جست‌وجوی استاد و پژوهشگر

• Business Informatics
• Information Management
• E-Commerce
• +۷ مورد دیگر

Prof. Dr. Wolfgang König is a Professor and Chair Holder at the Johann Wolfgang Goethe University in Frankfurt am Main, Germany. He is affiliated with the Department of Economics and the Institute of Business Administration, where he focuses on Business Informatics and Information Management. His academic career spans several decades, during which he has made significant contributions to the fields of E-Commerce, Standardization, and Information Systems. Prof. König's research interests primarily center around Business Informatics and Information Management, with a particular focus on E-Commerce, Standardization, Network Effects, and Electronic Data Interchange. His work explores the intersection of technology and business processes, examining how information systems can be leveraged to improve organizational efficiency and competitiveness. He has conducted extensive research on software standards, WebEDI, and digital signature legislation, contributing valuable insights to both academic and practical domains. Analysis of Prof. König's recent publications reveals a strong focus on the practical applications of information systems in business contexts. His work spans multiple domains including automotive industry supply chains, E-Commerce diffusion, and virtual knowledge communities. The research demonstrates a consistent interest in how technological standards emerge and diffuse through networks, with particular attention to the economic implications of these processes. His publications often combine theoretical frameworks with empirical studies, providing both conceptual contributions and practical insights for industry practitioners. While specific details about his advising activities and research grants are not provided in the available text, Prof. König's extensive publication record suggests active engagement with students and colleagues. His research has likely been supported by various funding mechanisms given the scope and depth of his investigations into business information systems and their applications across multiple industries. Prof. König's work appears to be conducted within the broader context of the Institute of Business Administration at Johann Wolfgang Goethe University, which likely provides the infrastructure and collaborative environment necessary for his research on business information systems and their applications.

Jürgen Moormannمشاهده پروفایل

استاد

• Banking Management
• Process Management
• Business Engineering
• +۷ مورد دیگر

Professor Jürgen Moormann is a distinguished academic at Frankfurt School of Finance & Management, where he has served as Professor of Banking and Process Management since 1995. He previously held positions as a research assistant at Christian-Albrechts-University in Kiel (1986-1989) followed by five years in management consulting before joining academia. From 2005 to 2022, he led the ProcessLab research center, and from 2014 to 2018, he held the Concardis Endowed Professorship for Banking and Process Management. His international academic experience includes visiting professorships at the University of Colorado at Colorado Springs, University of New South Wales, Queensland University of Technology, and University of Hong Kong. Moormann's educational background includes vocational training at Commerzbank AG in Kiel (1977-1979), followed by business administration studies at the Universities of Kiel and Zurich (1980-1985), and doctoral studies completed at Christian-Albrechts-University in Kiel. His academic journey reflects a strong bridge between practical banking experience and theoretical research. His research interests span banking management, process management, business engineering, Six Sigma implementation in financial services, digital transformation, and customer-centric process design. Recent work has expanded into burnout prevention in academic settings, healthcare process management, and sustainability in banking operations. Moormann has consistently published in both German and English-language journals, demonstrating his ability to bridge academic traditions and reach diverse audiences. An analysis of his recent publications reveals a clear evolution from traditional banking process management toward more interdisciplinary topics, including healthcare processes, sustainability, and human factors in process design. His work increasingly integrates technological innovation with human-centered approaches, reflecting the changing landscape of financial services and organizational management. Vice Chairman of the Supervisory Board of Karis AG, Darmstadt Member of the Scientific Advisory Board of International Bankers Forum e.V., Frankfurt Trusted Professor of the Friedrich-Naumann Foundation, Berlin Associate Editor of 'Knowledge Management & E-Learning: An International Journal' Member of the Program Committee of the 'Global Business Conference' (Croatia) Moormann maintains active academic affiliations with the Association for Information Systems (AIS), BPM Association, German Computer Science Society (Gesellschaft für Informatik), and the Association of Business Administration Professors (Verband der Hochschullehrer für Betriebswirtschaft). His ProcessLab research center (2005-2022) significantly contributed to bridging academic research and practical banking applications, particularly in process optimization and digital transformation. Current research directions include exploring the relationship between process management and burnout prevention, as evidenced by his 2024 monograph 'Process Management and Burnout Prevention: A Human-Centred Approach to Reducing Work-Related Stress'.

