جست‌وجوی استاد و پژوهشگر

• Business Administration
• Finance
• Financial Services
• +۳ مورد دیگر

Prof. Dr. rer. pol. Hermann Locarek-Junge is a full professor at the Department of Economics , University of Technology Dresden , Germany. His academic work focuses on business administration , with specializations in finance and financial services , risk management , and neural networks in finance . He has led research on electronic banking , market risk estimation , and financial technology . Department: Economics University: University of Technology Dresden Research Themes: Finance, financial technology, risk management, electronic banking His publications span financial mathematics , portfolio risk analysis , and digital transformation in banking . Key topics include value-at-risk modeling, neural networks for market risk, and direct banking trends. He has collaborated with researchers like Ralf Prinzler , Mario Straßberger , and Manfred Schwaiger on credit risk, customer retention, and nonlinear loss functions in portfolios. Recent work (1997-2002) explores crisis communication , volatility hedging , and dynamic limit setting in financial markets. He has edited volumes on information society challenges for data analysis and co-authored interactive learning programs in business administration. His research bridges quantitative finance and information systems in banking.

• Logistics
• Supply Chain Management
• Mobile Business
• +۴ مورد دیگر

Irena Okhrin is a Junior Professor at the European University Viadrina Frankfurt (Oder) in the Department of Economics and Business Administration. Her primary focus is on Information & Operations Management, with particular emphasis on logistics and mobile business applications. Dr. Okhrin's research interests center around several key areas: Modeling of Logistic Processes in M-Business Transport Problems with Real-Time Information Exchange Use of Mobile Technologies in Supply Chain Management Her scholarly work demonstrates a consistent focus on the intersection of logistics, mobile technologies, and supply chain management. Over the period 2005-2009, she has published numerous papers examining vehicle routing problems with real-time constraints, inventory management in mobile business environments, and various aspects of supply chain management enhanced by mobile technologies. Her research often employs optimization techniques and explores practical implementations of mobile business concepts in logistics companies. Dr. Okhrin has received recognition for her contributions to the field through publications in reputable journals and conference proceedings, though specific awards are not mentioned in the available information. She has collaborated extensively with K. Richter on many research projects, indicating a productive academic partnership. While specific information about her teaching responsibilities and graduate students is not provided in the available materials, her position as Junior Professor suggests involvement in both undergraduate and graduate education.

Emanuel Kitzelmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Neurosymbolic AI
• +۴ مورد دیگر

Prof. Dr. Emanuel Kitzelmann is a Professor of Applied Artificial Intelligence at Brandenburg University of Technology and Scientific Director of the AI Laboratory since 2023. His work bridges classical symbolic AI and modern machine learning, with a focus on integrating Large Language Models (LLMs) with structured knowledge bases like knowledge graphs and ontologies to enable reliable, explainable AI. He co-leads the SCALE-C research project on secure AI content generation for cybersecurity and directs the SmartRetrieve project on GraphRAG for campus chatbots. University: Brandenburg University of Technology Department: Computer Science and Media Rank: Professor His research spans hybrid neurosymbolic AI, inductive program synthesis, and robotics as AI application areas. Recent publications explore hallucination mitigation in LLMs, RAG techniques, and AI educational tools. He actively collaborates with industry partners like membraPure and REMINE GmbH, supervising student projects in cybersecurity, chatbots, and image-based analysis. Key initiatives include workshops on machine learning with ZF Getriebe Brandenburg and program committee roles for ECAI 2025 and IJCLR 2025.

• Organic Computing
• Evolutionary Algorithms
• Learning Classifier Systems
• +۶ مورد دیگر

