جست‌وجوی استاد و پژوهشگر

• Control Systems
• Traffic Engineering
• Image Processing
• +۴ مورد دیگر

Liguo Zhang is a prominent academic specializing in control systems, traffic engineering, and machine learning. His research focuses on advanced control strategies for traffic flow, autonomous systems, and image processing. He has contributed significantly to the development of observer designs for complex systems, adaptive control methodologies, and cyber-physical systems. His work bridges theoretical control frameworks with practical applications in transportation, robotics, and computer vision. Key areas include stabilization of traffic patterns, decision-making in autonomous vehicles, and vulnerability detection in smart contracts. Zhang's research also spans digital twin technologies for railway systems, diffusion models for font generation, and robust Bayesian neural networks. His collaborative efforts with institutions and co-authors highlight interdisciplinary innovation in both foundational and applied domains.

• Risk Management
• Occupational Health and Safety
• Safety Culture
• +۶ مورد دیگر

Marina Järvis is an Assistant Professor at the Institute of Management , Faculty of Economics and Business Administration at Tallinn University of Technology (TalTech). She holds a Doctorate in Business Administration (2013) and has held academic roles since 2004, including Associate Professor (2014–2023) and Senior Lecturer (2019–2020). Her research focuses on occupational health and safety, risk management, AI-driven work practices, and sustainable organizational development. Education: PhD in Business Administration, TalTech, 2013 MPhil in Occupational Health Science, University of Bergen, Norway, 2001 Bachelor's in Food Engineering, TalTech, 1993–1998 Research Interests: She explores digital transformation's impact on workplaces, psychosocial risks, sustainable leadership, and safety culture. Key areas include AI in worker management, ergonomic practices, and safety in industries like healthcare and maritime logistics. Grants & Projects: Leading EU-funded initiatives on AI in work management and sustainable port operations (2023–2028) Contributed to EU-OSHA projects on chemical risk mitigation and safety culture (2015–present) Coordinated studies on workplace bullying and virtual reality applications in therapy Awards: 2022 Teacher of the Year at TalTech 2018 Most Highly Rated Educator Advising: Supervised over 20 Master's and PhD theses, focusing on topics like AI in HR, firefighter well-being, and safety in SMEs. Collaborates with organizations like the Estonian Rescue Board and EU agencies. Labs/Teams: Leads TalTech’s Risk Management and Digital Transformation research group. Active in international networks like the European Agency for Safety and Health at Work (EU-OSHA).

Dina Barbianمشاهده پروفایل

پژوهشگر

• Sustainable Development
• Information Systems
• Forecasting Models
• +۴ مورد دیگر

Dina Barbian is a Researcher at the Chair of Information Systems I, Innovation and Value Creation under Prof. Dr. Möslein at the Friedrich-Alexander University Erlangen-Nuremberg, Germany. With over two decades of experience since 1998, her work spans information systems , sustainable development , and grand challenges . Education : Master's in Industrial Engineering and Management (Plastics Technology) from University of Paderborn; Doctorate in Environmental Economics from University of Kaiserslautern (2000). Research Focus : Sustainable Development, Forecasting Models, Public Accounts for Citizens, Grand Challenges in IS, and Macroeconomics. Her publications analyze Industry 4.0 and its sustainability implications, cyber-physical systems , waste management , and systemic risks in global networks. She has lectured as a Visiting Professor at Aarhus Summer University (2011–2013) and conducted workshops at the University of Sofia (2014).

• Data Mining
• Database Systems
• Temporal Databases
• +۴ مورد دیگر

John F. Roddick is a Professor affiliated with Flinders University in South Australia. His research focuses on data mining, database systems, and temporal databases, with significant contributions to association rule mining, schema evolution, and privacy-preserving techniques. He has collaborated extensively with researchers like Shu-Chuan Chu and Jeng-Shyang Pan, producing over 138 publications across journals and conferences. Key contributions include work on schema versioning, temporal vacuuming in databases, and algorithms for wireless sensor networks. His research extends to image processing, biometrics, and swarm intelligence, with notable applications in traffic prediction and secure communication systems. He has edited conference proceedings and contributed to encyclopedic entries on database systems and data warehousing. Roddick's work often bridges theoretical foundations with practical applications, emphasizing interdisciplinary approaches to data management challenges. His publications span venues such as IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, and the Journal of Network and Intelligence.

