جست‌وجوی استاد و پژوهشگر

• Semantic Web
• Linked Open Data
• Knowledge Management
• +۴ مورد دیگر

Klaus Tochtermann serves as a Professor at the Institute of Human-Centred Computing within the Faculty of Computer Science at Graz University of Technology. His research spans multiple dimensions of web technologies and knowledge management systems, with particular focus on the Semantic Web and Linked Open Data ecosystems. His research interests center on Semantic Web technologies , Linked Open Data applications , and knowledge management systems . Tochtermann explores how semantic technologies can transform information retrieval, knowledge organization, and collaborative processes in digital environments. His work investigates the economic implications of data value chains within the Web of Data ecosystem and develops methodologies for harvesting and integrating distributed knowledge resources. Analysis of his publication trends reveals consistent contributions to Semantic Web standards, with increasing focus on practical applications of Linked Data in enterprise and academic contexts since 2008. His work bridges theoretical computer science with real-world implementation challenges in knowledge-intensive domains. Stipendiat der Max Kade Foundation (1996) Tochtermann has led numerous significant research projects including EU-funded initiatives like MATURE (Continuous social learning in knowledge networks), ICT_ENSURE (European ICT environmental sustainability research), and FIT-IT Lasso (Lookup & Alignment Service with Semantic Open data). His project portfolio demonstrates strong collaboration with European research institutions and industry partners, addressing critical challenges in knowledge networking and semantic technologies. He actively contributes to academic discourse through conference organization, including I-Know 2009, and maintains engagement with practical applications through press contributions such as 'Bibliotheksgespräche - Future Internet und die Bibliotheskwelt'.

• Tax Law
• International Fiscal Cooperation
• AI in Public Administration
• +۳ مورد دیگر

María Amparo Grau Ruiz is a Professor at the Department of Financial and Tax Law, Complutense University of Madrid. Her work bridges tax law with emerging technologies, focusing on AI applications in public expenditure auditing and sustainability-driven fiscal policies. Complutense University of Madrid – Department of Financial and Tax Law Author in Deusto Journal of Human Rights , Spanish Journal of External Control , and Tax Technical Magazine Researcher on EU tax harmonization and digital economy taxation Her research explores AI integration in tax administration , sustainability-focused fiscal instruments , and robotics governance . Articles address technical challenges like DAC6 transposition, carbon taxation frameworks, and digital economy taxation. Collaborations with Rita de la Feria and Yolanda Sánchez-Urán Azaña highlight interdisciplinary approaches to tax policy and labor dynamics. Key themes include: AI in Public Finance: Ethical implications of algorithmic budgeting and auditing Sustainability Taxation: Carbon credits, energy-efficient housing incentives Digital Economy: Taxation of digital services, platform economy regulations Robotics: Social security implications, fair taxation of automation

Katharina Habermannمشاهده پروفایل

مدرس

• Differential Geometry
• Global Analysis
• Mathematical Physics
• +۴ مورد دیگر

Katharina Habermann is a mathematician, lecturer, and researcher working as a subject librarian at the Göttingen State and University Library, where she is responsible for Mathematics and Computer Science. She serves as the overall project coordinator for the 'Mathematics Information Service' funded by the German Research Foundation (DFG) and is the scientific contact person for the Central Archive for German Mathematics Bequests, demonstrating her unique position bridging mathematical research and information science. PhD in Mathematics (Dr.rer.nat.) from Humboldt University of Berlin (1993) Habilitation (1999) Lecturer at Göttingen University (2005-present) Subject Librarian for Mathematics and Computer Science (2004-present) Her research spans two interconnected domains: mathematical sciences and information management. Early in her career, she focused on Differential Geometry, Global Analysis, and Mathematical Physics, particularly symplectic geometry and Dirac operators. More recently, her work has evolved toward the History of Mathematics, with special emphasis on Erhard Weigel (1625-1699), a key figure in 17th century mathematical sciences. Her information science expertise includes Mathematics Information Services, Information Literacy, Electronic Publishing, and Digital Libraries, creating a synergistic relationship between historical scholarship and contemporary information management. Her publication record reveals a clear trajectory from pure mathematics research to historical and information science topics. The earliest works focus on symplectic Dirac operators and twistor spinors, while more recent publications address Erhard Weigel's contributions, calendar reform history, and mathematical information systems. This evolution reflects her dual expertise as both a research mathematician and information specialist, with publications spanning prestigious mathematics journals and historical scholarship venues. Middle German Historian Prize in the 'History of Science' (2014) Gerhard Hess Award of the German Research Foundation (DFG) (2000) As both lecturer and subject librarian, Dr. Habermann coordinates significant DFG-funded projects that connect historical mathematical heritage with contemporary research needs. Her work on the Electronic Research Archive for Mathematics and vifamath initiative demonstrates practical applications of her research in creating accessible mathematical information resources. She has supervised numerous projects related to mathematical information infrastructure while maintaining active scholarly engagement through publications and conference organization. She leads the Central Archive for German Mathematics Bequests and coordinates the Mathematics Information Service, creating a vital link between historical mathematical heritage and current research practices. Her work with the Oxford Seminar in the History of the Exact Sciences and the Adam-Ries-Kolloquium demonstrates her commitment to fostering scholarly communities around mathematical history and information practices.