Christoph Görtzمشاهده پروفایل

استاد

• Empirical Macroeconomics
• Macroeconomics
• Monetary Policy
• +۳ مورد دیگر

Christoph Görtz is a full Professor at the Chair of Economics with a Focus on Empirical Macroeconomics in the Faculty of Economics at the University of Augsburg. His research spans empirical macroeconomic modeling, monetary policy effects, financial frictions, and business cycle dynamics. He teaches Macroeconomics I and II in both Bachelor's and Master's programs. The Chair's research emphasizes news shocks , financial intermediation , and expectations-driven fluctuations . Recent work investigates inventory accumulation drivers, pandemic economic impacts, and TFP shocks using panel data and econometric methods. All publications since 2012 reflect interdisciplinary approaches combining macroeconomic theory with empirical testing. Collaborators include economists from institutions like the Federal Reserve Bank, Oxford University, and University of Leeds. The Chair includes a secretariat (Sigrid Grad), three research associates (Carolin Rinner, Nadine Böhm, Elisa Winter), and student assistants. Contact details are provided for thesis supervision and exam reviews.

Xiaojuan Maمشاهده پروفایل

استاد

• Human-Computer Interaction
• Data Visualization
• AI-Human Collaboration
• +۳ مورد دیگر

Xiaojuan Ma is a Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST) . Her office is located in Room 3507 of the Academic Building (Lifts 25-26), and she can be reached at mxj@cse.ust.hk . Research Interests: Human-Computer Interaction (HCI) Data Visualization & Visual Analytics Human-AI Collaboration & Social Computing Computational Social Science AI in Healthcare & Educational Technology Her work explores how advanced AI—especially large language models and generative AI—can be seamlessly integrated into human workflows, creative practices, and decision-making processes while preserving human agency and cultural values. Recent Publication Trends (2025): Across 15 forthcoming papers, a clear pattern emerges: the majority investigate human-centered design of AI systems, spanning creative communities (DeviantArt), traditional medicine, hospital admissions, children’s literacy, and older-adult journaling. Visualization and mixed-reality techniques are repeatedly leveraged to make complex data and AI outputs interpretable. Scientific Awards: CHI 2025 Honorable Mention for “Signaling Human Intentions to Service Robots” CHI 2025 Honorable Mention for “‘Let’s Resolve Conflicts’: A Human-AI Deliberation Framework” CHI 2025 Honorable Mention for “‘AI Afterlives’ as Digital Legacy” Student Supervision & Collaborations: Prof. Ma advises an extensive cohort of PhD and Master’s students—including Qingyu, Kangyu, Runhua, Ziqi, Chengbo, Shuai, and more—and maintains active collaborations with researchers at ECNU, SYSU, ShanghaiTech, CityU, HKUST-GZ, Purdue, and ETH Zurich, among others. Labs & Teams: While no single lab name is provided, her affiliations with VisLab (Prof. Qu) and CORE (Collaborative and Robotic Engineering) at HKUST suggest multi-disciplinary research environments that blend visualization, robotics, and social computing expertise.

