جست‌وجوی استاد و پژوهشگر

Apostolos Zarrasمشاهده پروفایل

استاد

• Software Architecture
• Software Design
• Software Evolution
• +۷ مورد دیگر

Apostolos Zarras is a Professor in the Department of Computer Science & Engineering at the University of Ioannina, Greece. He has been with the institution since 2002, progressing from Visiting Professor to full Professor in 2022. His academic journey includes a Ph.D. from the University of Rennes 1, France (2000), an M.Sc. from the University of Crete (1996), and a B.Sc. from the same institution (1994). Education: Ph.D. in Computer Science, University of Rennes 1, France (1996–1999) M.Sc. in Computer Science, University of Crete, Greece (1994–1996) B.Sc. in Computer Science, University of Crete, Greece (1990–1994) His research centers on software engineering, with a focus on software architecture, design patterns, software evolution, middleware, and service-oriented computing. He explores quality aspects of software systems, including refactoring, schema evolution, and dependable systems. His work often bridges theoretical models with practical applications in distributed and pervasive environments. The recent publications reflect a strong trend in software evolution, particularly schema evolution in databases, refactoring patterns, and the empirical study of design patterns (e.g., GoF patterns) in real-world systems. Themes such as anti-patterns, tool support for refactoring, and naming conventions in SQL are recurrent, indicating a deep interest in improving software quality through structured design and evolution practices. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Apostolos Zarras has supervised over 17 B.Sc. theses, more than 12 M.Sc. theses, and one Ph.D. thesis. He has served as a principal investigator in several EU and national R&D projects, including the ForeverSOA INRIA project and the CHOReOS FP7 ICT IP project. His professional service includes extensive reviewing for top journals (IEEE TSE, CACM, etc.) and participation in program committees of major conferences (ICSE, FSE, Middleware, ER). Labs and Teams: He has collaborated with the ARLES Group at INRIA Rocquencourt, France, during multiple visiting researcher stays (2005–2008). His research is conducted within the Department of Computer Science & Engineering at the University of Ioannina, where he contributes to graduate studies and academic dissemination.

Loup Meuriceمشاهده پروفایل

پژوهشگر

• Database Systems
• Software Engineering
• Schema Evolution
• +۵ مورد دیگر

Loup Meurice is a Computer Science researcher at the University of Namur specializing in database systems and human-computer interaction technologies. His work bridges theoretical computer science with practical applications in data management and accessibility. His academic foundation includes: Bachelor in Computer Science (2011, University of Namur) Master in Computer Science (2013, University of Namur) PhD in Computer Science (2017, University of Namur) Meurice's research focuses on evolutionary database systems and accessibility solutions. His HyDRa framework revolutionizes hybrid polystore management through dynamic schema evolution techniques, while his recent work applies transformer models to sign language recognition. These dual research streams demonstrate exceptional versatility across low-level database engineering and high-impact assistive technologies. His publication trends reveal a strategic shift from core database engineering (2022 schema evolution frameworks) toward socially impactful applications (2023 sign language translation systems), maintaining technical rigor while expanding societal relevance. Award recognition: Best Paper Award at QRS 2016 for reliability/security innovations As academic supervisor, Meurice co-promotes doctoral research on French language acquisition tools for deaf students, demonstrating commitment to educational technology. His collaborative network spans 10+ international researchers across database theory and AI accessibility domains. Current projects involve the HyDRa framework development and context-aware sign language translation systems, operating within the University of Namur's computer science research ecosystem through multidisciplinary teams combining database specialists and human-computer interaction experts.

Tiark Rompfمشاهده پروفایل

دانشیار

• Programming Languages
• Compilers
• Software Engineering
• +۱۳ مورد دیگر

Tiark Rompf is an Associate Professor in the Department of Computer Science at Purdue University, where he has been a faculty member since Fall 2014. He is the founder and director of the Purdue Center for Programming Principles and Software Systems (PurPL), a research group focused on next-generation software systems that integrate data-driven algorithms, also known as "Software 2.0". His academic background includes a PhD from École Polytechnique Fédérale de Lausanne (EPFL), an MS from Universität zu Lübeck, and a BS from Universität Bremen, all in computer science. His research spans programming languages, compilers, systems, databases, machine learning, and AI. He is a leading figure in meta-programming, domain-specific languages (DSLs), and compiler design, particularly through his work on Lightweight Modular Staging (LMS). His interdisciplinary work bridges theory and practice, aiming to make high-level programming languages performant and scalable. The most recent publications highlight his focus on advanced type systems (e.g., reachability types), query languages (e.g., Flan, Rhyme), compiler IRs, and the integration of machine learning and data management systems. These works appear in top venues like POPL, OOPSLA, ICFP, SIGMOD, and ECOOP, indicating sustained influence and innovation in programming language research. Among his scientific contributions, he has no explicitly listed awards in the provided text, but his leadership in founding PurPL and his extensive publication record in premier conferences are significant recognitions of his impact. He advises a group of active researchers and students, many of whom are co-authors on his recent papers. His lab, PurPL, fosters collaborative research in programming principles and software systems, often involving meta-programming, differentiable programming, and system-level optimizations. He has led or co-led multiple collaborative projects, including work on Flare (a native compiler for Apache Spark), HACCLE (secure multi-party computation), and AutoGraph (imperative-style differentiable programming).