Adrian Evansمشاهده پروفایل

استاد

• Biometrics
• 3D Face Recognition
• Colour Image Processing
• +۷ مورد دیگر

Prof. Adrian Evans serves as Deputy Head of Department in the Department of Electronic & Electrical Engineering at the University of Bath, where he leads research within the Electronics Materials, Circuits & Systems Research Unit (EMaCS) and The Foundry: Centre for Digital, Manufacturing & Design. His academic profile demonstrates active engagement in doctoral supervision and cutting-edge research across multiple domains of image processing and biometrics. His primary research focuses on biometrics—particularly 3D face recognition techniques resilient to facial expressions—and advanced colour/multispectral image processing. He has pioneered methods for colour edge detection, nonlinear filtering, and scale-space sieve-based segmentation. His motion estimation work specializes in analyzing non-rigid bodies like clouds and glaciers, while his nonlinear image processing research centers on mathematical morphological sieves and granulometric texture analysis. Recent publication trends (2021-2025) reveal a strategic shift toward computer vision applications in transportation (multi-camera vehicle tracking systems) and healthcare (non-contact cardiorespiratory monitoring). His work increasingly integrates radar technology with computer vision for vital sign detection while maintaining foundational contributions to mathematical morphology and image enhancement techniques. No major scientific awards are documented in the provided materials. His supervisory record includes 11 doctoral students, with current openness to new PhD candidates. Research funding spans UK government and industry collaborations including EPSRC projects like High Speed 4K Video Transmission (2016-2018) and multiple KTP partnerships with Seiche Measurements Limited and Navtech Radar Limited. He operates within Bath's EMaCS research unit and The Foundry center, leveraging these interdisciplinary environments for digital manufacturing and design innovation. His work directly supports UN Sustainable Development Goals through applications in smart transportation systems and healthcare technology development.

• Demography
• Census Data Harmonization
• Population Studies
• +۳ مورد دیگر

Lara L Cleveland is a Researcher at the Minnesota Population Center within the Institute for Social Research & Data Innovation at the University of Minnesota. Her work focuses on demographic data harmonization and infrastructure development through projects like IPUMS-International. Active in projects funded by the National Science Foundation and NIH National Institute of Environmental Health Sciences Co-Principal Investigator for initiatives linking census data to environmental health research Specializes in creating standardized datasets for population dynamics analysis Research interests include: Demographic data harmonization Population census microdata infrastructure Statistical coherence in educational metrics International collaboration frameworks Open data platforms for social sciences Cross-regional demographic validation Her publications demonstrate expertise in transforming census data into research-ready formats across Asia-Pacific and African contexts, with recent contributions to global data harmonization methodologies. Key collaborations include: Working with IPUMS founders and principal investigators Developing data systems for environmental health studies Building international census data networks

Jean Le Feuvreمشاهده پروفایل

استادیار

• Multimedia Systems Architecture
• Interactive Media Production and Streaming
• MPEG Standardization
• +۴ مورد دیگر

