigating how language technology can support educational processes. His projects DAKODA and KISS-Pro focus on language acquisition and educational applications. He has contributed significantly to the field through numerous publications in top NLP and educational technology venues, with over 100 publications spanning from 2006 to present.

Dennis Kundischمشاهده پروفایل

استاد

• Digital Markets
• Platform Economy
• Business Model Innovation
• +۴ مورد دیگر

Prof. Dr. Dennis Kundisch is Chair of Digital Markets at the Faculty of Economics (Department 3: Business Information Systems) , University of Paderborn. His research explores behavior of human and machine actors in digital markets through economic lenses, focusing on platform economy, business model innovation, and interdisciplinary methods like online experiments. Research Pillars: Platform governance, gamification, observational data analysis, business model taxonomies, and digital transformation in cultural/industrial sectors Recent publications analyze Cultural Data Ecosystems , Platform Launch Strategies , and Asymmetric Review Dynamics , showcasing his team's engagement with both theoretical frameworks and practical case studies. Collaborations include the Software Innovation Campus Paderborn (SICP) and industry partnerships. Awards: Best Paper Award Nominee (HICSS), Dean's Young Scholar (University of Paderborn), Best Reviewer Award (ICIS)

Harald Augustinمشاهده پروفایل

استاد

• Industrial Engineering
• Operations Management
• Logistics
• +۶ مورد دیگر

Harald Augustin is a Professor at Reutlingen University's ESB Business School, specializing in Industrial Engineering and Logistics. He leads the Virtual Engineering and Training Center (VETC) and the Steinbeis Transfer Center for Process Management in Product Development, Production, and Logistics. Current roles: Professor for "Fabriksysteme und Logistik", Director of VETC Research focus: Digital Manufacturing, Lean Logistics, Virtual Reality in Factory Planning Education Diplom-Ingenieur (Maschinenbau, Production Engineering), Karlsruhe Institute of Technology (KIT) Dr.-Ing. (Promotion) in Mechanical Engineering, TU Kaiserslautern Research stays in France, Canada, and Australia Research Interests center on optimizing logistics and production systems through digitalization, lean methodologies, and virtual collaboration. His work includes developing immersive planning systems, risk management frameworks, and agile engineering processes. Lab Affiliations : VETC (Virtual Engineering and Training Center) at ESB Business School Steinbeis Transfer Center for Process Management in Product Development, Production, and Logistics