جست‌وجوی استاد و پژوهشگر

Kerstin Schneiderمشاهده پروفایل

استاد

• Databases
• Data Engineering
• Workflow Management Systems
• +۴ مورد دیگر

Kerstin Schneider is a full-time Professor for Databases at Harz University of Applied Sciences since 2007. She operates within the Faculty of Automation and Informatics , focusing on database theory, data engineering, and AI-driven educational technology solutions. Current research emphasizes adaptive e-learning platforms (ALEA system) Interdisciplinary projects in AI Engineering (AiEng 2021-2025) Custom database applications for SMEs (TEA project) Her research interests span: Reliable workflow execution in distributed systems Multimedia information systems Semantic data recommendations Temporal XML database models Recent publications (2021–2017) highlight trends in: Academic database foundations Intelligent e-learning architectures Life science data analytics Historical data visualization Scientific Awards : 2004 Research and Innovation Award of the Rhine-Neckar Triangle Foundation She contributes to academic governance through roles in: Steering Committee for Fundamentals of Databases Examination Board AI Engineering Senate Deputy at Harz University Equal Opportunities Officer for AI Department Key collaborative projects include: APRICOTS (CORBA-based workflow systems) GEIST (Intelligent History Information Systems) Team projects with international universities Open Educational Resources (OER) development

Maria Antonia Brovelliمشاهده پروفایل

استاد

• Geomatics
• GIS
• Open Source GIS
• +۶ مورد دیگر

Maria Antonia Brovelli is a Professor of GIS at Politecnico di Milano (PoliMI) in the Department of Civil and Environmental Engineering and a member of the School of Doctoral Studies in Data Science at Roma La Sapienza University. Formerly Vice-Rector of PoliMI for the Como Campus (2011-2016), she currently leads the GEOLab (Geomatics and Earth Observation Lab) and holds influential roles including Deputy Chair of the ISPRS TC on Spatial Information Science, co-chair of the United Nations Open GIS Initiative, and Chair of the UN-GGIM Academic Network. Her research spans geomatics with evolving expertise from geodesy and radar-altimetry to GIS, webGIS, geospatial web platforms, Volunteered Geographic Information (VGI), Citizen Science, Big Geo Data, and geospatial AI. A global leader in Open-Source GIS advocacy, her work emphasizes open data ecosystems, collaborative mapping, and AI-driven geospatial solutions for environmental challenges. Key methodologies include open-source software frameworks and citizen science integration. Recent publications (2025) demonstrate convergence of AI and geospatial analysis, featuring satellite-ground sensor fusion for urban air quality, high-resolution land cover mapping, zero-shot learning for remote sensing imagery, landslide prediction models, and climate-agriculture impact studies. Dominant themes include open geospatial platforms, transferable AI architectures, and multi-scale environmental monitoring using open data principles. Honors include: Sol Katz Award for Geospatial Free and Open Source Software (OSGeo) As mentor of PoliMI's YouthMappers chapter (PoliMappers), she guides student-led open mapping initiatives. Her editorial leadership as Associate Editor of ISPRS International Journal of Geo-Information shapes discourse in geospatial AI and open science. Research grants span ESA Earth Observation programs, UN initiatives, and international collaborative projects focused on open geospatial infrastructure. Brovelli directs GEOLab at Politecnico di Milano, a hub for geospatial innovation developing open-source tools for earth observation, citizen science platforms, and AI-driven spatial analytics. The lab collaborates with UN-GGIM, ISPRS networks, and ESA projects, driving open standards adoption globally while advancing geospatial AI applications in climate resilience and urban sustainability.

Wei Huمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Graphs
• Semantic Web Technologies
• +۵ مورد دیگر

Wei Hu is a full Professor and Ph.D. supervisor in the Department of Computer Science and Technology at Nanjing University, China. He earned his Ph.D. and B.S. from Southeast University in 2009 and 2005, respectively, and joined Nanjing University faculty in 2009. He has held visiting positions at Stanford University (2014-2015), University of Texas at Arlington (2016-2017), and University of Toronto (2017) as a visiting scholar/professor. Research Interests focus on Knowledge Graphs : Representation learning, foundation models, and error detection Databases : Entity alignment, crowdsourcing, and blockchain integration Digital Medicine : Collaboration with Nanjing University's National Institute of Health Data Science Publication Trends show expertise in knowledge graph reasoning, federated learning, and biomedical applications. Recent works include in-context learning for graph reasoning and blockchain-based data fusion systems. Scientific Awards include Huawei 2025 Challenges Spark Award ASE 2024 Distinguished Paper Award CHIP 2021 Best Paper Award CCKS 2018 Best English Paper Award Nanjing University Study Abroad Program Awardee (2013) IBM China Excellent Student (2008) Advising involves leading the Knowledge Fusion Group at Nanjing University, mentoring 18 current and former Ph.D. and Master's students. Professional services include editorial roles at Transactions on Graph Data and Knowledge and Big Data Research , plus committee memberships in CCF, CIPSC, and JSCS.

