جست‌وجوی استاد و پژوهشگر

Anna Maria Oberländerمشاهده پروفایل

استادیار

• Digital Transformation
• Digital Innovation
• Information Systems
• +۷ مورد دیگر

Anna Maria Oberländer is Assistant Professor for Information Systems and Digital Transformation at the University of Bayreuth's Faculty of Law and Economics. She also serves as Deputy Academic Director of the Research Center Finance & Information Management and holds a leading position at Fraunhofer FIT's Branch Business & Information Systems Engineering, where she co-heads a research group and manages the Digital Innovation Lab as one of its co-founders. Dr. Oberländer earned her Master of Science with honors from the Elite Graduate Program Finance & Information Management at the University of Technology Munich and the University of Augsburg in 2015, including a research visit at Queensland University of Technology. She was accepted into the 16th class of the Bavarian EliteAcademy, receiving leadership training across Germany, Belgium, China, and Vietnam. Prior to academia, she worked as a strategy consultant at McKinsey & Company from 2015 to 2018, supporting clients in Advanced Industries and Financial Services with digital transformations. She completed her dissertation at the University of Bayreuth's Law and Economics Faculty in 2020. Her research focuses on understanding and designing digital transformation and innovation from established companies' perspectives. She examines digital transformation processes and patterns, the relationship between organizational digital transformation and digital ecosystems, organizational ambidexterity, resource-based digital opportunities for incumbents, and the socio-technical and economic impacts of IoT and AI technologies. Her work spans theoretical frameworks like the OCO (Orientation, Cooperation, Orchestration) Theory for understanding digital ecosystems' influence on transformation. Dr. Oberländer's recent publications reveal a strong trend toward integrated digital-sustainability research (twin transformation), AI strategy and implementation, digital ecosystem dynamics, and industry-specific digital innovation. Her work bridges theoretical frameworks with practical applications across diverse sectors including public administration, manufacturing, and smart cities. She has developed capability maturity models for twin transformation and explored semantic search adoption in SMEs. Science Award 2020 from Universitätsverein Bayreuth e.V. With extensive industry experience at Siemens, Siemens Financial Services, Allianz, and McKinsey & Company, Dr. Oberländer brings practical insights to her academic work. Her Fraunhofer FIT role connects her research to real-world applications through the Digital Innovation Lab. She has led collaborative research projects across multiple industries, including the print industry's sustainability potential with AI, dairy industry digital innovation, and public administration digitalization. Dr. Oberländer co-heads a research group at Fraunhofer FIT and manages the Digital Innovation Lab, which serves as a hub for collaborative research between academia and industry. Her work with the Research Center Finance & Information Management facilitates interdisciplinary collaboration across finance and information systems domains.

Torsten Steinhoffمشاهده پروفایل

استاد

• Writing Didactics
• Vocabulary Didactics
• Digital Communication in Education
• +۷ مورد دیگر

Torsten Steinhoff is a Professor of Didactics of the German Language at the Department of Germanic Studies, University of Siegen, Faculty of Arts and Humanities. His research and teaching focus on theoretical, methodological, and empirical aspects of language acquisition and instruction from elementary to university levels. His primary research interests include: Writing didactics (Schreibdidaktik) Vocabulary didactics (Wortschatzdidaktik) Language-specific and disciplinary learning (Sprache im Fach) Digital communication and AI in education Development of complex learning arrangements (Lernarrangements) Steinhoff investigates how digital tools like ChatGPT can be integrated into writing instruction, promoting argumentative writing through structured learning tasks. His recent work (2023–2025) analyzes human-AI collaboration in writing, proposing models such as GPT as Ghost, Partner, or Tutor. He emphasizes a post-digital didactic approach, balancing traditional literacy with digital competencies. His publications reflect a strong trend in digital transformation of writing, multilingual education, and empirical interventions in secondary classrooms. He leads research projects funded by BMBF and MKW NRW, including the "AI Writing Arrangements" project tested in 8th-grade classes. Scientific contributions and collaborations: Co-editor of research handbooks on empirical writing didactics Collaborator with scholars like Nicole Marx, Katrin Lehnen, and Joachim Grabowski Active contributor to journals such as Didaktik Deutsch , BiSS-Journal , and Waxmann publications Hosts a research team at lernarrangements.de He advises on academic language development, text procedures, and vocabulary transfer across modalities and subjects. His lab develops open educational resources (OER) for digital writing and communication, contributing to platforms like Twillo.

