جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Data Science
• Predictive Maintenance
• +۴ مورد دیگر

Marta Fernandes is a PhD candidate at the University of Salamanca, Spain, while serving as a part-time lecturer and researcher at the Polytechnic Institute of Porto's Instituto Superior de Engenharia do Porto (ISEP) in Portugal. She specializes in Data Stream Learning for Predictive Maintenance and has been developing intelligent systems using Machine Learning and Big Data technologies. PhD in Computer Engineering (Intelligent Systems) at University of Salamanca (2019-2023) Part-time lecturer in Computer Architecture for Computer Engineering Bachelor's program at ISEP Researcher at GECAD (Intelligent Engineering and Computing for Advanced Innovation and Development) group Her research focuses on: Adaptive Educational Hypermedia Systems Predictive Maintenance applications Machine Learning and Big Data for industrial applications Intelligent Scheduling systems Scientific contributions: 2019 monetary recognition from IACOBUS Program for her work on predictive maintenance Co-author of multiple publications in prestigious conferences and journals Key projects: PIANiSM: Predictive and Prescriptive Automation for Smart Manufacturing (2019-present) InValue: Industrial Enterprise Asset Value Enablers (2016-2018) ADSyS: Adaptive Decision Support System for Interactive Scheduling (2013-2014) PCMAT: Mathematics Collaborative Learning Platform (2010-2013)

Dixin Tangمشاهده پروفایل

استادیار

• Databases
• Systems and Networking
• Vector Databases
• +۳ مورد دیگر

Dixin Tang is an Assistant Professor at the University of Texas at Austin Department of Computer Science. He previously served as a postdoc scholar at UC Berkeley under Prof. Aditya Parameswaran and earned his Ph.D. from the University of Chicago CS department under Prof. Aaron Elmore. Current research focuses on vector databases, large-scale unstructured data analysis, and data systems leveraging CXL memory technology. Key contributions include systems like Tigon (distributed CXL pod databases) and Pasha (scalable CXL pod architecture). His work emphasizes user-centered data systems, with projects like FormS (spreadsheet-to-SQL translation), Smash (string distance metrics), and Lux (visualization recommendations) demonstrating cross-decade innovation. Recent publications (2025) highlight trends in: CXL memory-optimized data architectures Homomorphism-based query frameworks Scalable unstructured data processing Scientific recognition includes: VLDB 2023 Best of Special Issue ICDE 2021 Short Paper Award Teaching roles include: CS 395T: Database Systems and LLMs (Fall 2025) CS 347: Data Management (Fall 2024) CS 395T: Advanced Query Optimizations (Spring 2024) Affiliated with the UT Data Systems research group, collaborating with Profs. Witchel and Chidambaram on CXL memory projects.

Korbinian Böslمشاهده پروفایل

پژوهشگر

• Data Management
• Bioinformatics
• Computational Biology
• +۵ مورد دیگر

Korbinian Bösl is a Researcher affiliated with the Computational Biology Unit at the Department of Informatics, University of Bergen . His work focuses on Research Data Management (RDM) within national infrastructures like ELIXIR Norway and Centre for Digital Life Norway , where he coordinates workshops, trains data stewards, and contributes to FAIR data policy development. Roles: Data Management Coordinator, ELIXIR Norway Helpdesk member, RDMkit editorial board, Software Carpentry instructor Education: PhD in Biomedicine from Norwegian University of Science and Technology (2019) Research interests include FAIR data principles , multiomics analysis of host-pathogen interactions , and proteogenomics in life sciences. His 15 most recent publications (2018-2024) demonstrate expertise in RDM practices across Norwegian research infrastructures, with specific contributions to data stewardship training , metadata standards , and software integration in projects like BioMedData. While no scientific awards are explicitly mentioned, Bösl has led critical infrastructure reports including Life Sciences DSW Knowledge Model and easyDMP integration studies . He provides RDM education through courses CCBIO906 and BT8121, and participates in the BioMedData and ELIXIR Norway consortia.

