جست‌وجوی استاد و پژوهشگر

• Combinatorial Optimization
• Algorithmic Discrete Mathematics
• Routing and Scheduling
• +۲ مورد دیگر

Britta Peis is a Professor of Management Science at RWTH Aachen University since September 2013. She studied Mathematics and Sports Sciences at the University of Cologne and German Sport University Cologne, respectively. Her academic journey includes positions at TU Dortmund (2006-2007), TU Berlin (2007-2010), and a visiting professorship at Otto-von-Guericke University Magdeburg (2010-2011). Her research focuses on Combinatorial Optimization , Algorithmic Discrete Mathematics , Routing and Scheduling , Robust Optimization , and Algorithmic Game Theory . Her work spans theoretical and applied domains, including network flow analysis, auction algorithms, and strategic decision-making in complex systems. Recent publications (2025-2024) highlight advancements in dynamic auction mechanisms, Stackelberg game formulations, and train routing algorithms. Earlier works (2022-2018) explore matroid theory, packet routing with priority lists, and sensitivity analysis in polymatroid optimization. Key trends include algorithmic design for competitive networks and robustness in time-dependent flows. She is affiliated with the Graduiertenkolleg UnRAVeL (Aachen Institute for Discrete Mathematics and Logic) and contributes to the Chair of Management Science's research agenda in combinatorial optimization and algorithmic game theory.

Ulrich Schroedersمشاهده پروفایل

استاد

• Psychological Diagnostics
• Technology-based Competency Diagnostics
• Measurement of Cognitive Abilities
• +۵ مورد دیگر

Ulrich Schroeders is a Professor of Psychological Diagnostics at the University of Kassel, where he has been employed since October 2017. His work focuses on developing and validating psychological assessment tools, with particular expertise in cognitive diagnostics and educational measurement. He teaches various programs for approximately 500 students annually and serves as a supervisor for teacher training students preparing for their oral state examinations in Pedagogy/Psychology. Dr. Schroeders earned his PhD from Humboldt University of Berlin in 2010 with a dissertation titled "Measurement of Cognitive Abilities Using Modern Technologies: Artifacts, Equivalence, and New Constructs." Prior to that, he completed his Diploma in Psychology at Julius-Maximilians-University Würzburg in 2004 with a thesis on diagnosing dyscalculia in first-grade students. His research spans several key areas in psychological assessment. He specializes in technology-based competency diagnostics, developing innovative methods for measuring cognitive abilities and school competencies. A significant portion of his work involves applying Machine Learning and metaheuristics to psychometric problems, particularly in structural equation modeling. His methodological expertise includes advancing techniques in Local Structural Equation Modeling (LSEM) and Meta-Analytic Structural Equation Modeling (MASEM), with applications across educational and clinical psychology contexts. Analysis of Dr. Schroeders' recent publications reveals a strong focus on computational approaches to psychological assessment. His work frequently employs optimization algorithms like Ant Colony Optimization and Bee Swarm Optimization to address challenges in test construction and validation. There's a clear trajectory toward game-based and technology-enhanced assessment methods, as seen in studies using Mastermind and Wordle as assessment tools. His research also demonstrates growing interest in applying machine learning to predict behavioral outcomes, including juvenile delinquency, suicide risk, and psychotherapy outcomes. Dr. Schroeders has secured significant research funding, including projects funded by the German Research Foundation (DFG) and the Hector Foundation. His current projects include "Facing the Replication Crisis in Machine Learning Modeling" (2025-2027) and "PINGUIN: Potenzialidentifikation IN der GrUndschule" (2024-2027), which focuses on identifying elementary students' initial competencies. He leads the development of the BEFKI assessment system (Berliner Test zur Erfassung fluider und kristalliner Intelligenz), which includes versions for different age groups (5-7, 8-10, and 11+). His methodological toolbox includes specialized approaches for test construction and validation, particularly focusing on optimization algorithms applied to psychological measurement problems.