Amr Rizkمشاهده پروفایل

استاد

• Networking
• Communication Systems
• Network Calculus
• +۵ مورد دیگر

Professor Amr Rizk is the Director of the Networks and Communication Systems (NCS) Lab at the University of Duisburg-Essen, where he has been serving as Professor since April 2021. Previously, he was Assistant Professor at Ulm University (2019-2021) and completed his habilitation at TU Darmstadt in 2019. His academic journey includes research positions at prestigious institutions including University of Massachusetts Amherst, University of Warwick, and TU Darmstadt where he was an Athene Young Investigator. Professor Rizk's research spans multiple aspects of networking and communication systems with a particular focus on network performance analysis, stochastic modeling, and practical implementations. His work bridges theoretical foundations with real-world applications, especially in content delivery, video streaming, and network protocols. He has made significant contributions to network calculus, quality of experience optimization, and novel approaches to congestion control and caching mechanisms. His publication record demonstrates consistent high-impact contributions across top networking conferences and journals. Recent work shows a growing emphasis on programmable data planes, AI/ML applications in networking, and advanced techniques for network measurement and performance prediction. His research group at Duisburg-Essen maintains strong connections with both academic and industrial partners in the networking ecosystem. Best Paper Award at ACM MMSys Conference (2023) Distinguished TPC Member for IEEE INFOCOM (2020, 2022) Best Paper Award at ACM/USENIX Middleware Conference (2017) Athene Young Investigator Award, TU Darmstadt (2017) Professor Rizk serves as Associate Editor for Elsevier Computer Communications and has extensive experience with research funding bodies as a reviewer. His leadership extends to conference organization, including roles as PC Co-Chair for IEEE MIPR (2023) and Steering Committee member for Workshop on Network Calculus (2022). He maintains active participation in numerous top networking conferences as Technical Program Committee member, reflecting his standing within the international networking research community.

Steffen Beckerمشاهده پروفایل

استاد

• Software Engineering
• Cloud Systems
• Model-Driven Engineering
• +۷ مورد دیگر

Steffen Becker is a Professor at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology, affiliated with the Institute for Software Engineering's Software Quality and Architecture group. His work focuses on software engineering, cloud systems, model-driven engineering, and cybersecurity. He leads research in architectural modeling tools like Slingshot, GUI testing frameworks (ViMoTest), and hardware security analysis. Recent studies explore AI integration in testing, education, and automotive systems (CARISMA). Research interests include elasticity modeling, self-adaptive systems, and educational technology. His 2025 publications address issues like end-user hardware comprehension, FPGA security, and LLM-driven test generation. Notable tools developed include the Slingshot Simulator for cloud-native systems and Gropius for cross-component issue management. Becker contributes to both theoretical advancements and practical implementations in software quality, security, and cloud infrastructure. Key Areas: Software Architecture, Cyber-Physical Systems, Testing, Reverse Engineering Tool Developments: ViMoTest, Slingshot, Gropius Education Focus: Online programming pedagogy and curriculum innovation His work bridges foundational research with industry applications, addressing challenges in automotive computing, cloud elasticity, and human-centric security awareness. Recent efforts emphasize explainable hardware (XHW) and AI's role in qualitative analysis automation.

Wanja Hoferمشاهده پروفایل

پژوهشگر

• Embedded Operating Systems
• Real-Time Systems
• Aspect-Oriented Programming
• +۳ مورد دیگر

Dr. Wanja Hofer is a former research staff member at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She specialized in embedded systems, real-time operating systems, and aspect-oriented programming. Her research focused on optimizing hardware-centric systems like Sloth and CiAO, addressing challenges in interrupt handling, scheduling, and software product line variability. Her academic journey includes a PhD in 2014 titled Sloth: The Virtue and Vice of Latency Hiding in Hardware-Centric Operating Systems . She contributed to key projects such as Sloth (time-triggered RTOS) and CiAO (aspect-oriented OS family), emphasizing scalability and configurability for automotive and embedded domains. Hofer also held roles like Web chair for EuroSys 2009 and co-maintained the EuroSys Research Directory. Her teaching involved Basics of Systems Programming in C and OS-related seminars. She advised over 15 graduate students on topics ranging from MPU-based task isolation to filesystem-level variability management. Notable contributions include hardware-accelerated interrupt handling, aspect-oriented OS design, and embedded system energy optimization. Hofer currently works at Brose Fahrzeugteile, applying her expertise in embedded systems and real-time computing to automotive technologies. Her work bridges academic innovation with industrial applications, particularly in safety-critical and resource-constrained environments.

