جست‌وجوی استاد و پژوهشگر

Daniel Fürstenauمشاهده پروفایل

استاد

• Digital Transformation
• IT Infrastructures
• Digital Platforms
• +۱۲ مورد دیگر

Daniel Fürstenau is a Professor of Business Administration with a focus on IT Management and Digital Transformation at Freie Universität Berlin’s School of Business & Economics, and is affiliated with the Einstein Center Digital Future (ECDF). He also holds positions as Researcher at Charité – Universitätsmedizin Berlin and previously served as Associate Professor at IT University Copenhagen and Assistant Professor at Copenhagen Business School. He earned his doctorate from Freie Universität Berlin in 2014 and completed postdoctoral research with affiliations at UC San Diego, Copenhagen Business School, and the University of British Columbia. His academic journey is complemented by professional experience as a consultant at BOC Information Technology Consulting, where he guided digital transformation in banking and public sectors. Fürstenau’s research centers on digital transformation, IT infrastructures, and digital platforms, with a strong emphasis on healthcare applications. He investigates how digital systems influence organizational structures, innovation, and patient care, using methods such as network analysis and simulation. His work spans AI in nursing, digital therapeutics, health data governance, and low-code development. He leads interdisciplinary projects involving Charité and ECDF, focusing on digital health ecosystems and fall prevention using AI. His recent publications reflect a trend toward interdisciplinary digital health research, with a focus on AI, data platforms, governance, and sustainability. He frequently publishes in top-tier journals such as Information Systems Research , Journal of Management Information Systems , and Business & Information Systems Engineering . 2020 Best Paper Award, Academy of Management (OCIS) Best Associate Editor, International Conference on Information Systems (Healthcare track) Spokesperson, Division Digital Health, Gesellschaft für Informatik Cluster Spokesperson (since 2024) Member, Association for Information Systems (AIS) Fürstenau leads a research team of assistants based at FU Berlin and Charité, and is involved in major projects like DIPA-SCALE, CCA, and SoKIP. He is committed to socially relevant research with impact on medical care and financial systems. His leadership at ECDF underscores his role in shaping digital future research in Berlin.

• Natural Language Processing
• Explainable Artificial Intelligence
• Mechanistic Interpretability
• +۳ مورد دیگر

Simon Ostermann serves as a Senior Lecturer at Saarland University and Senior Researcher & Deputy Director at the Multilinguality and Language Technology (MLT) lab of the German Research Center for Artificial Intelligence (DFKI). He leads the Efficient and Explainable NLP (E&E) research group and contributes to major projects including lorAI (Low Resource AI), TRAILS (Trustworthy Machines), PERKS (Procedural Knowledge), DAM-S (Semantic Search), and DisAI (Disinformation Combat). His research centers on democratizing language technology through transparent, robust models—specializing in mechanistic interpretability to reverse-engineer LLM internals and enhance efficiency for low-resource languages. Key focus areas include reducing model size for constrained environments, improving cross-lingual transfer via adapters, and developing structured input techniques. His work bridges theoretical interpretability with practical applications in resource-limited settings. 2025 publications reveal concentrated efforts in low-resource adaptation (language adapters, graph-enhanced embeddings), explainable AI (counterfactual generation, conversational XAI datasets), and multilingual fact-checking systems. Notable trends include systematic neuron manipulation frameworks, rigorous evaluation of synthetic data strategies, and cross-lingual claim verification benchmarks. Ostermann advises six PhD candidates (Anikina, Oguz, Bäumel, al Ghussin, Gurgurov, Vykopal) and multiple MSc students on topics spanning RAG hallucinations, multilabel classification, and adapter interpretability. His research receives funding through DFKI-led consortia with European and international partners focusing on trustworthy, efficient AI deployment. The E&E group under his leadership drives innovation in efficient NLP through biweekly seminars, collaborative coding sessions, and partnerships with institutions like KInIT. Current initiatives prioritize green computing for language models and real-world deployment in industrial procedural knowledge systems.

• Civil Engineering
• Materials Science
• Structural Engineering
• +۳ مورد دیگر

Michael Raupach is a Professor at RWTH Aachen University holding the Chair of Building Materials Science - Building Conservation. His work focuses on concrete durability, reinforcement corrosion, and sustainable construction materials, with particular expertise in alkali-activated binders, carbon textile reinforcement, and electrochemical monitoring systems. Research Interests: Concrete durability, corrosion protection, sustainable materials, structural maintenance, BIM applications, and non-destructive testing. Recent Work: Investigates electrically heated carbon textile reinforced concrete systems, develops hybrid alkali-activated materials for realkalization, and explores chloride diffusion mechanisms in low-carbon binders. Publications: Active in journals covering concrete technology, corrosion engineering, and sustainable construction methods.