• Enterprise Architecture
• e-Government
• Public Sector Information Systems
• +۴ مورد دیگر

Håkan Sundberg serves as a Senior Lecturer at Mid Sweden University in Sundsvall, affiliated with the Department of Communication, Quality Management and Information Systems (KKI). His academic career spans over two decades with continuous research output through 2023. Dr. Sundberg earned his doctoral degree from Mid Sweden University in 2006 with the thesis "Problems in public e-service development". His research focuses on critical challenges in digital transformation, particularly examining enterprise architecture implementation in government contexts, stovepiped organizational structures , and rural mobile service delivery . Key contributions include analyzing interoperability in the Danish electricity market (2020) and public value perspectives in enterprise architecture adoption (2023). Analysis of his 15 most recent publications reveals consistent engagement with public sector information systems, showing evolving focus from foundational e-government challenges (2004-2007) toward contemporary issues in multi-organizational interoperability and value creation. His methodology frequently employs case studies in Scandinavian contexts with strong emphasis on practical implementation barriers. Håkan Sundberg actively contributes to the Forum för digitalisering (FODI) research group at Mid Sweden University, which examines digital transformation across societal sectors. His work demonstrates sustained collaboration with researchers like K.W. Sandberg and P. Wallin, particularly in public sector IT studies.

Barbara Bordalejoمشاهده پروفایل

استاد

• Digital Humanities
• Textual Scholarship
• Scholarly Editing
• +۴ مورد دیگر

Barbara Bordalejo is a Professor at the University of Lethbridge with dual appointments in Digital Humanities and English . She serves as President of the Canadian Society for Digital Humanities/Société canadienne des humanités numériques and has held leadership roles in Global Outlook:: Digital Humanities and the European Association of Digital Humanities . Her work focuses on: Digital Editions : Leading the CantApp project (2020) for mobile access to Chaucer’s Canterbury Tales , co-developing the Textual Communities platform with Peter Robinson, and editing Darwin’s Origin of Species . Textual Scholarship : Exploring phylogenetic methods for manuscript analysis, collation techniques, and the intersection of bioinformatics with textual criticism. Equity in Digital Humanities : Investigating gender and minority representation through publications like Minority Report (2018) and co-organizing ADHO diversity workshops (2017–2022). AI and Academic Integrity : Analyzing false positives in AI detection software (2025) and advocating for responsible AI policies in education. Her research projects include collaborations with Richard North and Peter Robinson on digital tools, work with Roopika Risam on intersectional DH, and contributions to global DH initiatives across disciplines and regions.

Julie Bourbeillonمشاهده پروفایل

مدرس

• Bioinformatics
• Systems Biology
• Artificial Intelligence
• +۹ مورد دیگر

Julie Bourbeillon is a Lecturer in Computer Science at Institut Agro Rennes-Angers , where she co-directs the Department of Statistics and Computer Science. Her work bridges Bioinformatics , Computer Vision , and Data Integration with applications in Plant Biology and Horticulture . She has developed educational frameworks for integrating digital skills into horticultural training using the PiX framework . Education : PhD in Computer Science (2007, Université Grenoble 1), Master of Science and Engineering for Health and Medicine (2004), Engineer (2002, INAPG) Her research focuses on semantic distance , heterogeneous data integration , and data visualization for biological datasets. She leads the DIVIS project for handling complex phenotypic data and co-developed ELVIS and QuaDS software tools. Key projects include: DIGITOM (2024-2027): Digital twins for climate-resilient agriculture ERICA (2025-2026): Robotic climate mapping in greenhouses GRIOTE (2014-2018): Bioinformatics collaboration

José Manuel Torresمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Multimedia Systems
• Computer Science
• +۴ مورد دیگر

José Manuel Torres is an Associate Professor at the Faculty of Science and Technology of Fernando Pessoa University , where he has been teaching since at least 1997. He holds a PhD in Computer Science from Lancaster University (2005) and a MSc in Electrical and Computer Engineering (1997). His research focuses on Visual Information Retrieval , Multimedia Systems , and Database Modeling . PhD Thesis: "Visual Information Retrieval through Interactive Multimedia Queries" (Lancaster University, 2005) Current Research: Investigator at ISUS and LIACC research centers Email: jtorres@ufp.edu.pt Research interests span multiple domains including: Artificial Intelligence applications in multimedia Multimodal Interfaces for information retrieval Object-Oriented Database Systems modeling Computational Semiotics in digital systems MPEG-7 Standard contributions for multimedia description Visual Query Systems with region-based feedback His scholarly work shows trends in: Interactive multimedia query systems Electromagnetic teaching methodologies Database architecture comparisons Information preservation standards Adaptive interface design Visual search algorithms Teaching portfolio includes: PhD-level Artificial Intelligence courses Undergraduate Algorithms and Data Structures sequences Master's Computer Vision instruction Comprehensive Electromagnetism course development