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

Doris Aschenbrenner is a researcher specializing in human-robot interaction and augmented reality applications for industrial maintenance systems at Julius Maximilians University Würzburg. Her work bridges computer science, engineering, and human factors disciplines to develop practical solutions for Industry 4.0 environments. Her research focuses on Human-Robot Interaction , Augmented and Virtual Reality for industrial applications , Human-in-Command systems , and Industry 4.0 technologies . She has conducted extensive work on AR-assisted maintenance operations, digital twins for production environments, and human factors considerations in collaborative robotics systems. Her research demonstrates how immersive technologies can enhance manufacturing processes while maintaining appropriate human oversight and control. Her publication record shows significant contributions to conferences like ISMAR, VR, and Frontiers in Robotics and AI, with a consistent output from 2013 through 2024. Her recent work has focused on regulatory aspects of AI implementation in manufacturing, particularly regarding the EU AI Act, and developing platforms for digital remote maintenance services. Her research has practical implications for manufacturing industries seeking to implement advanced human-machine collaboration systems while addressing regulatory requirements and human factors considerations.

• Human-Computer Interaction
• Virtual Reality
• Cinematic Virtual Reality
• +۷ مورد دیگر

Heinrich Hußmann is a Professor at Ludwig Maximilian University of Munich with an extensive research career spanning from 1985 to present. His work primarily focuses on Human-Computer Interaction, with significant contributions to Virtual Reality, Tangible User Interfaces, and intelligent systems. Over his career, he has published nearly 250 papers in top-tier conferences and journals. His research interests center around understanding and improving human interaction with emerging technologies. Key focus areas include cinematic virtual reality experiences, tangible interfaces for education and collaboration, privacy in mobile contexts, and user understanding of intelligent systems. His work often bridges theoretical HCI principles with practical applications that address real-world user needs. Analysis of his recent publications (2020-2023) reveals a strong emphasis on tangible interaction for educational contexts, particularly for children's learning. He has also made significant contributions to understanding social aspects of cinematic virtual reality and developing frameworks for user understanding of AI systems. His work consistently demonstrates a user-centered approach that considers psychological, social, and technical dimensions of interaction. Professor Hußmann has mentored numerous students who have become active researchers in the HCI field, including Sarah Theres Völkel, Malin Eiband, and Daniel Buschek, among others. His collaborative network spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern HCI research. His research has practical implications for the design of more intuitive, privacy-respecting, and educationally effective interactive systems. Current projects suggest continued exploration of how physical and digital elements can be integrated to create meaningful user experiences that support learning, collaboration, and mindful technology use.