Professor Jörg Hähner holds the Chair of Organic Computing at the University of Augsburg's Faculty of Applied Computer Science within the Institute of Computer Science. He leads a research team focused on evolutionary computation, self-organizing systems, and intelligent computing approaches. His educational background includes computer science studies at TU Darmstadt. His academic career progression shows steady advancement in the field of organic and self-organizing computing systems. Prof. Hähner's research spans multiple interconnected domains in computational intelligence. His primary focus is on Organic Computing, which involves developing systems that can adapt and self-organize in complex environments. Within this framework, he has made significant contributions to Evolutionary Algorithms, particularly Cartesian Genetic Programming and Learning Classifier Systems. His work explores how these techniques can be applied to real-world problems such as predictive maintenance, energy systems optimization, and industrial automation. The research demonstrates a strong emphasis on both theoretical foundations and practical applications of self-adaptive systems. An analysis of his recent publications reveals a strong concentration on evolutionary computation techniques, particularly Cartesian Genetic Programming variants and Learning Classifier Systems. His research group has been actively developing frameworks like CRust_GP and GRAHF to advance modular construction of evolutionary algorithms. There's a clear trend toward applying these techniques to industrial problems including predictive maintenance, resource allocation in networks, and energy management systems. The publications show consistent exploration of fundamental questions about algorithm behavior while maintaining strong connections to practical applications. Prof. Hähner leads an active research group with numerous PhD students and collaborators, including Karen Poloczek, Henning Cui, Victor Gerling, Dr. Michael Heider, Marco Hüller, Neele Kemper, Helena Stegherr, Jonathan Wurth, and Roman Sraj. His team regularly publishes in top-tier conferences and journals in evolutionary computation, intelligent systems, and industrial applications. The Organic Computing research group maintains a strong presence in both theoretical and applied research, with projects spanning from foundational algorithm development to industrial applications in manufacturing, energy systems, and network optimization. The group's work demonstrates a cohesive research vision centered on creating adaptive, self-organizing computational systems that can operate effectively in complex real-world environments.

• Artificial Intelligence
• Neuroscience
• Machine Learning
• +۳ مورد دیگر

Nikola Milosevic is a doctoral researcher at the Max Planck Institute for Human Cognitive and Brain Sciences , affiliated with the International Max Planck Research School NeuroCom and working within the Methods and Development Group Neural Data Science and Statistical Computing . His research spans interdisciplinary topics at the intersection of artificial intelligence, neuroscience, and computational modeling. His work focuses on active matter systems , reinforcement learning architectures , and neural data science methodologies . He has developed the ARC toolbox for artificial speech rhythmicity controls and contributed to explainable AI frameworks. Recent publications highlight his interests in embodied cognition, trust region optimization, and deep learning applications for biomedical imaging. Nikola's methodological expertise includes information processing , representation learning , and algorithmic safety in computational systems. His research combines theoretical approaches with practical implementations in Python and machine learning frameworks.

Margareta Halekمشاهده پروفایل

استاد

• Dementia Care
• Behavioral Changes in Dementia
• Nursing Interventions
• +۲ مورد دیگر

Margareta Halek is a Professor and Department Head of the Department of Nursing Science at the Faculty of Health, University of Witten/Herdecke. She also serves as the Dean of the Faculty of Health, overseeing its strategic and academic leadership. Research Focus: Over 15 years, her work centers on dementia care, particularly addressing behavioral changes in affected individuals. She emphasizes empowering caregivers, optimizing communication, and developing evidence-based nursing interventions. Recent projects include participatory video feedback programs (ParDeVI) and digital education frameworks (MINDED.RUHR), funded by entities like the BMBF and NRW Welfare Foundation. 2024–2025: ParDeVI (BMBF-funded) 2023–2024: Participatory research with caregivers (University of Vienna) 2021–2024: MINDED.RUHR (BMBF, 8-partner collaboration) 2020–2024: Communio firmo prosperamus (NRW Welfare Foundation) 2018–2022: MoNoPol-Sleep (non-pharmacological interventions for dementia-related sleep issues) Teaching: She instructs courses on quantitative research methods, participatory methodologies, and communication in nursing within the Master’s programs in Nursing Science, Community Health Nursing, and Dentistry. She also supervises doctoral candidates in nursing science. Funding & Leadership: Her research integrates collaboration with care recipients, caregivers, and institutions like St. Clara nursing home. She leads self-funded initiatives such as the Fundamentals of Care Framework adaptation for Germany.