Alberto Salarelliمشاهده پروفایل

دانشیار

• Library Theory
• Digital Libraries
• History and Bibliography of Gastronomy
• +۲ مورد دیگر

Alberto Salarelli is an Associate Professor at the University of Parma , affiliated with the Department of Humanities, Social Sciences and Cultural Enterprises . He specializes in Bibliography and Library Science with a focus on Digital Documentation . Education: Degree in Literary Subjects and Conservation of Cultural Heritage, University of Parma (1986-1992) Diploma in Archival Science, Paleography and Diplomatics, School annexed to the State Archives of Parma (1993-1995) His research interests include library theory, digital libraries, gastronomic history and bibliography, and digital copyright. Current projects explore the intersection of information science with cultural heritage and artificial intelligence in library systems. Recent publications analyze web archiving challenges, digital preservation strategies, and the evolution of culinary documentation. He contributes to international journals such as AIB Studi , Bibliothecae.it , and JLIS.it , and directs the periodical Ricerche di S/Confine . He serves on scientific committees for institutions including the Gallerie Estensi and the Emilia-Romagna Region's Cultural Heritage Committee . His career spans academic roles, research collaborations with CERN, and leadership in regional library systems.

Edward Davisمشاهده پروفایل

دانشیار

• Vertebrate Paleontology
• Evolutionary Biology
• Paleoecology
• +۵ مورد دیگر

Edward Davis serves as Associate Professor in the Department of Earth Sciences and Curator of the Condon Fossil Collection at the University of Oregon's College of Arts and Sciences, while also holding the position of Paleontological Collection Manager at the Museum of Natural and Cultural History. His academic profile centers on bridging paleontological research with contemporary ecological and climate change studies through extensive specimen-based investigations. Dr. Davis's research focuses on vertebrate evolution, particularly mammalian morphological and ecological adaptations across the Cenozoic era. He examines dietary strategies, reproductive behaviors, and community dynamics in response to tectonic shifts and climate change, with specialized expertise in rodents, carnivores, ungulates, and extinct salmonids. His work integrates fossil record analysis with modern ecological principles to model biodiversity responses to environmental stressors. Analysis of his recent publications reveals dominant trends in digital paleontology infrastructure development, particularly through leadership in the Neotoma Paleoecology Database project. His research demonstrates consistent methodological innovation in trait data standardization, fossil detection technologies, and paleoenvironmental reconstruction techniques that address interdisciplinary challenges in earth system science. No scientific awards or honors were specified in the available documentation. Dr. Davis secures significant collaborative grants including NSF-funded projects for Neotoma database expansion and the Eastern Pacific Invertebrate Communities of the Cenozoic (EPICC) Thematic Collections Network. He mentors graduate students in paleontology though specific advisees aren't listed, and maintains active partnerships with climate scientists, ecologists, and data specialists across multiple institutions. He directs operations at the Condon Fossil Collection, a major Pacific Northwest repository for paleontological specimens, and maintains digital research platforms including the "vertpaleo" project and "4dbio" blog. His team develops geospatial training resources like Georeferencing for Research Use (GRU) to enhance fossil collection utility for contemporary environmental research.

Sebastian Ahnertمشاهده پروفایل

دانشیار

• Algorithmic Information Theory
• Network Analysis
• Genotype-Phenotype Maps
• +۴ مورد دیگر

Dr. Sebastian Ahnert is an Associate Professor at the Department of Chemical Engineering and Biotechnology, University of Cambridge, and a Senior Research Fellow at The Alan Turing Institute. He leads the Structural Complexity research group and is a Fellow of King's College, Cambridge. Current Positions: Associate Professor (Cambridge), Senior Research Fellow (Alan Turing Institute), Fellow (King's College) Research Interests: Algorithmic information theory, network analysis, genotype-phenotype maps, interdisciplinary applications in biology, humanities, and food science His work spans the quantification of biological complexity using algorithmic descriptions, including protein quaternary structure classification , RNA sequence-structure maps , and symmetry in evolutionary systems . Network analysis applications extend to historical correspondence (Tudor Networks of Power), food science (flavor compound networks), and connectomes . Recent publications emphasize non-deterministic genotype-phenotype maps , neutral set thermodynamics , and automated phenotyping technologies. Award highlights: 2024 Richard Deswarte Prize in Digital History Shortlisted for 2024 SHARP Book History Prize Current students include PhD candidates in computational biology and plant science, with former advisees contributing to RNA evolution and network analysis studies. Collaborations span quantum physics, plant developmental biology, neuroscience, and digital humanities.