Gerald Schneiderمشاهده پروفایل

استاد

• European Union Politics
• International Political Economy
• Conflict Management
• +۶ مورد دیگر

Gerald Schneider is a Professor of International Politics at the University of Konstanz, Germany, serving as Head of the Chair of International Politics since 1997. He holds a PhD from the University of Zürich (1991) and has held academic positions at institutions such as the University of Michigan, University of Stuttgart, and visiting roles at Sciences Po Paris and Harvard University. His research focuses on European Union decision-making, armed conflict causes/consequences, international political economy, and administrative inequality. Schneider has supervised over 30 doctoral students, many of whom pursue academic careers globally. He has led editorial roles for journals like European Union Politics and served as President of the European Political Science Association (2013–2015). His work bridges theoretical rigor with empirical analysis, emphasizing bargaining processes in political decisions. Education: PhD in Political Science, University of Zürich (1991) Key Roles: Executive Editor of European Union Politics , former Program Chair of the International Studies Association (ISA) Research Themes: EU policy dynamics, sanctions efficacy, migration/asylum policies, conflict forecasting His contributions include over 240 publications and datasets like KOSVED and EUSANCT. Schneider advocates for evidence-based policymaking, particularly in asylum systems, and co-developed the ViEWS early-warning system for political violence.

• Visible Light Communication
• Optical Wireless Communication
• Mobile Ad Hoc Networks
• +۳ مورد دیگر

Thomas D. C. Little is a Professor at Boston University, USA, specializing in Visible Light Communication (VLC), Optical Wireless Communication, and Mobile Ad Hoc Networks. His research focuses on hybrid RF/VLC systems, interference mitigation, and dynamic network optimization under illumination constraints. Recent work includes 3D localization via zone-based positioning Dynamic FOV receiver optimization Multi-tier transmission for 5G Li-Fi Security-aware OFDM modulation Research interests center on integrating optical wireless with traditional RF networks, developing energy-efficient communication protocols, and creating positioning systems for smart spaces. Publications analyze spectral efficiency, channel modeling, and coexistence strategies in dense optical environments. Collaborations span institutions in the USA and Germany, with applications in Industry 4.0 and coastal monitoring systems. His team has contributed to ns-3 simulator extensions for VLC, beam control in FSO systems, and interference analysis in optical networks. Current projects address reconciling SNR models and optimizing handover parameters via Q-learning for heterogeneous deployments.

• Intelligent Transportation Systems
• Connected and Autonomous Vehicles
• Vehicular Networks
• +۶ مورد دیگر

Daxin Tian is a prominent professor at Beihang University's School of Transportation Science and Engineering, specializing in intelligent transportation systems and vehicular networks. With over 170 publications spanning from 2006 to 2025, his research has significantly contributed to the advancement of connected and autonomous vehicle technologies. His work appears consistently in top-tier IEEE journals including IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, and IEEE Internet of Things Journal, establishing him as a leading authority in the field. Professor Tian's research interests encompass several critical areas in modern transportation technology: Connected and Autonomous Vehicle Systems Vehicular Networking and Communication Protocols Vehicle Platooning and Cooperative Driving Algorithms Edge Computing Applications for Transportation Computer Vision for Autonomous Driving Perception Traffic Flow Optimization and Prediction Models Resource Allocation in Vehicular Networks His recent publications demonstrate an increasing sophistication in addressing complex multi-vehicle scenarios while maintaining practical considerations like communication reliability, energy efficiency, and safety constraints. The research trajectory shows a clear evolution from foundational networking and control problems toward more integrated AI-driven solutions that combine computer vision, natural language processing, and advanced control theory for next-generation transportation systems. Professor Tian maintains extensive international collaborations, particularly with researchers at Canadian institutions including Victor C. M. Leung's group, while leading a substantial research team at Beihang University. His work frequently bridges theoretical advances with practical transportation challenges, resulting in numerous high-impact publications that address real-world implementation barriers in intelligent transportation systems.