• 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.

Sergio Montenegroمشاهده پروفایل

استاد

• Aerospace Information Technology
• Dependable Computing
• Distributed Systems
• +۶ مورد دیگر

Prof. Dr.-Ing. Sergio Montenegro is a Professor of Aerospace Information Technology at Julius-Maximilians-University Würzburg, where he leads the Chair of Computer Science VIII. His academic journey includes a Bachelor's in Computer Science from Universidad del Valle de Guatemala (1978-1982), a Diploma from Technische Universität Berlin (1983-1985), and a Dr.-Ing. from TU Berlin (1989). Prior to joining academia, he held positions as a software developer (1979-1982), research coordinator at Fraunhofer Gesellschaft (1985-2007), and Head of Department at DLR (2007-2010). His research focuses on dependable distributed systems for aerospace applications, including satellite networks, real-time operating systems (RODOS), UAV swarm control, fault-tolerant architectures, and space mission software. Key projects span satellite formation flight (TET, AsteroidFinder), solar sail missions, distributed avionics (VIDANA), and medical IoT systems. Recent publications (2018) demonstrate strong emphasis on distributed spacecraft systems, UAV navigation, fault tolerance, and software engineering for space applications. Trends include miniaturized satellite technologies, decentralized control algorithms, real-time OS verification, and Java-based space systems. He leads research in distributed computing networks and UAV laboratories, supervising projects like VaMEx-LaOLA (Mars exploration) and ultra-wideband positioning systems. Though no awards are documented, he has coordinated over 100 projects including ESA and DLR missions.

Davide Di Ruscioمشاهده پروفایل

استاد

• Model Driven Engineering
• Model evolution
• Open Source Software
• +۷ مورد دیگر

Davide Di Ruscio is a Full Professor at the Department of Information Engineering Computer Science and Mathematics of the University of L'Aquila (Italy), where he leads research in Model-Driven Engineering and Software Engineering. His work spans domain-specific modeling languages, model transformations, and recommender systems applied to open source software and autonomous systems. His research interests focus on Model Driven Engineering , Model evolution , Open Source Software , and Recommender Systems , with recent work exploring LLM applications in code analysis and fairness engineering. Key application domains include service-based systems, autonomous systems, and hybrid polystore systems. Di Ruscio actively contributes to the software engineering community through leadership roles in major conferences and journals. He serves on the steering committees of ICMT, SLE, SATTOSE, MiSE, and RoSE, and is on the editorial boards of SoSyM, IEEE Software, Journal of Object Technology, and IET Software. His work has been published in over 200 papers across top-tier venues. He has contributed to numerous European and Italian research projects since 2006, applying MDE concepts to real-world systems. Current teaching includes Software Engineering for Autonomous Systems and Software Engineering for the Internet of Things, with office hours on Tuesdays and Wednesdays from 11:30-13:30 at Edificio Alan Turing, Room 208.

Paul Rozbitskiمشاهده پروفایل

پژوهشگر

• Digital Transformation
• Low-Code/No-Code Platforms
• IT Consulting
• +۳ مورد دیگر

Paul Rozbitski is a Researcher at the School of Business and Economics at Technische Hochschule Mittelhessen , focusing on digital transformation of small and medium-sized enterprises and public administration. Digitalization and digital transformation Impact of low-code/no-code platforms IT consulting and software implementation System modeling for urban development His 2025 publication on data-driven traffic management highlights his work in smart cities and mobility solutions. Paul’s research also intersects with bridging skills shortages via citizen developer platforms and requirements analysis for system configuration.

