جست‌وجوی استاد و پژوهشگر

Giovanni Bartolomeoمشاهده پروفایل

پژوهشگر

• Edge Computing
• Cloud Computing
• Service Orchestration
• +۴ مورد دیگر

Giovanni Bartolomeo is a Researcher and Ph.D. Candidate at the Chair of Connected Mobility within the TUM School of Computation, Information and Technology (CIT) , Department of Informatics and Mathematics , Technical University of Munich, Germany. His work focuses on edge and cloud computing , particularly service orchestration and networking solutions for heterogeneous edge infrastructures . His research explores cutting-edge advancements in: Container Orchestration (e.g., 2DFS filesystem for ML model distribution) Hybrid Virtualization techniques Edge-Cloud Integration frameworks Networking Solutions for distributed systems His publications span USENIX ATC , EdgeSys , EuroSys , and SIGCOMM venues, with notable Best Paper Award @ EdgeSys 2025 and Best Poster Award @ EuroSys 2025 . He actively contributes to open-access research and OCI-compliant systems . Scientific recognition includes: 🏆 Best Paper Award @ EdgeSys 2025 🏆 Best Poster Award @ EuroSys 2025 🎖️ Artifacts Reproduced @ Usenix ATC 2025 He supervises Master's and Bachelor's theses on topics like Federated Learning , eBPF in Edge Systems , and Multi-Admin Infrastructure . As a guest lecturer and speaker , he shares expertise at institutions like the University of Helsinki and events such as DevFest Pisa 2024 and Kubecon 2024.

David Guzmanمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Internet Decentralization
• Consensus Protocols
• +۳ مورد دیگر

David Guzman is a researcher at the Technical University of Munich (TUM) in the Department of Informatics, specifically working within the Chair of Connected Mobility (I11). His research focuses on distributed systems, internet decentralization, and consensus protocols. He teaches courses on Future Internet Protocols, Decentralization and Consolidation, and Internet Measurements. Dr. Guzman received his education in Information Technology from Technische Universität Berlin and Sorbonne Université, following an electronics engineering degree. His professional journey includes work at Huawei Research, the Information Theory Group at Freie Universität Berlin, the Ministry of Telecommunications, and the Central Bank of Ecuador where he contributed to the development of Ecuador's first Central Bank Digital Currency (Dinero Electrónico). His research interests center around the decentralization of the internet, distributed systems and consensus mechanisms, and multicast randomized protocol design. Guzman's work explores how network infrastructure can better support distributed consensus systems, with particular focus on improving communication efficiency, reducing latency, and ensuring finality in consensus processes. His research bridges theoretical networking concepts with practical implementations in blockchain and distributed ledger technologies. Analysis of Guzman's publication record reveals a strong focus on the intersection of networking infrastructure and distributed consensus systems. His recent work examines how multicast communication paradigms could improve the efficiency of permissionless distributed consensus at internet scale, addressing issues of communication cost, performance delays, and lack of finality that plague current peer-to-peer approaches. His research trajectory shows increasing specialization in network support for blockchain and distributed ledger technologies. Dr. Guzman has made significant contributions to the Internet Engineering Task Force (IETF), authoring the Internet-Draft 'Multicast Applicability for Distributed Consensus Systems' which proposes novel approaches to improving distributed consensus through network-level support. As part of the Connected Mobility research group at TUM, Guzman collaborates with Professor Jörg Ott and other researchers on advancing the state of internet protocols, particularly in the areas of decentralization and distributed systems. His work has practical implications for blockchain technologies, internet infrastructure, and the future evolution of decentralized networks.