Jean Le Feuvre is a lecturer and researcher (equivalent to Assistant Professor) in the Image, Data, Signal (IDS) department at Télécom Paris , an active member of the MPEG standardization body since 2000, and the creator of the open-source multimedia platform GPAC . He belongs to the Multimedia (MM) research team within the Information Processing and Communication Laboratory (LTCI). Research Interests: His work spans multimedia systems architecture, focusing on authoring, coding, transmission, composition, and rendering of interactive, animated contents that mix audio, video, text, images, and dynamic metadata. Key areas include: MPEG-DASH adaptive streaming and low-latency delivery ISO Base Media File Format (ISOBMFF) design and extensions HEVC/VVC-based tiled and layered media Media encryption and selective protection (Common Encryption, CENC) Hybrid broadcast–broadband services Open-source multimedia toolchains (GPAC ecosystem) Standards & Publications Trend: Over the past two decades Le Feuvre has continuously contributed to, and edited, core MPEG standards such as ISOBMFF, DASH, Common Encryption, and scene description languages. His recent 2024-2025 patents and papers emphasize low-latency streaming, efficient encapsulation of partitioned (tiled) media, robust indexing/repair mechanisms, and improved random access—demonstrating a clear trajectory toward real-time, adaptive, and secure next-generation media delivery. Scientific Awards & Honors: While no specific named awards are listed, his long-standing role as MPEG standard editor and his continuous leadership of the widely adopted GPAC open-source platform constitute significant recognition within the multimedia research community. Teaching & Supervision: He teaches Master-level courses on Multimedia Networking (M2R AV Transport & Content Security) and mentors multidisciplinary first-year student projects (PACT, PAF, ARTEFACT). He also serves as scientific contact for internships and provides corporate training on Digital TV, Mobile TV, Video over IP, and 3D TV through Télécom Paris. Laboratory & Teams: Le Feuvre is embedded in the LTCI laboratory and leads development within the GPAC open-source community, coordinating contributions to reference software, conformance tools, and end-to-end streaming solutions.

• Optical networks
• Optical switching
• Silicon photonics
• +۵ مورد دیگر

Roberto Proietti is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. He is a member of the PhotoNext Interdepartmental Center for Applied Photonics and coordinates the Laurea degree program in Electronic and Communications Engineering. His research focuses on optical networks , optical switching , silicon photonics , and quantum networking , with applications in machine learning-driven environmental sensing and smart infrastructure . He has led projects like Performance Tradeoff Studies of Copropagating QKD and Classical Signals in WDM Optical Networks (Scientific Director, 2023-2024) and contributes to SDG Goals 9 (Industry & Innovation) and 11 (Sustainable Cities). He advises PhD students Andrea Rosso and Hasan Awad. His teaching includes Quantum Communications and Networks , Optical Fiber Communications , and Open Optical Networks across multiple degree programs, including Electrical, Communications, and Quantum Engineering. Email: roberto.proietti@polito.it Phone: +39 0110904126 Projects: Quantum Wrapper Networking, Machine Learning for Earthquake Detection

Petra Grellمشاهده پروفایل

استاد

• Media Education
• Digital Culture in Education
• Interactive Media in Teaching
• +۷ مورد دیگر

Petra Grell is a Full Professor of General Education with a focus on Media Education at the Technische Universität Darmstadt (TU Darmstadt) since 2013 and serves as Dean of the School of Humanities at TU Darmstadt since 2017. She is the Link Convenor of Network 6 (Open Learning, Media, Environments, and Cultures) within the European Educational Research Association (EERA) and has held leadership roles in professional societies like the German Educational Research Association (DGfE) and the Society for Media in Education (GMW). Education: Diplom-Pädagogik in Educational Science, Psychology, and Sociology (1995) and Ph.D. in Educational Science (2005) from Universität Hamburg. Research: Focuses on digital culture's impact on education, gamification in learning, social software in institutional teaching, and media literacy. She explores participatory dynamics, exclusion mechanisms, and VR/AR applications in educational settings. Key Themes: Analysis of 15 recent articles reveals trends in: Digital education frameworks Privacy in school technology Immersive learning systems (VR/AR) Media literacy policy Ethical implications of EdTech Awards: Fellow of TU Darmstadt's Forum for Interdisciplinary Research (2017-2021). Grants: Led third-party funded projects including "Innovationsbereitschaft unter Praxisdruck" (2007-2012) and "Geschlechtersensible Medienkompetenzförderung" (2005-2006). Labs/Teams: Co-leads research on virtual learning factories and serves on advisory boards for digital ethics in Darmstadt and media education initiatives.