Goran Glavašمشاهده پروفایل

استاد

• Computational Semantics
• Multilingual Representation Learning
• Low-Resource NLP
• +۲ مورد دیگر

Goran Glavaš is a Professor at the University of Würzburg's Faculty of Mathematics & Computer Science, holding the Chair for Natural Language Processing (Computer Science XII) and affiliated with the Center for Artificial Intelligence and Data Science (CAIDAS). His research focuses on computational semantics, multilingual/low-resource representation learning, and democratizing language technologies through fairness and sustainability. Former Assistant Professor at University of Mannheim (2017-2021) Interim Associate Professor at LMU Munich (2021-2022) Doctorate in 2014 at University of Zagreb under Jan Šnajder Recent research trends emphasize cross-lingual learning, multilingual knowledge integration, and ethical AI frameworks. His group contributes to robust multilingual models, vision-language systems, and sustainable NLP applications in social sciences. Outstanding Paper Award at ACL 2024 (IRCoder) Outstanding Paper Award at EACL 2024 (Kardeş-NLU) Extensive publications in EMNLP, ACL, NAACL, EACL, and TACL Advises a team of researchers at the University of Würzburg's NLP Chair, including Benedikt Ebing, Gregor Geigle, and Fabian David Schmidt. Leads the WüNLP group within CAIDAS, focusing on democratizing language technologies.

Stephan Leibleمشاهده پروفایل

پژوهشگر

• Employee-driven (Digital) Innovation
• Intrapreneurship
• Employee Engagement
• +۲ مورد دیگر

Stephan Leible is a Researcher at the Department of Computer Science , University of Hamburg (MIN Faculty). Holding both M.Eng. in Business Engineering and an MBA, he focuses on employee-driven digital innovation, intrapreneurship, and leveraging generative AI for organizational transformation. Research Interests : Employee-driven Innovation, Intrapreneurship, Generative AI Governance, Design & Data Thinking, IT Innovation Management Contact : stephan.leible@uni-hamburg.de | Room 117C, Vogt-Kölln-Straße 30, Hamburg His work bridges citizen development with public sector innovation, emphasizing value co-creation, real-time analytics, and ethical AI implementation. Current studies explore: Generative AI adoption patterns and limitations Interpretable machine learning for urban mobility Participatory frameworks for smart city futures Methodologies for continuous improvement in conversational agents

• Construction Logistics
• Digital Twin Frameworks
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Stephan Kessler is a researcher at the Technical University of Munich , affiliated with the Department of Mechanical Engineering and the Chair of Conveying Technology, Material Handling, and Logistics . His work focuses on construction logistics, digital twins, and IoT integration in building processes. Contact: stephan.kessler@tum.de Key research areas: Digital Twin, BIM, DEM simulations, IoT in construction Collaborates with Prof. Johannes Fottner on construction automation projects His research emphasizes digitalization of construction processes through technologies like RFID, machine learning, and simulation tools. Recent publications address tower crane planning, co-robot integration, and bulk material handling standards. Article trends show consistent focus on construction automation (IoT, digital twins, BIM), material flow optimization (DEM simulations, screw conveyor standards), and equipment lifecycle management (telematics, RFID identification). Kessler contributes to industry-university collaborations through projects like BauFlott (fleet management systems) and TEP (Tower Crane Deployment Planner). His work bridges theoretical research with practical implementations in construction site logistics.

• Wireless Communications
• Information Theory
• UAV Networks
• +۳ مورد دیگر

Dr. Yulin Hu serves as a Visiting Professor at RWTH Aachen University, holding the Chair of Information Theory and Data Analytics. His research program bridges theoretical foundations with practical implementations in next-generation wireless systems, with particular emphasis on UAV-aided networks and information-theoretic approaches to communication challenges. His core research interests span multiple interconnected domains: Wireless Communications (especially finite blocklength regimes) Information Theory applications in network design UAV trajectory optimization and network integration Wireless power transfer with nonlinear energy harvesting Edge computing and distributed learning systems Data analytics for network performance optimization Analysis of Dr. Hu's 2025 publication record reveals a concentrated research thrust on UAV trajectory design, where he develops joint optimization frameworks addressing energy efficiency, security, and reliability constraints. His work consistently integrates information-theoretic principles—particularly finite blocklength analysis—to solve practical challenges in ultra-reliable low-latency communications (URLLC) and wireless power transfer. A distinctive feature of his approach is the fusion of deep reinforcement learning with traditional optimization methods for dynamic network scenarios, including no-fly zone constraints and covert operations. While no specific scientific awards are documented in the available materials, his prolific output across top-tier venues demonstrates significant scholarly impact. Details regarding graduate student mentoring and research funding mechanisms remain unspecified in the current documentation. The Chair of Information Theory and Data Analytics, which Dr. Hu leads, functions as a specialized research unit focused on theoretical rigor and algorithmic innovation for wireless systems, though specific laboratory infrastructure or team composition details are not provided.