• Child and Adolescent Psychiatry
• Media Addiction
• Substance Abuse
• +۳ مورد دیگر

Anneke Aden-Johannssen is a researcher at the Clinic and Polyclinic for Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics within the University Medical Center Hamburg-Eppendorf. Her work focuses on adolescent psychiatric disorders, particularly media addiction, substance abuse, and ADHD. Key affiliations: Faculty of Medicine , University Medical Center Hamburg-Eppendorf Core research themes: Technology-driven behavioral disorders, neurodevelopmental conditions, and preventive mental healthcare Her publications analyze the intersection of digital media, family dynamics, and psychopathology in youth, emphasizing clinical interventions and health services. Recent work includes contributions to neuroscience, neuro-immune networks, and cross-disciplinary psychosomatic research. She collaborates on projects addressing substance-related and non-substance-related addictions, with a focus on diagnosis and treatment frameworks. Her research spans clinical guidelines, empirical studies on internet dependency, and policy recommendations for adolescent care. While no direct students or awards are listed, her work contributes to understanding technology's impact on mental health and developing structured therapeutic approaches.

Anna-Lena Lamprechtمشاهده پروفایل

استاد

• Research Software Engineering
• Scientific Workflows
• FAIR Principles
• +۳ مورد دیگر

Prof. Dr. Anna-Lena Lamprecht is a Chair of Software Engineering at the University of Potsdam, Institute of Computer Science. Her work focuses on interdisciplinary research software engineering, scientific workflows, and FAIR principles for computational materials science and bioinformatics. University of Potsdam Department of Software Engineering Research Interests Lamprecht explores the intersection of domain-specific languages, automated workflow composition, and agile methodologies for scientific computing. She emphasizes reproducibility, sustainability, and semantic validation in research software, particularly through projects like Workflomics and TopoToolbox3. Publications Her recent work spans multi-dimensional software categorization, workflow modeling patterns, and FAIR adoption in GitHub repositories. She also investigates benchmarks for bioinformatics workflows and semantic constraints in geospatial service composition. Projects Current projects include VERSECLOUD, Workflomics, and TopoToolbox3. She leads initiatives in automated workflow composition and has contributed to the FAIR4RS principles. Teaching and Supervision Supervised student works Full-semester RSE courses Computational thinking education Contact anna-lena.lamprecht@uni-potsdam.de | +49 331 977-3040 | Campus Golm, Building 70, Room 1.35

Vera Blazevicمشاهده پروفایل

دانشیار

• Sustainable Development
• Digitalization
• Artificial Intelligence
• +۴ مورد دیگر

Vera Blazevic is an Associate Professor of Digital Marketing and Innovation at Radboud University Nijmegen and a Visiting Professor at RWTH Aachen University's Institute of Technology and Innovation Management. Her work bridges sustainable development and digitalization, focusing on organizational innovation within stakeholder ecosystems. Education: MSc in International Business from Maastricht University (2005), PhD from Maastricht University (2005). Current Role: Teaching 'Managing the Innovation Process' and 'Principles of Technology and Innovation Management'. Blazevic's research explores how organizations innovate through co-creation with stakeholders, addressing challenges in digital transformation and paradox management. Her recent publications emphasize AI's role in hybrid innovation, digital manufacturing systems, and stakeholder engagement. She has received multiple accolades, including the AACSB Influential Leader (2024), IPDMC Christer Karlsson Best Paper Award (2023), and Frontiers in Services Award (2023). Her work appears in top journals like Journal of Marketing and Journal of Product Innovation Management . At RWTH Aachen, Blazevic contributes to innovation management education and collaborates on projects related to Generative AI and stakeholder ecosystems. Her methodologies integrate paradox theory and hybrid intelligence to address complex organizational challenges.

• Econometric analysis of consumers and brands
• Impact of new technologies in entertainment
• Pricing strategies
• +۵ مورد دیگر

Dominik Papies is a Professor of Marketing at the School of Business and Economics , Eberhard Karls University of Tübingen, and has served as Dean of the Faculty of Economics and Social Sciences since 2024. His research focuses on econometric analysis of consumer behavior, brand dynamics, pricing strategies, and machine learning applications in marketing. He is a member of the Cluster of Excellence 'Machine Learning: New Perspectives for Science'. Leadership Roles: Dean (2024–present), Elected Senate Member (2019–2021), Head of School of Business and Economics (2016–2019) Research Interests: Consumer behavior analysis, causal inference in marketing, digital business models, and machine learning applications Past affiliations include Visiting Researcher positions at Waikato Management School (New Zealand) and Smeal College of Business (Pennsylvania State University). His publications span journals like Journal of Marketing , Marketing Science , and Management Science , with notable recognition including the IJRM Best Paper Award (2016) and listing among top 5% business administration scientists in German-speaking countries. Key Collaborations: Research on streaming services' impact (2016–2019), cross-price elasticity studies (2020), humanitarian aid fundraising analysis (2019) Editorial Roles: Member of Editorial Review Board, Journal of Marketing and Journal of Marketing Research Scientific Awards: IJRM Best Paper Award (2016), IJRM Best Paper Finalist (2017)