Jörn Meissnerمشاهده پروفایل

استاد

• Supply Chain Management
• Pricing Strategy
• Revenue Management
• +۵ مورد دیگر

Prof. Jörn Meissner, PhD, is a Full Professor of Supply Chain Management & Pricing Strategy at Kühne Logistics University (KLU) since 2011. He holds a PhD and Master’s in Management Science from Columbia Business School and a Diploma in Business from University of Hamburg . As an academic and entrepreneur, he founded Manhattan Review and Lancaster Executive . Education: PhD in Management Science, Columbia University (2005) Master of Philosophy, Columbia University (2005) Diplom-Kaufmann, University of Hamburg (1997) Research Expertise: Focus on stochastic and dynamic decision-making using mathematical optimization and machine learning Key projects: Global supply chain optimization , Inventory control , Revenue management , and Operations & service management Industry collaborations with British Telecom , British Airways , Apple Europe , and SAP Germany Publication Trends: Recent work addresses intermittent demand forecasting for spare parts, lateral transshipment optimization , and risk-sensitive capacity control Historical contributions include progressive interval heuristics for multi-item lot sizing and dynamic pricing with customer choice models Teaching Experience: Previously held academic positions at Lancaster University Management School , University of Hamburg , and University of Mannheim Developed MBA electives in Advanced Decision Models , Supply Chain Management, and Revenue Management

• Case-Based Reasoning (CBR)
• Artificial Intelligence
• Multi-Agent Systems
• +۴ مورد دیگر

Dr. Pascal Reuss is a Researcher at the Intelligent Information Systems (IIS) Division within the Institute of Computer Science , University of Hildesheim . His work focuses on Case-Based Reasoning (CBR) systems, Multi-Agent Systems , and Knowledge Management applications. Active in CBR framework development and game-based AI research Teaching Computer Science III (Databases) for winter 2025/26 Participating in university sustainability initiatives like Stadtradeln 2024/25 Reuss contributes to AI education through practical implementations in gaming environments and has developed visualization tools for CBR agent behavior. His research spans multi-agent collaboration , dynamic case bases , and domain-specific language implementations for knowledge maintenance. Notable contributions include: Co-developing the FEATURE-TAK framework for knowledge extraction Designing case factories for distributed CBR systems Implementing finite state machines for tactical game agents Creating CBR-based fitness planning systems His work appears in various CBR and Game Development publications from 2011-2024. The research demonstrates practical applications of CBR in aircraft maintenance diagnostics , training plan generation , and educational technology contexts.

Ilona Buchemمشاهده پروفایل

استاد

• Digital Media
• Communication
• Collaboration
• +۱۰ مورد دیگر

Prof. Dr. Ilona Buchem is a Professor of Communication and Media Studies at the Berlin University of Applied Sciences (BHT), Department I of Business and Social Sciences. She serves as Head of the Communication Laboratory and leads research in human-robot interaction, educational robotics, and technology-enhanced learning. Her work spans multiple interdisciplinary projects including Social Robotics, Open Virtual Mobility, and ePA-Coach, focusing on digital media for communication, collaboration, and digital sovereignty for older adults in healthcare contexts. Dr. Buchem holds a doctorate in business education from Humboldt University and a certificate in business administration from the University of St. Gallen, Switzerland. Her academic background bridges business education with digital media expertise, positioning her at the intersection of technology and communication for innovative educational approaches. Her research interests focus on human-robot interaction in educational contexts, social robotics for learning, AI applications in education, and digital media for communication and collaboration. She explores how robots can serve as educational tools in business studies, language learning, and health-related applications. Her work also investigates digital sovereignty, particularly for older adults using electronic health records, and the use of open digital credentials like Open Badges for recognizing learning achievements. The integration of gamification elements with social robots represents another significant strand of her research, enhancing student engagement and learning outcomes. Analysis of her recent publications reveals a strong focus on practical applications of social robots in educational settings, particularly examining student perceptions of different robot platforms (NAO, Pepper, Furhat). Her work increasingly integrates generative AI with robotics, exploring conversational interfaces and new learning paradigms. There's also a consistent thread examining digital literacy for seniors, especially regarding electronic health records, and innovative approaches to recognizing learning through micro-credentials and digital badges. Dr. Buchem actively supervises numerous bachelor's and master's theses across multiple programs including Business Administration: Digital Economy and Media Informatics Online. She has established a digital award system based on Open Badges to recognize outstanding thesis work with top grades. Her research is supported through various funding sources including BMBF, EU, DFG, and industry partners, with projects spanning social robotics, virtual reality applications, and digital credentialing systems that connect academic research with practical applications. She leads the Communication Laboratory at BHT and is actively involved in the 'House of Robotics' initiative at the university. Her work connects with international partners through projects like Social Robotics (EU) and Open Virtual Mobility, creating a global network for educational robotics research and development that bridges European institutions and promotes cross-cultural educational exchange.