• Software Engineering
• Industry 4.0/IIoT Platforms
• Model-Based Software Development
• +۷ مورد دیگر

Dr. Holger Eichelberger is part of the Academic Staff in the Software Systems Engineering (SSE) department at the University of Hildesheim's Institute of Computer Science. He is affiliated with Faculty 4: Mathematics, Natural Sciences, Economics and Computer Science. His roles include membership in the Managing Committee of the Institute of Computer Science and the Committee for Student Scholarships. He has extensive experience in model-based software development, Industry 4.0 platforms, and performance engineering. Research Interests: Software Engineering for adaptive systems, Asset Administration Shells (AAS), IIoT platforms, MLOps, container orchestration, and open-source tools like EASy-Producer and SPASS-meter. His work focuses on bridging research and industrial needs, particularly in smart manufacturing and edge computing. Publications highlight contributions to IIoT platform analysis, AI integration in Industry 4.0, and performance benchmarking of communication protocols. He has organized conferences like ICPE and SSP and reviewed for top journals such as IEEE Transactions on Software Engineering. Key projects include the IIP-Ecosphere platform and contributions to standards like AAS. Collaborations involve institutions like the University of the West Indies and industry partners through funded projects like BMBF AI-Lab HAISEM. His research emphasizes reproducibility, interoperability, and scalable solutions for industrial challenges.

Andrew Tordaمشاهده پروفایل

استاد

• Protein Structure Prediction
• Computational Biology
• Bioinformatics
• +۳ مورد دیگر

Prof. Andrew Torda leads the Biomolecular Modeling research group at the University of Hamburg's Center for Bioinformatics (ZBH). He holds a professorship and focuses on computational methods in structural biology. His work includes developing force fields for protein structure prediction, substitution matrices for sequence alignment, and threading algorithms like 'wurst.' He joined the University of Hamburg in 2002 after positions at the Australian National University and ETH Zurich. Research Interests: Low-resolution force fields for protein modeling Scoring functions and protein sequence optimization Lattice models for free energy estimation Protein sequence-structure alignment methods Software Projects: 'wurst' threading code with a web server for structural predictions Optimized amino acid substitution matrices Genome simulation tools (collaboration with Jan Wigger) Teaching & Collaboration: Teaches bioinformatics modules and mentors students on software development projects. His group actively engages in computational methods for molecular design and systems biology.

Stefan Blügelمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Electronic Structure Theory
• Density Functional Theory (DFT)
• +۱۲ مورد دیگر

Stefan Blügel is a Professor of Theoretical Physics at RWTH Aachen University and a leading scientific staff member at the Peter Grünberg Institute (PGI-1), Forschungszentrum Jülich. His research focuses on the electronic properties of solids, quantum materials, spintronics, and advanced computational methods in condensed matter physics. He plays a central role in developing and applying density-functional theory (DFT) to complex magnetic and topological systems. His research interests lie at the intersection of theoretical physics and materials science, particularly in magnetism at surfaces and interfaces , spin-orbit coupling phenomena , topological spin textures such as skyrmions and Hopfions, and electronic structure methods . He has pioneered the understanding of the Dzyaloshinskii-Moriya interaction at interfaces, enabling the discovery of chiral domain walls and skyrmion lattices. His work underpins key advances in spintronics, including spin-orbit torque and terahertz generation. He is also active in emerging fields like orbitronics and cryo-spintronics, and continues to innovate in many-body theory and spectral DFT. The body of his recent publications reveals a strong focus on topological quantum materials , 2D magnetism , spin dynamics , and first-principles modeling of novel physical phenomena . His work consistently bridges fundamental theory with experimental relevance, especially in the context of next-generation memory and computing devices. Stefan Blügel has made foundational contributions to computational materials science, including the development of constraint DFT and key implementations in the FLEUR code. He has advised numerous researchers and led major collaborative projects in theoretical condensed matter physics. His group leverages high-performance computing for simulating complex quantum systems, and he is deeply involved in advancing electronic structure methodologies. He leads research at the Quantum Theory of Materials (PGI-1) division, which is part of the interdisciplinary Peter Grünberg Institute, known for its cutting-edge work in nanoelectronics, quantum materials, and spintronics. The institute fosters strong collaboration between Forschungszentrum Jülich and RWTH Aachen University, where Blügel holds a joint professorship.

• Computer Networking
• Software-Defined Networking (SDN)
• Distributed Systems
• +۳ مورد دیگر

Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.