Linda Starkمشاهده پروفایل

پژوهشگر

• German Punctuation
• Comma Usage
• Language Acquisition
• +۶ مورد دیگر

Dr. Linda Stark is an Academic Councillor at the Chair of German Linguistics under Prof. Dr. Wolf Peter Klein at the Institute of German Philology, Faculty of Philosophy, Julius-Maximilians-University Würzburg. She has held this position since April 2020 after previously working as a research assistant at Ruhr-Universität Bochum from 2012-2015. Currently, she is pursuing her habilitation with a focus on German comma usage principles, supported by a SCIENTIA-Programm habilitation scholarship from October 2023 to February 2025. Dr. Stark's research centers on German punctuation, particularly comma usage, language acquisition through children's literature, German as a foreign language, speech act theory, and language codex research. Her work explores the historical development of punctuation rules, the tension between syntactic and intonational principles in comma placement, and the teaching of German punctuation. She has made significant contributions to understanding how punctuation rules have evolved from primarily intonational purposes to predominantly syntactic principles over centuries, while norm-deviating comma variants persist in usage. Her publication record reveals a strong focus on the historical development of German punctuation, particularly comma usage. Over the past five years, she has produced numerous scholarly works examining comma rules from multiple perspectives - historical, pedagogical, and theoretical. Her research shows a clear trajectory from examining language acquisition through picture books toward increasingly specialized studies of German punctuation, culminating in her current habilitation project on German comma placement principles. This body of work demonstrates both continuity in her interest in linguistic norms and evolution toward greater specialization in punctuation studies. SCIENTIA-Programm Habilitation Scholarship (2023-2025) Dr. Stark has been actively involved in academic service, contributing to edited volumes and monographs including "Wissenschaftliches Arbeiten in der Linguistik" (2022) and "Vorlesen und Präteritum" (2016). While specific grant information isn't detailed in the provided text, her habilitation scholarship demonstrates external funding support for her research. Her collaborative work with colleagues like Wolf Peter Klein, Miriam Langlotz, and Claudia Müller indicates strong research partnerships within and beyond her institution. She is affiliated with the Chair of German Linguistics at the Institute of German Philology, which appears to be part of the larger research ecosystem at Julius-Maximilians-University Würzburg, contributing to projects like ZweiDat (Würzburger Datenbank sprachlicher Zweifelsfälle) that investigate linguistic uncertainties in German.

Elena A. Eroshevaمشاهده پروفایل

استاد

• Statistical Methodology
• Discrete Data Analysis
• Latent Variable Models
• +۷ مورد دیگر

