جستجوی استاد راهنمای دانشگاهی

Luc Segoufinمشاهده پروفایل

استاد پژوهش

• Database theory
• Verification
• Logic in computer science
• +۳ مورد دیگر

Luc Segoufin is a Research Professor at INRIA (French National Institute for Research in Computer Science and Automation), affiliated with the Department of Computer Science at École Normale Supérieure (ENS) in Paris. He leads the VALDA research team, focusing on theoretical computer science foundations. His research spans: Database theory: Query answering, consistency, and enumeration complexity Logic and automata: Finite model theory, automata over data structures Computational complexity: Fine-grained analysis and lower bounds Formal methods: Verification and logic-based modeling His recent publications (2022–2024) concentrate on: Dichotomy theorems for query answering under constraints Constant-delay enumeration algorithms for structured data Decidability in logic fragments over trees and graphs Connections between automata, algebra, and complexity No scientific awards are mentioned in available sources. He collaborates extensively within the VALDA team and international researchers on projects involving database theory, logic, and automata. No student advising details are provided.

• Big Data Analytics
• Cloud Computing
• Data Stream Processing
• +۴ مورد دیگر

Yanlei Diao is a Professor of Computer Science at École Polytechnique (France) with a joint appointment at the University of Massachusetts Amherst. She received her PhD from UC Berkeley in 2005. Her research focuses on scalable data systems, particularly in big data analytics, cloud computing optimization, and real-time stream processing. Research Interests: Her work spans cloud infrastructure optimization (UDAO project), explainable anomaly detection in data streams (EXAD), interactive data exploration (AIDEme), genomic data analysis (GESALL), and uncertain data management (CLARO). She leads the CEDAR team at Inria/LIX focusing on cloud-scale data exploration. Awards & Honors: ERC Consolidator Grant (2017-2023) CRA-W Borg Early Career Award (2013) NSF CAREER Award (2008) Keynote speaker at ACM DEBS 2021 and SWIFT 2023 AI Forum Best Paper Award at SIGMOD 2011 ACM SIGMOD Dissertation Honorable Mention (2005) Advising & Leadership: Mentored over 20 PhD students and postdocs, currently supervising 7 researchers. Served as PVLDB PC Co-Chair (2025-2026) and ACM SIGMOD Editor-in-Chief (2014-2019). Leads multiple projects with industry partners including Alibaba Cloud.

Jeremy Fei Wangمشاهده پروفایل

استاد

• Artificial Intelligence
• AI-Driven Recommendation Systems
• E-Commerce
• +۴ مورد دیگر

Jeremy Fei Wang is a Professor of Computer Information Systems at Flagler College within the School of Liberal Arts and Sciences and Department of Math & Technology, also serving as Director of the China Program. He leverages extensive industry experience from senior consulting roles at Cap Gemini Ernst & Young and Meritage Technologies, where he collaborated with global clients including Procter & Gamble and General Electric on enterprise IT solutions. Dr. Wang's academic credentials include: Ph.D. in Business Information Technology from Virginia Tech (2022) M.B.A. with MIS concentration from Ohio University (1998) B.A. in Economics from Marietta College (1996) His research centers on artificial intelligence applications in business contexts, with particular expertise in AI-driven recommendation systems, e-commerce frameworks, and Web 2.0/mobile platform development. Dr. Wang investigates user trust in AI agents through affordance theory, examines AI's impact on customer relationship management, and explores localization strategies for digital platforms in international markets. His work bridges theoretical innovation with practical business implementations across consumer products, finance, and healthcare sectors. Analysis of Dr. Wang's publication history (2010-2023) reveals a consistent trajectory from foundational Web 2.0 and e-commerce studies toward cutting-edge AI research, particularly in recommendation agent design. His recent work demonstrates increasing focus on China's digital ecosystem and dual-process models for user behavior, while maintaining strong connections to enterprise systems and mobile application development. The integration of affordance theory across his publications provides a unifying framework for understanding human-AI interaction. Professional recognition includes: Honored Guest Professor appointments at three Chinese universities Cap Gemini Ernst & Young's 'Consultant of the Month' (awarded twice) Cap Gemini Ernst & Young's 'Ace Award' (top 3% globally) Phi Kappa Phi honor society membership Beta Gamma Sigma and Omicron Delta Epsilon distinctions As an educator, Dr. Wang developed and teaches courses spanning business analytics, ERP systems, mobile application development, and information security. His China Program leadership involves strategic partnership development, recruitment innovation, and family support systems for Chinese students. His industry background directly informs classroom practice through real-world case studies and hands-on technical training.

• Automata Theory
• Formal Methods
• Tree Automata
• +۴ مورد دیگر

Christof Löding is an Adjunct Professor at the Department of Logic and Theory of Discrete Systems (Computer Science 7) at RWTH Aachen University. His research focuses on automata theory, formal verification, and logical foundations of computer science, with significant contributions to Büchi automata, tree automata, and stochastic games. Academic affiliation: RWTH Aachen University, Germany Research areas: Automata theory, Formal methods, Game theory, Logic in computer science Contact: loeding@informatik.rwth-aachen.de His recent work spans deterministic parity automata construction, finite-valued transducers, and algorithmic solutions for infinite games. Publications emphasize theoretical foundations and practical applications in program verification and XML processing. Articles analyze automata learning, uniformization problems, and lookahead degrees in infinite games, showing interconnections between automata theory and formal verification.