Sebastian Faustمشاهده پروفایل

استاد

• Cryptography
• Applied Cryptography
• Side-Channel Attacks
• +۵ مورد دیگر

Professor Sebastian Faust is a faculty member in the Department of Computer Science at Technical University of Darmstadt, where he heads the Applied Cryptography department. He has been at TU Darmstadt since 2017, holding a full professorship. His research focuses on applied cryptography with applications in blockchain security, side-channel resistance, and secure multi-party computation. Professor Faust's educational background includes: Doctorate from KU Leuven, Belgium (2010) Postdoctoral fellowship at Aarhus University, Denmark Marie Curie IEF scholarship at EPFL, Switzerland Assistant professor position at Ruhr University Bochum Professor Faust's research interests span multiple areas of cryptography and security. He specializes in developing practical cryptographic solutions that are resilient against real-world attacks, particularly side-channel attacks and implementation-level vulnerabilities. His work bridges theoretical cryptography with practical implementation concerns, focusing on making cryptographic systems secure against both passive observation and active fault injection. He has made significant contributions to masking schemes, threshold cryptography, and blockchain security protocols. His research often addresses the gap between theoretical security guarantees and practical implementation challenges. Analysis of Professor Faust's recent publications (2023-2025) reveals a strong focus on practical cryptographic applications, particularly in blockchain and cryptocurrency security. His work addresses critical challenges like MEV (Miner Extractable Value) prevention, secure wallet implementations, and threshold cryptography for decentralized systems. He continues to advance fundamental cryptographic techniques like secret sharing and masking schemes, with a particular emphasis on making these techniques practical for real-world implementation. His research demonstrates a consistent trajectory from theoretical foundations to practical applications. Professor Faust has received numerous prestigious awards: Copernicus Award (2020) 2nd place with Perun in the category scientists at the TU Ideas Competition (2019) DFG Emmy Noether Programme for project "Cryptography beyond the black-box model" (2015) Best paper award at Eurocrypt 2014 for "Unifying leakage models: from probing attacks to noisy leakage" (2014) Marie Curie Fellowship (2013) Microsoft Research PhD Scholarship (2007) Professor Faust leads an active research group focusing on applied cryptography. His research has been supported by prestigious grants including the DFG Emmy Noether Programme, which provides exceptional early-career researchers with the opportunity to qualify for professorship by leading an independent junior research group. His work on the Shutter Network represents a significant practical application of his research in threshold cryptography for real-world blockchain systems. He has advised numerous PhD and Master's students who have gone on to contribute to both academia and industry. Professor Faust heads the Applied Cryptography research group at TU Darmstadt. This group focuses on bridging the gap between theoretical cryptography and practical implementation security. Their work encompasses side-channel resistance, secure multi-party computation, blockchain security, and cryptographic protocol design. The group maintains strong collaborations with both academic institutions and industry partners to ensure their research addresses real-world security challenges.

Hannes Straßمشاهده پروفایل

پژوهشگر

• Knowledge Representation
• Non-monotonic Reasoning
• Computational Logic
• +۲ مورد دیگر

Hannes Straß is a Research Associate in the Computational Logic Group at Technische Universität Dresden's Faculty of Computer Science. He holds a Dr. rer. nat. (2012) and habilitation (2017) from Leipzig University, with research focusing on logic-based knowledge representation and non-monotonic reasoning. His work develops formal frameworks for abstract argumentation, standpoint-enhanced description logics, and tractable multiperspective reasoning systems for ontology management. Recent advances include automated reasoning support for Standpoint-OWL 2 and computational methods for managing ontological diversity. Publications demonstrate innovations in characterization logics, standpoint modalities, and decomposition methods for abstract dialectical frameworks, contributing to scalable knowledge representation. He teaches courses including Theoretische Informatik und Logik and Foundations of Knowledge Representation, while leading research in the KIMEDS and M/EDGE projects on AI-assisted medical software certification.

Leif Bonordenمشاهده پروفایل

پژوهشگر

• Interfaces in Modular Software Systems
• API Evolution and Deprecation
• API Specification and Documentation
• +۳ مورد دیگر

Leif Bonorden is a Research Associate and Doctoral Student at the Department of Informatics, Faculty of Mathematics, Computer Science and Natural Sciences, University of Hamburg. He works within the Software Engineering and Construction Methods research group led by Professors Matthias Riebisch and André van Hoorn. His academic background includes a B.Sc. and M.Sc. in Mathematics from Technische Universität Berlin (2010-2018), with thesis work in Probability Theory and Functional Analysis. Since 2019, he has been pursuing doctoral research at the University of Hamburg while also studying for an M.A. in Higher Education. 2010-2018: Student, B.Sc. and M.Sc. Mathematics, Technische Universität Berlin 2012-2015: Student Teaching Assistant, Software Engineering group, TU Berlin 2015-2017: Assistant Researcher, FZI Forschungszentrum Informatik 2019-present: Research Associate & Doctoral Student, University of Hamburg 2020-present: M.A. Higher Education student, University of Hamburg Bonorden's research centers on API evolution and deprecation processes, with particular focus on how deprecated web APIs can be detected through tracing techniques. His work bridges theoretical software engineering with practical applications in API design and documentation. He has developed expertise in systematic mapping studies of API deprecation practices and their impact on software maintenance. His publication record demonstrates consistent focus on API-related research, with multiple systematic studies and empirical analyses. He has also contributed significantly to software reengineering knowledge through the SREBOK initiative and explored innovative educational approaches for teaching software engineering concepts through research-based learning. Active member of Software Engineering and Construction Methods research group Contributor to German Informatics Society's software reengineering special interest group Member of ACM, GI (Gesellschaft für Informatik), and DMV professional organizations Bonorden serves on multiple university committees including the Committee for Teaching and Studies, Building Committee, Faculty Council, and various examination boards for computer science programs. His teaching portfolio includes Software Design, Introduction to Software Engineering, and Bachelor Seminars in Software Engineering at both University of Hamburg and TU Berlin.

