جست‌وجوی استاد و پژوهشگر

• Computational Biology
• Systems Biology
• Medical Biochemistry
• +۳ مورد دیگر

Dr. Marcel Friedrichs is a Researcher at the Faculty of Engineering , Bielefeld University , Germany. He is affiliated with both the Algorithmic Cheminformatics Group and the Center for Biotechnology (CeBiTec) , contributing to interdisciplinary research at the intersection of computational methods and biomedical systems. Researcher in Algorithmic Cheminformatics Group Center for Biotechnology (CeBiTec) member Focus on graph-based data integration and biomedical networks Research Interests : Computational biology, systems biology, bioinformatics tool development, and medical biochemistry. His work emphasizes automated data integration, modeling of regulatory networks, and analysis of gene-disease comorbidities. Article Trends : Publications span 2018–2025, highlighting graph-based data integration, stem cell differentiation (cardiomyocytes), miRNA databases, clinical trial analysis, and pharmacological network modeling. Key keywords include Computational Biology , Medical Biochemistry , and Graph Theory . Labs & Teams : Algorithmic Cheminformatics Group (Faculty of Engineering) Center for Biotechnology (CeBiTec) Contributor to projects like BioDWH2 and GenCoNet

Christian Beecksمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Knowledge Discovery
• +۷ مورد دیگر

Univ.-Prof. Dr. Christian Beecks is a full Professor at the Faculty of Mathematics and Computer Science, FernUniversity in Hagen, and heads the Intelligent Data Analysis research group at the Fraunhofer Institute for Applied Information Technology FIT. His work bridges theoretical advancements in machine learning with practical applications across industry and biomedicine. Education: PhD in Computer Science (RWTH Aachen University, 2007-2013) Diploma in Computer Science (RWTH Aachen University, 2001-2007) As a leading figure in data science, Beecks specializes in machine learning and big data analytics , focusing on scalable algorithms for complex data spaces. His research has produced over 100 peer-reviewed publications and notable contributions in time series analysis , clustering methods , and IoT data processing . Recent work explores Gaussian process modeling for anomaly detection and spatiotemporal signal analysis. His publications demonstrate expertise in automated pattern discovery and interpretable AI systems . Key themes include: clustering validation , time series representation , industrial applications , and knowledge ontologies . Technically, his team leverages Ptolemaic geometry , skyline queries , and component mining for real-world data challenges. 2021 SIAM Best Research Paper Award 2018 Warwick Workshop Best Poster Award 2015 & 2011 Best Paper Awards Through leadership roles at FernUniversity and Fraunhofer FIT, Beecks drives initiatives in competency-based education and AI workforce empowerment . His research groups develop frameworks for edge-to-cloud AI orchestration and automated model inference , with applications in manufacturing, biomedicine, and digital humanities. Current projects focus on data pooling, zero-touch orchestration, and educational AI tools like virtual tutors.

Rosa Cordillera A. Castilloمشاهده پروفایل

استادیار

• Peace and Conflict Studies
• Social Justice
• Subjectivity
• +۷ مورد دیگر

Rosa Cordillera A. Castillo is an Assistant Professor at the Institute for Asian and African Studies (IAAW), Humboldt-Universität zu Berlin, where she has developed the Philippine studies component since 2017. A sociocultural and public anthropologist with a 2017 summa cum laude PhD from Freie Universität Berlin, her work bridges academic, artistic, and activist practices to address social justice through lenses of violence, subjectivity, memory, and decoloniality. She co-founded the Philippine Studies Series Berlin (2014) and leads the third-party funded Advancing Philippine Studies at HU Berlin project (2019-2021). Education : PhD in Anthropology (Freie Universität Berlin, 2017); MA and BA in Anthropology (University of the Philippines Diliman, 2009 and 2007). Research Interests : Peace/conflict studies, decolonial ethics, critical research praxis, and media/political intersections in Southeast Asia. Her publications focus on Bangsamoro identity, Duterte’s drug war, and decolonial memory work, with articles in Social Anthropology , Medical Anthropology , and Critical Asian Studies . She has held visiting roles at the University of Bremen and Freie Universität Berlin, and her awards include the German Research Foundation’s Excellence Initiative scholarship (2011-2015). As an inaugural member of ALON: Journal for Filipinx American and Diaspora Studies editorial board and co-creator of the Affect and Colonialism Web Lab , she fosters interdisciplinary collaborations.