Elena A. Erosheva is a Professor of Statistics at the University of Washington with a joint appointment in the School of Social Work. She serves as Associate Director of the Center for Statistics and the Social Sciences (CSSS) and is an Associate Editor for the Journal of the American Statistical Association and the Annals of Applied Statistics. Education PhD in Statistics from Carnegie Mellon University (2002) Elena Erosheva is a statistician whose research focuses on the development and application of modern statistical methods for addressing complex substantive questions in the social, medical and health sciences. Her ongoing methodological research focuses on latent variable and mixed membership models, multivariate and longitudinal data analysis, and text and network analysis. Her work has important applications in understanding disability in elderly populations, criminal desistance patterns, and scientific collaboration networks. Dr. Erosheva's research bridges statistical theory with practical applications, making significant contributions to both methodology and substantive fields. Analysis of Dr. Erosheva's recent publications reveals a strong focus on mixed membership models and their applications across diverse domains. Her work spans from theoretical developments in statistical methodology (such as variational inference techniques and bootstrap methods) to applied research in health sciences (particularly aging and disability) and social sciences (including criminology and scientific collaboration patterns). A notable trend in her recent work is the application of advanced statistical techniques to understand gender dynamics in scholarly publishing and to improve peer review processes. Scientific Awards 2013 Mitchell Prize from the International Society of Bayesian Analysis First Prize from the National Institutes of Health's Peer Review Challenge Dr. Erosheva has successfully advised numerous graduate students across multiple departments including Statistics, Sociology, Health Services, and Educational Psychology. Her research has been supported by grants from the National Institute on Aging (funding her work on operational definition of disability in the National Long Term Care Survey) and NIH (funding the COAP - Cognitive Outcomes with Advanced Psychometrics project). She has collaborated extensively with researchers across disciplines, demonstrating the interdisciplinary nature of her work. Dr. Erosheva is actively involved in the Center for Statistics and the Social Sciences (CSSS) at the University of Washington, where she serves as Associate Director. She leads research projects focused on measuring gender-based homophily in scientific collaborations, modeling life course transitions, developing partial mastery cognitive diagnosis models, and identifying commensuration bias in grant review.

Dieter Hutterمشاهده پروفایل

استاد

• Security
• Formal Methods
• Change Management
• +۳ مورد دیگر

Dieter Hutter is a Professor and Vice Director of the Cyber-Physical Systems department at the German Research Center for Artificial Intelligence (DFKI), alongside serving as an Honorary Professor at the University of Bremen. His expertise lies in security , formal methods , and change management . Education: Diploma and Dr. rer. nat. in Computer Science from the University of Karlsruhe (1983, 1991) Research Interests: His work bridges security and formal methods to address challenges in change management , autonomous systems , and maritime IT ecosystems . Projects like Fast&Slow and SATiSFy highlight his focus on integrating symbolic and subsymbolic techniques for safety and security validation. Project Highlights: SecProPort: Scalable security architectures for German port workflows SaferApps: Secure integration of foreign software in enterprise systems MORES2: Refinement techniques for security requirements in workflows Leadership & Service: He has served on program committees of major conferences and as a member of the editorial board for the Journal of Applied Logics, and co-initiated the DFG Priority Programme 1496 on Reliably Secure Software Systems.

• Automation Technology
• Artificial Intelligence in Industrial Systems
• Industrial Robotics
• +۶ مورد دیگر

Prof. Dr.-Ing. Martin Ruskowski is a leading academic and researcher in automation and industrial AI. He serves as Head of the Innovative Factory Systems research department at the German Research Center for Artificial Intelligence (DFKI) and holds the Chair of Machine Tools and Control Systems at the University Kaiserslautern-Landau (RPTU) . Additionally, he chairs the board of the SmartFactory KL technology initiative. DFKI : Head of Innovative Factory Systems RPTU : Chair of Machine Tools and Control Systems SmartFactory KL : Chairman of the Board Research Interests : Ruskowski focuses on innovative control concepts for automation , artificial intelligence in industrial systems , and industrial robotics . His work bridges advanced AI with manufacturing, emphasizing resilience, safety, and human-centric integration. Project Highlights : RAASCEMAN : Resilient supply chains for adaptive manufacturing STAR : Secure human-centric AI in manufacturing PHYSICS : Hybrid space-time service continuum for FAAS ReCircE : Digital lifecycle records for circular economy MAS4AI : Multi-agent systems for modular production Contact: Martin.Ruskowski@dfki.de