Melanie Ganz-Benjaminsenمشاهده پروفایل

دانشیار

• Medical Image Analysis
• Machine Learning
• Neuroimaging
• +۳ مورد دیگر

Melanie Ganz-Benjaminsen is an Associate Professor at the Department of Computer Science (University of Copenhagen) and a researcher at the Neurobiology Research Unit (Rigshospitalet, Copenhagen). With a background in physics and computer science, she focuses on applying medical image analysis , machine learning , and statistical learning to neuroimaging data (PET & MRI) for clinical applications. PhD in Medical Image Analysis (University of Copenhagen, 2011) MSc in Physics (Karlsruhe Institute of Technology, 2007) Current positions: Associate Professor & Researcher Methodological focus: preprocessing , segmentation , registration of medical images Advocates for Open Science and Brain Imaging Data Structure initiatives Recent publications (2025) address: MRI motion artifact correction (Magma Journal) Multiverse analysis frameworks for preprocessing pipelines (Imaging Neuroscience) Neurodevelopmental studies linking serotonin morphology to adolescent behavior (NeuroImage: Clinical) NeuroMark PET atlas construction (bioRxiv) Colon segmentation pipelines (arXiv) Scientific contributions span radiological evaluation validation , hippocampal volume tracking , and AI ethics in healthcare . She organized the 2022 Responsible ML for Healthcare conference and has been featured in media regarding non-sedation medical imaging (2020).

Philippe Bonnetمشاهده پروفایل

استاد

• Database Systems
• Storage Systems
• High Performance Computing
• +۶ مورد دیگر

Philippe Bonnet is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen since 2023, where he is affiliated with the Programming Languages and Theory of Computation section. Previously, he served as a Professor at the IT University of Copenhagen from 2009 to 2023 and as an Associate Professor at DIKU from 2001 to 2009. His academic journey began with a PhD from Universite Savoie Grenoble, France in 1999. Education: PhD from Universite Savoie Grenoble, France (1999) Philippe Bonnet is an experimental computer scientist with expertise in database systems and storage system software. His research focuses on the intersection of database systems and storage technologies, with significant contributions to the uFlip Benchmark, Linux multiqueue block layer, Linux framework for Open-Channel SSDs, OX architecture for computational storage, xNVMe library, and Delilah prototype for eBPF offload. His work spans database tuning, sensor networks (Cougar project at Cornell, Hogthrob and Mana projects at U.Copenhagen), and edge-based AI for predictive maintenance through the DAPHNE Project. His technical contributions bridge theoretical computer science with practical systems development. His recent publications demonstrate a strong trend toward integrating database systems with advanced storage technologies, particularly focusing on computational storage, CXL integration, and reliability mechanisms between databases and SSDs. His work bridges computer architecture, operating systems, and database systems to create more efficient data processing infrastructures, with increasing emphasis on edge-based applications and reproducibility in computer science research. Scientific Awards: ACM SIGMOD Contribution Award (2020) Professor Bonnet has served in numerous editorial and committee roles, including as Editor of Big Data Research Journal since 2021, Member of the VLDB Endowment (2020-2025), Member of ACM EIGREP, and long-standing involvement with ACM conferences. His work on the DAPHNE Project focuses on creating an open and extensible system infrastructure for integrated data analysis pipelines, particularly for edge-based AI applications in predictive maintenance. He co-authored a book on database tuning with Dennis Shasha and has been instrumental in advancing storage system software through multiple high-impact projects and collaborations.

Norbert Frankمشاهده پروفایل

استاد

• Climate Reconstruction
• Geochemical Tracers
• Uranium-series Dating
• +۳ مورد دیگر