Mayank Kejriwalمشاهده پروفایل

عضو هیئت علمی

• Knowledge Graphs
• Artificial Intelligence
• Neuro-symbolic AI
• +۷ مورد دیگر

Mayank Kejriwal is a Research Assistant Professor in the Department of Industrial and Systems Engineering at the University of Southern California (USC) and a Research Lead at the USC Information Sciences Institute (ISI). His work focuses on applying AI technologies for social good, particularly through knowledge graphs and neuro-symbolic AI. Education: PhD in Computer Science, University of Texas at Austin Research Interests: Dr. Kejriwal's primary research is in knowledge graphs (KG), neuro-symbolic AI, and complex systems. He explores how AI can address real-world issues such as human trafficking, crisis response, and healthcare. His work bridges theory and application, combining symbolic reasoning with modern machine learning techniques. He is also active in computational social science, network science, and AI ethics, with a strong emphasis on human-centered computing. Scientific Awards: USC Graduate Student Mentorship Award (2021) AAAS Early Career Award for Public Engagement with Science Finalist (2021) Yahoo! Faculty Research Engagement Program Recipient (2019) Copper Black Award for Creative Achievement, Mensa Foundation (2019) Key Scientific Challenge Award, Allen Institute for AI (2018) International Best Dissertation Award, Semantic Web Science Association (2017) Grants & Funding: His research has been funded by DARPA, corporate sponsors, and philanthropic organizations. He has led multiple projects under the MEMEX and other federal programs aimed at AI for social impact. Teaching & Mentorship: He teaches courses such as ISE 540: Text Analytics and ISE 599: Applied Predictive Analytics. He has received the USC Graduate Student Mentorship Award for his dedication to student development.

Jörn Heesمشاهده پروفایل

استاد

• Deep Learning
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Jörn Hees is a Professor at the German Research Center for Artificial Intelligence (DFKI), affiliated with the Smart Data & Knowledge Services department. His work bridges deep learning, linked data, and knowledge graphs, with projects like TreeSatAI (AI for environmental monitoring) and DeFuseNN (deep network fusion). Research Interests : Deep learning, machine learning, data mining, knowledge graphs, semantic web, linked data, and association modeling. Projects : TreeSatAI (remote sensing AI), MInD (machine intelligence for digital transformation), DeFuseNN (neural network fusion), MOM (multimedia opinion mining). Recent publications focus on outlier detection for tabular data (Fin-Fed-OD, RECol), super-resolution techniques, and transformer-based models. He actively develops open-source tools like the RDFLib Python library and Graph Pattern Learner for SPARQL query generation. No scientific awards are explicitly mentioned in the available data.

Uwe Remerمشاهده پروفایل

پژوهشگر ارشد

• Political participation
• Dialogue-oriented citizen participation
• Political attitudes
• +۷ مورد دیگر

Uwe Remer is a Research Fellow at the Institute of Social Sciences, Department of Computational Social Science at the University of Stuttgart. His work focuses on the intersection of political science and computational methods, with particular emphasis on citizen participation mechanisms across various political levels. Remer has established himself as a leading researcher in dialogue-oriented forms of citizen participation in Baden-Württemberg, contributing significantly to understanding how these processes function within democratic systems. Remer's research interests center on political participation, particularly examining dialogue-oriented citizen engagement, political attitudes, and voting behavior through advanced quantitative methods. He specializes in applying computational social science techniques including automated data generation from online sources, georeferenced data analysis, Text-as-Data approaches, machine learning, and time series analysis. His methodological expertise spans both R and Python programming environments, which he integrates into his teaching and research workflows to analyze complex political phenomena. Analysis of Remer's recent publications reveals a consistent focus on participatory democracy at the municipal level, particularly in Baden-Württemberg. His work demonstrates sophisticated methodological approaches combining traditional political science frameworks with computational techniques. The research shows particular interest in how different forms of participation (electoral, direct democratic, and dialogic) interact and influence each other within local governance structures. His scholarship increasingly incorporates machine learning and natural language processing methods to analyze citizen participation data at scale.