Matthias Firgoمشاهده پروفایل

استاد

• Tourism Economics
• Regional Economics
• Applied Econometrics
• +۳ مورد دیگر

Matthias Firgo serves as Professor at Munich University of Applied Sciences within the Faculty of Business and Management (Faculty 14), where he directs the Master's program in Strategy and Innovation in Tourism and provides academic advising on program design and admissions. His research expertise centers on Tourism Economics and Regional Economics, with specialized focus on empirical analysis of mega-events' economic impacts and tourism taxation systems. He employs advanced econometric methods to investigate causal relationships in tourism markets, particularly examining how accommodation taxes (Bettensteuer) affect Bavarian destinations and whether Olympic Games generate tangible economic benefits for host regions. Prof. Firgo currently leads the research project "Erwartbare Auswirkungen eines abgabefinanzierten Tourismus auf bayerische Destinationen" (2023-2024), analyzing causal effects of new tourism taxes in Germany. His policy-relevant work frequently informs public discourse through extensive media engagement on tourism economics.

Norbert Pohlmannمشاهده پروفایل

استاد

• Cyber Security
• Internet Security
• IT Security
• +۷ مورد دیگر

Professor Norbert Pohlmann serves as Professor of Cyber Security in the Department of Computer Science I at Westfälische Hochschule (Westphalian University of Applied Sciences) in Gelsenkirchen, Germany. He leads the Institute for Internet Security (if(is)) and serves as Data Security and Network Officer for the university. Pohlmann also coordinates the Master's Internet Security program and maintains significant leadership positions in national and international cybersecurity organizations including as Chairman of the Board of TeleTrusT (the German IT Security Association), Board Member of eco (the German Internet Industry Association), and member of the Advisory Group of the European Union Agency for Cybersecurity (ENISA). His research focuses on Cyber Security, Internet Security, and IT Security with specializations in Trusted Computing, Mobile Security, Network Security, Data Protection, and AI Security. Pohlmann's work encompasses practical applications including Internet early warning systems, botnet detection, SmartCar/SmartGrid security, and firewall systems. He has developed trust-building mechanisms for digital environments and pioneered approaches to making cybersecurity solutions more trustworthy. Pohlmann's recent publications and presentations (2023-2025) demonstrate his leadership in emerging security challenges, particularly regarding AI security, digital trust frameworks, and gaming security. His work shows a consistent trend toward addressing the intersection of technological innovation and security requirements, with increasing emphasis on trustworthiness as a foundational element for digital transformation. Among his notable professional contributions are his leadership in developing the Cyber-Nation initiative, his work on EU AI Act compliance frameworks, and his research on security threats in gaming environments. His publications span both academic and practical domains, reflecting his commitment to bridging theoretical security concepts with real-world implementation. As an educator, Pohlmann teaches both Bachelor's and Master's level courses including Internet Protocols, IT Security Fundamentals, and specialized Internet Security courses. He has supervised numerous Master's theses and developed comprehensive curricula for cybersecurity education that emphasize both technical skills and strategic security thinking.