Adila Alfa Krisnadhiمشاهده پروفایل

مدرس

• Semantic Technology
• Ontology
• Data Integration
• +۲ مورد دیگر

Adila Alfa Krisnadhi is a Lecturer at the Faculty of Computer Science, University of Indonesia, with a research focus on ontology, semantic technology, data integration, and knowledge representation. He serves as Manager of Research and Community Service for the faculty and co-director of the Tokopedia-UI AI Center of Excellence since 2019. Ph.D. in Computer Science from Wright State University M.Sc. in Computational Logic from Technische Universität Dresden B.Sc. in Computer Science from University of Indonesia His research bridges semantic web technologies with practical applications in geoscience data integration through projects like the GeoLink complex alignment benchmark. He contributes to ontology design patterns and has over 60 publications in journals and conferences including Semantic Web Journal, ISWC, ESWC, and WWW. Key trends in his publications include: Complex ontology alignment methodologies Real-world knowledge graph modeling Applications in geoscience data integration Ontology engineering best practices Interdisciplinary semantic technologies Pattern-based data representation

Margret Plankمشاهده پروفایل

پژوهشگر

• E-Infrastructure and Services for Non-Textual Materials
• Audiovisual Archives
• Science Communication
• +۶ مورد دیگر

Margret Plank is a Researcher at the German National Library of Science and Technology (TIB) , where she leads the Lab for Non-Textual Materials . Her work focuses on developing user-centered services for scientific videos, 3D models, and research data, with a strong emphasis on discoverability and reuse.

Sören Auerمشاهده پروفایل

استاد

• Semantic Technologies
• Knowledge Engineering
• Data Science
• +۷ مورد دیگر

Prof. Sören Auer is the Director of the German National Library of Science and Technology (TIB) and Professor of Data Science and Digital Libraries at Leibniz Universität Hannover's Faculty of Electrical Engineering and Computer Science . With academic positions at Dresden, Yekaterinburg, Leipzig, Pennsylvania, Bonn, and Fraunhofer Society, his career focuses on semantic technologies , knowledge engineering , and Artificial Intelligence Research Data Management Open Science Knowledge Graphs . He leads the Open Research Knowledge Graph (ORKG) initiative and co-founded DBpedia and eccenca.com . His research spans data science , AI-driven knowledge representation , and digital library systems . He has supervised numerous PhD theses and final-year theses while offering courses on Knowledge Engineering Semantic Web Technologies Data Integration Scientific Data Management . The technical focus includes semantic data interlinking , neuro-symbolic AI , and contextual metadata frameworks . As a recipient of prestigious awards including ERC Consolidator Grant SWSA Ten-Year Award ESWC 7-Year Best Paper Award OpenCourseware Innovation Award , Prof. Auer has led major projects like BigDataEurope and contributes to standards in W3C , NFDI , and EOSC . His recent publications demonstrate advancements in ontology alignment , LLM-driven schema discovery , and hybrid AI systems for scholarly knowledge organization.

Frederico Fonsecaمشاهده پروفایل

دانشیار

• Ontology
• Geographic Information Systems
• Information Systems
• +۱۲ مورد دیگر

Frederico Fonseca is an Associate Professor in the College of Information Sciences and Technology at Pennsylvania State University. His research focuses on the conceptualization and implementation of information in computer systems, with a particular emphasis on ontologies related to the environment and geographic information systems (GIS). He is affiliated with interdisciplinary research themes in Health and the Environment and contributes to foundational work in information science. His research interests span ontology, geographic information systems, knowledge sharing, big data, information integration, hermeneutics, and the philosophical foundations of information. He explores how meaning is constructed, shared, and represented in digital environments, especially through computational ontologies and cyber-human systems. His work bridges technical, social, and philosophical dimensions of information science. The recent publications highlight a strong trend in the intersection of information theory, environmental modeling, and human cognition. His articles explore semantic structures in data, the epistemology of big data, and the socio-technical aspects of digital systems. Key domains include GIS, ontology engineering, digital divides, and ethical design, reflecting a deeply interdisciplinary approach grounded in both technical rigor and philosophical inquiry. Scientific Awards: No scientific awards mentioned in the provided text. Frederico Fonseca has been involved in significant research projects related to spatial data infrastructures, knowledge sharing, and semantic systems. While specific grants are not listed, his collaborative publications suggest involvement in federally or institutionally funded initiatives, particularly in geoinformatics and data science. He has advised or collaborated with multiple researchers and students, though no formal advisees are named in the text. He is associated with research groups focusing on cyber-human systems, geographic information science, and semantic technologies. His work contributes to broader teams exploring open data, information ethics, and environmental informatics, particularly in the context of global challenges like forest monitoring and digital equity.