• Computer Networking
• Software-Defined Networking (SDN)
• Distributed Systems
• +۳ مورد دیگر

Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +۵ مورد دیگر

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

• Database Systems
• Integration of heterogeneous databases
• Data quality and data integrity
• +۶ مورد دیگر

Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.

Nathan C. Hulseمشاهده پروفایل

استاد مدعو

• Biomedical Informatics
• Clinical Decision Support Systems
• Knowledge Management
• +۶ مورد دیگر

Nathan C. Hulse, PhD, is an Adjunct Professor at the University of Utah's Department of Biomedical Informatics and Director of Clinical Knowledge Management at Intermountain Healthcare. He specializes in biomedical informatics, focusing on clinical decision support systems, family health history tools, and health information standards development. Education: PhD in Medical Informatics (University of Utah), BS in Computer Science (University of Utah) His research explores: Knowledge management strategies for EHR systems Consumer-facing health informatics tools for risk assessment Integration of genetic data into clinical workflows Standards-based interoperability (HL7, FHIR) Personalized health education delivery Analytics for clinical guideline adherence His publications emphasize: Electronic health record optimization Infobutton systems for point-of-care education XML-based clinical knowledge modeling Peer feedback mechanisms in medical knowledge bases Federated data sharing environments Visual analytics for clinical practice guidelines

• Database Systems
• Data Management
• Data Mining
• +۴ مورد دیگر

Michael Grossniklaus is a Professor at the University of Konstanz, Germany, specializing in database systems, data management, and information systems. His research focuses on query optimization, social media data streams, and object-oriented databases. He has contributed to the development of C-SPARQL for RDF stream processing and frameworks for adaptive data management. Grossniklaus has collaborated extensively with researchers in areas such as trajectory data modeling, cloud database optimization, and context-aware systems. His work emphasizes practical applications in education technology, mobile computing, and semantic web technologies. Affiliation: University of Konstanz, Germany Key Research Areas: Database Systems, Data Mining, Social Media Analysis, Query Optimization Notable Projects: C-SPARQL, Sahara (cloud database optimization), LPLM (neural cardinality estimation) Recent publications highlight advancements in neural models for cardinality estimation, trajectory data models, and memory optimization in cloud databases. His interdisciplinary approach bridges theoretical foundations with real-world applications in education, social media, and mobile systems.

Nitin Aggarwalمشاهده پروفایل

استاد

• Technology Standardization
• Intellectual Property Issues
• Economics of Standards
• +۳ مورد دیگر

Nitin Aggarwal is a Professor in the School of Information Systems and Technology at the Lucas College and Graduate School of Business, San José State University. He holds a Ph.D. in Business Administration (MIS) from Texas Tech University, an MBA in Marketing, and an undergraduate degree in Physics from Delhi, India. His research focuses on technology standardization, intellectual property governance, and transaction cost analysis in technology development. He teaches courses in networking, data communications, and business systems policy. Education: Ph.D., Business Administration (MIS), Texas Tech University, 2007 MBA, Marketing, [Institution Not Specified] Bachelor of Science, Physics, Delhi, India Research interests include the economics of technology standards, IP bundle theory, and the impact of coalition size on standard-setting initiatives. His work explores how governance structures influence innovation and market outcomes in IT sectors. Recent studies address IoT adoption barriers, AI in education, and MOOC subscription behaviors. Teaching responsibilities include multiple sections of Networking and Data Communications (BUS4 111), Introduction to Business Programming (BUS4 092), and Business Systems and Policy (BUS4 188), with courses offered across semesters from 2018 to present. Office hours are maintained for student consultations.

Marco Mesitiمشاهده پروفایل

دانشیار

• Data Management
• Big Data Visualization
• Data Integration
• +۶ مورد دیگر

Marco Mesiti is an Associate Professor at the Department of Computer Science, University of Milan, Italy. He holds a PhD and Laurea in Computer Science from the University of Genova. His research focuses on data management, big data visualization, and bioinformatics, particularly in biomolecular networks and IoT data. He is a member of AnacletoLAB and has contributed to developing tools like UNIPred-Web for biomolecular network analysis. Education: PhD in Computer Science, University of Genova, 2003 MSc in Computer Science, University of Genova, 1998 Laurea (BSc equivalent) in Computer Science, University of Genova (cum laude) Research Interests: His work spans XML data handling, semistructured data, and applications in bioinformatics, IoT, and credit worthiness. He explores approaches to manage heterogeneous data, including visualization techniques and knowledge graph construction. Recent projects include RNA-centered knowledge graphs and GPU-based algorithms for large networks. Publications: Recent work includes advancements in machine learning for protein design, RNA interaction analysis, and multi-omics data integration. His research emphasizes scalable methods for biomolecular networks and visual analytics tools. Grants & Collaborations: Involved in projects like ELISE and MUSE. Collaborates internationally on bioinformatics and computational biology initiatives. Labs & Teams: Member of AnacletoLAB, focusing on machine learning and data science applications.