• 3D Computer Vision
• Scene Understanding
• 3D Reconstruction
• +۳ مورد دیگر

Nils Morbitzer is a researcher at the Technical University of Munich (TUM), affiliated with the Chair of Computer Aided Medical Procedures under Prof. Nassir Navab. He holds a Master's degree in Informatics (2024) and dual Bachelor's degrees in Computer Science and Aerospace Computer Science from JMU Würzburg. Doctoral Candidate in 3D Computer Vision (since 2024) Software Developer at Vector Informatik (2021-2024) His research focuses on 3D Computer Vision , Scene Understanding , 3D Reconstruction , and Autonomous Driving , with applications in medical imaging and surgical robotics. His work on monocular depth estimation was published at ICCV 2023 . He contributes to teaching as a lecturer assistant in courses like Praktikum on 3D Computer Vision (IN2106, IN4313) and Recent Trends in 3D Computer Vision & Deep Learning (IN0014, IN2107, IN4826), covering topics in deep learning, medical augmented reality, and surgical robotics. He also provides professional services as a reviewer for conferences such as ICRA and 3DV . Research Trends: His publications highlight expertise in computer vision, particularly depth estimation and 3D reconstruction, with intersections in medical imaging and autonomous driving.

Gesine Stephanمشاهده پروفایل

استاد

• Labor Economics
• Personnel Economics
• Labor and Social Policy
• +۳ مورد دیگر

Prof. Dr. Gesine Stephan is Professor of Economics, particularly Empirical Microeconomics, at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) since May 2009 and heads the 'Employment Promotion and Employment' research department at the Institute for Employment Research (IAB) in Nuremberg. Her work focuses on analyzing and evaluating labor market policy instruments and programs, with particular attention to effectiveness and public perceptions of fairness. Her educational background includes: Studied Economics at the University of Hannover until 1990 Scientific Assistant at Institute for Quantitative Economic Research, University of Hannover Promoted (PhD) in 1994 Habilitation in 2000 Research stays at universities in Austin and Berkeley, USA (1996/1997) Prof. Stephan's research centers on labor and personnel economics, labor and social policy, microeconometrics, and policy evaluation. She specializes in empirical methods to examine the effectiveness of labor market policies, particularly through field and survey experiments. Her work investigates how institutional frameworks influence labor market structures, the effectiveness of placement and training measures for the unemployed, and public perceptions of justice regarding unemployment benefits and sanctions. She frequently employs innovative methodologies including factorial survey experiments, high-frequency panel data analysis, and biomarker measurements to address complex questions in labor economics. Her publication record demonstrates consistent scholarly output with a clear thematic focus on labor market policy evaluation. Recent work examines justice perceptions regarding minimum wage increases, unemployment benefit durations, and training subsidies, often with attention to demographic differences and crisis contexts like the pandemic. The research shows methodological sophistication through the use of experimental designs and diverse data sources. Prof. Stephan holds several significant academic affiliations: Fellow of the Labor and Socio-Economic Research Center (LASER) at FAU Research fellow at the Institute for the Study of Labor (IZA) Member of the Standing Field Committees Social Policy and Population Economics of the Verein für Socialpolitik Her research department at IAB addresses critical questions about labor market policy effectiveness, access to support through these instruments, and institutional influences on labor market structures. This work has direct relevance for policymakers designing effective and socially accepted labor market interventions.

Aris Filos-Ratsikasمشاهده پروفایل

مدرس

• Theoretical Computer Science
• Artificial Intelligence
• Social Choice Theory
• +۱۱ مورد دیگر