• Software Engineering
• Requirements Engineering
• Viewpoint-Oriented Development
• +۵ مورد دیگر

A. Finkelstein is a prominent researcher at City, University of London with an extensive publication record spanning over three decades from 1989 to 2021. Their scholarly work demonstrates significant contributions to software engineering, particularly in requirements engineering, viewpoint-oriented development, and aspect-oriented programming. Research interests encompass both traditional software engineering domains and interdisciplinary applications. Early work focused on foundational aspects of software development including requirements specification, consistency management, and software process modeling. More recently, research has expanded into biomedical applications, systems pharmacology, and computational biology, demonstrating the versatility and applicability of software engineering principles across domains. Analysis of publication trends reveals a progression from theoretical software engineering foundations to practical applications in diverse fields. The most recent publications show increasing interdisciplinary work, particularly at the intersection of software engineering and biological/medical domains, including agent-based modeling for pandemic response and systems pharmacology approaches. While specific advising information isn't detailed in the publication record, the extensive collaborative work suggests significant mentorship and team leadership throughout their career. The publication pattern indicates sustained research productivity with consistent contributions to major conferences and journals in the field. Research appears to be organized around multiple collaborative projects, particularly evident in the later publications which frequently involve interdisciplinary teams spanning computer science, biology, and medicine. The work on OpenABM-Covid19 demonstrates application of computational modeling techniques to urgent public health challenges.

Fabio Mogaveroمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Formal Verification
• Temporal Logic
• +۱۲ مورد دیگر

Fabio Mogavero is an Associate Professor in Theoretical Computer Science at the Department of Electrical Engineering and Information Technology, Università degli Studi di Napoli Federico II. His research spans formal specification, verification, and synthesis of systems, with a strong focus on logics, automata, games, and database theory. Ph.D. in Computer Science, Università degli Studi di Napoli Federico II, 2011 M.Eng. in Computer Science Engineering, Università degli Studi di Napoli Federico II, 2007 B.Eng. in Computer Science Engineering, Università degli Studi di Napoli Federico II, 2005 His primary research interests include formal verification, temporal and strategic logics, automata over infinite structures, decidability, and database theory—particularly bag semantics. He has made significant contributions to the theory of parity and mean-payoff games, strategy logic, and SHACL/RDF validation. His recent work explores fragments of first-order and monadic second-order logic, and he actively publishes in top venues such as LICS, ICALP, and IJCAI. The most recent articles highlight a sustained focus on logical characterizations (e.g., automata-theoretic models for temporal logics), game-solving algorithms, and foundational database theory, especially around SHACL and multiset semantics. His work bridges theoretical computer science with practical formal methods. Scientific Awards and Recognition: Erdös number at most 3 (via Erdös → J.H. Spencer → M.Y. Vardi → F. Mogavero) Fabio Mogavero has served on the program committees of major conferences including IJCAI, AAMAS, ECAI, and LICS. He has co-edited proceedings for the Strategic Reasoning (SR) and OVERLAY workshops. He has collaborated with leading researchers such as Moshe Y. Vardi, Orna Kupferman, and Michael Benedikt. He has held postdoctoral and teaching positions at the University of Oxford and Università di Verona. He is actively involved in the theoretical computer science community through conference organization and editorial work. He maintains research collaborations across Europe and the U.S. and continues to contribute to foundational and applied aspects of logic in computer science.

Jonathan Aldrichمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Verification
• +۳ مورد دیگر