• Human Resource Management
• Organizational Behavior
• Diversity Management
• +۶ مورد دیگر

Gaye Özçelik is a Professor of Management and Business Psychology at the Karlsruhe University of Arts and Design (Karlshochschule) since September 2022. She serves as Program Director for the International Business (B.A.) program and acts as the Equal Opportunities Officer, reflecting her commitment to diversity and inclusion. Academic Leadership: Program Director, International Business (B.A.) Committee Roles: Equal Opportunities Officer Research Interests: Her work focuses on human resource management (HRM) congruence, diversity management, organizational justice, and the integration of refugee populations. She leads international research projects on cross-cultural work design, employee well-being, and mental health resilience. Education: PhD in Management Studies, Işık University, Istanbul Master of Business Administration, Işık University, Istanbul Diploma in Business Administration, University of California, Berkeley BSc in Psychology, Boğaziçi University, Istanbul Scientific Contributions: Active in international research networks (EURAM, Academy of Management), her publications span topics like servant leadership, psychological contracts, and cross-cultural HRM systems. Key projects include studies on inclusive environments for vulnerable groups and global mobility dynamics. Best Paper Award, 7th International Conference on Business Administration (2018) EURAM 2019 Research Grant Teaching Expertise: Master's courses in Strategic Management, Organizational Behavior, and Diversity Management at Karlshochschule.

Lars Schweizerمشاهده پروفایل

استاد

• Mergers & Acquisitions
• Corporate Development
• Organizational Change
• +۵ مورد دیگر

Prof. Dr. Lars Schweizer is a Professor of Strategic Management at Goethe University Frankfurt since 2007. His research focuses on Mergers & Acquisitions, Corporate Development, Organizational Change, Leadership, and Human Resource Management, with applications in pharmaceutical, biotechnology, and telecommunications industries. He served as Dean and Managing Director of Goethe Business School (2008-2013) and currently leads the Master of Digital Transformation Management and Master of Pharma Business Management programs. Holding a doctoral degree and habilitation from the University of Bamberg, Schweizer’s work has been published in top journals like Academy of Management Journal and Strategic Management Journal , while also contributing to encyclopedic entries in organizational sociology and sustainable management. His research explores cross-border M&A dynamics, knowledge transfer, and strategic capabilities in innovation-driven sectors.

• English Language Teaching
• Bilingual Education
• Content and Language Integrated Learning (CLIL)
• +۶ مورد دیگر

Prof. Dr. Britta Viebrock is a Full Professor of English Language Teaching (Didaktik der englischen Sprache und Literatur) at Goethe University Frankfurt since 2012. Her work bridges pedagogy, multilingualism, and digital innovation, with a focus on ethical research practices and teacher professional development. Key contributions to Content and Language Integrated Learning (CLIL) and transcultural competence. Editorial roles in journals like Fremdsprachen Lehren und Lernen and Language Education and Multilingualism . Research Interests: She explores the intersection of digital media, film literacy, and language education, advocating for critical engagement with multilingual research. Her work on series_serial literacy and ethical frameworks in teacher training highlights her interdisciplinary approach. Recent Trends: Her 2024 publications emphasize mental health discourse and digital sovereignty in EFL classrooms, while 2022-2021 studies analyze video-based feedback, CLIL sustainability, and ethical standards in multilingual research. Scientific Awards: Preis für die beste Promotionsbetreuung (2018) Active roles in editorial boards and review colleges. Advising & Grants: Mentorship in programs like ment² and MenTa. Collaborated on grants for digital teacher education (e.g., ENROPE Erasmus+ projects). Supervised PhD theses on film literacy and transcultural competence.

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

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

Jens Lechtenbörgerمشاهده پروفایل

مدرس

• Open Educational Resources (OER)
• Data Warehousing
• Business Intelligence
• +۴ مورد دیگر

Dr. Jens Lechtenbörger is a Faculty member and Lecturer at the Chair of Machine Learning and Data Engineering at the University of Münster's School of Business and Economics. He holds a Doctoral degree (2001) and a diploma in Computer Science (1997) from the University of Münster and Oldenburg, respectively. His roles include serving as Akademischer Oberrat since 2006, Acting Professor (2016), and Fellow for innovation in digital university teaching (2016–2017). He leads projects like Tutor.AI and OER infrastructure development, focusing on Open Educational Resources (OER), data warehousing, and educational technology. Research interests span OER creation, data integration, business intelligence, and machine learning applications in education. He has published extensively on data warehouse design, database systems, and educational technologies. Notable awards include the Best Evolutionary & Swarm Computation Paper Award (2019) and the Dissertation Prize 2003. Teaching responsibilities include courses on data structures, operating systems, and management information systems. He supervises theses on topics like AI-driven learning systems, data privacy, and business logic vulnerabilities. Active in academic service, he chairs committees on digital teaching and curriculum reform at the University of Münster.