Prof. Norbert Frank is a leading researcher at the University of Heidelberg , where he serves as Professor and Managing Director of the Institute of Environmental Physics. His work focuses on high-resolution climate archive dating using 230Th/U and 14C methods, with a particular emphasis on reconstructing past climate parameters and biogeochemical cycles through trace elements and radiogenic isotopes in natural archives like sediments, corals, and speleothems. Academic Leadership : Director of the Institute of Environmental Physics (2023–2025), Bridge Professor at Heidelberg (2012–present) Key Institutions : Laboratoire des Sciences du Climat et de l'Environnement (France), Lamont-Doherty Earth Observatory (USA) His research spans Quaternary climate systems , particularly the nonlinear dynamics of ocean circulation and freshwater cycles during climatic instabilities. Current projects include: 2023–2025 DFG: Northern Hemisphere source of the Mid-Pleistocene Transition 2022–2025 DFG: Maya culture hydroclimate reconstruction 2019–2023 DFG: Radiocarbon in speleothems Scientific awards include the 2018 Physics Faculty Teaching Award , 2009 CEA Outstanding Achievement Prize , and 2001 EU Marie-Curie Fellowship . He has established two fully funded geochemical laboratories in France and Germany, trained hundreds of students, and contributed to over 30 funded projects totaling more than €10 million. Despite numerous rejections, his perseverance led to significant breakthroughs in cold-water coral dating and Quaternary climate dynamics research.

• Networking
• Network Security
• Wireless and Wired Security
• +۵ مورد دیگر

Bruce Hartpence is a Professor in the School of Information at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). He has been at RIT since 1998, focusing on networking, security, and machine learning applications in networked systems. His research spans wired/wireless networks, DNS/DHCP/VoIP services, and neural networks for packet classification and security challenges. Hartpence is actively involved in curriculum development for networking and cybersecurity programs, emphasizing hands-on lab experiences. Education: BS, Rochester Institute of Technology MS, Rochester Institute of Technology Ph.D., Rochester Institute of Technology Research Interests: Hartpence's work centers on network visibility, security protocols, and real-time data quality. His neural network research addresses challenges in packet classification, adversary defense, and quality of service (QoS). He also explores software-defined networking (SDN) and the IEEE 1910.1 Meshed Tree project for faster network convergence. Teaching & Projects: Teaches courses on data communications, routing/switching, VoIP, and network design Runs the RIT SDN testbed and contributes to GENI Author of O'Reilly's Packet Guide series on core network protocols and VoIP Develops open-source virtualization clusters for education Labs & Collaborations: Hartpence's lab focuses on practical networking solutions, including hybrid physical/virtual network performance analysis and secure wireless architectures. He collaborates with industry partners like Wegmans on applied research projects.

Paul Dilleyمشاهده پروفایل

دانشیار

• Late Antiquity Studies
• Early Christianity
• Manichaean Texts
• +۵ مورد دیگر

Paul Dilley holds the Erling B. "Jack" Holtsmark Associate Professorship in Classics and serves as Department Executive Officer (DEO) of Religious Studies at the University of Iowa. He earned his PhD from Yale University in 2008. His research focuses on Late Antique religions, particularly early Christianity and Manichaeism, integrating digital humanities, cognitive studies, and philology. Notable projects include editing the Dublin Kephalaia Codex, a 5th-century Coptic manuscript of Manichaean texts, and advancing digital methods like X-ray tomography for manuscript analysis. His academic contributions extend to books such as Monasteries and the Care of Souls in Late Antique Christianity (2017) and co-editing Mani at the Court of the Persian Kings (2014). He has led grants from NEH, Mellon, and others, and his work has been featured in New York Times and Newsweek . Teaching interests include global manuscript cultures and digital humanities, with courses like "Big Ideas: Information, Society and Culture" and "Global Manuscript Cultures" co-taught with interdisciplinary colleagues. Research initiatives include the Mellon Sawyer Seminar on pre-modern Eurasian manuscript exchanges and collaborations with computer scientists on X-ray tomography. Awards include senior fellowships at the Mellon Society of Fellows and fellowships from Alexander von Humboldt and Citizens and Scholars (Newcombe). He chairs the SBL Digital Humanities Program Unit and co-edits volumes on Linked Open Data for ancient studies. Recent work combines cutting-edge technology with ancient texts, such as recovering hidden layers in manuscripts and analyzing large literary corpora via computational methods. His interdisciplinary approach bridges classical philology, religious studies, and digital innovation, shaping modern scholarly practices in textual analysis and cultural history.