• Artificial Intelligence
• Computer Science
• Financial Modeling
• +۴ مورد دیگر

José Ignacio Olmeda Martos is a Professor at the Computer Science Department of the University of Alcalá, Spain. His research focuses on artificial intelligence, neural networks, financial modeling, and applications in tourism and e-learning. He leads the CSRG-UAH Cognitive Science Research Group and the AUDITAI Group for AI Software Development. He earned his Ph.D. in 1996 with a thesis on nonlinear financial models under Dr. Sergio Barba-Romero. His work bridges computational methods with real-world challenges in finance, tourism, and education. Research interests include predictive analytics, algorithmic optimization (genetic algorithms, SOMs), and accessibility in digital systems. His contributions span hybrid models in credit scoring, volatility forecasting using neural networks, and e-commerce adoption analysis. Over 25 years, he has published extensively on topics like tourism demand prediction (PLAZA project), web accessibility metrics, and financial market predictability. Key projects include developing internet-based tourism reservation systems for Castilla-La Mancha and applying wavelet filtering in financial time series. His research emphasizes interdisciplinary applications, integrating AI with tourism management and financial engineering. Education: Ph.D., Universidad de Alcalá, 1996 Publications reflect his expertise in computational finance, tourism technology, and machine learning. Despite no listed awards, his work demonstrates sustained impact in both academic and applied domains. Advising and grant activities are not detailed in the provided texts.

Weimin Heمشاهده پروفایل

استاد

• Big Data Management
• Information Retrieval
• XML Data Management

Weimin He is a Professor in the Department of Computing and New Media Technologies at the University of Wisconsin-Stevens Point, where he has taught since 2009. As Academic Director, he initiated and developed the online Applied Computing degree-completion program. His research is recognized internationally, with publications cited at conferences like the International Conference on Information System and Artificial Intelligence. Education: Ph.D. in Computer Science, University of Texas-Arlington M.S. in Computer Science, Yunnan University, China B.S. in Computer Science, Yunnan University, China Research Focus: Professor He specializes in XML data management systems, information retrieval optimization, and scalable big data solutions, emphasizing practical applications in search engine technology and database efficiency. Publications: His 3 most recent articles (2011-2019) focus on XML query processing, visual evaluation interfaces, and Lucene-based search engines, reflecting sustained innovation in data retrieval methodologies. Professional Leadership: Senior Member, International Association of Computer Science & Information Technology Program Committee Member, International Conference on Frontiers of Information Technology (2018-present) Editorial Board, International Journal of Communications and Information Sciences (2010-present) and International Journal of Computer Theory and Engineering (2014-present) Courses Taught: Database Systems, Object-Oriented Programming, Data Structures and Algorithms, Programming Languages, Introduction to XML, and foundational computing courses.

David Philipp Eibeckمشاهده پروفایل

پژوهشگر

• Ancient History
• Epigraphy
• Numismatics
• +۵ مورد دیگر

David Philipp Eibeck is a Researcher in the Department of Ancient History at Johannes Gutenberg University Mainz since April 2023, while also serving as a project collaborator on the DFG-funded Editing Tools for Digital Epigraphy (EDEp) project. He holds an MA in History (2022) with specialization in Ancient History from the University of Stuttgart, where he previously taught epigraphy, archaeology, and Latin. His research focuses on Roman Republic political dynamics Cultural identity in Republican Italy Digital epigraphy and numismatic analysis Colonization processes in the Western Mediterranean His recent publications highlight interdisciplinary approaches combining epigraphic records with digital tools and numismatic evidence. Notably, he received two prestigious awards for his MA thesis: Bürkert Universitätspreis (2023) Wilhelm Zimmermann-Preis (2023) As an active member of the international Epigraphy.info research community—including roles on its Steering Committee (2023–2025) and Communication & Outreach Working Group—he contributes to epigraphic education through initiatives like the Saxa Loquuntur summer school and collaborative inscriptional editions.

Paola Peratelloمشاهده پروفایل

پژوهشگر

• Runology
• Old Norse manuscript tradition
• Old Norse languages (East Norse)
• +۸ مورد دیگر

Paola Peratello is a Researcher in Germanic Philology and Linguistics (GERM-01/A) at the Department of Comparative Linguistic and Cultural Studies, Ca' Foscari University of Venice. She specializes in runology, Old Norse manuscript traditions, and digital philology, with a focus on multispectral imaging and digital scientific editions. Research Projects: CHANGES - Cultural Heritage Active Innovation for Sustainable Society (PNRR-funded) Education: PhD in Germanic Philology (2023, University of Verona) and Master's in Digital Humanities (2019, Ca' Foscari University). Her work bridges paleography, codicology, and digital humanities, particularly through the Menota Archive collaboration. She has presented at major conferences like DH2024 and AIUCD2023. Scientific Awards: Doctoral scholarship from the Department of Excellence (2018-2022) She collaborates across disciplines, integrating neuroscience and digital methods for cultural heritage analysis, and has contributed to curatorial projects on marginalized historical narratives.