Aris Filos-Ratsikas is a Lecturer (Assistant Professor) at the University of Edinburgh, School of Informatics, and a member of the Laboratory for Foundations of Computer Science. His research integrates theoretical computer science and economics, focusing on algorithms, computational complexity, social choice, fair division, game theory, and mechanism design. Education: PhD in Computer Science, Aarhus University, Denmark (2015) – Supervisor: Peter Bro Miltersen MSc – Advisor: Ioannis Caragiannis Research Interests: His work spans social choice theory , fair division , consensus halving , necklace splitting , PPA-completeness , distortion in voting and matching , and market algorithms . He develops new techniques combining convex optimization, topology, and query complexity to solve foundational problems in economics and computation. Recent Publication Trends: Recent papers focus on distortion minimization in social choice and matching under limited information, FIXP-completeness for fair-division problems like envy-free cake cutting, and randomized voting rules that balance explainability and efficiency. His work frequently appears in NeurIPS, FOCS, EC, AAAI, IJCAI, and SODA. Awards & Service: Fellow of the Higher Education Academy Teaching Assistant of the Year, Aarhus University (2014) Outstanding/Senior PC Member awards: AAMAS 2022, IJCAI 2018, AAAI 2017, IJCAI 2016 Program (co-)Chair: SAGT 2023; Area Chair: EC 2023; Senior PC: WINE, AAMAS, AAAI Teaching & Grants: He has designed and delivered large MSc modules (Advanced Algorithmic Techniques, Programming Fundamentals) at Liverpool, and taught Algorithmic Game Theory at Oxford. His tutorials on “Total Search Problems” and “Auctions & Markets” are regularly invited to international summer schools. He holds a fellowship recognizing excellence in higher-education teaching and has produced reflective scholarship on teaching theoretical courses. Workshops & Visits: He co-organizes the UK-wide “Indoor Games” workshop series and multiple international workshops on fairness, distortion, and total search problems. Long-term visits have included Oxford (hosted by Elias Koutsoupias) and Tsinghua University (hosted by Andrew Yao).

• Communication Networks
• Time-Sensitive Networking (TSN)
• Network Technologies
• +۵ مورد دیگر

Manuel Eppler is a doctoral student and research assistant at the University of Tübingen , affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Computer Science , specifically the Chair of Communication Networks . He holds a B.Sc. in Computer Science (2020), a B.Sc. in Mathematics (2021), and an M.Sc. in Computer Science (2022), all from the University of Tübingen. Education B.Sc. in Computer Science (2016-2020) B.Sc. in Mathematics (2018-2021) M.Sc. in Computer Science (2020-2022) His research focuses on communication networks , particularly Time-Sensitive Networking (TSN) and scheduling algorithms . Key contributions include work on Integer Linear Programming (ILP) for TSN scheduling and clustering algorithms for BIER-based multicast scalability. He also explores integrating container platforms with TSN for industrial IoT applications. Recent publications highlight advancements in TAS (Time-Aware Shaper) performance optimization and container-adjacent network management. His work bridges theoretical modeling (e.g., ILP, clustering) with practical implementations in industrial networks. Eppler collaborates with Siemens AG 's Industrial Networks division, contributing to lectures on topics like network simulation , cybersecurity , and IT service management . He is associated with the Chair of Communication Networks at the University of Tübingen, which provides a hub for his research activities.

Juliane Fluckمشاهده پروفایل

استاد

• Biomedical Informatics
• Information Management
• Semantic Data Integration
• +۵ مورد دیگر

Juliane Fluck serves as Head of the Knowledge Management Program Area and Acting Deputy Scientific Director at ZB MED Information Center for Life Sciences, while also holding a W2 Professorship for Information Management at the Faculty of Agriculture, University of Bonn. She coordinates the National Research Data Infrastructure for Personal Health Data (NFDI4Health) consortium and has led this initiative since 2020. Her research focuses on optimizing the findability, accessibility, interoperability, and reusability (FAIR) of biomedical data through semantic integration and advanced terminology services. With expertise spanning text mining, data infrastructure development, and semantic annotation, she bridges computer science and life sciences to create systems that make biomedical data semantically readable for computers. Analysis of her recent publications reveals strong emphasis on synthetic health data generation, privacy protection mechanisms, FAIR data implementation across domains including agriculture (FAIRagro), and specialized terminology services for biomedical research. Her work consistently addresses challenges in health data management, with particular attention to pandemic response data (especially COVID-19) and rare disease research. Prof. Fluck actively contributes to critical advisory roles including the Advisory Board of the Center for Cancer Registry Data at the Robert Koch Institute, Scientific Advisory Board of Health.AI, and the INA expert group for Interoperability Generator for Digital Medicine. She heads the Knowledge Management program area at ZB MED and leads multiple national initiatives including NFDI4Health, demonstrating significant leadership in Germany's research data infrastructure landscape. Her work connects academic research with practical implementation in health data management systems used by researchers and clinicians.