Philipp Lensingمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۵ مورد دیگر

Prof. Dr.-Ing. Philipp Lensing serves as a Professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences. His academic work focuses on cutting-edge developments in virtual and augmented reality systems, computer graphics, and game programming. His research interests span Virtual Reality , Augmented Reality , Mixed Reality , Game Programming , Computer Graphics , and Natural User Interfaces . Prof. Lensing has pioneered work in real-time global illumination techniques, avatar calibration systems, and the integration of virtual content with real environments. His research has been applied across diverse domains including landscape planning, physics education, medical rehabilitation, and industrial engineering. Prof. Lensing's recent publications reveal a strong trend toward practical applications of VR/AR technologies in scientific, educational, and industrial contexts. His work increasingly focuses on multimodal interaction, haptic feedback systems, and the integration of VR with complex scientific instrumentation like scanning probe microscopy. He has supervised numerous student projects focused on VR/AR applications, game development, and 3D modeling. His teaching includes courses on Computer Graphics, 3D Game Programming, Virtual and Augmented Realities, and 3D Modeling and Animation. Prof. Lensing leads several research projects including GROWTH (funded by BMBF), VRnano (BMBF), VRFlow Suite, VR-Physio-BOX, and MoDal-MR, all exploring innovative applications of immersive technologies in various practical contexts.

Lisa Musculusمشاهده پروفایل

پژوهشگر

• Sport Psychology
• Cognitive-Motor Development
• Decision Making in Sports
• +۹ مورد دیگر

Lisa Musculus is a post-doctoral researcher at the Psychological Institute, Department of Performance Psychology, German Sport University Cologne. She holds a PhD in Psychology and is actively involved in research, teaching, and PhD supervision. Her work spans sport psychology, cognitive-motor development, and performance science, with strong interdisciplinary applications. Education: M.Sc. in Psychology, University of Cologne and University of Konstanz Dr. in Psychology, German Sport University Cologne Her research focuses on the interaction between cognitive and motor processes in sports, particularly in children and youth. She explores how these processes develop and contribute to expertise in sports such as soccer, climbing, table tennis, and esports. Using a developmental embodied-cognition framework, she conducts experimental, longitudinal, and training studies, integrating cognitive testing, motor assessment (including Vicon), and psychophysiological data. Her work has practical implications for talent identification, individualized training, and health and education programs. Her recent publications reflect a strong trend in decision-making, reinvestment under pressure, and perceptual-cognitive development in youth athletes. Topics include meta-analyses on option generation, psychophysiological reviews of reinvestment, and biomechanical studies of climbing expertise. Scientific Awards: Best Dissertation Award (Life Sciences), German Sport University Cologne, 2019 Member, Young Academy of the Academy of Sciences and Arts NRW, 2023 Early Career Research Prize, German Society of Sport Psychology, 2014 ASP Poster Prize (2nd Place), 2017 Health Psychology Congress Poster Prize, 2015 Lisa Musculus supervises several PhD students working on elite female sports performance, soccer decision-making, perceptual-cognitive development, reinvestment, and esports cognition. She is also involved in major research projects such as 'in:prove', 'Climbing to yourself', and collaborations with professional clubs like 1.FC Köln and DSC Arminia Bielefeld. She teaches courses in motor learning, sport psychology, health psychology, and research methods. Labs and Teams: She is part of the research group led by Prof. Markus Raab and collaborates extensively within the Department of Performance Psychology. Her work is embedded in the 'Mind in Motion' profile focus and involves interdisciplinary teams using advanced motor and cognitive assessment tools.

• Financial Mathematics
• Stochastic Processes
• Risk Management
• +۳ مورد دیگر

Prof. Dr. Francesca Biagini is a full Professor at the Department of Mathematics, University of Munich (LMU Munich) , leading the Stochastics and Financial Mathematics working group. She serves as Vice President for International Affairs and Diversity at LMU Munich since October 1, 2019, and as President of the Bachelier Finance Society (2022–2023). She is also a Correspondent of the Deutsche Aktuarvereinigung (DAV) and a member of the Executive Board of the Munich Risk and Insurance Center (MRIC) since 2017. Her research focuses on stochastic processes in financial markets , particularly asset price bubbles , default risk modeling , and robust hedging under model uncertainty. Recent work includes deep learning applications to bubble detection and non-linear affine processes for market dynamics. She actively contributes to academic leadership through teaching and publications, including 15+ recent articles on topics like liquidity-induced bubbles, machine learning calibration, and systemic risk transfer equilibrium. Her workgroup collaborates on quantLab initiatives and DAV certificate programs .