• Database Systems
• Natural Language Processing
• Digital Forensics
• +۵ مورد دیگر

Antje Raab-Düsterhöft is a researcher at Hochschule Wismar with a distinguished academic career spanning over three decades, evidenced by her continuous publication record from 1993 to 2024. Her work demonstrates sustained research activity and significant contributions to multiple areas within computer science. Her primary research interests include: Database Systems and Conceptual Modeling Natural Language Processing for Database Interfaces Digital Forensics and Cybersecurity Information Retrieval and Web Search Technologies Social Media Analysis Human-Computer Interaction Analysis of her publication history reveals a clear evolution in research focus. She began with foundational work in database design and natural language interfaces in the 1990s, progressed to linguistic-based search facilities in the early 2000s, and has more recently focused on digital forensics, social media analysis, and advanced cybersecurity topics. Her 2024 publications on data security and forensic strategies for software-defined networks demonstrate her continued relevance in addressing contemporary technological challenges. Dr. Raab-Düsterhöft has maintained extensive research collaborations throughout her career, most notably with Bernhard Thalheim (15 co-authored publications), Meike Klettke (9 publications), Andreas Heuer (7 publications), and Edith Buchholz (7 publications). These long-term partnerships indicate her integration within established research communities and her collaborative approach to academic work.

Roee Shragaمشاهده پروفایل

استادیار

• Data Integration
• Data Discovery
• Human-in-the-loop Machine Learning
• +۷ مورد دیگر

Roee Shraga is an Assistant Professor in the Computer Science department and Data Science program at Worcester Polytechnic Institute (WPI). He previously held a Postdoctoral Research Associate position at the Data Lab within Khoury College of Computer Sciences at Northeastern University in Boston, MA. Ph.D. in Data Science, Technion – Israel Institute of Technology (2020) M.E. in Data Science, Technion (2017) B.Sc. in Industrial Engineering and Management (Information Management Engineering), Technion (2015) Shraga’s research focuses on Data Integration , Data Discovery , Human-in-the-loop Machine Learning , Information Retrieval , and Large Language Models (LLMs) . His work bridges data management, machine learning, and human-computer interaction to improve data quality in AI systems. Recent publications include advancements in LLM-driven data integration , semantic table union search , and contrastive entity resolution . Key contributions include the Explain-Da-V framework for semantic data versioning and FlexER for intent-aware entity resolution. Scientific recognition includes: iiWAS 2024 best paper award TaDA@VLDB24 best paper award Council for Higher Education (VATAT) scholarship Leonard & Diane Sherman Interdisciplinary Fellowship (2017) Daniel Excellence Scholarship (2019) Miriam & Aaron Gutwirth Memorial Fellowship (2020) He leads NSF-funded research on Human-in-the-loop AI (CRII grant) and co-organizes the HILDA workshop. His teams have won multiple Outstanding MQP Awards for undergraduate research.

• Distributed Systems
• Database Systems
• Cloud Computing
• +۵ مورد دیگر

Joe Hellerstein serves as the Jim Gray Professor of Computer Science at the University of California, Berkeley and is Co-Director of the RISELab. He is also Founder and Chief Strategy Officer of Trifacta, demonstrating his strong bridge between academic research and industry application. His research interests focus on distributed systems , database technologies , and scalable data infrastructure . Hellerstein has made significant contributions to understanding distributed consistency through the CALM Theorem, developed high-performance database systems like Anna, and created open-source platforms including Clipper, Ground, and Ray through the RISELab. Analysis of his recent publications reveals a consistent theme of building practical systems that address fundamental challenges in data management at scale. His work spans theoretical foundations of distributed computing to production-ready open-source implementations, with particular emphasis on balancing performance, consistency, and scalability. Jim Gray Professorship (endowed chair) Hellerstein has mentored numerous researchers in the database and systems community, though specific student names aren't mentioned in the provided text. His work on the Postgres project as a graduate student demonstrates his long-standing engagement with foundational database technology. The RISELab under his co-direction has released multiple open-source systems that are actively used in both research and industry settings. His laboratory work focuses on building the next generation of data-intensive systems through the RISELab, with particular attention to real-time intelligent software environments that can harness diverse data sources efficiently.