• Bioprocess Engineering
• Biopharmaceutical Production
• Fermentation Technology
• +۳ مورد دیگر

Prof. Jørgen Magnus serves as Chair of Bioprocess Engineering at RWTH Aachen University, Germany, with his primary affiliation in the AVT (Aachener Verfahrenstechnik) department under the university's Molecular Science & Engineering (MSE) profile area. He holds a Professor rank and maintains active duties as evidenced by his office location in Research Building NGP2 (Room A-307, Forckenbeckstraße 51, Aachen) and direct contact channels including email jorgen.magnus@avt.rwth-aachen.de. His research program centers on advancing bioprocess engineering through three interconnected domains: biopharmaceutical manufacturing (viral vectors, CHO cell cultures), fermentation innovation (gas fermentations, microbial strain optimization), and process analytics (real-time monitoring, scale-up methodologies). Key specialties include adeno-associated virus (AAV) production, metabolic engineering of hosts like Vibrio natriegens and Komagataella phaffii , and development of novel sensors for dissolved oxygen, biomass, and metabolite tracking across cultivation systems from microtiter plates to industrial bioreactors. Analysis of his 15 most recent publications (2024-2025) reveals consistent emphasis on solving industry-critical bottlenecks in biomanufacturing. A dominant trend involves bridging scale gaps —demonstrated in studies translating microtiter plate data to stirred-tank reactors—and stress mitigation in cell cultures (e.g., hydromechanical stress in CHO cells). His work increasingly integrates renewable feedstocks (e.g., syngas, molasses) with real-time analytics to optimize carbon utilization and product yields, reflecting industry shifts toward sustainable, data-driven bioprocessing.

Ronald Klingebielمشاهده پروفایل

استاد

• Decision-Making Under Uncertainty
• Resource Allocation in Innovation
• Technology Strategy
• +۴ مورد دیگر

Ronald Klingebiel is a Professor of Strategy at the Frankfurt School of Finance and Management, with prior academic affiliations at Warwick, Duke, MIT, Columbia, and Cambridge. His research focuses on decision-making under uncertainty, particularly resource allocation in innovation and strategy. Recent publications highlight his expertise in organizational innovation selection, ambiguity aversion, and strategic timing decisions. His work spans empirical studies in Africa, real options theory, and behavioral approaches to corporate strategy. Key themes: Technology Strategy , Decision-Making , Risk Management , Innovation Portfolios Ronald has secured grants from the UK Economic and Social Research Council and the European SEEK Programme. He contributes to popular media outlets like Forbes , Harvard Business Review , and The Conversation , and has been featured in prominent global media platforms. His advisory roles include designing courses at multiple degree levels (Bachelor, Master, MBA, PhD) and delivering executive education to technology firms. He advocates for diversified digital business models and explicit data privacy frameworks.

• System Dynamics
• Operations Management
• Behavioral Operations Management
• +۶ مورد دیگر

Jürgen Strohhecker is a Professor of Business Administration, Operations, and Cost Management at the Frankfurt School of Finance & Management. He has held this position since 1999 and is renowned for integrating system dynamics into operational and managerial research. His work spans behavioral operations management, inventory control, and sustainable strategies. Education: Studied business administration at Mannheim University (1987–1992), earning a doctoral degree (Dr. rer. pol.) in 1997. Strohhecker’s research focuses on dynamic complex decision-making, behavioral accounting, and production control. His work applies system dynamics to areas like supply chain risk modeling, sustainable business strategies, and cognitive traits in inventory management. He has developed tools for balanced scorecard cockpits and explored technology adoption in financial services. His recent publications emphasize team mental models, safety stock optimization, and Kanban integration in pharmaceutical production. Articles highlight interdisciplinary applications of system dynamics in sustainability and strategic implementation. Scientific Awards: Prechel Foundation Research Prize (1998) Excellence in Teaching Award (2010) Hessian Academic Award for Teaching (Top 12 submission, 2010) Strohhecker has held leadership roles, including President of the System Dynamics Society (2015) and Deutsche Gesellschaft für System Dynamics (2006–2010). He collaborates with institutions like London Business School and contributes to academic and professional associations.