Barbara Mikusمشاهده پروفایل

استاد

• Production Management
• Supply Chain Management
• Risk Management
• +۵ مورد دیگر

Prof. Dr. Barbara Mikus has served as Professor of Business Administration, especially Industrial Management, at the Faculty of Business Administration and Industrial Engineering (FWW) of Leipzig University of Applied Sciences (HTWK Leipzig) since 2004. She held leadership roles including Dean of Studies (2007–2020) , Dean of the Faculty of Economics (2012–2015) , and Vice Rector for Education (2019–2024) . Currently, she chairs the WW and WING Audit Committees and serves on the University Council of the Cooperative State University Saxony (2025–2030) . Studied Business Administration at Georg-August University of Göttingen (1989–1994) Doctorate in Economics (1997), Habilitation (2003) at University of Göttingen Co-editor of Journal for Planning & Corporate Management (ZP) (1995–2004) Her research focuses on production management , supply chain risk , strategic logistics , and sustainable manufacturing . Recent work examines human-robot collaboration (2020) and resource-based location planning (2002). Publications address decision models in risk management (1998), KPI systems (2010), and make-or-buy strategies (2010). Key article trends include sustainability in manufacturing (2020), supply chain risk frameworks (2015), human-machine interaction (2015), and economic evaluation of logistics centers (2011). Her 1998 Principal-Agent Theory analysis remains influential in organizational economics. She contributes to academic governance as Scientific Advisory Board member for Der Betriebswirt journal (since 2007) and Faculty Council member (current). Her career spans editorial roles at Springer-Verlag (1995–2004), research at the Institute for Business Production and Investment Research (1994–2004), and leadership in multiple national commissions.

Ralf Engbertمشاهده پروفایل

استاد

• Dynamical Systems Approach to Cognition
• Attention and Eye Movements
• Biological and Mathematical Psychology
• +۳ مورد دیگر

Ralf Engbert is a Professor of Experimental and Biological Psychology at the University of Potsdam's Faculty of Human Sciences, where he leads research in eye movement control, attention, and dynamical modeling of cognitive processes. He serves as a member of the Executive Committee of the Research Focus 'Cognitive Sciences' at the university, demonstrating his leadership role in interdisciplinary research. His work bridges psychology, neuroscience, and mathematical modeling to understand fundamental cognitive mechanisms through rigorous empirical and computational approaches. Engbert received his Dr. rer. nat. in 1998 from the Department of Physics at the University of Potsdam and completed his Dipl.-Physiker in 1994 at RWTH Aachen University. His physics background has profoundly shaped his research methodology, emphasizing quantitative and mathematical approaches to psychological phenomena. This interdisciplinary foundation enables him to develop sophisticated computational models that capture the dynamic nature of cognitive processes. Professor Engbert's research program centers on the dynamical systems approach to cognition, with particular emphasis on attention and eye movements. His work integrates biological and mathematical psychology to create computational models explaining visual information processing during reading and scene viewing. Key contributions include advancing understanding of microsaccades, peripheral vision in scene perception, and Bayesian approaches to modeling eye movement control. His research frequently involves cross-disciplinary collaborations with mathematicians, computer scientists, and linguists, reflecting the integrative nature of modern cognitive science. Analysis of his recent publications reveals a clear progression toward more sophisticated dynamical modeling of eye movements, with increasing incorporation of Bayesian statistical methods. His work spans multiple domains including reading research, scene perception, and infant cognition, with a notable trend toward integrating computational modeling with empirical eye-tracking data to develop comprehensive theories of cognitive processing. This evolution reflects both methodological advances and expanding theoretical scope in his research program. Project B03 of CRC 1294: Parameter inference and model comparison in dynamical cognitive models (with Prof. Sebastian Reich) Project B05 of CRC 1294: Attention selection and recognition in scene viewing (with Prof. Tobias Scheffer) Project B03 of CRC 1287: Modeling the interaction between eye-movement control and parsing processes (with Prof. Shravan Vasishth) Mobile eye tracking: Generalizability and limitations of the static scene viewing paradigm (Lead PI: Dr. Hans A. Trukenbrod) Professor Engbert maintains an active research group within the Department of Experimental and Biological Psychology, contributing to the Potsdam Eye-Movement Corpus and other shared research resources. His laboratory combines experimental eye-tracking facilities with computational modeling expertise, supporting a pipeline from data collection to theoretical development. The group's work has significant implications for understanding fundamental cognitive mechanisms and developing applications in human-computer interaction, educational technology, and clinical assessment.