Elizabeth McCullaghمشاهده پروفایل

استادیار

• Neurosciences
• Auditory Neuroscience
• Behavioral Neuroscience
• +۷ مورد دیگر

Elizabeth McCullagh is an Assistant Professor in the Integrative Biology department at Oklahoma State University (OSU) , affiliated with the College of Arts & Sciences . Her lab investigates how the brain processes sound location, focusing on neurodevelopmental disorders like Fragile X Syndrome (FXS), aging, and environmental factors. She uses techniques such as optogenetics, rabies neural circuit tracing, and comparative studies across species to probe auditory circuits. Education: PhD in Biology, University of Illinois at Chicago (2014) MSc in Biology, Virginia Tech (2017) BSc in Biology, Virginia Tech (2014) Postdoctoral Fellowship, University of Colorado Anschutz (2017-2020) Research Interests: Dr. McCullagh’s work synergizes three core areas: Manipulating auditory brain circuits using optogenetics and advanced neuroimaging (e.g., CARS). Studying FXS and autism to uncover auditory processing differences between healthy and diseased states. Exploring how auditory systems evolve in species like naked mole-rats, hispid pocket mice, and prairie voles, linking anatomy, environment, and behavior. She emphasizes multidisciplinary approaches, integrating neuroscience, endocrinology, and ecology to address how sound source information is processed and disrupted. Grants & Funding: She secured grants including the NIH-funded "Myelination Deficits Underlying Auditory Issues in FXS" (2021–2025) and the NSF RaMP program (2022–2025). Her lab also collaborates with institutions like Kicker to develop outreach exhibits. Teaching & Mentoring: Teaches courses like Principles of Neuroscience , Comparative Neurobiology , and oversees research courses for undergraduates and graduate students. Mentors multiple advisees, including PhD candidates Sabiha Alam and Grant Emerson, and MS student Genesis Alarcon. Her lab supports diverse trainees through programs like Niblack Research Scholars and ON-RaMP. Students work on projects ranging from mitochondrial function in FXS models to the effects of diet on Alzheimer’s symptoms. Labs & Collaborations: Leads the McCullagh Lab at OSU, collaborating with researchers like Dr. Giulia Bertolin (mitochondria studies) and Dr. Ed Lucas (dietary interventions). The lab also partners with the 500 Women Scientists initiative, contributing to tools like Gage to enhance gender visibility in STEMM.

Stefan Manegoldمشاهده پروفایل

استاد

• Database Systems
• Column-store Database Architectures
• Data Management for Sciences
• +۷ مورد دیگر

Stefan Manegold is a Professor for Data Management (0.2 fte) at Leiden University's Faculty of Science within the Leiden Institute of Advanced Computer Science (LIACS), while also serving as a Senior Researcher (0.8 fte) and former Head (2011-2024) of the Database Architectures Research Group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. His career spans over 27 years at CWI and 11 years as a professor at Leiden University, with prior experience at Humboldt-Universität zu Berlin. Professor Manegold's research focuses on innovative database architectures, particularly column-store systems and hardware-aware database technologies. His expertise spans database query optimization, parallel and distributed information systems, XML storage and processing, and scientific data management. He has pioneered work in adaptive indexing, progressive query processing, and main-memory database systems that leverage modern hardware capabilities. His research bridges theoretical database concepts with practical implementations, as evidenced by his involvement in the MonetDB open-source database system. His work shows a clear evolution from foundational database research toward addressing modern challenges in big data management, scientific data processing, and interactive analytics. Recent publications demonstrate his continued leadership in database indexing techniques, GPU-accelerated database operations, and geospatial data management. Professor Manegold has received significant recognition for his contributions to the database community, including the prestigious 2020 ACM SIGMOD Contributions Award, the VLDB'2011 Challenges & Visions Track Best Paper Award, and the VLDB'2009 10-year Best Paper Award. His work has had substantial impact on both academic research and practical database system design. He has been actively involved in the academic community through conference organization, particularly with SIGMOD and VLDB events, and has contributed to numerous workshops including the Data Management on New Hardware (DaMoN) series. His leadership extends to collaborative research projects such as SciLens, PROMIMOOC, and DAMIOSO, which address data management challenges in scientific domains. Professor Manegold leads the Database Architectures Research Group at CWI, which has been at the forefront of database system research for decades. The group's work on MonetDB has influenced modern column-store database systems and continues to push boundaries in areas like progressive query processing and hardware-aware database design.