Shmuel Avidanمشاهده پروفایل

استاد

• Object Tracking
• 3D Object Modeling
• Computer Vision
• +۳ مورد دیگر

Prof. Shmuel Avidan serves as a Professor in the School of Electrical Engineering at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. Holding a Ph.D. from Hebrew University's School of Computer Science (1999), he brings extensive industry experience from Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research to his academic role. His educational trajectory features: Ph.D. in Computer Science, Hebrew University of Jerusalem (1999) Avidan's research centers on pixel-centric computational problems, with seminal contributions in video object tracking and 3D object modeling from 2D images. His work spans computer vision, image processing, and machine learning, emphasizing practical applications in industrial settings. Current investigations explore neural rendering, foundation models, and diffusion-based architectures for visual understanding. Recent publications (2023-2025) demonstrate concentrated innovation in neural radiance fields (NeRF), category-agnostic pose estimation, and texture-aware segmentation. These works increasingly integrate foundation models with domain-specific applications in medical imaging, autonomous systems, and materials science, reflecting a strategic shift toward scalable vision systems. Though specific awards aren't documented in source materials, his prolific publication record and sustained industry partnerships signify substantial field impact. His research group maintains active collaboration with leading technology firms, translating academic discoveries into real-world solutions. Professor Avidan mentors graduate students in computer vision while securing competitive grants for projects at the intersection of theoretical computer vision and industrial implementation. His lab focuses on developing robust algorithms for challenging visual environments, particularly in autonomous driving and medical imaging contexts. Leading an active research group within Tel Aviv University's Electrical Engineering department, he drives innovation in neural rendering and vision-language models. The team regularly contributes to premier conferences including CVPR, ICCV, and ECCV, maintaining strong industry ties through ongoing partnerships with automotive and imaging technology companies.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Cem Eteke is a doctoral candidate at the Chair of Media Technology within the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM). His research focuses on semantic image and video synthesis, with an emphasis on explainable generative models, diffusion models, and their applications to semantic communication systems. Education: B.Sc. in Computer Engineering and Electrical & Electronics Engineering (2017), M.Sc. in same field (2019) from Koc University, Istanbul. Professional Experience: Former Data Scientist and AI Engineer, with brief research on high-dimensional non-convex optimization algorithms. Research Trends: His recent publications (2022-2025) highlight advancements in real-time semantic communication, diffusion models for video synthesis, and neural rendering techniques for indoor scene segmentation. Key themes include lossy coding strategies, spatially adaptive conditioning, and temporally consistent generative modeling. Projects: Involved in research initiatives like the Centre for Tactile Internet with Human-in-the-Loop (CeTI) , 5G Testbed Bayern , and KMU-Innovativ: KIMaps , focusing on haptic communication, indoor navigation, and semantic scene understanding.

Frank Aurzadaمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Persistence Probabilities
• +۵ مورد دیگر

Prof. Dr. Frank Aurzada is a Professor of Stochastics at the Department of Mathematics, Darmstadt University of Technology (Technische Universität Darmstadt). He serves as Vice Dean and leads the Stochastics Research Group (Arbeitsgruppe Stochastik). His office is located at Schlossgartenstraße 7, 64289 Darmstadt, Germany, in room S2|15 341. Professor Aurzada's research focuses on probability theory and stochastic processes, with particular expertise in persistence probabilities, fractional Brownian motion, Lévy processes, and Brownian motion. His work often examines first passage problems, asymptotic analysis, and path properties of stochastic processes. He has made significant contributions to understanding the behavior of processes under various constraints and conditions, including conditioned Brownian motion and persistence exponents in diverse settings. His recent publications demonstrate a consistent focus on theoretical aspects of stochastic processes with applications spanning from communication networks to interacting particle systems. The research trends show increasing sophistication in handling complex constraints on stochastic processes and developing perturbation methods for analyzing persistence phenomena. Professor Aurzada has organized numerous academic events, including multiple Spring Schools on specialized topics in probability theory dating back to 2014. His most recent and upcoming events include the Spring School on "Extrema of logarithmically correlated random fields and applications" (March 2025) and the Spring School on "Multiplicative chaos and cascades" (February 2024). For teaching, Professor Aurzada offers courses such as "Statistik I für Cognitive Science und Wirtschaftsingenieurwesen" and "Stochastische Prozesse" for the Winter 2025/2026 semester. His research group actively collaborates with institutions worldwide, including universities in Russia, France, and the United States.