• Business Model Development
• Software Ecosystems
• Virtual Reality
• +۵ مورد دیگر

Sebastian Gottschalk is a researcher at Paderborn University, Germany, specializing in business model development within software ecosystems, virtual reality applications, and model-driven software engineering. His research focuses on creating situation-specific approaches to business model development, with particular emphasis on tool support, method composition, and knowledge provision. His research interests span business model innovation, virtual reality applications for education and collaboration, model-driven development, and end-user programming. He has made significant contributions to understanding how business models can be developed in context-aware ways within software ecosystems, with practical applications in tool development and method engineering. His publication record shows a clear progression from foundational work on business model development to innovative applications in virtual reality and gamification. Recent work demonstrates increasing focus on practical implementations, particularly in educational contexts using VR technology to teach UML and software modeling concepts. Gottschalk has collaborated extensively with Gregor Engels (27 publications together), Enes Yigitbas (20 publications), and Alexander Nowosad (7 publications), indicating strong research partnerships that have driven much of his recent work in business model development and virtual reality applications.

• Computer Science
• Continuous Time Models of Computation
• Analog Computing
• +۱۲ مورد دیگر

Olivier Bournez is a Professor of Computer Science at École Polytechnique, part of Institut Polytechnique de Paris (IP Paris), where he is affiliated with the Department of Computer Science (DIX) and the Computer Science Laboratory (LIX), a joint CNRS unit (UMR 7161). He previously served as Director of LIX from 2010 to 2015 and currently holds key leadership roles including Vice-head of the Computer Science, Data and Artificial Intelligence department at IP Paris, Head of the 'Proofs and Algorithms' pole, and Head of the 'Algorithms and Complexity' team at LIX. His research focuses on the theoretical foundations of computation, particularly continuous-time models such as analog computing and dynamical systems, computational complexity over real numbers, distributed computing models like population protocols, and the interplay between differential equations and computation. He explores the limits of computability and complexity in both discrete and continuous domains, with applications in verification, rewriting systems, and chemical computation models. The recent publications reflect a strong trend in characterizing computability and complexity using discrete and continuous ordinary differential equations, with significant contributions to the understanding of polynomial-time computation over real numbers and the Turing completeness of chemical reaction networks. His work bridges theoretical computer science, mathematics, and biological computation, often yielding foundational insights with broad implications. MFCS'2023 Best Paper Award (coauthored with Manon Blanc) MCU'2022 Student Best Paper Award (Manon Blanc) ICALP'2016 Best Paper Award (Track B) CIE'2016 Best Paper Award CMSB'2017 Best Paper Award Ackermann Award 2017 (Amaury Pouly, PhD co-supervised) Bournez has advised several successful students, including Amaury Pouly and Manon Blanc, and has secured research funding, notably the ANR project ∂IFFERENCE. He is actively involved in the academic community, managing the Computability in Europe (CIE) association membership and serving on the editorial board of the journal Computability . His work includes educational outreach through articles in La Recherche , Le Monde 's blog 'Binaire', and the co-authorship of a French computer science textbook. He leads the 'Algorithms and Complexity' research team at LIX and is central to the 'Proofs and Algorithms' pole, fostering collaborative research in foundational computer science.