Christian Drummمشاهده پروفایل

استاد

• Business Information Systems
• SAP Systems
• Enterprise Resource Planning
• +۳ مورد دیگر

Prof. Dr. Christian Drumm is a Professor of Business Information Systems at the FH Aachen (Aachen University of Applied Sciences) within the Department of Economics. Since 2017, he has specialized in Business Administration, particularly Business Information Systems and SAP S/4HANA implementation. His academic journey includes a doctorate from the University of Karlsruhe completed in 2008 on the topic of “Improving Schema Mapping by Exploiting Domain Knowledge”. Dr. Drumm’s research spans two primary domains: SAP/ERP systems and educational technology. His work in Business Information Systems focuses on practical SAP S/4HANA implementation, ERP education, business process management, and logistics optimization. Simultaneously, he has conducted significant research on eye-tracking technology in educational contexts, particularly examining how visual attention patterns differ between experts and novices in programming education. His publication record reveals a clear trajectory from foundational research in schema matching and data migration (2014-2016) to practical SAP implementation guides (2019-2022), culminating in the 2024 official companion book for SAP S/4HANA. This evolution demonstrates his transition from theoretical computer science research to applied business information systems education. SAP Champion recognition Co-Founder of the ABAP CodeRetreat Former member of the SAP DACH Academic Board As an educator and consultant, Dr. Drumm bridges academia and industry through his podcast “Code and Context,” his consulting work with trans4mio, and his role as Coach at ASE Coaching. He leads the WiLMo project (Business Informatics Teaching and Learning Modules), a collaborative effort among six universities developing standardized digital teaching materials in business informatics. His current work emphasizes digital sovereignty, low-code/no-code platforms, and practical ERP implementation strategies.

• Multi-model data management
• Schema inference and evolution
• XML and semi-structured data
• +۳ مورد دیگر

Irena Holubová, Ph.D. , is an Associate Professor at the Department of Software Engineering , Faculty of Mathematics and Physics , Charles University in Prague, Czech Republic. Her work focuses on multi-model data management, schema evolution, XML and graph data processing, and inferred social networks. She has led or co-led numerous national and international research projects, supervised over half a dozen Ph.D. students, and contributed extensively to the academic community. Education: Ph.D. in Computer Science (exact university and year not specified in text) Research Interests: Her research spans multi-model data management , including modeling, schema inference, and evolution. She explores inferred social networks through graph analytics and real-world data. Previously, her work included Linked Data , XML schema inference , XML benchmarking , and management of XML data using relational databases . Grants and Projects: Principal researcher, GAČR 23-07781S: Self-Adapting Management of Multi-Model Databases (2023–2025) Principal researcher, GAČR 20-22276S: Unified Management of Multi-Model Data (2020–2022) Co-researcher, TAČR TH03010276: System for advanced analytics of large connected data (2018–2020) Supervisor, GAUK 292323: Self-adaptive management of multi-model databases (2023–2025) Supervisor, GAUK 1416213: Evolution and adaptability of complex applications (2013–2015) Co-researcher, GAČR P202/10/0573: Handling XML Data in Heterogeneous and Dynamic Environments (2010–2012) Principal researcher, GAČR 201/09/P364: Management of XML data in (object-)relational databases (2009–2011) Member, GAČR 201/06/0756: Development of a Native Storage for XML Data (2006–2008) Member, SemWeb 1ET100300419: Intelligent Models for the Semantic Web (2005–2008) Conference Organization: Co-organizer: FiCloud ’17, MobiWis ’17, Innovate-Data ’17, NoSQL-Net ’15/’14, BenchmarX ’10/’09, X-Schemas ’09, MoViX ’09 Editorial and Reviewing Roles: PC member: MEDI, IDEAS, ACM SAC, ICIST, CoMoNoS, RCIS, VLDB Journal, Big Data Research Journal, and many more Reviewer: VLDB Journal, The Computer Journal, LNCS Transactions, special issues, and books Independent expert: EU FP7, Horizon 2020 Ph.D. Students Supervised: Jáchym Bártík (2022–) Pavel Koupil (2019–2022, finalist Antonín Svoboda Award) Marek Polák (2012–2017) Martin Svoboda (2010–2015, Dean's Award for Best Master Thesis) Jakub Stárka (2010–2013) Tomáš Knap (2008–2013, finalist IT Master Thesis 2009) Labs and Teams: She leads the Data Management Research Group at the Department of Software Engineering, focusing on multi-model databases, schema evolution, and XML technologies. The group has produced tools like MM-cat , Socneto , STOCK , BDgen , DaemonX , jInfer , and Analyzer .