• Adult Education
• Digital Learning
• Professional Development
• +۳ مورد دیگر

Carmen Biel serves as Deputy Head of the Knowledge Transfer Department at the German Institute for Adult Education (DIE) and holds a lecturer position at Eberhard Karls University of Tübingen. With a career at DIE since 2022, she leads knowledge transfer initiatives while conducting research on digital learning technologies for adult educators. Her work bridges academic research and practical applications in the field of continuing education, focusing on how technology can enhance professional development for teaching staff. Dr. Biel completed her educational science degree (Diplom-Pädagogin) with a specialization in adult education, studying at the University of Bremen for foundational coursework and the University of Hamburg for advanced studies. Her academic background has shaped her research trajectory centered on self-organized learning environments and digital transformation in adult education contexts. Her primary research interests focus on digitally supported professional development of teaching staff, with particular expertise in AI applications for adult education. She investigates how metadata standards, adaptive learning systems, and open educational resources can create more effective learning experiences for educators. Her work consistently addresses the challenges of implementing digital tools in practical educational settings, with an emphasis on user-centered design and practical applicability in adult learning environments. Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated AI applications in adult education, particularly recommendation systems that enable personalized learning pathways for educators. She has extensively examined national education platforms, digital transformation in teacher professionalization, and innovative assessment methods. Her research demonstrates how technology can facilitate self-organized learning while addressing practical implementation challenges in real-world educational contexts. Member of the Steering Committee for Digital Formats Workshop at QUA-LiS NRW (since 2019) Member of the e-ASEM network focusing on ICT skills and e-learning in lifelong learning (since 2020) Project lead for TrainSpot2, KUPPEL (connecting learning platforms), and EULE (learning offering for adult education teachers) At the Leibniz Institute for Knowledge Media in Tübingen, Dr. Biel contributes to the Knowledge Exchange working group, developing digital tools like wb-web that support professional development for adult educators. Her current research focuses on how AI can enhance learning experiences in continuing education contexts, particularly through cross-platform recommendation systems that adapt to individual learning needs while maintaining user privacy and trust.

• Formal Methods
• Graph Databases
• Database Theory
• +۴ مورد دیگر

Ştefania-Gabriela Dumbravă is an Associate Professor in Computer Science at the École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE), part of Institut Polytechnique de Paris. She leads the ACMES team at Samovar Laboratory (Télécom SudParis) and participates in international working groups including the Property Graph Schema Working Group and European Research Network on Formal Proofs. Education: PhD in Computer Science, Université Paris-Sud (2016) MSc in Computer Science, Jacobs University Bremen (2012) BSc in Mathematics, Jacobs University Bremen (2010) Research Focus: Her work centers on formal methods for designing and verifying graph database algorithms, with emphasis on: certified database engines, property graph schemas, threshold queries, progressive querying techniques, and knowledge graph evolution. She integrates theorem proving (Coq/Isabelle) with practical database applications. Publication Trends: Her recent works demonstrate strong focus on graph database foundations (schemas, query processing) and practical verification techniques. Publications frequently appear in top-tier venues (VLDB, SIGMOD, ICDE) and emphasize both theoretical rigor and real-world applications in areas like bioinformatics, transportation, and networking. Awards & Honors: EASST Best Software Science Paper (ICGT 2025) ICDE/SIGMOD Distinguished Reviewer Awards (2025) SIGMOD Best Paper & Research Highlight (2023) VLDB Best Paper Runner-Up (2022) Students & Grants: Supervises Master's interns on graph database applications. Leads the ANR JCJC VERDI project (2025-2029) on verified distributed graph systems. Actively recruits PhD candidates for this initiative. Labs & Service: ACMES team at Samovar Lab. Serves on editorial boards (TODS, TGDK) and program committees (VLDB, SIGMOD, ICDE). Coordinates VLDB 2026 Demonstrations Track and co-organizes multiple workshops (GRADES-NDA, TGD).