Jonathan Aldrich is a Professor at Carnegie Mellon University's School of Computer Science, with joint appointments in the Software and Societal Systems Department and Computer Science Department. He directs the Master of Software Engineering program (as of July 2025) and previously led the Software Engineering Ph.D. program. Aldrich teaches courses in programming languages, software engineering, and program analysis. Education: Ph.D. in Computer Science and Engineering, University of Washington (2003) M.S. in Computer Science and Engineering, University of Washington (1999) B.S. in Engineering and Applied Science (Computer Science), Caltech (1997) Research Focus: Aldrich's work bridges programming languages and software engineering to improve software quality and productivity. His research explores how structural and behavioral design aspects can be expressed in source code, enabling better tooling and error reduction. Key innovations include gradual verification systems, typestate-oriented programming, and ownership models for security. His projects span blockchain safety (Obsidian), concurrency (AEminium), and visualization (Penrose). Publication Trends: Aldrich's 15 most recent articles reflect a strong emphasis on language-based security, formal verification (especially gradual verification techniques), and human-centered language design. His work increasingly integrates empirical studies to evaluate usability in advanced type systems. Awards: NSF CAREER Award (2006) Dahl-Nygaard Junior Prize (2007) ICSE Most Influential Paper Award (2012) DARPA Computer Science Study Group (2007) William Chan Memorial Dissertation Award (2003) Leadership & Service: Aldrich directs graduate programs, co-authored the textbook 'Programming Language Pragmatics,' and serves on the ACM Publications Board. As CTO of Noteful, he develops educational music technology. He has chaired program committees for OOPSLA, ECOOP, and SPLASH conferences.

Andrea Cassinمشاهده پروفایل

مدرس

• Community Engagement
• Environmental Communication
• Public Relations
• +۵ مورد دیگر

Dr Andrea Cassin serves as Lecturer and Professional Placement Lead in the Media and Communication department at the University of Newcastle's School of Humanities, Creative Industries and Social Sciences. With 17 years of institutional experience since 2007, she spearheads industry partnerships for student work-integrated learning and placement programs across undergraduate degrees including Media, Creative Industries, and Digital Media. Her academic credentials include a PhD in Communication and Media Arts from the University of Newcastle (2021), a Master in Media Science and Applied Communication with high distinction from Universitat Hannover, and Certificate IV qualifications in Assessment and Workplace Training and Training and Assessment. Her doctoral research examined community engagement in renewable energy through public relations theory. Cassin's research integrates practical applications with environmental and health communication, focusing on co-creation methodologies and emerging technologies. She leads industry-funded projects addressing real-world challenges through strategic communication frameworks, with particular emphasis on community-driven solutions for urban spaces, conservation, and public health awareness. Her work bridges academic theory with professional practice in public relations and digital media engagement. Analysis of her publication history reveals consistent interdisciplinary focus on community-centered environmental communication, with increasing integration of augmented reality and digital platforms since 2016. Her projects demonstrate evolution from theoretical public relations studies toward applied urban design and health communication initiatives involving multi-stakeholder collaborations with government bodies, Aboriginal land councils, and community organizations. Her scientific recognition includes: UON Engagement Excellence Award for Industry Engagement (2022) Good Design Australia Award for Newcastle City Night-Space Activation (2022) Faculty Excellence Award for Festival X Team (2019) Outstanding Postgraduate Student Achievement Award (2013) DVC(A) Merit List for Teaching Excellence (2019) Faculty Teaching Excellence Award (2009) Cassin has secured $379,118 across 12 competitive grants, primarily funding community-engaged projects like the organ donation awareness campaign ($73,118) and Newcastle City Night-Space Activation ($168,000). She has supervised 7 research students including PhD candidates examining climate change perceptions and social media dynamics, with all completed theses achieving First Class Honours. Her grant portfolio demonstrates strategic alignment with industry needs through FASTLab and College of Human and Social Futures initiatives. As a core FASTLab member and College of Human and Social Futures board participant (2021), she leads transdisciplinary teams developing innovative urban interventions. Her current leadership of the Professional Placement program and Blue Heeler Film Festival scholarship initiative demonstrates ongoing commitment to connecting academic training with creative industry practice through structured work-integrated learning frameworks.

• Bioinformatics
• Machine Learning in Healthcare
• Cancer Genomics
• +۳ مورد دیگر

Tuğba Süzek is an Associate Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University, Turkey. She holds a PhD in Bioinformatics from George Mason University (2012), an MSc from Johns Hopkins University (2000), and a BSc from Middle East Technical University (1997). Academic Background: BSc: Computer Engineering, Middle East Technical University (1993-1997) MSc: Bioinformatics, Johns Hopkins University (1998-2000) PhD: Bioinformatics, George Mason University (2003-2012) Research Interests center on bioinformatics , machine learning in healthcare , cancer genomics , transcriptomics , and molecular data analysis . She develops tools like TCGAnalyzeR for pan-cancer cohort discovery and CompCorona for coronavirus transcriptome analysis. Recent Articles span lung cancer pathogenesis, orthodontic malocclusion prediction, microbiome-host disease associations, and AI-driven diagnostic tools. Her work bridges cheminformatics and bioinformatics for drug repurposing. Scientific Awards ORISE Fellowship (2000) Patent Holder: System for Early Diagnosis of Skeleton Syndromes (2024) Advising and Grants include supervising student theses on AI in orthodontics and molecular cancer research . She leads EU-funded projects like Intraperitoneal immune modulation and TÜBİTAK grants for drug repurposing and neurodegenerative disease analysis .