Michael R. Grimailaمشاهده پروفایل

استاد

• Cybersecurity
• Quantum Key Distribution
• Information Assurance
• +۴ مورد دیگر

Dr. Michael R. Grimaila is a Professor of Systems Engineering at the Air Force Institute of Technology (AFIT) with expertise in cybersecurity, quantum key distribution, and systems engineering. He holds a Ph.D. in Computer Engineering from Texas A&M University and completed post-doctoral work in Information Assurance at the University of Maryland University College. He maintains professional certifications including CISSP and CISM. His research focuses on: Quantum cryptography and secure communications Cybersecurity architecture for critical infrastructure Malware analysis and intrusion detection systems Military network security and wargame simulation Information assurance methodologies Recent publications demonstrate strong emphasis on quantum-resistant cryptography (42%), military systems simulation (33%), and advanced cybersecurity frameworks (25%). His work frequently appears in IEEE journals and defense technology publications. Honors & Awards ISC² Government Information Security Leadership Award (2011) IEEE Best Paper Awards at VLSI Test Symposium (2000, 1999) Multiple AFIT Teaching/Research Excellence Awards (2005-2012) Fellow, Information System Security Association He leads research in AFIT's Center for Cyberspace Research and advises graduate students in cybersecurity projects. His team develops modeling frameworks for quantum communication systems and military cyber operations.

• Theoretical Computer Science
• Database Theory
• Formal Logic
• +۵ مورد دیگر

Nicole Schweikardt is a Professor at the Institute of Computer Science within Humboldt University of Berlin . Her research focuses on Theoretical Computer Science , particularly in Database Theory , Formal Logic , and Algorithmic Meta-Theorems . Academic Rank: Professor Contact: schweikn@informatik.hu-berlin.de Research Interests : Nicole investigates logical characterizations of database query languages, algorithmic meta-theorems for sparse graphs, and efficient enumeration techniques. Her work bridges formal logic, computational complexity, and practical database systems. Scientific Awards : 2018 ACM PODS Alberto O. Mendelzon Test-of-Time Award Recent Article Trends : Nicole's recent publications emphasize schema matching , spanner evaluation , first-order logic extensions , and query enumeration . Her work spans theoretical foundations (e.g., counting quantifiers, Hanf normal forms) and practical applications (e.g., event stream analysis, document compression).

Christian-Emil Smith Oreمشاهده پروفایل

دانشیار

• Digital Humanities
• Lexicography
• Text Encoding
• +۳ مورد دیگر

Christian-Emil Smith Ore is an Associate Professor and head of the Unit for Digital Documentation (EDD) at the University of Oslo. With 25+ years in digital humanities, he focuses on cultural heritage documentation, lexicography, and electronic text editions. His work emphasizes standards like TEI for text encoding and CIDOC-CRM for data interchange to enable cross-disciplinary research integration. Research interests span: Digital methods for cultural heritage preservation Lexicographic research and corpus linguistics Semantic modeling of historical texts Development of digital infrastructures for humanities research Cross-institutional data interoperability Publications from 2017-2024 demonstrate consistent focus on lexicographic innovation, archaeological data modeling, and digital preservation. Key thematic clusters include: Evolution of Norwegian lexicography and language standardization Semantic frameworks for cultural heritage data integration Digital tools for historical text analysis and dictionary development Professional leadership includes: Co-founding the Medieval Nordic Text Archive (menota.org) Chairing Digital Humanities in Nordic countries (DHN) Co-chairing TEI ontology SIG Leading conceptual modeling for Archaeological Digital Excavation Documentation (ADED) infrastructure

Martin Prammerمشاهده پروفایل

پژوهشگر ارشد

• Database Systems
• Computer Architecture
• Data Analytics
• +۳ مورد دیگر

Martin Prammer is a Post Doctoral Fellow at the Computer Science Department of Carnegie Mellon University. His research focuses on database systems, computer architecture, and data analytics acceleration through hardware-software co-design. Office: Gates and Hillman Centers, Room 9118 Email: mprammer@cmu.edu Dr. Prammer's work explores innovative approaches to database optimization, including: Algorithmic-hardware co-design for dense retrieval systems DRAM-PIM (Processing-in-Memory) integration for analytics acceleration Functional decomposition of storage formats Efficient integer encoding for skewed data processing His research has been applied to both theoretical advancements and practical implementations in SQLite optimization and mobile application testing. Current projects demonstrate strong connections between database engineering, computer architecture, and software systems research.