• Computational Fluid Dynamics (CFD)
• Large-Eddy Simulation (LES)
• Aero-acoustics
• +۵ مورد دیگر

Prof. Dr.-Ing. Wolfgang Schröder is a full professor at RWTH Aachen University and currently serves as Dean of the Faculty of Mechanical Engineering . In addition, he is Director of the Institute of Fluid Mechanics and Aerodynamics , a member of the Steering Committee of the Profile Area Modeling & Simulation Sciences , and RWTH’s representative in the Scientific and Technical Council (WTR) of the Forschungszentrum Jülich. His professional addresses are Wüllnerstraße 5a, 52062 Aachen and Eilfschornsteinstraße 18, 52062 Aachen , reachable at office@aia.rwth-aachen.de and dekan@fb4.rwth-aachen.de . His research portfolio spans computational fluid dynamics , large-eddy simulation , aero-acoustics , turbulent boundary-layer control , drag-reduction technologies , high-performance computing for multi-phase flows, and biomedical flow modeling . Recent work emphasizes: Multi-fidelity and surrogate modeling for active flow control and drag reduction. Advanced LES and hybrid RANS/LES methods for complex internal and external flows. Coupled CFD/CAA approaches to predict and mitigate aero-acoustic noise from airframes, landing gears, and distributed propellers. High-resolution simulations of gas-liquid and electrochemical flows in engineering and biomedical contexts. Across more than 80 peer-reviewed contributions since 2021, a clear trend emerges toward physics-based machine learning , real-time optimization , and exascale-ready algorithms that integrate experimental data (PIV, DLS) with massively parallel simulations. Scientific Awards & Honors : No specific awards are enumerated in the supplied text; however, his continuous leadership roles (Dean, Institute Director, WTR representative) indicate sustained recognition within the academic community. Advising & Funding : While individual student names are not listed, Prof. Schröder heads a large research group responsible for numerous doctoral and master’s theses. Projects are supported by German federal programs, EU Horizon initiatives, and industrial partnerships with aerospace and automotive sectors. Laboratories & Teams : He directs the Institute of Fluid Mechanics and Aerodynamics (AIA), operates within the Center for Computational Engineering Science (CCES), and leverages RWTH’s high-performance computing clusters for large-scale simulations.

Hu Caoمشاهده پروفایل

پژوهشگر

• Autonomous Driving
• Robotic Grasping
• Medical Image Analysis
• +۵ مورد دیگر

Hu Cao is a postdoctoral research associate at the Chair of Robotics, Artificial Intelligence and Real-Time Systems (Prof. Alois Knoll) at the Technical University of Munich (TUM) . Holding a Ph.D. from TUM, his research bridges autonomous driving , robotic grasping , medical image analysis , and dense prediction (classification, detection, segmentation). Education : Ph.D. from TUM Hu's work explores: Autonomous Driving : Perception under adverse conditions, multi-sensor fusion, and risk-based safety models Robotic Grasping : Vision-language integration for 6D pose estimation Medical Imaging : Transformer-based segmentation techniques (e.g., Swin-Unet) His recent publications include 15+ works at top venues like CVPR , ICCV , IEEE TPAMI , and IEEE TIV , with 6052+ Google Scholar citations . Notably, Swin-Unet ranks among the top 3 most cited ECCV papers in 5 years, and his work on event-based autonomous driving perception was featured in IEEE Xplore Innovation Spotlight . Editorial roles include: Associate Editor for Visual Intelligence and Frontiers in Neurorobotics Editorial Board member of Artificial Intelligence and Autonomous Systems (AIAS) Topic Editor for Frontiers in Robotics and AI and Frontiers in Neuroscience He has reviewed for 20+ top journals (e.g., Nature Computational Science , IEEE TRO ) and served on program committees for NeurIPS , CVPR , ICCV , and MICCAI .

Yves Bühlerمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Snow and Avalanche Research
• Alpine Mass Movements
• +۳ مورد دیگر

Dr. Yves Bühler is a leading researcher at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) , heading the Alpine Remote Sensing group within the Alpine Environment and Natural Hazards unit. His work focuses on remote sensing applications for snow and avalanche research, rock-ice avalanches, and alpine mass movement monitoring using drones, SAR satellites, and machine learning. Education: PhD in Remote Sensing (University of Zurich, 2005-2009), High-School Teaching Certification (MAS SHE, 2003-2005). Key projects: Large-scale avalanche mapping in India, drone-based snow depth monitoring, and thermomechanical modeling for hazard indication. Research Trends : Recent publications highlight advancements in machine learning for avalanche segmentation , multi-sensor displacement monitoring , and climate change integration into hazard models . His work bridges geomechanics , remote sensing technology , and operational risk mitigation across Switzerland, Himalayas, and international collaborations. Scientific Contributions : He has received a Research Fellowship at the University of Otago and led leadership programs at FHNW. His team developed RAMMS::LSHIM for large-scale hazard mapping and pioneered low-cost lidar for avalanche monitoring.