• Wildlife Biology
• Quantitative Ecology
• Animal Behavior
• +۵ مورد دیگر

Dr. Fabiola Iannarilli is a wildlife biologist and quantitative ecologist specializing in animal behavior, conservation ecology, and biodiversity monitoring. As a Marie Skłodowska-Curie Postdoctoral Fellow at the Max Planck Institute of Animal Behavior's Department of Migration , she leads cross-institutional research initiatives focused on understanding human-driven ecological changes and advancing camera trap data methodologies. Education: PhD in Conservation Sciences (University of Minnesota, 2020), MA in Ecobiology (Sapienza - University of Rome, 2012), BA in Biology (Sapienza - University of Rome, 2010) Her research examines how wildlife responds to habitat loss, domestic species interactions, and human presence across spatio-temporal scales. She promotes standardized monitoring programs and open data sharing through projects like WildEuro and Snapshot Europe , leveraging camera traps and AI tools to improve ecological inference. Recent projects include: WildEuro: Quantifying the 'landscape of fear' in Europe via camera trap networks. Snapshot Europe: Systematic continent-wide mammal surveys. Big_Picture: Overcoming data-sharing barriers with Biodiversa+ funding. She has developed tools like MLWIC2 for machine learning-based animal identification and published extensively on topics including observer bias, activity pattern modeling, and biodiversity tracking. Scientific Awards: Marie Skłodowska-Curie Postdoctoral Fellowship Collaborations: Active in Yale Center for Biodiversity and Global Change (2020-2023), Norwegian Institute for Nature Research (2014-2015), and Fondazione Ethoikos (2013-2014). Her work emphasizes legal and institutional barriers in data sharing, statistical best practices, and global conservation strategies.

• Digital Archiving
• Electronic Document Management
• Digital Preservation
• +۳ مورد دیگر

Stefano Allegrezza is a Tenured Professor at the Department of Humanities, Languages, Mediation, History, Literature, and Philosophy at the University of Macerata (Italy). He holds the academic rank of Professor Level II and specializes in digital archiving, electronic document management, and preservation of digital records. He directs the Master's program in Formation, Management, and Preservation of Digital Archives (FGCAD) and the Summer School in Web, Social Media, and Instant Messaging Archiving (WEPRES). Research Interests Digital preservation Artificial intelligence applications Format obsolescence Personal digital archives Ecclesiastical archival practices GDPR compliance in archives His recent publications focus on AI-driven archival aggregation, file format standardization, and digital preservation challenges. He coordinates the Interdepartmental Center for Studies on Innovation and Digitization (CEIDIM) and contributes to the Foundation for Digital Sustainability. He is affiliated with international archival organizations including ICA, AIDUSA, ANAI, and AIUCD.

Henrique Santosمشاهده پروفایل

پژوهشگر

• Knowledge Representation
• Domain-Specific Reasoning
• Explainable Artificial Intelligence
• +۵ مورد دیگر

Dr. Henrique Santos is a Researcher and Director of Semantic Applications in the Tetherless World Constellation at Rensselaer Polytechnic Institute. His work bridges Semantic Web technologies with multidisciplinary domains, focusing on knowledge representation, domain-specific reasoning, and explainable AI. Key Projects : RUBICON, HEALS, HHEAR, Machine Common Sense (MCS), Whyis, Semantic Data Dictionaries (SDD), HADatAc, Jefferson Project on Lake George, ARCLIGHT. Education : Doctor of Science (D.Sc.) in Applied Informatics from Universidade de Fortaleza, Brazil. Dr. Santos applies Semantic Web technologies to solve practical challenges in smart cities and radio spectrum policy. His research emphasizes creating machine-readable frameworks that enhance data analysis and decision-making. He has led government-sponsored projects like DARPA's Machine Common Sense and the National Spectrum Consortium's Policy Development. His publications span top AI venues such as Nature Machine Intelligence , IEEE Intelligent Systems , and the International Semantic Web Conference . His work on the DSA Policy Framework integrates OWL, PROV-O, and GeoSPARQL for automated spectrum access evaluation, while his Jefferson Project contributes to environmental monitoring systems.