CLAUDIA DIAMANTINIمشاهده پروفایل

استاد

• Data Science
• Process Mining
• Machine Learning
• +۵ مورد دیگر

Prof. Claudia Diamantini is a Full Professor at the Department of Information Engineering (D.I.I.) of the Polytechnic University of Marche, located in Ancona, Italy. She specializes in data science, process mining, machine learning, and semantic technologies with a focus on applications in sustainability, education, and industrial systems. Her research explores topics such as knowledge graphs, predictive modeling for environmental metrics, and educational data analysis using AI techniques. Prof. Diamantini's work integrates advanced computational methods with real-world challenges, including energy efficiency in building engineering, anomaly detection in business processes, and semantic-driven data lake analytics. She leads initiatives to enhance decision-making through data-driven approaches, such as optimizing KPI forecasting and improving public transport performance monitoring. Her scholarly contributions span over 50 articles in top-tier conferences and journals, emphasizing interdisciplinary applications of computer science. She collaborates on EU-funded projects and advises graduate students in engineering and computer science disciplines. Office hours are held weekly at the Faculty of Engineering.

Emmanuel Giannakoudakisمشاهده پروفایل

استاد

• Database Analysis and Design
• Information Retrieval
• Databases for Artificial Intelligence
• +۳ مورد دیگر

Professor Emmanuel Giannakoudakis is a distinguished faculty member at the Department of Informatics, School of Information Sciences and Technology at Athens University of Economics and Business (AUEB). With a Ph.D. in Computer Science from the University of Bradford UK, he has established himself as a leading expert in database systems and information management. Professor Giannakoudakis' research focuses on Database Analysis and Design , Information Retrieval , and specialized applications of databases in Artificial Intelligence and Psychometric Testing . His work bridges theoretical database concepts with practical implementations, particularly in dynamically evolving database environments and specialized applications requiring sophisticated data management solutions. His research has significant implications for both academic theory and real-world information systems development. His scientific contributions have been recognized with numerous honors including the 1st prize for the best scientific paper at the 5th World Conference on Computer Science and Government (CITSA) in 2008. He is also a Fellow of the British Society of Computer Scientists and holds the prestigious designations of Chartered Computer Engineer (C.Eng) and Chartered Information Technology Professional (CITP) . Professor Giannakoudakis has directed various research programs funded by the European Union, the British National Library, the British Ministry of Industry, the General Secretariat for Research & Technology, and the Ministry of National Economy & Finance. He has served as consultant to the Greek Minister of Research and Technology and the Greek Minister of Education, and was Vice President of the University Research Center. He is an active member of organizing and program committees for international conferences including ACM, and regularly evaluates research proposals for the European Union and research articles for academic journals.

Oscar Pastorمشاهده پروفایل

استاد

• Conceptual modeling
• Model-driven engineering
• Requirements engineering
• +۵ مورد دیگر

Full Professor and Director of the Valencian Research Institute of Artificial Intelligence (VRAIN) and the Research Center on Software Production Methods (PROS) at Polytechnic University of Valencia. Holds leadership positions including Director of Internationalization and Transference at VRAIN since 2022, Director of PROS since 2008, and former Director of the Department of Informatics Systems and Computation (2001-2002). PhD in 1992 after research at HP Labs, Bristol. Research spans conceptual modeling, model-driven engineering, and bioinformatics applications. Created the OASIS specification language and OO-METHOD production framework. Led development of IntegraNova, an MDA-based Conceptual Model Compiler commercialized through CARE Technologies (founded 1996). Current work focuses on Conceptual Modeling-based interpretation of Human Genome data. Recent publications demonstrate strong interdisciplinary convergence between software engineering and genomics, with significant output in model-driven development validation, ontology-based modeling, and genomic data management systems. Key themes include empirical validation of modeling techniques, precision medicine infrastructure, and evolutionary algorithms for requirement traceability. International Peter Chen Award on Conceptual Modeling (2016) ER Fellow Award (2010) Supervised 33 PhD and 51 Master's theses. Secured extensive funding including 7 international, 8 national, and 5 regional competitive projects plus 10 technology transfer projects. Edited 33 conference proceedings and organized 12 international conferences. Serves on steering committees for ER, CAiSE, ESEM, and other major conferences. Leads the PROS Research Center and multidisciplinary teams bridging information systems and bioinformatics. Current projects develop tools for genomic data interpretation using conceptual modeling frameworks, with applications in precision medicine and life engineering.