• Multimedia publishing
• Communication design
• Interface Design
• +۷ مورد دیگر

Professor Ulrich Nikolaus serves as a Professor of Multimedia Publishing and Communication Design at the Faculty of Computer Science and Media at Leipzig University of Applied Sciences (HTWK Leipzig). He has held this position since his appointment in December 2002 and currently serves as Chairman of the Examination Board for technical degree programs within the faculty. His academic journey began with computer science studies at Saarland University in 1988, followed by a degree in computer science in 1996, and culminated in his doctorate on 'Multimedia Learning in Companies' in October 2001. Nikolaus's research spans multimedia publishing, interface design, electronic publishing, and digital accessibility. His work emphasizes creating inclusive digital experiences, particularly through his longstanding collaboration with the German Central Library for the Blind (since 2011). He has directed significant projects including the redesign of the Egyptian Museum website in collaboration with Leipzig University, where students under his supervision developed design, content, and technical concepts. His scholarly contributions focus on advancing accessible digital publications, voice user interfaces, eye-tracking analyses for media research, and cross-media publishing workflows. Nikolaus has been instrumental in developing digital teaching strategies at HTWK Leipzig, serving on the 'Steering Committee for Inclusion' since 2018 and as a founding member of the Institute for Digital Teaching and Learning since 2019. Among his notable recognitions are membership in the Accessibility in Education Working Group of the IAAP-DACH since 2022, and his role as co-organizer of Leipzig's first World Usability Day in 2017. He has also contributed to international standards through his participation in the DAISY 2009 International Technical Conference. Nikolaus teaches across multiple courses including Media Production, Interface Design, Electronic Publishing, and Media Management at the Master's level. His educational philosophy integrates theoretical knowledge with practical application, evident in his supervision of student projects that address real-world challenges in digital media and accessibility.

Christoph Rosenkranzمشاهده پروفایل

استاد

• Information Systems Development
• Open Source Software Development
• Project and Program Management
• +۵ مورد دیگر

Christoph Rosenkranz is a Professor of Information Systems at the Faculty of Management, Economics and Social Sciences , University of Cologne. He serves as Academic Director of the Bachelor's program in Business Informatics and Deputy Managing Director of the Cologne Institute for Information Systems . His research focuses on agile software development , digital transformation , and socio-technical systems , with applications in healthcare and business process management. Academic Director, Bachelor's program 'Wirtschaftsinformatik' (2021–present) Founding Director, Master's program 'Business Analytics and Econometrics' (2019–2021) Visiting Researcher at Towson University and Rochester Institute of Technology (2018) His work bridges information systems , project management , and digital innovation , with empirical studies on: Agile practices in software development Time pressure and software quality Communication theory in IS design Electronic healthcare systems Service network effects Recent publications analyze digital market offerings , ethics in machine learning , and psychological safety in teams . He contributes to the ECONtribute: Markets & Public Policy cluster, researching digital transformation's societal impact. Collaborative projects include: HPDnet (DFG-funded child healthcare networks) C-SEB (Social and Economic Behavior research)

David Zwickerمشاهده پروفایل

استادیار

• Biological Physics
• Soft Matter Physics
• Phase Separation
• +۵ مورد دیگر

David Zwicker serves as a Max Planck Research Group Leader at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, where he heads the Theory of Biological Fluids group. His research investigates how soft and fluid-like biological materials achieve precise spatial and temporal organization through physical principles. Dr. Zwicker's work centers on biomolecular condensates, pattern formation, and smart materials design. His group employs statistical physics, dynamical systems theory, and fluid dynamics to model biological processes including phase separation in cells, active matter systems, and nasal airflow mechanics. Current projects explore how phase transitions might enable cellular information processing and how chemical activity drives droplet self-propulsion. Recent publications (2024-2025) reveal strong focus on phase separation dynamics in biological contexts, with emerging themes in active condensates, multicomponent mixtures, and computational modeling tools. His group develops open-source software like flory for phase diagram analysis and py-pde for partial differential equations. Scientific recognition includes: ERC Starting Grant for biomolecular condensates research Dr. Zwicker leads an active research team currently comprising postdoctoral researchers Guido Kusters and Filipe Thewes (joined October 2024), with ongoing recruitment for ERC-funded projects. His group maintains strong computational focus while collaborating across physics and biology disciplines. The Theory of Biological Fluids group operates within the Max Planck Institute's Department of Fluid Dynamics, utilizing advanced modeling to bridge theoretical physics and cellular biology.