Marcela Nascimentoمشاهده پروفایل

پژوهشگر

• Ecological Modeling
• Marine Ecology
• Climate Change Impact on Ecosystems
• +۳ مورد دیگر

Marcela Nascimento is a biologist at the GEOMAR Helmholtz Centre for Ocean Research Kiel within the Marine Ecology division. She specializes in ecological modeling, particularly spatially explicit trophic models using Ecospace, with applications across diverse ecosystems from the tropics to the Arctic. MSc in Marine Zoology PhD in Marine Ecology Research Focus: Her work assesses the impacts of multiple stressors—global change, fisheries strategies—on marine ecosystems, combining historical analysis with future projections. Key contributions include modeling climate-driven distribution shifts in Arctic functional groups and developing tools for marine spatial planning. Collaborations & Projects: Active in Barents Sea studies and the MSP Challenge ecosystem simulation platform. Her research integrates climate modeling, trophic dynamics, and ecosystem management. Recent Trends: 2025 publications highlight Arctic ecosystem projections under climate change, poleward species distribution shifts, and human-environment interaction modeling.

Giancarlo Pellegrinoمشاهده پروفایل

استادیار

• Empirical and behavioral security
• Security testing
• Vulnerability analysis
• +۳ مورد دیگر

Dr. Giancarlo Pellegrino is a tenure-track faculty member at the CISPA Helmholtz Center for Information Security in St. Ingbert, Germany. Since 2017 he has held this position, while also serving as a Visiting Assistant Professor at Stanford University and previously as a Visiting Scholar (2017–2018) at the same institution within the CISPA-Stanford Center for Cybersecurity. Education PhD in Computer Science, Eurecom (Sophia-Antipolis, France) — advised by Prof. Davide Balzarotti Research Associate, Security & Trust Group, SAP Research Labs (until August 2013) Postdoctoral Researcher, Saarland University (2015–2017) Research Interests Giancarlo’s work sits at the intersection of empirical and behavioral security , web security , and vulnerability analysis . His group investigates how real-world systems fail, combining large-scale measurement studies with novel detection techniques to improve security testing. Core themes include: Security testing automation and coverage Vulnerability detection in web and mobile applications Human factors in security and privacy decision-making Adversarial machine learning for security tasks Publication Trends Between 2021 and 2025 he has published extensively in top-tier venues such as IEEE S&P, USENIX Security, NDSS, ACM CCS, CHI, and DSN. The work spans empirical analyses of CSRF defenses, large-scale studies of client-side request hijacking, innovative uses of LLMs for web-app scanning, and systematic evaluations of web-crawling algorithms for security measurements. Collectively, these papers advance both the science and tooling of modern vulnerability discovery. Scientific Awards Busy Beaver Award 2017 — conferred for the course “Cybersecurity I” Collaboration & Outreach Giancarlo maintains active collaboration networks through his joint affiliation with Stanford and CISPA, and his research group’s open-source efforts can be explored at https://trouge.net/ . While specific funded projects or advisee names are not detailed in the provided texts, his leadership of the “Scientific Group Pellegrino” indicates ongoing supervision of PhD students and postdocs in empirical security research.

Cristian-Alexandru Staicuمشاهده پروفایل

استادیار

• Systems Security
• Software and Web Security
• Software Engineering
• +۴ مورد دیگر

Cristian-Alexandru Staicu is a tenure-track faculty member at CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. He earned his PhD from the Software Lab group at TU Darmstadt under Michael Pradel's supervision, a Master's from EIT Digital (University of Trento and Twente), and a Bachelor's in Computer Engineering from Politehnica University Timișoara. Research Focus : Systems security at the intersection of software/web security, software engineering, and programming languages Contributions : Empirical studies on JavaScript ecosystems, vulnerability detection in npm/Deno, open-source tool development, and security benchmarks His research group Empirical and Behavioral Security investigates real-world threats through case studies on JavaScript bundling, Deno runtime risks, and prototype pollution vulnerabilities. Recent work includes security analysis of source code models and empirical studies of cross-economic web disparities. Key publication trends include: Security risks in Node.js and Deno ecosystems Automated testing techniques for JavaScript sandboxes and constraints Empirical methodologies applied to web inclusivity and global digital disparities Analysis of type systems and gradual typing security implications Dr. Staicu actively supervises PhD candidates and contributes to open-source security , having uncovered multiple critical vulnerabilities in popular JavaScript packages. His group develops tools like SecBench.js while maintaining strong collaborations across USENIX , IEEE , and ACM venues.