• Finance
• Portfolio Management
• Risk Management
• +۳ مورد دیگر

Professor Markus Rudolf is a Full Professor and Chair Holder at WHU – Otto Beisheim School of Management, specializing in the Department of Economics with a focus on Finance. His academic career spans over two decades with significant contributions to financial theory and practice. Professor Rudolf's research interests center on Finance , with particular expertise in Portfolio Management, Risk Management, Asset Management, Corporate Finance, and Investment Analysis. His work bridges theoretical financial concepts with practical applications in the banking and investment industries. He has published extensively on topics including portfolio optimization, derivatives pricing, valuation of growth companies, and risk management frameworks. Analysis of Professor Rudolf's recent publications reveals a strong focus on practical financial applications with theoretical rigor. His work spans multiple sub-disciplines within finance, showing particular interest in portfolio theory, risk management, derivatives pricing, and valuation methodologies. The research demonstrates consistent engagement with both theoretical developments and practical challenges in financial markets, with increasing attention to specialized areas like real options, alternative investments, and regulatory frameworks. Professor Rudolf has made significant contributions to academic literature through numerous publications in prestigious finance journals and several authoritative books on finance topics. His scholarly work has helped advance understanding in multiple areas of financial theory and practice.

Christian Stummerمشاهده پروفایل

استاد

• Business Administration
• Innovation Management
• Technology Management
• +۳ مورد دیگر

Professor Christian Stummer is a Chair Holder in the Faculty of Economics and Business Administration at Bielefeld University, Germany. His academic career spans over two decades with a consistent focus on innovation and technology management. As an active faculty member, he contributes significantly to the university's research profile, particularly in the area of Economic Implications of Smart Products and Smart Systems through the Institute for Technological Innovation, Market Development and Entrepreneurship (iTIME). Position: Chair Holder in Economics and Business Administration Research Focus: Innovation and Technology Management Key Collaborators: M. Günther, E. Kiesling, W.J. Gutjahr Academic Network: Active contributor to Computational Economics research focus Professor Stummer's research interests center on business administration with a specialized focus on innovation management and technology management. His work bridges theoretical frameworks with practical applications in R&D investment planning and market launch of innovations. His research approach is characterized by an analytical-quantitative methodology that aligns with the faculty's overall research profile. Stummer has made significant contributions to the understanding of multi-criteria decision problems in innovation contexts, particularly through the development of decision support systems that help organizations navigate complex innovation management challenges. His publication record reveals a clear trajectory of research evolution from foundational work in R&D project selection in the late 1990s to sophisticated agent-based simulation approaches for innovation diffusion in recent years. The publications demonstrate a consistent focus on decision support methodologies applied to innovation management problems, with increasing sophistication in modeling approaches over time. His work frequently addresses the challenge of balancing multiple objectives in innovation management decisions, reflecting the complexity of real-world business environments. Most Innovative Paper Award: IEEE EDUCON 2010 for game-based learning in technology management education Best Applied Paper Award: Winter Simulation Conference for agent-based simulation of biofuel market diffusion Nomination: Best Paper Award at ECMS 2010 conference Professor Stummer's research has practical applications across various industry sectors, particularly in technology-intensive industries where innovation management is critical. His work on multi-channel management and disruptive technology strategy provides valuable frameworks for businesses navigating digital transformation. Through his involvement with the Bielefeld Graduate School of Economics and Management (BiGSEM), he contributes to training the next generation of researchers in quantitative economic approaches. His decision support methodologies have potential applications in both public policy contexts (particularly regarding sustainable technology adoption) and private sector innovation management.