• Production Management
• Supply Chain Management
• Logistics
• +۷ مورد دیگر

Stephan Zelewski is a full Professor at the Faculty of Business and Economics of the University of Duisburg-Essen since 1998 and head of the Institute for Production and Industrial Information Management. He studied business administration and economics at the Universities of Münster and Cologne (1977-1981), earning two diplomas with distinction. Key Research Areas : Production Management, Logistics, Industrial Information Systems, Semantic Knowledge Management, AI/Operations Research applications in business, and Game Theory-based fair distribution models. Academic Leadership : Dean of Studies (1993-1996), founder of the Ruhr Campus Academy (2001-2002), and chair of multiple research projects including KI-LiveS (AI brainware development) and OrGoLo (Semantic Knowledge Management in logistics). Recent Articles focus on AI-based knowledge reuse systems, e-mobility sustainability analysis, and semantic modeling tools. His work integrates Artificial Intelligence with Operations Research and Game Theory across logistics and production domains. Scientific Recognition : Multiple scholarships (Konrad Adenauer, Hoechst, Fritz Honsel Foundations) Cologne University Prize (1992) Leadership in academic associations (VHB, Wissenschaftliche Kommission Wissenschaftstheorie)

Shweta Suranمشاهده پروفایل

پژوهشگر ارشد

• Collective Intelligence
• Collective Behaviour
• Citizen Science
• +۱۰ مورد دیگر

Shweta Suran is a Postdoctoral Fellow at the Max Planck Institute for Human Development (Berlin, Germany) with affiliations as an External Researcher at Tallinn University of Technology (School of Information Technologies, Department of Software Science) and IT University of Copenhagen (Collective Intelligence Research Group). She previously held roles at TalTech, The Open University (UK), and Krishna Engineering College. Doctor of Philosophy (2022) in Computer Science, Tallinn University of Technology Research Master's Degree (2014) in Knowledge Engineering, SRM Institute of Science and Technology Her research focuses on Collective Intelligence, Collective Behaviour, Social Network Analysis, Data Mining, and Digital Image Processing. She explores how individuals interact with online content, the impact of conversational affordances on deliberation quality, and correlations between social media preferences, media choices, and socio-economic/political factors. Her recent publications include work on a digital collaborative platform for the silver economy (2023), frameworks for collective intelligence (2020), pathfinding in medical imaging (2014), and AI applications in spatial data infrastructure (2019-2021). She co-supervised Sijo Arakkal Peious (2019 Master's thesis). Marie Skłodowska-Curie Postdoctoral Fellowship (2024) Seal of Excellence from European Commission (2023) SAP Fellowship Award (2016) Gold Medal at SRM University (2014) She contributed to projects like the EU Green Deal-aligned Waterway Safety Management program (2020-2021) and cost-effective 3D spatial data infrastructure (2019-2021), with funding totaling €1,996,000. Her work bridges ICT, collective behavior, and societal challenges.

Thomas Morelمشاهده پروفایل

مدرس

• History of Mathematical Sciences
• Early Modern Period
• Surveying and Geodesy
• +۳ مورد دیگر

Thomas Morel is a Lecturer in the history and teaching of mathematics at the Higher School of Teaching and Education, University of Lille, with a focus on the Lens Mathematics Laboratory (EA 2462). He holds a PhD in the History of Science from the University of Bordeaux (2013) and a post-doctoral qualification from Technische Universität Berlin. His research centers on the social history of mathematical sciences in early modern Europe, particularly within German-speaking underground surveying (Markscheider) and the history of geodesy and instrumentation in the 18th century. PhD, University of Bordeaux (2013) PhD, Technische Universität Berlin (2015) Lecturer, University of Lille (2015–present) Visiting Researcher, Max Planck Institute for the History of Science (2013–2015) His research explores the intersection of practical mathematics, mining, and knowledge production. Recent publications analyze classical sources like Euclid in mining contexts, the evolution of subterranean geometry, and statistical methodologies from the 19th century. His current project investigates geodesy's role in early modern European science. Thomas is a board member and current president of the French Society for the History of Science and Technology and contributes to editorial boards of Centaurus and Image des mathématiques . He collaborates on initiatives like the CIRMATH working group, examining mathematics' circulation through newspapers.