• Semantic Web
• RDF Data Management
• Knowledge Graphs
• +۵ مورد دیگر

Olivier Curé is a faculty member affiliated with Université Paris Est in France, specializing in semantic web technologies and knowledge engineering. His research focuses on distributed RDF processing, knowledge graph management, and edge computing adaptations of semantic technologies. Research Focus: Dr. Curé leads significant work in RDF stream processing systems (Strider engine), knowledge graph compression (LiteMat encoding), and privacy-preserving semantic data management. His recent work explores edge computing adaptations of knowledge graphs, real-time stream reasoning, and distributed SPARQL query processing. Key innovations include privacy frameworks for RDF anonymization and resource-efficient knowledge representation for IoT environments. Publication Trends: His 15 most recent publications (2020-2025) demonstrate a strong focus on: 1) Scalable RDF processing architectures, 2) Knowledge graph optimization for edge devices, 3) Privacy-enhancing techniques for semantic data, and 4) Distributed reasoning systems. This reflects an evolution from foundational RDF storage research toward adaptive, privacy-aware semantic systems for decentralized computing. Research Infrastructure: Dr. Curé contributes to multiple open-source projects including Strider (distributed RDF processing) and ZodiacEdge (Datalog engine), indicating leadership in semantic technology tooling development.

• Human-Computer Interaction
• User Experience
• Player Experience
• +۶ مورد دیگر

Prof. Dr. Maximilian Altmeyer serves as Professor of Web Development and Mobile Applications Engineering at Saarland University of Applied Sciences within the School of Engineering. He leads the interaction experience group and holds key administrative roles including Member of the Faculty Council, Member of the University Library Advisory Board, and Deputy Head of Production Informatics. His work bridges academic research with practical application in digital systems. Altmeyer's research centers on Human-Computer Interaction with specialized focus on User Experience (UX), Player Experience (PX), Gamification, and Persuasive Technology. His investigations span Digital Health applications, gameful design principles, and interactive system development. Recent work examines voice interfaces, music effects in gaming, and sustainable behavior change through gamified eco-feedback systems. He employs rigorous empirical methods including instrument validation, comparative studies, and large-scale literature reviews. His publication trajectory reveals consistent contributions to top venues like CHI and CHI PLAY, with growing emphasis on user typology validation (Hexad scale), multimodal feedback systems, and cross-cultural adaptation of research instruments. The work demonstrates strong methodological diversity spanning controlled experiments, content analysis of 280+ papers, and longitudinal behavior change studies. Altmeyer actively shapes the research community through leadership roles including Work In Progress Co-Chair for CHI Play 2024/2023, Associate Chair for CHI 2026-2024, and extensive reviewing for premier HCI conferences. He teaches across bachelor's and master's programs covering Web Development, Gamification, Theoretical Computer Science, and Empirical Evaluation of Interactive Systems. The interaction experience group under his direction focuses on designing, implementing, and evaluating interactive systems with particular attention to user-centered gamification techniques and persuasive health technologies. Current projects include voice experience measurement tools, office wellness interventions, and game-based learning frameworks.

Horst Wiekerمشاهده پروفایل

استاد

• Intelligent Transport Systems
• Vehicle-to-Infrastructure Communication
• 5G Technologies
• +۲ مورد دیگر

Prof. Dr.-Ing. Horst Wieker is a faculty member at Saarland University of Applied Sciences in the College of Engineering , specializing in Intelligent Transport Systems (ITS) and Communication Technology . As Head of the Traffic Telematics Research Group (FGVT), he leads projects like 5G NetMobil , CONVERGE , and simTD , focusing on vehicle-to-infrastructure communication, autonomous driving, and network architectures. Education : VDI Verlag publication of his 1992 dissertation in the series Progress Reports, Series 10: Computer Science / Communications Technology His research spans 5G technologies , ITS architecture , and automated driving , with recent work on connected mobility in social media and secure hybrid ITS communication. Publications include contributions to IEEE Transactions and MDPI Social Sciences . Key projects include developing open cloud architectures for C-ITS services, interoperability frameworks for vehicle communication, and data-centric mobility solutions like Gaia-X4ROMS. His team collaborates internationally, with affiliations at the University of Vigo and participation in the C2C-Communication Consortium. Academic Leadership : Supervises numerous theses on topics like ITS routing, vehicle communication protocols, and autonomous transport systems. Coordinates the Competence Center Future - Transportation - Society and serves on university committees, including the Senate and IT User Forum.