Fariba Mostajeranمشاهده پروفایل

پژوهشگر

• Medical Mixed Reality
• Digital Health
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Fariba Mostajeran is a Researcher at the Human-Computer Interaction research group within the Department of Informatics at the University of Hamburg. Her interdisciplinary work bridges computer science, psychology, and environmental science to investigate the psycho- and physiological effects of immersive media on users across different age groups, with particular focus on therapeutic applications of virtual and augmented realities. Her educational background includes: B.Sc. in Computer Engineering-Software from the University of Isfahan (Iran) M.Sc. in Digital Media from the Universität Bremen Ph.D. in Human-Computer Interaction at the Universität Hamburg Dr. Mostajeran's research centers on Medical Mixed Reality , Digital Health , and Human-Computer Interaction , with emphasis on how virtual environments can enhance cognitive performance, psychological well-being, and therapeutic outcomes. She systematically investigates the impact of virtual nature exposure on memory, attention, and mood, developing applications for mental health treatment, rehabilitation, and workplace design. Her methodological approach combines controlled experiments with user-centered design to create effective immersive interventions. Analysis of her recent publications reveals three major research thrusts: (1) the therapeutic applications of virtual nature for mental health and cognitive enhancement, (2) the development and evaluation of intelligent virtual agents for healthcare applications, and (3) understanding the cognitive and physiological mechanisms underlying user responses to immersive environments. Her work increasingly focuses on multimodal interaction with virtual agents and their implementation in clinical settings. Her scholarly contributions have been recognized through: Ideas and Venture Fund (IVF), Universität Hamburg, 2024-2025 EXIST-Gründerstipendium (EXIST Founder Scholarship), 2014-2015 Deutschlandstipendium (German Scholarship), 2012-2013 Dr. Mostajeran has supervised over 30 master's and bachelor's theses focusing on virtual reality applications across diverse domains including mental health interventions, cognitive training, and therapeutic environments. Her research has received support from university innovation funds and national scholarship programs. She serves on multiple academic committees including professorship selection committees and examination boards, contributing significantly to institutional governance. Her active participation in major conferences as program committee member and reviewer demonstrates her standing in the HCI and VR research communities. She works within the Human-Computer Interaction research group at the University of Hamburg led by Prof. Dr. Steinicke, which maintains strong connections with clinical partners and industry collaborators to translate research findings into practical healthcare applications. The group's facilities include state-of-the-art VR laboratories equipped for comprehensive user studies measuring both behavioral and physiological responses.

• Gerontology
• Public Health
• Social Policy
• +۴ مورد دیگر

Prof. Dr. Ansgar Thiel is a Professor in the Department of Social Sciences at Eberhard Karls University Tuebingen. His work focuses on gerontology, public health, and sociological aspects of aging. He leads research in the HELP (Helping the Elderly to enjoy Long Complete lives) group, addressing stereotypes of elderly populations, physical activity promotion, and health behavior in aging societies. His interdisciplinary projects include the BaSAlt study on physical activity in nursing homes and studies on elite athletes’ health challenges. He collaborates with the Institute of Political Science and Policy Analysis, exploring social conflicts and institutional dynamics. Key research areas include: 1) Aging populations and social policies, 2) Physical activity interventions for elderly and marginalized groups, 3) Mental health in high-performance domains (sports, music), and 4) Sociological analysis of e-sports and digital culture. His work emphasizes participatory approaches and transdisciplinary collaboration with healthcare institutions and long-term care facilities. Publications span topics from analgesic use in elite sports to pandemic impacts on older adults’ social networks. He co-developed the GEKOS educational program to enhance youth health literacy and contributed to guidelines for occupational health management (BGM). His research bridges social sciences with practical health promotion strategies in diverse settings.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Christian Eichhorn is an Assistant Professor in the Department of Computer Science at Technical University of Munich, specializing in Human-Computer Interaction, Virtual Reality, and Augmented Reality applications. His research primarily focuses on developing serious games and immersive technologies for healthcare, education, and older adults. He has established a strong collaborative network, particularly with David A. Plecher and Gudrun Klinker, resulting in numerous publications in top HCI and VR venues. Dr. Eichhorn's research interests center around creating accessible and engaging technology applications. His work demonstrates particular expertise in developing serious games for various educational purposes (language learning, history education), healthcare applications (rehabilitation, dementia care), and technologies specifically designed for older adults. His research combines technical innovation in AR/VR systems with practical applications addressing real-world challenges in healthcare and education. Analysis of his recent publications (2022-2025) reveals a consistent focus on practical applications of immersive technologies. His work spans educational tools for programming and language learning, healthcare applications for rehabilitation and clinical training, and specialized technologies for older adults. The research demonstrates a strong interdisciplinary approach, bridging computer science with healthcare, education, and gerontology. His technical contributions include innovations in AR/VR system design, collaborative environments, and novel interaction techniques. Dr. Eichhorn has been actively involved in organizing workshops and contributing to major conferences in the VR/AR field, including IEEE VR and ISMAR. His collaborative approach is evident in his extensive co-authorship network spanning multiple institutions. His laboratory work focuses on developing practical AR/VR applications, with particular emphasis on creating systems that bridge virtual and physical experiences. Current projects include serious games for health behavior change, rehabilitation assessment tools using wearable sensors, and social VR environments for older adults.