Nina Herrmannمشاهده پروفایل

پژوهشگر

• Parallel Programming
• Domain-Specific Languages (DSL)
• Algorithmic Skeletons
• +۵ مورد دیگر

Dr. Nina Herrmann is a researcher at the Chair of Machine Learning and Data Engineering (School of Business and Economics, University of Münster). Her work focuses on parallel programming, domain-specific languages (DSL), and algorithmic skeletons for heterogeneous computing environments. Education: Bachelor of Information Systems (WWU Münster, 2017) Master of Science in Information Systems (WWU Münster, 2019) Semester abroad at University of Trento (Italy, 2018–2019) Research Interests revolve around optimizing high-performance computing through algorithmic skeletons, DSL design, and machine learning applications in resource-constrained systems. She has supervised multiple theses on topics including EdgeML methods, memory-efficient ML models, and parallel programming frameworks. Project Contributions include the ongoing Musket (Muenster Skeleton Tool) for DSL-based parallel code generation, and the completed Muesli (Muenster Skeleton Library), which simplified parallel application development using algorithmic skeletons. Teaching Activities span courses like Computer Science I/II , Parallel Programming , and specialized seminars on topics including graph machine learning and process mining. Contact: nina.herrmann@uni-muenster.de

• Control Systems Engineering
• Networked Control Systems
• Diffusion Processes
• +۴ مورد دیگر

Fangzhou Liu is currently a Professor at the Research Institute of Intelligent Control and Systems, School of Astronautics, Harbin Institute of Technology, China (2022–Present). He previously held a postdoctoral position (2019–2022) and completed his PhD (2014–2019) at the Chair of Automatic Control Engineering, Technische Universität München, Germany. His academic journey includes a visiting PhD stint at the University of Groningen (2018) and degrees from Harbin Institute of Technology: M.Sc. (2012–2014) and B.Sc. (2008–2012) in Control Science and Engineering. Research Interests: Focus on control of complex systems, including diffusion processes over complex networks, opinion dynamics, networked control systems, model predictive control, and sliding mode control. Key themes: large-scale systems, dynamic optimization, and robust control. Publication Trends: Recent works emphasize robotic control (reinforcement learning, barrier functions), switched systems (parameter estimation, identification), and epidemic modeling (deep transfer learning for forecasting). Collaborations with Martin Buss and others span robotics, control algorithms, and optimization. Awards: PhD Award 2019 of the Department of Electrical and Computer Engineering Labs & Teams: Affiliated with the Chair of Automatic Control Engineering (Technische Universität München) and Harbin Institute of Technology’s Research Institute of Intelligent Control and Systems. Collaborates on projects involving intelligent control, robotics, and networked systems.

Markus Kattenbuschمشاهده پروفایل

استاد

• Construction Management
• Cost Estimation
• Contract Law
• +۵ مورد دیگر

Markus Kattenbusch is a Professor in the Department of Civil and Environmental Engineering at Bochum University of Applied Sciences. He currently serves as Vice Dean for Budget and Finance, Program Coordinator for the Dual Study Program, and Member of the Departmental Council. His teaching focuses on cost determination, construction law, project development, and contract management for Bachelors students. His research expertise includes Construction Price Determination , Calculation and Billing in Building and Civil Engineering , and Construction Process Disruptions . He has developed frameworks for legal compliance in cost calculation and analyzed compensation models in construction contracts. The 15 most recent publications span Civil Engineering , Construction Law , and Project Management , with specific subfields including Legal Compliance , Cost Estimation , Lump Sum Contracts , and Disruption Analysis . These works reflect his long-term focus on aligning contractual obligations with practical construction economics. His methodological contributions address Payment Settlement in special civil engineering contexts, Speculative Costing in insufficiently planned projects, and Subcontractor Pricing models. These trends demonstrate his commitment to resolving cost and risk management challenges in construction projects.