• Artificial Intelligence
• Digital Transformation
• Industry 4.0
• +۸ مورد دیگر

Hartwig Baumgärtel is a Professor of Engineering at Technical University of Ulm (THU), serving as Head of the Institute for Business Organization and Logistics, Dean of Studies in Faculty P, and Dean of Studies for Industrial Engineering/Logistics. He also chairs the Joint Examination Board for WL and is actively involved in the Cooperative Doctoral College 'Cognitive Computing in socio-technical Systems'. His research spans several key areas: Digital Transformation and Industry 4.0 applications in production and logistics, Semantic Web technologies and ontologies, Multiagent Systems, and Digital Twins. His work focuses specifically on skill- and service-based industrial production, intralogistics, semantic service discovery, lifecycle management of flexible production systems, Industrial Internet of Things, cyber-physical systems, and service-oriented architectures. He has developed expertise in OPC UA-based communication protocols for warehouse and production systems. Baumgärtel's recent publications (2023-2024) reveal a strong emphasis on Warehouse 5.0 concepts, skill-based production systems using OPC UA, and the integration of Digital Twins with agent systems. His work shows a clear trajectory toward creating more flexible, autonomous, and intelligent production and logistics systems through the convergence of semantic technologies, digital twins, and agent-based architectures. He leads significant research projects including EU-funded initiatives Productive4.0 (2017-2020) and SC^3 (2021-2023), plus THU's OPC UA-based infrastructure development for learning factories (2018-2025). Baumgärtel teaches courses on Digital Transformation, Cyber-physical Systems, Internet of Things, Data Mining, Enterprise Information Systems, Supply Chain Management, and Quantitative Planning Methods. He also delivers international instruction through TUM Asia Singapore's Master programs in Advanced and Digital Manufacturing. Professionally, he serves on the VDI/VDE GMA FA 3.35 Agent Systems committee and the IFAC TC 3.1 Computers for Control, Working Group Industrial Agents, demonstrating his leadership in these technical domains.

• Organic Chemistry
• Phase-Transfer Catalysis
• Occupational Safety
• +۶ مورد دیگر

Dr. Sabine Schrader serves as a Senior Academic Councillor at the Faculty of Chemistry , University of Bielefeld, with key roles in teaching, training chemical laboratory technicians, and occupational safety. She earned her chemistry degree at Bielefeld (1982–1992) and completed her doctorate on chiral phase-transfer catalysts in 1992. Education: Bielefeld University (Chemistry, 1982–1992) Academic Roles: Research Associate (since 1989), Head of Chemical Laboratory Technician Training (since 2004), Safety Officer (since 1994) Her research interests span organic phase-transfer catalysis , occupational safety , and environmentally responsible chemistry . She has pioneered innovative safety protocols in academic laboratories, including the development of a national safety video "Kann denn Liebe Sünde sein" (1999), and contributed to modular education reforms in chemistry practicals. Her publications focus on chiral catalysts, sustainable oxidation methods, and laboratory safety frameworks. Professional Contributions : Member, Bonner Runde (national university safety delegation) Co-founder of safety officer circles in chemistry departments Leader in implementing the German Hazardous Substances Ordinance Creator of digital training platforms for chemical technicians

Joachim Schlichtingمشاهده پروفایل

استاد

• Optics
• Experimental Physics
• Physics Education
• +۳ مورد دیگر

Joachim Schlichting is a Professor of Physics at the University of Münster , Germany, located at Wilhelm-Klemm-Str. 10, 48149 Münster. His work focuses on experimental physics, optics, and physics education, with a particular emphasis on everyday phenomena and their underlying physical principles. Research Interests: Schlichting's research spans a broad range of topics including optics, thermodynamics, fluid dynamics, and the physics of everyday phenomena. He is deeply involved in science communication and education, making complex physics concepts accessible through practical demonstrations and publications. His work often explores the intersection of physics with art and nature, such as the optical properties of spider webs, the physics of rainbows, and the mechanics of everyday objects. Publications and Contributions: He has authored over 200 publications in journals like Spektrum der Wissenschaft , Physics in Our Time , and European Journal of Physics . His recent articles in 2021 include explorations of magneto-hydrodynamic propulsion, the physics of spaghetti softening, and optical phenomena in windows. He has also co-authored several books and educational materials aimed at high school and university students. Collaborations and Outreach: Schlichting frequently collaborates with other physicists such as C. Ucke and W. Suhr, contributing to both experimental research and educational outreach. His work is characterized by a blend of rigorous scientific inquiry and a passion for making physics engaging and understandable to a wide audience.