• Artificial Intelligence
• Educational Technology
• Game-Based Learning
• +۳ مورد دیگر

Carlos José Villagrá Arnedo is a full-time Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante, where he has been employed since 1999. He holds a PhD in Computer Engineering (2016) and a Bachelor's in Computer Science from the Polytechnic University of Valencia (1994). He coordinates the Digital Creation and Entertainment program and previously served as Head of Studies for Multimedia Engineering. His research integrates Artificial Intelligence , Educational Technology , and Game-Based Learning , with specific focus areas including learning analytics, adaptive educational systems, programming pedagogy, and accessibility in gaming. Recent work explores mental model analysis using AI and low-level programming approaches to enhance learning outcomes. His publications demonstrate a consistent emphasis on predictive learning models, educational gamification, and inclusive technology design. Key trends include AI-driven analytics (2020-2024), programming error analysis (2018-2023), and accessible game development (2017-2019). Research Projects: Integrating Adaptive Flipped Learning in Physical Education Students (2024-2025) Smart Learning Research Group (2024) Semantic Web for Cultural Heritage (2019-2021) European Collaborative Learning for Robot Skill Acquisition (2016-2018) He has directed or co-directed 75+ undergraduate/master's theses in the last five years and leads the Smart Learning Research Group focused on intelligent educational technologies.

Lutz Maicherمشاهده پروفایل

استاد

• Digital Transformation
• Business Administration
• Blockchain Technology
• +۳ مورد دیگر

Prof. Dr. Lutz Maicher is a Professor at HTWK Leipzig's Faculty of Business Administration and Industrial Engineering. He specializes in Digital Transformation , Business Administration , and Blockchain Technology . With prior roles including Junior Professor at the University of Jena and leadership positions at Fraunhofer IMW, his work focuses on SME digitalization and intellectual property management. Current: Professor at HTWK Leipzig 2014–2022: Junior Professor for Technology Transfer, University of Jena 2011–2019: Head of Working Group at Fraunhofer IMW His research explores digital collaboration tools for low-IT-skill organizations, including the open-source project samarbeid , and addresses intellectual property challenges in blockchain-based innovation. He has led projects like FiberConnect (AI radar for circular economy) and HOME (Digital Commerce in social work). Recent publications highlight trends in AI-driven process optimization and blockchain applications for SMEs. His work bridges semantic technologies, data management, and industrial digitalization . Awards DFG Research Training Group Fellow German Academic Scholarship Foundation recipient As managing director of das Schwarzen Brett UG , he drives strategic development of digital entrepreneurship technologies. He advises on technology transfer and digital governance , with notable contributions to the Schumpeter Centre and INFAI institute.

Daniel P. Mirankerمشاهده پروفایل

استاد

• Semantic Web
• Bioinformatics
• Computational Biology
• +۷ مورد دیگر

Daniel P. Miranker is a Professor at the University of Texas at Austin , affiliated with the Department of Computer Science , Institute for Cell and Molecular Biology , and Center for Computational Biology and Bioinformatics . His work bridges Semantic Web technologies and Bioinformatics , focusing on data integration, ontology mapping, and computational methods for genomics. Research Interests Semantic Web and Ontology Interoperability Automated Data Integration via Machine Learning RNA Sequence Analysis and Comparative Genomics Big Data Methods in Genome Sequencing Health Informatics and Data Virtualization Recent Publications Trends : His work emphasizes cross-domain integration, particularly between relational databases and semantic ontologies (e.g., OBO ↔ OWL ), and applies computational biology to proteomics and genomics. Papers from 2007–2011 highlight algorithmic innovations for sequence alignment, protein identification, and LSID schema implementation. Scientific Awards : 1998 Best Paper, ACM 1998 Best Newcomer Paper Award, ACM Student Mentoring : Mentors graduate students in both Bioinformatics and Computer Science , including Donghyuk Shin, Yanan Jiang, Juan Sequeda, and others. Collaborators include Professors Oscar Corcho (Spain), Robin Gutell (UT Austin), Edward Marcotte (UT Austin), and Gregory Riccardi (FSU). Laboratory & Projects : Leads the Miranker Laboratory , with active projects such as Morphster (image-driven ontology editing), Ontobrowser , Ultrawrap (legacy RDBMS integration), MoBIoS (molecular data systems), and RNA analysis tools.