• Technology and innovation management
• Start-up management
• Start-up financing
• +۳ مورد دیگر

Prof. Dr. Peter Witt is a Chair Holder at the University of Wuppertal within the Schumpeter School of Business and Economics , Department of Economics. His work focuses on Technology and Innovation Management , with expertise in Start-up Management , Entrepreneurial Finance , Private Equity , Family Businesses , and Corporate Governance . Position: Chair of Technology and Innovation Management Contact: Room M-14.01, Gaußstr. 20, Wuppertal, Germany His research spans Start-up Financing , Corporate Venture Capital , Family Firm Governance , and Venture Capital Networks . Recent publications highlight trends in Biotechnology Funding , Business Incubation , and Entrepreneurial Experience . Key Publications include studies on Venture Capital Contracting , Corporate Branding , Network-Based Resource Acquisition , and Family Business Governance . He has contributed to journals like Journal of Enterprising Culture , Journal of Business Economics , and Zeitschrift für Betriebswirtschaft .

• Partial Differential Equations
• Fluid Dynamics
• Semiconductor Modeling
• +۳ مورد دیگر

Prof. Dr. rer. nat. Michael Dreher is a full professor at the University of Rostock , affiliated with the Faculty of Mathematics and Natural Sciences and leading the Analysis-Differential Equations Working Group . He has held visiting professorships at TU Wien, Darmstadt University of Technology, and the University of Bonn, and previously served as a Lecturer at Heriot-Watt University Edinburgh and an Associate Professor at the University of Konstanz. Current Position : Professor at University of Rostock (since 2017) Visiting Roles : TU Wien, Darmstadt University of Technology, University of Bonn Prior Roles : Lecturer at Heriot-Watt University Edinburgh (2013–2017), Associate Professor at University of Konstanz (2011), Junior Professor for Mathematical Physics at University of Konstanz (2013–2014) His research spans partial differential equations , with a focus on fluid dynamics , quantum hydrodynamics , and microlocal analysis . He has contributed to models for charge transport in semiconductors and mixed-order elliptic systems (Douglis-Nirenberg type). His work intersects mathematical physics, applied analysis, and computational mathematics. Recent publications highlight trends in viscous quantum systems , boundary layer analysis , and generalizations of hyperbolic equations , with applications to semiconductor physics and fluid dynamics. His teaching includes courses on functional analysis , partial differential equations , and mathematical foundations , with a focus on connecting theory to practical physics problems. Scientific Awards 1991 : Silver Medal at the International Mathematical Olympiad in Sweden His educational background includes a doctorate in natural sciences from TU Bergakademie Freiberg (1999), a diploma in mathematics (minor in physics) from the University of Halle-Wittenberg (1996), and postdoctoral research at the University of Tsukuba, Japan (1999–2002).

• Business Analytics
• Reinforcement Learning
• Energy Systems
• +۵ مورد دیگر

Prof. Dr. Dirk Neumann is a faculty member at the Institute for Information Systems at the University of Freiburg, Germany. His research spans multiple interdisciplinary domains including business analytics, reinforcement learning applications, energy systems, and social policy analysis. He leads research initiatives including the Climate Action Research Lab (CARL) and Business Analytics Research group at the university. Dr. Neumann's research interests focus on the intersection of information systems, operations research, and societal challenges. His work particularly emphasizes: Application of reinforcement learning to operations research problems Energy systems analysis and smart grid optimization Social implications of technology adoption and policy Information processing of fake news and deep fakes Business analytics for social good His recent publications demonstrate a strong trend toward interdisciplinary research that combines technical methodologies with social impact assessment. The articles span fields from political science and environmental policy to operations research and cognitive science, highlighting his ability to bridge technical and social domains. A significant portion of his recent work focuses on energy systems, particularly smart grids and renewable energy integration, while maintaining strong connections to social equity considerations. Dr. Neumann is actively involved in multiple research collaborations as evidenced by his extensive publication record across diverse domains. His work often involves interdisciplinary teams combining expertise from computer science, economics, political science, and social sciences. His research group, the Climate Action Research Lab (CARL), focuses on applying analytical methods to climate-related challenges, while his Business Analytics research examines practical applications of data science in organizational contexts.