• Machine Learning
• Artificial Intelligence
• Speech Processing
• +۶ مورد دیگر

Saeed Amizadeh is a prominent researcher specializing in artificial intelligence and machine learning, currently affiliated with Microsoft's research division. His work spans multiple domains of AI including speech processing, natural language understanding, computer vision, and time series analysis, with a particular focus on developing novel frameworks that bridge symbolic reasoning with neural approaches. Over the past decade, he has established himself as a significant contributor to the field through publications in top-tier conferences including ICASSP, ICLR, AAAI, KDD, and IJCAI. Dr. Amizadeh's research interests primarily center around advancing the theoretical foundations and practical applications of machine learning systems. His work on neuro-symbolic visual reasoning has contributed to understanding how to effectively disentangle visual perception from logical reasoning in AI systems. He has made significant contributions to differentiable programming, particularly in making classical machine learning pipelines fully differentiable, which enables end-to-end optimization of complex ML workflows. His research on speech enhancement using GANs represents cutting-edge work in audio processing, while his time series anomaly detection frameworks have practical applications in numerous industry settings. Analysis of his publication trends reveals a consistent trajectory from theoretical machine learning foundations toward increasingly applied research with practical industrial relevance. His early work (2010-2015) focused on fundamental algorithms and probabilistic modeling approaches, while his more recent publications (2019-2025) demonstrate a shift toward practical AI systems with direct applications in speech processing, audio separation, and enterprise machine learning. A notable theme throughout his career is the development of frameworks that enable more efficient, scalable, and interpretable AI systems. As a key contributor to Microsoft's ML.NET framework, Dr. Amizadeh has played an important role in developing tools that make machine learning more accessible to enterprise developers. His collaborative work spans academia and industry, with notable partnerships with researchers from various institutions as well as within Microsoft Research.

• Information Retrieval
• Natural Language Processing
• Social Media Analysis
• +۳ مورد دیگر

Marco Viviani is a researcher affiliated with University of Milano-Bicocca (Italy) and University of Torino (Candiolo, Italy), focusing on information retrieval , health informatics , and social media credibility . His work spans multi-dimensional relevance assessment generative AI applications misinformation detection privacy-aware systems Research highlights include ROMCIR workshops on reducing online misinformation, Web2Vec for structural content analysis, and LLM reasoning capabilities evaluation. Key collaborations with Gabriella Pasi, Rishabh Upadhyay, and Marinella Petrocchi appear across 103 publications from 2004-2025. His work integrates machine learning and knowledge graphs for healthcare applications, with recent focus on blockchain social media dynamics and privacy-utility trade-offs . He contributes to ECIR WI/IAT CLEF eHealth MDAI conferences and journals like IEEE Access and Frontiers in Artificial Intelligence .

Tilmann Stehleمشاهده پروفایل

پژوهشگر

• Software Engineering
• Cross-Platform Development
• Software Architecture
• +۴ مورد دیگر

Tilmann Stehle is a researcher at the Department of Informatics within the Faculty of Mathematics, Informatics and Natural Sciences at the University of Hamburg . He focuses on software porting, cross-platform co-evolution, and traceability in porting projects, with expertise in plugin development for Eclipse and IntelliJ IDEA. Teaches courses in Software Development, Object-Oriented Programming, Software Architecture, Agile Development, and Software Porting. Supervises Bachelor’s and Master’s theses in Software Engineering. Collaborates within the SWK research group (Software Development and Knowledge Management). His research emphasizes cross-platform development challenges and tooling solutions, particularly through practical applications in software architecture and lifecycle management.